{ "count" : 146733, "data" : [ { "id" : "6a30a1e0f292fd229c116bc7", "title" : "Senior Systems Engineer, Commercial Intelligence and Analytics", "company" : "The Trade Desk", "salary" : { "min" : 103200.0, "max" : 189200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Los Angeles", "locations" : [ "Los Angeles" ], "timestamp" : "2026-06-16T11:28:25.573", "fingerprint" : "d7e262297b8635fe92de83a9e768ba73a30f8a99e9e2492dc5e8510de2d3073a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/thetradedesk/jobs/5165087007", "externalId" : "5165087007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more. Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly. The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you’re driven to solve meaningful challenges, we’d love to meet you. We are seeking a Senior Systems Engineer, Commercial Intelligence and Analytics to build high-impact analytical systems supporting TTD’s cross-functional teams, with a focus on Sales and Client Services. This role sits at the intersection of commercial analytics, applied intelligence, and go-to-market execution. You will identify system gaps, design solutions, and ship scalable data systems, insight pipelines, and automated workflows that support a broad set of internal stakeholders. Working across Commercial Operations, Revenue Operations, Business Technology, Finance, and related teams, you will help translate analysis into proactive signals that improve prioritization, decision-making, and field execution. This role owns the engineering lifecycle of intelligence systems from requirements and architecture through deployment, monitoring, and iteration. You will work closely with other teams to deliver clear, trusted, and actionable intelligence that improves seller focus, client outcomes, and the overall client experience at TTD. What we do Commercial Operations is composed of closely connected functions that help TTD grow revenue in a disciplined, scalable, and data-driven way. Across these teams, we improve visibility, standardize key metrics, strengthen decision support, and help client-facing teams act with greater precision and consistency. Within this organization, Commercial Intelligence and Analytics turns commercial, product, and client data into insight products that support internal teams and improve how TTD serves, grows, and retains clients. We build data pipelines, signal frameworks, and decision-support systems that help Sales and Client Services teams understand portfolio health, prioritize effort, identify risk and opportunity earlier, and engage clients more effectively. Our work spans scalable reporting infrastructure, proactive signal delivery, and AI-assisted workflows that operationalize intelligence into durable, production-grade systems. Core mission The Senior Systems Engineer owns the design, development, and reliability of intelligence systems from requirements through production. This includes identifying where systems, automation, or infrastructure improvements can unlock better decision support. It also includes architecting insight pipelines, defining technical requirements, and building and deploying scalable solutions. The systems you build should be trusted, understandable, and useful. Success in this role is measured by the durability, reliability, and impact of the systems you ship. What you'll work with Python, SQL, Snowflake, Tableau, Git/GitLab (CI/CD), LLM APIs, Docker, Jira, Confluence What you'll do Own and maintain the production systems that surface revenue performance, portfolio health, renewal dynamics, client opportunity, and service risk so internal teams can act on the right priorities with confidence. Design, build, and operate proactive insight pipelines, translating recurring business needs into system architecture, data models, signal logic, and production-ready outputs so intelligence can be delivered consistently at scale. Work directly with Business Technology and Revenue Operations to integrate intelligence outputs into dashboards, alerting systems, and operational workflows so signals reach users through the tools where decisions are made. Build and deploy tools, signals, and automated deliverables that help teams prioritize effort, identify risk and opportunity, and act with greater precision so commercial resources are directed where they matter most. Build trusted, production-grade data assets and pipelines using SQL, Python, validated metrics, and well-documented logic so downstream systems remain reliable, explainable, and maintainable. Integrate AI and LLM capabilities into systems and workflows to accelerate exploration, automate documentation, detect anomalies, and improve pipeline quality so teams can move faster without sacrificing rigor. Translate ambiguous commercial problems into concrete technical plans, stakeholder-aligned requirements, and measurable deliverables. Identify and prioritize scalable system investments that are actionable and likely to drive broad commercial impact. Embed intelligence outputs into go-to-market systems and instrument delivery to assess whether signals reach the right users, inform action, and improve outcomes. Raise the team’s engineering bar through rigorous documentation, automated testing, metric governance, and repeatable, version-controlled workflows. Required qualifications 5+ years of experience in analytics engineering, data engineering, software engineering, or a similarly systems-oriented role with strong quantitative foundations. Strong SQL skills and experience working with large, complex datasets in modern data environments. Proficiency in Python for building production systems, automation, and data pipeline development. Strong foundation in software development practices including version control (Git), code review, testing, and CI/CD pipelines. Experience translating business requirements into technical designs, system architecture, and production-ready deliverables. Experience building durable, automated systems rather than relying on ad hoc or manual processes. Demonstrated track record of identifying opportunities, proposing solutions, and independently driving systems, automation or technical initiatives from concept through adoption, often in ambiguous or loosely defined environments. Experience operating in technical environments while collaborating with a broad set of internal stakeholders, including client-facing teams. Familiarity with AI- or LLM-assisted tools and strong judgment in applying them responsibly and validating outputs to ensure accuracy, rigor, and reliability. Strong written and verbal communication skills, including the ability to explain findings and tradeoffs clearly to a range of stakeholders. Strong attention to data quality, metric consistency, and engineering rigor. Preferred qualifications Experience supporting Sales, Client Services, Revenue Operations, or other go-to-market teams in analytically rigorous environments. Experience deploying proactive signals, recommendations, or decision-support systems into production environments. Experience building and maintaining production data pipelines or ETL/ELT systems. Familiarity with advertising technology, digital media, measurement, or platform-based commercial models. Experience working in high-growth, data-intensive organizations where analytics support multiple stakeholders and workflows. Experience with Salesforce, planning tools, product telemetry, and enterprise data platforms such as Snowflake or Databricks. #LI-JS1 The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. [LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652. [SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. In accordance with various US state laws, the range provided is the Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as variable compensation-based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long-term disability coverage, basic life insurance, well-being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year. Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan. The Trade Desk also offers a competitive benefits package. Click here to learn more. Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave At the Trade Desk, Base Salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is $103,200—$189,200 USD As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive. Please reach out to us at accommodations@thetradedesk.com to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process. When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.", "summaryDescription" : "Senior Systems Engineer, Commercial Intelligence and Analytics at The Trade Desk", "postedDate" : "2026-06-16T03:17:19.808", "createdAt" : "2026-06-16T03:17:19.808", "lastUpdated" : "2026-06-16T11:28:25.573", "ingestTimestamp" : "2026-06-16T03:17:19.808", "mongoId" : "6a30a1e0f292fd229c116bc7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 103200, "salaryAnnualMax" : 189200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f57f292fd229c058281", "title" : "Senior Data and Analytics Engineer", "company" : "Velir", "salary" : { "min" : 160000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:32:01.810", "fingerprint" : "94ede4f511c38a9621a1a064142cdbb189de1e740bcae1d22083fe7aee1c9284", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/velir/jobs/5262333008", "externalId" : "5262333008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Spark, Dbt, Snowflake, BigQuery, Databricks, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data engineering", "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Machine learning", "AI development" ], "hardSkillsList" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud data platforms", "level" : "intermediate" }, { "name" : "Machine learning models", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Machine learning, Business intelligence, Analytics engineering", "majorSkillsList" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering" ], "coreResponsibilities" : "Design data pipelines, Build data models, Develop ETL processes, Implement data warehousing solutions, Create business intelligence dashboards, Engineer analytics solutions, Develop and deploy machine learning models, Perform quantitative analysis, Conduct A/B testing, Apply causal inference techniques, Optimize data infrastructure, Ensure data quality and integrity, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Data science teams; Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods" ], "toolProficiency" : [ "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "qualificationsBasic" : "5+ years of experience in data engineering, Proficiency in SQL, Experience with Python", "qualificationsPreferred" : "Master's degree preferred, Experience with dbt Cloud, Experience with MLflow, Experience with Databricks, Experience with Snowflake, Experience with BigQuery, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy focused on leadership, process improvement, implementation, and advanced analytics. At Velir, we believe people are our greatest asset. Our culture is built on a foundation of trust, collaboration, and continued improvement. We strive for excellence in everything we do, embracing challenges as opportunities for growth. Our success is driven by a shared passion for making a positive impact on our customers, our communities and each other. We are a remote first company that offers competitive pay and excellent benefits. Overview The Senior Data & Analytics Engineer will play a crucial role in helping our client organizations transform raw data into reliable, well-modeled assets that drive business decisions. This hybrid role bridges data engineering and analytics engineering — combining the infrastructure-building strengths of a data engineer with the transformation, modeling, and semantic layer expertise of an analytics engineer. Core responsibilities include Data Architecture Design, Data Modeling, ELT/ETL Development, Data Quality Assurance, and Scalability Optimization, with a strong emphasis on Databricks as the primary platform. Because our clients are mostly US-based organizations, we look for the ability to communicate with professional proficiency in English, verbally and in writing. Responsibilities Data & Analytics Engineering Expertise: You are responsible for building and maintaining the infrastructure and transformation layers that support the storing, movement, and modeling of data — enabling analysts, AI agents, and business stakeholders to confidently consume, interpret and take action. You will operate across both the data engineering and analytics engineering layers of the data stack, owning pipeline development and maintenance, as well as designing and building the resultant data models. Design, build, and maintain scalable data pipelines and ELT workflows, with Databricks as the primary platform Develop and maintain dbt models that are well-documented, tested, and structured for long-term maintainability Own data modeling decisions and methodology — defining entities, relationships, and grain — in collaboration with analytics and business stakeholders Consistently seek out and deliver on engagement-level vision, tasks, and problems Regularly delivers meaningful improvements to clients' data infrastructure and analytical capabilities Autonomous in approach and provides technical guidance to less experienced engineers Cross-Team Collaboration: You are responsible for collaborating with peers and other functional departments to develop and implement data strategies that support engagement goals and client needs. Collaborate with other data engineers and analytics engineers, data analysts, and clients on end-to-end data requirements Partner with clients and functional managers to plan for data engineering and modeling needs for product or feature launches Create processes and/or documentation templates that help cross-functional teams solve common data problems Drive data solution improvements that impact the client experience or empower internal stakeholders to do their jobs effectively Take initiative to identify, communicate, and solve important problems, coordinating with others on cross-cutting technical issues Project Delivery: You are responsible for ensuring that data engineering and analytics engineering projects are delivered on time, within scope, and within budget. Architect and design data systems and transformation layers using patterns that allow for iterative delivery and future scaling Proactively identify and address technical debt with careful evaluation of development cost Optimize for predictability and a regular cadence of deliverables Keep reliability, maintainability, and scalability of client systems top of mind Ability to identify and prioritize unowned or unglamorous work that enables the broader team to move faster Skills & Qualifications Proven experience as a Data Engineer, Analytics Engineer, or in a hybrid or generalist role, with a focus on designing and developing data pipelines and transformation layers Strong programming skills in Python and SQL Hands-on, deep expertise with Databricks — including Delta Lake, Unity Catalog, and Databricks workflows Strong proficiency with dbt for data transformation, testing, and documentation Demonstrated experience in data modeling — including dimensional modeling, entity-relationship design, and semantic layer development Deep knowledge of data warehousing and ELT/ETL processes Familiarity with data integration and orchestration platforms (e.g., Fivetran, Apache Airflow, Azure Data Factory) Experience with cloud platforms such as AWS, Azure, or Google Cloud Experience with other cloud data warehouses such as Snowflake or Motherduck is a plus Experience with streaming solutions such as Spark Streaming or Kafka is desirable but not required Familiarity with MLOps techniques and platforms is a plus but not required Strong analytical and problem-solving skills Excellent communication and collaboration skills Familiarity with leveraging coding assistants such as Claude Code, CoPilot, and/or Codex is a plus Physical Requirements Frequent sitting at a desk performing work on a computer Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Compensation Range: $160,000 - 175,000 annually Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role. Core Company Values Take the Long View - Ensure the company is built to last Be Courageous - Make the right decisions even when they aren't the easiest decisions Be Genuine - Bring honesty and authenticity to all that you do Work with Focus + Passion - Display purpose and pride in your work and never stop learning As an equal opportunity employer, we are firmly committing to diversity, equity, and inclusion in our hiring efforts. We recognize that we need team members from all backgrounds and experiences to successfully shape a positive employee experience as well as deliver our product and service solutions. To that end, we actively seek candidates who can bring diverse experiences and backgrounds to our team. We know that complex factors and systemic bias can get in the way of us meeting strong candidates, so please don't hesitate to apply even if you're not 100% sure. At this time, Velir does not sponsor candidates and unfortunately cannot accept those on OPT or CPT.", "summaryDescription" : "Senior Data and Analytics Engineer at Velir. Skills: Data engineering, Machine learning, Business intelligence, Analytics engineering. Design data pipelines. Build data models", "postedDate" : "2026-06-16T01:18:38.223", "createdAt" : "2026-06-16T01:18:38.223", "lastUpdated" : "2026-06-16T10:32:01.810", "ingestTimestamp" : "2026-06-16T01:18:38.223", "mongoId" : "6a307f57f292fd229c058281", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 175000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Data modeling", "ETL development", "Data warehousing", "Quantitative analysis", "AI development", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305abef292fd229cf54ff8", "title" : "Commercial Strategy and Analytics Manager", "company" : "Datavant", "industry" : "FinTech", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Manager in Healthcare in the United States, adjusted for seniority and remote work." }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "certifications" : [ "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA" ], "timestamp" : "2026-06-16T10:08:43.558", "fingerprint" : "ae591e867672128ba2c968e9dc7e6a96f51c6d371508a188590130a04366d149", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.datavant.com/about/careers/open-roles/job?gh_jid=5247280008", "externalId" : "5247280008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceLevel" : "Manager", "technicalSkills" : "Python, R, MATLAB, SQL, Bloomberg Terminal, Reuters Eikon, FactSet, Murex, Calypso", "professionalSkills" : [ "Financial modeling", "Portfolio management", "Risk assessment", "Quantitative analysis" ], "hardSkillsList" : [ "Financial analysis", "Data analysis", "Statistical modeling" ], "hardSkills" : [ { "name" : "Financial analysis", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" } ], "majorSkills" : "Financial instruments, Risk methodologies, Regulatory frameworks", "majorSkillsList" : [ "Financial instruments", "Risk methodologies", "Regulatory frameworks" ], "coreResponsibilities" : "Analyze financial data, Develop analytical models, Monitor market trends, Assess financial risks, Ensure regulatory compliance, Prepare financial reports, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Stakeholder engagement", "domainKnowledge" : "Financial instruments; Banking; Investment management; Trading; Risk management; Compliance; Insurance; Fintech; Accounting; SOX; Basel III/IV; MiFID II; Dodd-Frank; FINRA; SEC; FCA; GDPR; AML/KYC; Equities; Fixed income; Derivatives; Options; Futures; Swaps; FX; Structured products; Private credit; VaR; CVaR; Stress testing; Monte Carlo; Factor models; Credit scoring", "domainList" : [ "financial-instruments", "banking", "investment-management", "trading", "risk-management", "compliance", "insurance", "fintech", "accounting", "sox", "basel-iii-iv", "mifid-ii", "dodd-frank", "finra", "sec", "fca", "gdpr", "aml-kyc", "equities", "fixed-income", "derivatives", "options", "futures", "swaps", "fx", "structured-products", "private-credit", "var", "cvar", "stress-testing", "monte-carlo", "factor-models", "credit-scoring" ], "domainSpecificKnowledge" : [ "Financial instruments", "Banking", "Investment management", "Trading", "Risk management", "Compliance", "Insurance", "Fintech", "Accounting", "SOX", "Basel III/IV", "MiFID II", "Dodd-Frank", "FINRA", "SEC", "FCA", "GDPR", "AML/KYC", "Equities", "Fixed income", "Derivatives", "Options", "Futures", "Swaps", "FX", "Structured products", "Private credit", "VaR", "CVaR", "Stress testing", "Monte Carlo", "Factor models", "Credit scoring" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "communicationSkills" : "Report writing; Presentation skills", "documentationSkills" : "Financial reporting; Regulatory documentation", "problemSolvingSkills" : "Analytical skills; Problem-solving", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient’s request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. By joining Datavant today, you’re stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. What We’re Looking For What You Will Do OPTIONAL: What a Typical Day Looks Like What You Need to Succeed OPTIONAL: What Helps You Stand Out What We Offer To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren’t even able to see whether you’ve responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the ‘Interview Accommodation Request’ category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.", "summaryDescription" : "Commercial Strategy and Analytics Manager at Datavant. Skills: Financial instruments, Risk methodologies, Regulatory frameworks. Analyze financial data. Develop analytical models", "postedDate" : "2026-06-15T23:22:22.690", "createdAt" : "2026-06-15T23:22:22.690", "lastUpdated" : "2026-06-16T10:08:43.558", "ingestTimestamp" : "2026-06-15T23:22:22.690", "mongoId" : "6a305abef292fd229cf54ff8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Financial analysis", "Data analysis", "Statistical modeling", "Financial instruments", "Risk methodologies", "Regulatory frameworks", "Financial modeling", "Portfolio management", "Risk assessment", "Quantitative analysis", "Banking", "Investment management", "Trading", "Risk management", "Compliance", "Insurance", "Fintech", "Accounting", "SOX", "Basel III/IV", "MiFID II", "Dodd-Frank", "FINRA", "SEC", "FCA", "GDPR", "AML/KYC", "Equities", "Fixed income", "Derivatives", "Options", "Futures", "Swaps", "FX", "Structured products", "Private credit", "VaR", "CVaR", "Stress testing", "Monte Carlo", "Factor models", "Credit scoring", "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA", "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "skillCount" : 55, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305abef292fd229cf54ff9", "title" : "Commercial Strategy and Analytics Manager", "company" : "Datavant", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the Healthcare industry in the United States, adjusted for seniority and company size." }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "timestamp" : "2026-06-16T08:30:37.574", "fingerprint" : "35bff4604600380506ad472704ca6695e1cda3711a8c2e1bbb9ad61fb38f258e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.datavant.com/about/careers/open-roles/job?gh_jid=5247278008", "externalId" : "5247278008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceLevel" : "Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient’s request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. By joining Datavant today, you’re stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. What We’re Looking For: As the Commercial Strategy and Analytics Manager at Datavant, you will play a crucial role within our Commercial Operations team. Your primary responsibility will be to support the transformation of the commercial organization through customer segmentation, go to market models design, sales strategy, and customer analytics. Your role requires a strong technical background, excellent analytical skills, and the ability to collaborate effectively in a fast-paced environment. What You Will Do: Drive commercial strategy through: Commercial analytics, executive reporting, and market insights that identify growth opportunities, client trends, and areas of strategic focus Building scalable dashboards, performance metrics, and account intelligence frameworks that support commercial decision-making across Client Success and cross-functional stakeholders Analyzing and synthesizing market, client, adoption, and revenue data to deliver actionable insights and forward-looking business recommendations Conducting market sizing, segmentation, whitespace, and competitive analysis to support strategic planning and prioritization Help refine and scale commercial operations by: Partnering cross-functionally with Client Success, Sales, Finance, Product, Business Intelligence, and Data teams to improve alignment across forecasting, planning, and commercial priorities Designing and operationalizing standardized reporting, analytics frameworks, and planning methodologies that improve consistency and scalability across teams Driving adoption and enablement of dashboards, tools, and analytics capabilities to improve visibility, decision-making, and execution Continuously improving reporting workflows, data quality, and insight delivery processes to support operational efficiency and business impact Improve commercial planning and business performance by: Supporting forecasting and demand planning processes through accurate, insight-driven analytics and standardized inputs Monitoring commercial performance trends, client engagement signals, and revenue pacing to proactively identify risks and opportunities Developing methodologies and tracking mechanisms that measure business performance, account health, and strategic progress Translating analytics into clear recommendations and action plans that support client growth, commercial performance, and operational priorities What You Need to Succeed: Bachelor’s degree in Business, Analytics, Information Technology, Economics, Engineering, or a related field; 15 years of equivalent experience will be considered in lieu of Bachelor’s degree Minimum of 7 years of experience in commercial strategy, business intelligence, revenue operations, analytics, management consulting, or a related role Experience supporting commercial planning, forecasting, account strategy, client success operations, and/or revenue performance initiatives Strong analytical skills with experience interpreting commercial, client, operational, and financial data to drive business decisions and strategic recommendations Experience developing dashboards, reporting frameworks, and performance metrics that support executive decision-making Proven ability to synthesize complex data into clear insights, action plans, and business recommendations Strong understanding of forecasting methodologies, commercial performance tracking, and operational planning processes Experience partnering cross-functionally with proven ability to influence stakeholders and drive alignment across teams in a fast-paced environment Strong project management, communication, and execution skills with the ability to manage multiple high-priority initiatives simultaneously Experience improving operational processes, reporting workflows, and analytics adoption across organizations What Helps You Stand Out: Master’s Degree in relevant field We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $120,000—$140,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren’t even able to see whether you’ve responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the ‘Interview Accommodation Request’ category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.", "summaryDescription" : "Commercial Strategy and Analytics Manager at Datavant", "postedDate" : "2026-06-15T23:23:23.617", "createdAt" : "2026-06-15T23:23:23.617", "lastUpdated" : "2026-06-16T08:30:37.574", "ingestTimestamp" : "2026-06-15T23:23:23.617", "mongoId" : "6a305abef292fd229cf54ff9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305750f292fd229cf37c37", "title" : "Senior Business Intelligence Analyst – Product Analytics", "company" : "ZoomInfo Technologies LLC", "industry" : "Technology", "salary" : { "min" : 85000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Business Intelligence Analyst in Bulgaria, adjusted for the SaaS industry and remote work." }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T07:46:55.942", "fingerprint" : "5f805319f5556283dd8f227f06ff5eddef1b3cfa6b34cf8b1616ae9d9b91e93d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.zoominfo.com/careers?gh_jid=8561605002", "externalId" : "8561605002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Product analytics", "Business intelligence", "Data engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkillsList" : [ "Data modeling", "Statistical analysis", "Machine learning", "Data warehousing", "ETL processes", "Data visualization", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Product analytics, Business intelligence, Data science, Data engineering", "majorSkillsList" : [ "Product analytics", "Business intelligence", "Data science", "Data engineering" ], "coreResponsibilities" : "Develop and maintain BI dashboards, Build and optimize data pipelines, Perform complex data analysis, Collaborate with product managers, Identify key product metrics, Drive data-informed product decisions, Communicate findings to stakeholders, Develop and implement A/B tests", "teamCollaboration" : "Cross-functional teams; Product managers; Engineering teams; Stakeholders", "domainKnowledge" : "Product analytics; Data science; Data engineering; Machine learning; Business intelligence; Cloud data platforms; Statistical modeling", "domainList" : [ "product-analytics", "data-science", "data-engineering", "machine-learning", "business-intelligence", "cloud-data-platforms", "statistical-modeling" ], "domainSpecificKnowledge" : [ "Product analytics", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Cloud data platforms", "Statistical modeling" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "communicationSkills" : "Stakeholder communication; Data storytelling", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Analytical skills; Problem-solving", "outcomesObjectives" : "Drive data-informed product decisions; Identify key product metrics", "qualificationsBasic" : "SQL proficiency, 5+ years of experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast. Overview We are seeking a Senior Business Intelligence Analyst to help drive product strategy and execution through analytics, measurement, and actionable insights across Product, Product Leadership, and Engineering. This role is responsible for transforming complex product and business questions into actionable insights, scalable measurement approaches, and trusted analytics that influence product outcomes and business performance. This role focuses on product analytics, customer behavior, product performance, and business outcomes. The successful candidate will help Product and Engineering teams understand what is happening, why it is happening, and what actions should be taken next. The ideal candidate combines strong analytical skills, product thinking, business acumen, intellectual curiosity, and a bias toward action. They are comfortable navigating evolving business needs, quickly learning new domains, and applying data to solve complex product and customer challenges. They will independently own analytics initiatives from problem definition through recommendation while helping evolve how analytics supports Product and Engineering organizations. You will operate with a high degree of autonomy and influence, partnering closely with Product Managers, Product Leadership, Engineering, Data Engineering, and Business Intelligence teams to ensure product investments are measurable, impactful, and aligned with business objectives. What You'll Do Product Analytics Ownership • Partner with Product Managers and Engineering leaders to understand customer workflows, product experiences, user behaviors, and business objectives, using data to drive product strategy and decision-making. • Develop a deep understanding of customer workflows, product experiences, and user behaviors to identify opportunities for improved adoption, engagement, retention, and value realization. • Define success metrics and measurement plans for product launches, features, and strategic initiatives. • Develop and refine KPIs and measurement frameworks that align teams around product and business performance. • Partner with Product and Engineering teams to define event tracking requirements and ensure product telemetry supports meaningful measurement and analysis. • Quantify opportunity size and help Product teams prioritize investments based on expected customer value, business impact, and strategic objectives. • Support product teams throughout the product lifecycle, from opportunity identification and prioritization through launch and post-release evaluation. Analytics Execution & Insight Generation • Conduct deep-dive analyses to identify trends, opportunities, risks, and root causes. • Translate complex business questions into actionable insights and recommendations. • Design, analyze, and communicate results from experiments, feature launches, and product initiatives, evaluating customer and business impact. • Identify and quantify opportunities to improve product experiences, customer engagement, retention, and business outcomes through data-driven analysis. • Evaluate tradeoffs between competing product investments and provide analytical recommendations that support roadmap prioritization. Stakeholder Partnership & Data Storytelling • Act as a trusted analytics partner to Product, Engineering, and Leadership teams. • Present analytical findings and recommendations through clear narratives and effective visualizations. • Influence prioritization and strategic decisions through evidence-based insights. • Communicate complex analytical concepts to both technical and non-technical audiences. Analytics Excellence & Innovation • Partner with Data Engineering and Analytics teams to improve data quality, instrumentation, and accessibility. • Leverage modern analytics and AI-powered tools to accelerate analysis and improve team efficiency. • Contribute to scalable analytics best practices, governance, and continuous improvement across the organization. About You • You think beyond dashboards and reporting, focusing on the business decisions, customer behaviors, and product outcomes behind the data. • You bring strong product and analytical instincts, using customer behavior, product usage patterns, and business outcomes to guide recommendations and influence product decisions. • You are naturally curious, comfortable navigating ambiguity, and able to bring structure and clarity to evolving challenges. • You can move seamlessly between technical analysis, stakeholder discussions, and executive communication. • You operate independently, take ownership of outcomes, and effectively influence stakeholders through sound judgment and analytical rigor. What You Bring • 5+ years of experience in Business Intelligence, Product Analytics, Growth Analytics, or related analytical roles within B2B SaaS or technology organizations. • Demonstrated experience influencing product, business, or operational decisions through analytical insights and recommendations. • Strong SQL skills and experience working with large-scale datasets. Experience with Python or other analytical programming languages is a plus. • Experience partnering with cross-functional teams, including Product Management, Engineering, and Business stakeholders. • Proven ability to define KPIs, build measurement frameworks, and translate complex business questions into actionable analysis and recommendations. • Experience analyzing product adoption, customer behavior, engagement, retention, experimentation, or product performance. • Strong communication and data storytelling skills, with the ability to tailor insights to technical and executive audiences. • Demonstrated experience leveraging AI-powered tools and LLMs to accelerate analytical workflows, automate repetitive tasks, improve research efficiency, enhance data exploration, and generate actionable insights. Success in This Role Means • Product teams consistently use your analyses and recommendations to improve product experiences, customer outcomes, and business performance. • Product teams use your analyses to prioritize roadmap investments, evaluate tradeoffs, and make more informed product decisions. • Product and business metrics are trusted, accurate, clearly defined, and consistently applied across the organization. • Complex product and business questions are translated into clear analytical approaches that drive meaningful action and measurable outcomes. • Product opportunities, launches, and strategic initiatives are supported by clear measurement frameworks and well-defined success criteria. • Product launches, experiments, and strategic initiatives have measurable business impact. • Product decisions are increasingly informed by customer behavior, product usage patterns, and business performance insights. • ZoomInfo gains a deeper understanding of customer behavior, product adoption, engagement, and business performance through your work. Equal Employment Opportunity (EEO) Statement Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor. Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $112,840—$177,320 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements. For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.", "summaryDescription" : "Senior Business Intelligence Analyst – Product Analytics at ZoomInfo Technologies LLC. Skills: Product analytics, Business intelligence, Data science, Data engineering. Develop and maintain BI dashboards. Build and optimize data pipelines", "postedDate" : "2026-06-15T23:23:13.490", "createdAt" : "2026-06-15T23:23:13.490", "lastUpdated" : "2026-06-16T07:46:55.942", "ingestTimestamp" : "2026-06-15T23:23:13.490", "mongoId" : "6a305750f292fd229cf37c37", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Data warehousing", "ETL processes", "Data visualization", "A/B testing", "Causal inference", "Product analytics", "Business intelligence", "Data science", "Data engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Cloud data platforms", "Statistical modeling", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cc34174d8ee00a0a08d68", "title" : "Senior Analyst, Commercial & Analytics", "company" : "Angi", "industry" : "Marketing", "salary" : { "min" : 68000.0, "max" : 90000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hybrid - Germany - Berlin", "locations" : [ "Hybrid - Germany - Berlin" ], "timestamp" : "2026-06-15T22:14:04.207", "fingerprint" : "7021ad2de92cd7693a1344b3b42bf46c52370386ad76131cf41ae8d9aa03c1a1", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/angi/2c49cb41-7942-41b5-974c-24bde39e221f/application", "externalId" : "2c49cb41-7942-41b5-974c-24bde39e221f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.5173885,13.3951309" } ], "locationText" : "Berlin, Germany", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Tableau, Looker, BigQuery", "professionalSkills" : [ "Marketplace strategy", "Pricing strategy", "Promotional strategy", "Quantitative analysis", "Strategic analysis", "Business acumen" ], "hardSkillsList" : [ "Data analysis", "Reporting", "A/B testing", "Process improvement", "Analytical capabilities" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" }, { "name" : "Analytical capabilities", "level" : "intermediate" } ], "majorSkills" : "Commercial strategy, Marketplace analytics, Data insights", "majorSkillsList" : [ "Commercial strategy", "Marketplace analytics", "Data insights" ], "coreResponsibilities" : "Analyze large datasets, Identify trends, Identify patterns, Identify insights, Develop strategic initiatives, Implement strategic initiatives, Develop reports, Maintain reports, Develop dashboards, Maintain dashboards, Develop visualizations, Maintain visualizations, Formulate A/B test frameworks, Identify process improvements, Implement process improvements, Leverage advanced analytical tools, Leverage AI tools, Optimize workflows, Develop recommendations, Deliver recommendations", "teamCollaboration" : "Broader marketing teams; Cross-functional teams; Sales teams; Marketing teams; Finance teams; Operations teams", "projectManagementSkills" : [ "Strategy development", "Project execution" ], "domainKnowledge" : "Two-sided marketplace; Commercial topics; Pricing trends", "domainList" : [ "two-sided-marketplace", "commercial-topics", "pricing-trends" ], "domainSpecificKnowledge" : [ "Two-sided marketplace", "Commercial topics", "Pricing trends" ], "toolProficiency" : [ "Tableau", "Looker", "BigQuery", "SQL" ], "communicationSkills" : "Actionable recommendations; Data-driven insights", "continuousLearning" : "Industry best practices; Emerging pricing trends; Technological advancements", "problemSolvingSkills" : "Interpreting data; Generating qualitative feedback; Evaluating metrics", "outcomesObjectives" : "Optimize customer value; Drive revenue growth; Drive LTV growth; Market expansion; Guide marketplace health", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. Angi at a glance: - Founded in 1995 as Angie’s List and rebranded in 2021 - Global company with 9 brands in 8 countries and employees worldwide - Homeowners have turned to us for 300 million home projects and counting About the team: We are seeking a Senior Analyst for our Commercial & Analytics team to drive strategic marketplace, pricing, and promotional decisions that optimize customer value. This team manages marketplace strategy across all brands, focusing on revenue growth and balance. You will lead marketplace initiatives and promotional strategies, partnering across the organization to ensure successful execution through quantitative and strategic analysis. This role reports into the Associate Director, Strategic Analytics and can be based out of any of our 4 office locations: Aix-en-Provence, Amsterdam, Berlin and London. What you’ll do: - Analyze large datasets to identify trends, patterns, and insights that inform business decisions. - Collaborate with broader marketing teams to develop and implement strategic initiatives that drive revenue/LTV growth and market expansion. - Develop and maintain comprehensive reports, dashboards, and visualizations to track key performance indicators (KPIs) that guide marketplace health. - Formulate A/B test frameworks to discern the impact of adjustments/new initiatives on marketplace & other business metrics. - Identify and implement process improvements to enhance data accuracy, reporting efficiency, and overall analytical capabilities. - Leverage advanced analytical tools and AI tools to optimize workflows. - Work closely with cross-functional teams including Sales, Marketing, Finance, and Operations to ensure alignment of commercial strategies with overall business objectives. - Develop and deliver clear, actionable recommendations to senior leadership, accompanied by data-driven insights and rationale. - Stay informed about industry best practices, emerging pricing trends, and technological advancements to continuously improve marketplace growth. Who you are: - 6+ years of professional experience as an analyst/senior analyst, preferably in a two-sided marketplace. - Bachelor's or Master’s degree in Business or a related field, with a strong analytical background. - Demonstrated capability to influence stakeholders and manage projects from strategy development through to successful execution. - Proficiency in data analysis & reporting tools (e.g.Tableau, Looker, and BigQuery/SQL, among others). - Comfortable utilizing AI tools to improve efficiencies and integrate their usage in daily work - Strong analytical skills and good at interpreting data, generating qualitative feedback and evaluating metrics to inform decision-making. - Good business acumen with a strong understanding of commercial topics. - Exceptional organizational skills, capable of managing multiple projects in a fast-paced environment. - Experience in campaign management in a customer centric environment is a plus. - Fluent in English, with strong verbal and written communication skills. Compensation & Benefits: - The salary band for this position ranges from €68,000 - €90,000, commensurate with experience and qualifications. - Hybrid work environment and home office set-up allowance - Temporary work from abroad policy - Regular team and social events", "summaryDescription" : "Senior Analyst, Commercial & Analytics at Angi. Skills: Commercial strategy, Marketplace analytics, Data insights. Analyze large datasets. Identify trends", "createdAt" : "2026-06-14T18:50:03.168", "lastUpdated" : "2026-06-15T22:14:04.207", "ingestTimestamp" : "2026-06-14T18:50:03.168", "mongoId" : "6a2cc34174d8ee00a0a08d68", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Reporting", "A/B testing", "Process improvement", "Analytical capabilities", "Commercial strategy", "Marketplace analytics", "Data insights", "Marketplace strategy", "Pricing strategy", "Promotional strategy", "Quantitative analysis", "Strategic analysis", "Business acumen", "Strategy development", "Project execution", "Two-sided marketplace", "Commercial topics", "Pricing trends", "Tableau", "Looker", "BigQuery", "SQL" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305739f292fd229cf35ec2", "title" : "Senior Demand & Supply Planner, Intelligence Systems", "company" : "Anduril Industries", "industry" : "Technology", "salary" : { "min" : 155000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Demand & Supply Planner in Costa Mesa, CA, adjusted for the defense technology industry and company size." }, "location" : "Costa Mesa, California, United States", "locations" : [ "Costa Mesa", "California", "United States" ], "timestamp" : "2026-06-16T08:20:25.561", "fingerprint" : "ec2f870b72f0eb5a55e2cb5179e200fc2ce086d3ff21d2fac61e6767c3f16dcd", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/andurilindustries/jobs/5165234007?gh_jid=5165234007", "externalId" : "5165234007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Costa Mesa", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6633386,-117.9033170" } ], "locationText" : "Costa Mesa, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "rawDescription" : "Anduril Industries is a defense technology company with a mission to transform U. S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE JOB Anduril’s Planning team is seeking a world-class Senior Demand and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.", "summaryDescription" : "Senior Demand & Supply Planner, Intelligence Systems at Anduril Industries", "postedDate" : "2026-06-15T23:22:47.932", "createdAt" : "2026-06-15T23:22:47.932", "lastUpdated" : "2026-06-16T08:20:25.561", "ingestTimestamp" : "2026-06-15T23:22:47.932", "mongoId" : "6a305739f292fd229cf35ec2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 215000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Defense Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307ca6f292fd229c04a86d", "title" : "Data & Analytics Engineer - Finance Systems", "company" : "Louis Dreyfus Company", "industry" : "International Trade And Development", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "BGN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data & Analytics Engineer in Sofia, Bulgaria, adjusted for the Food & Beverage industry." }, "location" : "Sofia, Sofia City Province, BG", "locations" : [ "Sofia", "Sofia City Province", "BG" ], "timestamp" : "2026-06-16T12:13:23.084", "fingerprint" : "e331d39ec65b1fbb6494fbf5e7efa5a566b895a1b264e95bc023f677800c3e49", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LouisDreyfusCompany/744000132168929-data-analytics-engineer-finance-systems-", "externalId" : "744000132168929", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sofia", "state" : "Sofia City Province", "country" : "Bulgaria", "continent" : "eu", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Sofia, Sofia City Province, Bulgaria", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "technicalSkills" : "SQL, Python, ETL, Data warehousing, Cloud platforms, Data modeling, Data visualization, Big data technologies, Machine learning frameworks", "professionalSkills" : [ "System design", "Data architecture" ], "hardSkillsList" : [ "ETL processes", "Data warehousing", "Data modeling", "Data visualization", "Big data technologies", "Machine learning frameworks" ], "hardSkills" : [ { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Big data technologies", "level" : "intermediate" }, { "name" : "Machine learning frameworks", "level" : "intermediate" } ], "majorSkills" : "Data engineering, ETL, Data warehousing, Cloud platforms", "majorSkillsList" : [ "Data engineering", "ETL", "Data warehousing", "Cloud platforms" ], "coreResponsibilities" : "Design and implement ETL processes, Build and maintain data warehouses, Develop data models, Create data visualizations, Optimize data pipelines, Collaborate with stakeholders, Ensure data quality, Support data-driven decision making", "teamCollaboration" : "Cross-functional teams; Business stakeholders", "domainKnowledge" : "Finance systems", "domainList" : [ "finance-systems" ], "domainSpecificKnowledge" : [ "Finance systems" ], "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "qualificationsBasic" : "5+ years of experience in data engineering, Experience with ETL processes, Experience with data warehousing, Experience with cloud platforms, Experience with SQL, Experience with Python", "qualificationsPreferred" : "Experience with data modeling, Experience with data visualization tools, Experience with big data technologies, Experience with machine learning frameworks", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Louis Dreyfus Company is a leading merchant and processor of agricultural goods. Our activities span the entire value chain from farm to fork, across a broad range of business lines, we leverage our global reach and extensive asset network to serve our customers and consumers around the world. Structured as a matrix organization of six geographical regions and ten platforms, Louis Dreyfus Company is active in over 100 countries and employs approximately 18,000 people globally. This role will have an impactful contribution to supporting and enhancing Louis Dreyfus Company's OneStream Enterprise Performance Management (EPM) platform, contributing to the delivery of accurate, reliable, and scalable financial planning, reporting, and performance management processes. Partnering with Finance, Data & Analytics teams, Business Process Owners, and external implementation partners, you will develop expertise in Enterprise Performance Management technologies while contributing to platform performance, data quality, governance, and operational stability. Brief: Support LDC’s OneStream-based Enterprise Performance Management platform from Sofia as a core technical engineer, delivering deep configuration, performance optimization, rule development, troubleshooting, and technical platform stability. This role contributes directly to building the Enterprise Performance Management Center of Excellence , enabling scalable operations, technical autonomy, and long‑term value creation across Daily P&L, Actuals, Forecasting, Group Reporting and future Enterprise performance management roadmap components. The resource will join at a key moment (platform ramp‑up and CoE build), work closely with experienced internal and external experts, and quickly take ownership of meaningful technical components that directly impact Finance performance and operational efficiency. Main Responsibilities: * Develop and enhance business rules, calculations, workflows, and data transformation processes. * Support financial reporting, forecasting, planning, and performance management solutions. * Troubleshoot platform issues and investigate data quality or integration challenges. * Work with Finance teams to understand business requirements and translate them into technical solutions. * Optimize system performance and improve reliability of financial processes. * Participate in testing, releases, and deployments across development and production environments. * Create technical documentation, support guides, and reusable development standards. * Collaborate with global stakeholders, implementation partners, and internal technology teams. * Contribute to the growth of the Enterprise Performance Management Center of Excellence and help build future best practices. What Makes This Opportunity Different * Join a newly established Center of Excellence and help shape its future. * Gain expertise in a highly specialized and sought-after technology domain. * Work directly with international Finance and Data teams. * Receive mentorship from experienced OneStream consultants and platform experts. * Exposure to large-scale global financial processes and enterprise systems. * Opportunity to grow into senior engineering, architecture, or product ownership roles. ## Qualifications What We're Looking For Education * Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, Mathematics, Economics, Finance Technology, or a related field. Experience * Еxperience in Software Development, Data Engineering, Business Intelligence, ERP Systems, Financial Systems, or similar technical roles. * Internship experience is welcomed. * Experience with OneStream, SAP, Oracle, NetSuite, Power BI, Tableau, ETL tools, or similar platforms is considered an advantage but is not required. Technical Skills We are looking for strong technical potential rather than specific platform expertise. Examples of relevant skills include: * SQL and database fundamentals. * Programming experience with Python, C#, Java, VB.NET, or similar languages. * Understanding of data integration and data transformation concepts. * Interest in analytics, reporting, and financial systems. * Familiarity with Git, Azure DevOps, or software delivery processes is a plus. Personal Qualities * Analytical mindset and strong problem-solving skills. * Curiosity and willingness to learn new technologies. * Strong communication and collaboration skills. * Ownership and attention to detail. * Ability to work effectively in a global and multicultural environment. Nice-to-Have Skills * Exposure to cloud technologies, automation, or APIs. * Knowledge of Power BI, data visualization, or reporting tools. * Interest in Python-based analytics, machine learning, or process automation. * Understanding of financial processes such as reporting, budgeting, forecasting, or consolidation. ## Additional Information Diversity & Inclusion LDC is driven by a set of shared values and high ethical standards, with diversity and inclusion being part of our DNA. LDC is an equal opportunity employer committed to providing a working environment that embraces and values diversity, equity and inclusion. LDC encourages diversity, supports local communities and environmental initiatives. We encourage people of all backgrounds to apply. Sustainability Sustainable value is at the heart of our purpose as a company. We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us What We Offer We provide a dynamic and stimulating international environment, which will stretch and develop your abilities and channel your skills and expertise with outstanding career development opportunities in one of the largest and most solid private companies in the world. Our Benefits * 25 annual paid leave * Flexible working hours * Food vouchers * Transportation allowance * Additional medical & dental insurance * Life insurance * Sports card with 90/10 coverage * Various learning & development opportunities * Yearly performance evaluation plans * Social clubs & Wellbeing initiatives * Team buildings & social events * Employee Referral Program", "summaryDescription" : "Data & Analytics Engineer - Finance Systems at Louis Dreyfus Company. Skills: Data engineering, ETL, Data warehousing, Cloud platforms. Design and implement ETL processes. Build and maintain data warehouses", "postedDate" : "2026-06-15T10:48:19.000", "createdAt" : "2026-06-16T01:38:01.559", "lastUpdated" : "2026-06-16T12:13:23.084", "ingestTimestamp" : "2026-06-16T01:38:01.559", "mongoId" : "6a307ca6f292fd229c04a86d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "ETL processes", "Data warehousing", "Data modeling", "Data visualization", "Big data technologies", "Machine learning frameworks", "Data engineering", "ETL", "Cloud platforms", "System design", "Data architecture", "Finance systems" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3064c8f292fd229cfa2ebf", "title" : "Data & Analytics Engineer - Finance Systems", "company" : "Louis Dreyfus Company", "industry" : "International Trade And Development", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "BGN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data & Analytics Engineer in Sofia, Bulgaria, adjusted for the Food & Beverage industry." }, "location" : "Sofia, Sofia City Province, BG", "locations" : [ "Sofia", "Sofia City Province", "BG" ], "timestamp" : "2026-06-16T11:19:35.670", "fingerprint" : "d93d2ee22ef402e02b9047b64aba8da20b4c95d6db4065c13d27bf1c9f072d8d", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LouisDreyfusCompany/744000132168929-data-analytics-engineer-finance-systems-", "externalId" : "744000132168929", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sofia", "state" : "Sofia City Province", "country" : "Bulgaria", "continent" : "eu", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Sofia, Sofia City Province, Bulgaria", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "technicalSkills" : "Python, Java, SQL, NoSQL, AWS, Azure, GCP, ETL, ELT, Spark, Hadoop, Data Warehousing", "professionalSkills" : [ "System design", "Data modeling", "Problem solving" ], "hardSkillsList" : [ "Data pipeline development", "Database management", "Cloud infrastructure management" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud infrastructure management", "level" : "intermediate" } ], "majorSkills" : "Data Engineering, Cloud Platforms, ETL/ELT", "majorSkillsList" : [ "Data Engineering", "Cloud Platforms", "ETL/ELT" ], "coreResponsibilities" : "Design, build, and maintain scalable data pipelines, Develop and optimize ETL/ELT processes, Manage and maintain data warehousing solutions, Ensure data quality and integrity, Collaborate with data scientists and analysts, Implement data security and governance best practices, Monitor and troubleshoot data infrastructure, Stay up-to-date with emerging data technologies", "teamCollaboration" : "Cross-functional teams; Data scientists; Data analysts", "projectManagementSkills" : [ "Agile methodologies" ], "toolProficiency" : [ "SQL", "NoSQL", "Python", "Java", "AWS", "Azure", "GCP", "Spark", "Hadoop" ], "documentationSkills" : "Data documentation", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "qualificationsBasic" : "5+ years of experience in data engineering, Experience with cloud platforms (AWS, Azure, GCP), Experience with data warehousing solutions, Experience with ETL/ELT processes, Experience with SQL and NoSQL databases, Experience with programming languages like Python or Java, Bachelor's degree in Computer Science or related field", "qualificationsPreferred" : "Master's degree in Computer Science or related field, Experience with big data technologies (Spark, Hadoop), Experience with data visualization tools, Experience with CI/CD pipelines, Experience with Agile methodologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Louis Dreyfus Company is a leading merchant and processor of agricultural goods. Our activities span the entire value chain from farm to fork, across a broad range of business lines, we leverage our global reach and extensive asset network to serve our customers and consumers around the world. Structured as a matrix organization of six geographical regions and ten platforms, Louis Dreyfus Company is active in over 100 countries and employs approximately 18,000 people globally. This role will have an impactful contribution to supporting and enhancing Louis Dreyfus Company's OneStream Enterprise Performance Management (EPM) platform, contributing to the delivery of accurate, reliable, and scalable financial planning, reporting, and performance management processes. Partnering with Finance, Data & Analytics teams, Business Process Owners, and external implementation partners, you will develop expertise in Enterprise Performance Management technologies while contributing to platform performance, data quality, governance, and operational stability. Brief: Support LDC’s OneStream-based Enterprise Performance Management platform from Sofia as a core technical engineer, delivering deep configuration, performance optimization, rule development, troubleshooting, and technical platform stability. This role contributes directly to building the Enterprise Performance Management Center of Excellence , enabling scalable operations, technical autonomy, and long‑term value creation across Daily P&L, Actuals, Forecasting, Group Reporting and future Enterprise performance management roadmap components. The resource will join at a key moment (platform ramp‑up and CoE build), work closely with experienced internal and external experts, and quickly take ownership of meaningful technical components that directly impact Finance performance and operational efficiency. Main Responsibilities: * Develop and enhance business rules, calculations, workflows, and data transformation processes. * Support financial reporting, forecasting, planning, and performance management solutions. * Troubleshoot platform issues and investigate data quality or integration challenges. * Work with Finance teams to understand business requirements and translate them into technical solutions. * Optimize system performance and improve reliability of financial processes. * Participate in testing, releases, and deployments across development and production environments. * Create technical documentation, support guides, and reusable development standards. * Collaborate with global stakeholders, implementation partners, and internal technology teams. * Contribute to the growth of the Enterprise Performance Management Center of Excellence and help build future best practices. What Makes This Opportunity Different * Join a newly established Center of Excellence and help shape its future. * Gain expertise in a highly specialized and sought-after technology domain. * Work directly with international Finance and Data teams. * Receive mentorship from experienced OneStream consultants and platform experts. * Exposure to large-scale global financial processes and enterprise systems. * Opportunity to grow into senior engineering, architecture, or product ownership roles. ## Qualifications What We're Looking For Education * Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, Mathematics, Economics, Finance Technology, or a related field. Experience * Еxperience in Software Development, Data Engineering, Business Intelligence, ERP Systems, Financial Systems, or similar technical roles. * Internship experience is welcomed. * Experience with OneStream, SAP, Oracle, NetSuite, Power BI, Tableau, ETL tools, or similar platforms is considered an advantage but is not required. Technical Skills We are looking for strong technical potential rather than specific platform expertise. Examples of relevant skills include: * SQL and database fundamentals. * Programming experience with Python, C#, Java, VB.NET, or similar languages. * Understanding of data integration and data transformation concepts. * Interest in analytics, reporting, and financial systems. * Familiarity with Git, Azure DevOps, or software delivery processes is a plus. Personal Qualities * Analytical mindset and strong problem-solving skills. * Curiosity and willingness to learn new technologies. * Strong communication and collaboration skills. * Ownership and attention to detail. * Ability to work effectively in a global and multicultural environment. Nice-to-Have Skills * Exposure to cloud technologies, automation, or APIs. * Knowledge of Power BI, data visualization, or reporting tools. * Interest in Python-based analytics, machine learning, or process automation. * Understanding of financial processes such as reporting, budgeting, forecasting, or consolidation. ## Additional Information Diversity & Inclusion LDC is driven by a set of shared values and high ethical standards, with diversity and inclusion being part of our DNA. LDC is an equal opportunity employer committed to providing a working environment that embraces and values diversity, equity and inclusion. LDC encourages diversity, supports local communities and environmental initiatives. We encourage people of all backgrounds to apply. Sustainability Sustainable value is at the heart of our purpose as a company. We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us What We Offer We provide a dynamic and stimulating international environment, which will stretch and develop your abilities and channel your skills and expertise with outstanding career development opportunities in one of the largest and most solid private companies in the world. Our Benefits * 25 annual paid leave * Flexible working hours * Food vouchers * Transportation allowance * Additional medical & dental insurance * Life insurance * Sports card with 90/10 coverage * Various learning & development opportunities * Yearly performance evaluation plans * Social clubs & Wellbeing initiatives * Team buildings & social events * Employee Referral Program", "summaryDescription" : "Data & Analytics Engineer - Finance Systems at Louis Dreyfus Company. Skills: Data Engineering, Cloud Platforms, ETL/ELT. Design, build, and maintain scalable data pipelines. Develop and optimize ETL/ELT processes", "postedDate" : "2026-06-15T10:48:19.000", "createdAt" : "2026-06-15T23:50:15.822", "lastUpdated" : "2026-06-16T11:19:35.670", "ingestTimestamp" : "2026-06-15T23:50:15.822", "mongoId" : "6a3064c8f292fd229cfa2ebf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data pipeline development", "Database management", "Cloud infrastructure management", "Data Engineering", "Cloud Platforms", "ETL/ELT", "System design", "Data modeling", "Problem solving", "Agile methodologies", "SQL", "NoSQL", "Python", "Java", "AWS", "Azure", "GCP", "Spark", "Hadoop" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307032f292fd229cff1d59", "title" : "Senior Systems Engineer", "company" : "BlackSky", "salary" : { "min" : 125000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Tukwila 2+ days in office", "locations" : [ "Tukwila 2+ days in office" ], "timestamp" : "2026-06-16T09:36:53.342", "fingerprint" : "d450e9745d43fbc30723000026f0f30797203ea932af716cf7baa8f9f55719b6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/blacksky/jobs/8584450002?gh_jid=8584450002", "externalId" : "8584450002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tukwila", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "47.4627356,-122.2559156" } ], "locationText" : "Tukwila, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Senior Systems Engineer About Us: BlackSky is a real-time intelligence company. We own and operate the world's most advanced space-based intelligence platform and provide customers satellite imagery, automated analytics and high-frequency monitoring of strategic locations, economic assets and events from around the globe. BlackSky is trusted by the most demanding allied military and intelligence organizations and commercial companies to deliver foresight into critical matters that affect national security and the economy. BlackSky's data enables governments and businesses to see, understand and anticipate change as it happens, giving them the ultimate strategic advantage so they can act quickly. Our global team works with cutting-edge technology to make a difference around the world and prides itself on being people-first, customer-focused and fun. BlackSky is seeking a proven spacecraft systems engineer to provide a key role in the definition, verification, delivery, and assembly of our industry-defining spacecraft. Systems Engineers at BlackSky are involved throughout the engineering lifecycle, from creating and understanding mission needs through design, integration, test, and ultimately the operation of spacecraft in orbit. You’ll collaborate daily with a diverse set of team members – mechanical, electrical, software, and test engineers, operators, and program managers - to be successful in your role. You will work in our Tukwila, WA office with a hybrid on-site schedule with significant flexibility for part-time remote work and report to the Program Chief Engineer. Responsibilities: Define and decompose system CONOPS into Space vehicle, subsystem and component requirements. Perform subsystem and system analyses aimed at driving design definition and verification. Organize, lead, conduct, and document trade studies. Develop system, subsystem, and component verification and test plans. Analyze lab, production, and on-orbit test data. Lead and participate in anomaly and failure investigations. Automate recurring analysis and verification activities. Derive software requirement and user stories from CONOPS and specifications. Communicate technical information (analysis results, finding, trades) to peers, the Program Chief Engineer, program management, and customers. Define, track, and manage key performance parameters (KPPs), key performance indicators (KPIs), and technical performance measures. Other job-related duties as assigned. Required Qualifications: Bachelor of Science in Engineering (Aerospace, Systems, Computer Science, or Electrical preferred). Minimum of five years of experience in the Aerospace or Defense Industry. Strong understanding of spacecraft system and subsystem behaviors and dependencies. Demonstrated technical breadth across spacecraft subsystems. Ability to produce satellite budgets and analyses (power, mass, reliability, etc.). Experience with requirements management tools and practices. Previous experience with MATLAB and python or other similar tools for data analysis. Experience developing systems engineering artifacts: Interface Control Documents, Internal block diagrams, activity diagrams, sequence diagrams, state machines, etc. Strong sense of ownership and innate sense of urgency. Preferred Qualifications: Demonstrated technical depth in at least one spacecraft subsystem or payload. Experience with Model Based Systems Engineering (MBSE) tools and SysML. Previous experience with STK. Experience with requirements tracking tools (e. g. DOORS, Jama). Prior experience with Jira, Confluence, GitLab and other similar tools. Strong understanding of astrodynamics, the space environment, and corresponding considerations for spacecraft design. Experience working within a Scaled Agile or other Agile framework. Life at BlackSky for full-time benefits eligible employees includes: Medical, dental, vision, disability, group term life and AD&D, voluntary life and AD&D insurance BlackSky pays 100% of employee-only premiums for medical, dental and vision and contributes $100/month for out-of-pocket expenses! 15 days of PTO, 11 Company holidays, four Floating Holidays (pro-rated based on hire date), one day of paid volunteerism leave per year, parental leave and more 401(k) pre-tax and Roth deferral options with employer match Flexible Spending Accounts Employee Stock Purchase Program Employee Assistance and Travel Assistance Programs Employer matching donations Professional development Mac or PC? Your choice! Awesome swag The anticipated salary range for candidates in Washington state is $125,000-$145,000 per year. The final compensation package offered to a successful candidate will be dependent on specific background and education. BlackSky is a multi-state employer, and this pay scale may not reflect salary ranges in other states or locations outside of Seattle, WA. BlackSky is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer All Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other characteristic protected by law. To conform to U. S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U. S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S. C. 1324b(a)(3), or eligible to obtain the required authorizations from the U. S. Department of State. EEO/AAP/ Pay Transparency Statements: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf", "summaryDescription" : "Senior Systems Engineer at BlackSky", "postedDate" : "2026-06-16T01:16:41.197", "createdAt" : "2026-06-16T01:16:41.197", "lastUpdated" : "2026-06-16T09:36:53.342", "ingestTimestamp" : "2026-06-16T01:16:41.197", "mongoId" : "6a307032f292fd229cff1d59", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307032f292fd229cff1d58", "title" : "Senior Systems Engineer", "company" : "BlackSky", "salary" : { "min" : 125000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Tukwila 2+ days in office", "locations" : [ "Tukwila 2+ days in office" ], "timestamp" : "2026-06-16T10:38:15.842", "fingerprint" : "400fe20fc71a822d81981c7b49f490478d5429b0018a8f51df9e68fef5fa66d7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/blacksky/jobs/8584475002?gh_jid=8584475002", "externalId" : "8584475002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tukwila", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "47.4627356,-122.2559156" } ], "locationText" : "Tukwila, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Senior Systems Engineer About Us: BlackSky is a real-time intelligence company. We own and operate the world's most advanced space-based intelligence platform and provide customers satellite imagery, automated analytics and high-frequency monitoring of strategic locations, economic assets and events from around the globe. BlackSky is trusted by the most demanding allied military and intelligence organizations and commercial companies to deliver foresight into critical matters that affect national security and the economy. BlackSky's data enables governments and businesses to see, understand and anticipate change as it happens, giving them the ultimate strategic advantage so they can act quickly. Our global team works with cutting-edge technology to make a difference around the world and prides itself on being people-first, customer-focused and fun. BlackSky is seeking a proven spacecraft systems engineer to provide a key role in the definition, verification, delivery, and assembly of our industry-defining spacecraft. Systems Engineers at BlackSky are involved throughout the engineering lifecycle, from creating and understanding mission needs through design, integration, test, and ultimately the operation of spacecraft in orbit. You’ll collaborate daily with a diverse set of team members – mechanical, electrical, software, and test engineers, operators, and program managers - to be successful in your role. You will work in our Tukwila, WA office with a hybrid on-site schedule with significant flexibility for part-time remote work and report to the Program Chief Engineer. Responsibilities: Define and decompose system CONOPS into Space vehicle, subsystem and component requirements. Perform subsystem and system analyses aimed at driving design definition and verification. Organize, lead, conduct, and document trade studies. Develop system, subsystem, and component verification and test plans. Analyze lab, production, and on-orbit test data. Lead and participate in anomaly and failure investigations. Automate recurring analysis and verification activities. Derive software requirement and user stories from CONOPS and specifications. Communicate technical information (analysis results, finding, trades) to peers, the Program Chief Engineer, program management, and customers. Define, track, and manage key performance parameters (KPPs), key performance indicators (KPIs), and technical performance measures. Other job-related duties as assigned. Required Qualifications: Bachelor of Science in Engineering (Aerospace, Systems, Computer Science, or Electrical preferred). Minimum of five years of experience in the Aerospace or Defense Industry. Strong understanding of spacecraft system and subsystem behaviors and dependencies. Demonstrated technical breadth across spacecraft subsystems. Ability to produce satellite budgets and analyses (power, mass, reliability, etc.). Experience with requirements management tools and practices. Previous experience with MATLAB and python or other similar tools for data analysis. Experience developing systems engineering artifacts: Interface Control Documents, Internal block diagrams, activity diagrams, sequence diagrams, state machines, etc. Strong sense of ownership and innate sense of urgency. Preferred Qualifications: Demonstrated technical depth in at least one spacecraft subsystem or payload. Experience with Model Based Systems Engineering (MBSE) tools and SysML. Previous experience with STK. Experience with requirements tracking tools (e. g. DOORS, Jama). Prior experience with Jira, Confluence, GitLab and other similar tools. Strong understanding of astrodynamics, the space environment, and corresponding considerations for spacecraft design. Experience working within a Scaled Agile or other Agile framework. Life at BlackSky for full-time benefits eligible employees includes: Medical, dental, vision, disability, group term life and AD&D, voluntary life and AD&D insurance BlackSky pays 100% of employee-only premiums for medical, dental and vision and contributes $100/month for out-of-pocket expenses! 15 days of PTO, 11 Company holidays, four Floating Holidays (pro-rated based on hire date), one day of paid volunteerism leave per year, parental leave and more 401(k) pre-tax and Roth deferral options with employer match Flexible Spending Accounts Employee Stock Purchase Program Employee Assistance and Travel Assistance Programs Employer matching donations Professional development Mac or PC? Your choice! Awesome swag The anticipated salary range for candidates in Washington state is $125,000-$145,000 per year. The final compensation package offered to a successful candidate will be dependent on specific background and education. BlackSky is a multi-state employer, and this pay scale may not reflect salary ranges in other states or locations outside of Seattle, WA. BlackSky is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer All Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other characteristic protected by law. To conform to U. S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U. S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S. C. 1324b(a)(3), or eligible to obtain the required authorizations from the U. S. Department of State. EEO/AAP/ Pay Transparency Statements: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf", "summaryDescription" : "Senior Systems Engineer at BlackSky", "postedDate" : "2026-06-16T01:16:33.998", "createdAt" : "2026-06-16T01:16:33.998", "lastUpdated" : "2026-06-16T10:38:15.842", "ingestTimestamp" : "2026-06-16T01:16:33.998", "mongoId" : "6a307032f292fd229cff1d58", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c733974d8ee00a0932a03", "title" : "Business Intelligence and Systems Analyst", "company" : "EP Equipment", "industry" : "Manufacturing", "salary" : { "min" : 56000.0, "max" : 78000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Business Intelligence and Systems Analyst in the Logistics industry in Cologne, Germany, adjusted for company size and specific industry." }, "location" : "Köln, DE", "locations" : [ "Köln", "DE" ], "timestamp" : "2026-06-16T03:36:59.988", "fingerprint" : "2e8c0557ecb977177f462c9fee4d3a90654603cdfe828ee47c0ffb21b1d0563c", "source" : "personio", "language" : "en", "applyUrl" : "https://ep-equipment-europe.jobs.personio.de/job/2661120", "externalId" : "2661120", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Köln", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.9383610,6.9599740" } ], "locationText" : "Köln, Germany", "technicalSkills" : "Power BI, DAX, Power Query, SQL, HubSpot, Excel, VBA, Sage, SAP HANA", "professionalSkills" : [ "Data modelling", "Process documentation" ], "hardSkillsList" : [ "Data reconciliation", "Pipeline hygiene", "Spreadsheet retirement" ], "hardSkills" : [ { "name" : "Data reconciliation", "level" : "intermediate" }, { "name" : "Pipeline hygiene", "level" : "intermediate" }, { "name" : "Spreadsheet retirement", "level" : "intermediate" } ], "majorSkills" : "Business intelligence, Data analysis, Systems analysis", "majorSkillsList" : [ "Business intelligence", "Data analysis", "Systems analysis" ], "coreResponsibilities" : "Pull data into Power BI, Build Power BI datasets, Reconcile data across systems, Ensure pipeline hygiene, Retire business spreadsheets, Map data flow", "teamCollaboration" : "Commercial teams; Finance teams; Country MDs; Finance directors", "domainKnowledge" : "Order to cash; After-sales service; Multi-entity operations", "domainList" : [ "order-to-cash", "after-sales-service", "multi-entity-operations" ], "domainSpecificKnowledge" : [ "Order to cash", "After-sales service", "Multi-entity operations" ], "toolProficiency" : [ "Power BI", "Sage", "SAP HANA", "HubSpot", "Excel", "Power Query", "VBA", "BPMN" ], "communicationSkills" : "Explain discrepancies", "documentationSkills" : "Process documentation; Map data flow", "continuousLearning" : "Grow with us", "problemSolvingSkills" : "Trace numbers to source; Explain discrepancies", "outcomesObjectives" : "Turn operations into trusted numbers; Make business flow legible in data; Ensure reporting tells same story", "qualificationsBasic" : "Power BI experience, Trace numbers to source, Understand business flow, Comfortable across CRM, ERP, BI, Fluent English, Power BI data modelling, Power BI DAX, Power BI Power Query, SQL query Sage, SQL query SAP HANA, HubSpot CRM data structure, HubSpot pipeline reporting, Excel proficiency, Power Query proficiency, Process documentation discipline, Map data flow", "qualificationsPreferred" : "VBA proficiency, BPMN proficiency", "workSiteFlexibility" : "Flexible", "rawDescription" : "Your responsibilities We are looking for someone who turns how EP Equipment runs into numbers people trust. EP Equipment is growing fast. Our commercial pipeline lives in HubSpot, our orders and finance run through Sage, and our stock and ledgers sit in SAP HANA. Your job is to pull them all together into Power BI dashboards that our country MDs and finance directors open every morning. When a number on the dashboard is questioned, you can trace it back to the order, the invoice, and the deal, and explain it. This is a flow-first role, not a tool-first one. We care that you understand how a dealer order becomes a delivered forklift, an invoiced job, and a serviced machine, and that you can make that flow legible in data: The reporting layer: Power BI datasets and dashboards that the commercial and finance teams run on. You are responsible for the model underneath them, not just the visuals on top. One number, one meaning: data reconciled across HubSpot, Sage and SAP HANA so the pipeline, the order book and the ledger tell the same story. CRM data quality in HubSpot: pipeline hygiene, properties and structure clean enough that the reporting on top of it can be trusted. Spreadsheet retirement: if a controller is keeping a workbook the business depends on, you replace it with a governed dashboard. What your team does Your profile You have built Power BI that people actually open every morning, not a deck of charts nobody returns to. You can trace a number from a dashboard back to the order, the invoice and the CRM deal, and explain a discrepancy without waiting for IT. You understand the business flow behind the data (order to cash, after-sales, multi-entity), not just the DAX. You are comfortable sitting across CRM, ERP and BI without needing to own any single one of them. Fluent in German; a good working level of English. On the technical side Power BI : data modelling, DAX and Power Query. You build the datasets, not just the charts. SQL: you can query Sage and SAP HANA sources yourself when a report does not add up. HubSpot: CRM data structure, properties and pipeline reporting. Direct experience preferred; strong CRM experience elsewhere works if you pick things up fast. Excel & Power Query, and ideally some VBA, for the workbooks the business still runs on today. Process documentation discipline: BPMN or equivalent. You can map the flow you are reporting on, not just describe it. Even if you are not yet confident in every area, we look forward to hearing from you if you are keen to grow with us. Why us? Modern working environment: Attractive location in Cologne-Mülheim, easily accessible by car and public transport. Start-up flair: A company that thinks innovatively and at the same time has a stable market position. You can grow with us. International team: Work in a multicultural team with colleagues from more than 14 countries. Career opportunities: Take on responsibility early and develop personally and professionally. Public transport, parking space for cars and bikes,drinks, parking, fruits, table football, table tennis. Get in contact with EP Send your CV and one paragraph on a report or dashboard you built that changed a decision: what was wrong or unclear before, what you built, and what the business measured after. Contact: recruiting@ep-equipment.eu", "summaryDescription" : "Business Intelligence and Systems Analyst at EP Equipment. Skills: Business intelligence, Data analysis, Systems analysis. Pull data into Power BI. Build Power BI datasets", "createdAt" : "2026-06-14T20:27:38.844", "lastUpdated" : "2026-06-16T03:36:59.988", "ingestTimestamp" : "2026-06-14T20:27:38.844", "mongoId" : "6a2c733974d8ee00a0932a03", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data reconciliation", "Pipeline hygiene", "Spreadsheet retirement", "Business intelligence", "Data analysis", "Systems analysis", "Data modelling", "Process documentation", "Order to cash", "After-sales service", "Multi-entity operations", "Power BI", "Sage", "SAP HANA", "HubSpot", "Excel", "Power Query", "VBA", "BPMN" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cc34174d8ee00a0a08d53", "title" : "Senior Analyst, Commercial & Analytics", "company" : "Angi", "industry" : "Marketing", "salary" : { "min" : 68000.0, "max" : 90000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hybrid - France - Aix-en-Provence", "locations" : [ "Hybrid - France - Aix-en-Provence" ], "timestamp" : "2026-06-15T11:59:57.244", "fingerprint" : "e47fe9a41bcc8cd0d72b4b6a0c20f50c7e9e0d296c54f397aa2ea4acef8eea5f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/angi/82b41972-4cd4-48ad-a18b-4ec273f6b9d2/application", "externalId" : "82b41972-4cd4-48ad-a18b-4ec273f6b9d2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Aix-en-Provence", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "43.5298424,5.4474738" } ], "locationText" : "Aix-en-Provence, France", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, BigQuery, Tableau, Looker", "professionalSkills" : [ "Marketplace strategy", "Pricing strategy", "Promotional strategy", "Revenue growth", "Customer value optimization", "Strategic analysis", "Quantitative analysis", "Business objectives alignment" ], "hardSkillsList" : [ "Data analysis", "Reporting", "Statistical analysis", "Trend identification", "Pattern identification", "Insight generation", "KPI tracking", "Metric evaluation" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Trend identification", "level" : "intermediate" }, { "name" : "Pattern identification", "level" : "intermediate" }, { "name" : "Insight generation", "level" : "intermediate" }, { "name" : "KPI tracking", "level" : "intermediate" }, { "name" : "Metric evaluation", "level" : "intermediate" } ], "majorSkills" : "Commercial analysis, Marketplace analytics, Strategic initiatives, Data-driven recommendations", "majorSkillsList" : [ "Commercial analysis", "Marketplace analytics", "Strategic initiatives", "Data-driven recommendations" ], "coreResponsibilities" : "Analyze large datasets, Identify trends, Identify patterns, Identify insights, Develop strategic initiatives, Implement strategic initiatives, Develop reports, Maintain reports, Develop dashboards, Maintain dashboards, Develop visualizations, Maintain visualizations, Track key performance indicators, Formulate A/B test frameworks, Identify process improvements, Implement process improvements, Enhance data accuracy, Enhance reporting efficiency, Enhance analytical capabilities, Leverage advanced analytical tools, Leverage AI tools, Optimize workflows, Develop recommendations, Deliver recommendations, Stay informed about industry best practices, Stay informed about emerging pricing trends, Stay informed about technological advancements", "teamCollaboration" : "Broader marketing teams; Cross-functional teams; Sales teams; Marketing teams; Finance teams; Operations teams; Senior leadership", "projectManagementSkills" : [ "Strategy development", "Project execution" ], "domainKnowledge" : "Two-sided marketplace; Commercial topics; Pricing trends", "domainList" : [ "two-sided-marketplace", "commercial-topics", "pricing-trends" ], "domainSpecificKnowledge" : [ "Two-sided marketplace", "Commercial topics", "Pricing trends" ], "toolProficiency" : [ "Tableau", "Looker", "BigQuery", "SQL", "AI tools" ], "communicationSkills" : "Verbal communication; Written communication; Actionable recommendations; Data-driven insights", "problemSolvingSkills" : "Interpreting data; Generating qualitative feedback; Evaluating metrics", "outcomesObjectives" : "Optimize customer value; Drive revenue growth; Drive LTV growth; Drive market expansion; Guide marketplace health; Ensure alignment of commercial strategies", "qualificationsBasic" : "6+ years of professional experience, Bachelor's or Master's degree, Proficiency in data analysis & reporting tools, Analytical skills, Good business acumen", "qualificationsPreferred" : "Experience in campaign management, Experience in a two-sided marketplace", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. Angi at a glance: - Founded in 1995 as Angie’s List and rebranded in 2021 - Global company with 9 brands in 8 countries and employees worldwide - Homeowners have turned to us for 300 million home projects and counting About the team: We are seeking a Senior Analyst for our Commercial & Analytics team to drive strategic marketplace, pricing, and promotional decisions that optimize customer value. This team manages marketplace strategy across all brands, focusing on revenue growth and balance. You will lead marketplace initiatives and promotional strategies, partnering across the organization to ensure successful execution through quantitative and strategic analysis. This role reports into the Associate Director, Strategic Analytics and can be based out of any of our 4 office locations: Aix-en-Provence, Amsterdam, Berlin and London. What you’ll do: - Analyze large datasets to identify trends, patterns, and insights that inform business decisions. - Collaborate with broader marketing teams to develop and implement strategic initiatives that drive revenue/LTV growth and market expansion. - Develop and maintain comprehensive reports, dashboards, and visualizations to track key performance indicators (KPIs) that guide marketplace health. - Formulate A/B test frameworks to discern the impact of adjustments/new initiatives on marketplace & other business metrics. - Identify and implement process improvements to enhance data accuracy, reporting efficiency, and overall analytical capabilities. - Leverage advanced analytical tools and AI tools to optimize workflows. - Work closely with cross-functional teams including Sales, Marketing, Finance, and Operations to ensure alignment of commercial strategies with overall business objectives. - Develop and deliver clear, actionable recommendations to senior leadership, accompanied by data-driven insights and rationale. - Stay informed about industry best practices, emerging pricing trends, and technological advancements to continuously improve marketplace growth. Who you are: - 6+ years of professional experience as an analyst/senior analyst, preferably in a two-sided marketplace. - Bachelor's or Master’s degree in Business or a related field, with a strong analytical background. - Demonstrated capability to influence stakeholders and manage projects from strategy development through to successful execution. - Proficiency in data analysis & reporting tools (e.g.Tableau, Looker, and BigQuery/SQL, among others). - Comfortable utilizing AI tools to improve efficiencies and integrate their usage in daily work - Strong analytical skills and good at interpreting data, generating qualitative feedback and evaluating metrics to inform decision-making. - Good business acumen with a strong understanding of commercial topics. - Exceptional organizational skills, capable of managing multiple projects in a fast-paced environment. - Experience in campaign management in a customer centric environment is a plus. - Fluent in English, with strong verbal and written communication skills. Compensation & Benefits: - The salary band for this position ranges from €68,000 - €90,000, commensurate with experience and qualifications. - Hybrid work environment and home office set-up allowance - Temporary work from abroad policy - Regular team and social events", "summaryDescription" : "Senior Analyst, Commercial & Analytics at Angi. Skills: Commercial analysis, Marketplace analytics, Strategic initiatives, Data-driven recommendations. Analyze large datasets. Identify trends", "createdAt" : "2026-06-14T05:08:15.000", "lastUpdated" : "2026-06-15T11:59:57.244", "ingestTimestamp" : "2026-06-14T05:08:15.000", "mongoId" : "6a2cc34174d8ee00a0a08d53", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Reporting", "Statistical analysis", "Trend identification", "Pattern identification", "Insight generation", "KPI tracking", "Metric evaluation", "Commercial analysis", "Marketplace analytics", "Strategic initiatives", "Data-driven recommendations", "Marketplace strategy", "Pricing strategy", "Promotional strategy", "Revenue growth", "Customer value optimization", "Strategic analysis", "Quantitative analysis", "Business objectives alignment", "Strategy development", "Project execution", "Two-sided marketplace", "Commercial topics", "Pricing trends", "Tableau", "Looker", "BigQuery", "SQL", "AI tools" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305ae9f292fd229cf57208", "title" : "Senior Process Intelligence and Digital Transformation Consultant - AI & Process Analytics (Public Sector)", "company" : "Celonis", "industry" : "SaaS", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline salary for a Senior Process Intelligence and Digital Transformation Consultant in Paris, France, adjusted for the SaaS industry and company size." }, "location" : "Paris, France", "locations" : [ "Paris", "France" ], "timestamp" : "2026-06-16T09:00:41.312", "fingerprint" : "cbf7dc66608f7c855776b09a74f860bc6e23093a30c97abba71a56c8082dcba7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/celonis/jobs/7773716003?gh_jid=7773716003", "externalId" : "7773716003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Paris", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8534951,2.3483915" } ], "locationText" : "Paris, France", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, ML, Python, Generative AI, RAG, Prompt engineering, Agent-based systems, LLM", "professionalSkills" : [ "Solutions consulting", "Data consulting", "AI consulting", "Technical pre-sales", "Sales engineering", "Value engineering", "Solution architecture", "Business process analysis", "Problem framing", "Solution design" ], "hardSkillsList" : [ "Process Intelligence", "Process Mining", "AI solution architecture", "Business value realization" ], "hardSkills" : [ { "name" : "Process Intelligence", "level" : "intermediate" }, { "name" : "Process Mining", "level" : "intermediate" }, { "name" : "AI solution architecture", "level" : "intermediate" }, { "name" : "Business value realization", "level" : "intermediate" } ], "majorSkills" : "Process Intelligence, AI, Digital Transformation, Customer facing", "majorSkillsList" : [ "Process Intelligence", "AI", "Digital Transformation", "Customer facing" ], "coreResponsibilities" : "Identify high-impact AI opportunities, Design AI-powered solutions, Prototype and demonstrate value, Lead AI innovation with customers, Facilitate workshops, Facilitate hackathons, Facilitate innovation sessions, Drive adoption and business impact, Ensure successful implementation, Ensure adoption, Ensure value realization, Develop domain expertise, Scale knowledge across organization", "teamCollaboration" : "Work with enterprise customers; Partner with customer teams; Engage French-speaking customers; Present to executives", "domainKnowledge" : "Business processes; Supply chain; Finance; AI use cases", "domainList" : [ "business-processes", "supply-chain", "finance", "ai-use-cases" ], "domainSpecificKnowledge" : [ "Business processes", "Supply chain", "Finance", "AI use cases" ], "toolProficiency" : [ "Microsoft", "OpenAI", "Databricks" ], "communicationSkills" : "Executive presentations; Customer workshops; Stakeholder interactions", "innovationCreativity" : "Explore new ways AI can transform operations", "problemSolvingSkills" : "Translate business challenges into technical solutions; Translate high-level business needs into specific AI use cases", "outcomesObjectives" : "Deliver measurable business value; Unlock real ROI on AI deployments; Deliver meaningful value for customers; Increase footprint at customers", "qualificationsBasic" : "5+ years experience, Native-level French proficiency", "qualificationsPreferred" : "Masters Degree in computer science, Masters Degree in engineering, Masters Degree in mathematics, Experience building generative AI applications, Familiarity with LangChain, Familiarity with LlamaIndex, Familiarity with LLM orchestration frameworks, Industry experience in supply chain, Industry experience in finance", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet. Role Description As a Senior Process Intelligence and Digital Transformation Consultant (Internal Title: Senior Applied AI Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers. This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers. Native-level French proficiency is required for this role. Candidates must be able to lead customer workshops, conduct executive presentations, and manage stakeholder interactions in French. Key Responsibilities: Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value. Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies. Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders. Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations. Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments. Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization. You might be a great fit if you... have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles enjoy translating business challenges into technical solutions can communicate complex technical concepts to business and executive stakeholders have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases. demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos. have some experience prototyping solutions with Python and modern AI frameworks are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have). possess native-level or near-native French language skills (written and spoken), with the ability to confidently engage French-speaking customers, facilitate workshops, and present to executive stakeholders. Nice to have (big plus): Experience building or deploying generative AI applications Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks Industry experience in domains such as supply chain, finance, or operations What Celonis can offer you: Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations. Ownership from Day 1: Every full-time \"Celonaut\" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants. Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment. Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration. Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform. Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated \"Wellness Weeks\" that prioritize work/life balance. Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually. Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued. Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision. About Us: Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Get familiar with the Celonis Process Intelligence Platform by watching this video. Celonis Inclusion Statement: At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen. Your Privacy: Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process. Please be aware of common job offer scams, impersonators and frauds. Learn more here.", "summaryDescription" : "Senior Process Intelligence and Digital Transformation Consultant - AI & Process Analytics (Public Sector) at Celonis. Skills: Process Intelligence, AI, Digital Transformation, Customer facing. Identify high-impact AI opportunities. Design AI-powered solutions", "postedDate" : "2026-06-15T23:24:29.653", "createdAt" : "2026-06-15T23:24:29.653", "lastUpdated" : "2026-06-16T09:00:41.312", "ingestTimestamp" : "2026-06-15T23:24:29.653", "mongoId" : "6a305ae9f292fd229cf57208", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Process Intelligence", "Process Mining", "AI solution architecture", "Business value realization", "AI", "Digital Transformation", "Customer facing", "Solutions consulting", "Data consulting", "AI consulting", "Technical pre-sales", "Sales engineering", "Value engineering", "Solution architecture", "Business process analysis", "Problem framing", "Solution design", "Business processes", "Supply chain", "Finance", "AI use cases", "Microsoft", "OpenAI", "Databricks" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c692474d8ee00a090635c", "title" : "Senior Product Manager - Merchant Intelligence and Analytics", "industry" : "Product", "location" : "Remote", "locations" : [ "Remote", "Remote - EMEA" ], "timestamp" : "2026-06-15T09:41:08.681", "fingerprint" : "130ebb148618211b59b3bd68d425e661a4f39b1a3359d54546b1eb6b84dad77d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/constructor/e7426b59-431b-418b-a501-dde7f13b21bf/application", "externalId" : "e7426b59-431b-418b-a501-dde7f13b21bf", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Data storytelling", "User experience advocacy", "Strategic thinking", "Cross-functional leadership", "Customer research", "Problem solving", "Decision making", "Motivating teams", "Driving outcomes", "Strategic execution", "Product strategy", "Business intelligence", "Reporting design" ], "hardSkillsList" : [ "Qualitative research", "Quantitative research" ], "hardSkills" : [ { "name" : "Qualitative research", "level" : "intermediate" }, { "name" : "Quantitative research", "level" : "intermediate" } ], "majorSkills" : "Product strategy, Business intelligence, Customer insights, Data analysis", "majorSkillsList" : [ "Product strategy", "Business intelligence", "Customer insights", "Data analysis" ], "coreResponsibilities" : "Develop product strategy, Execute product strategy, Define business intelligence metrics, Define insights metrics, Build actionable reporting, Communicate Constructor's impact, Design reporting for personas, Own cross-product revenue breakdown, Surface shopping journey impact, Drive proactive insights, Lead cross-functional team, Scale cross-functional team, Manage product cycle, Conduct customer research, Understand analytics consumption, Understand decision making, Understand value proof, Collaborate with product teams, Ensure data quality, Ensure data actionability, Communicate at all levels, Set expectations, Provide updates", "teamCollaboration" : "Cross-functional teams; Fellow product teams; GTM teams; Internal stakeholders", "projectManagementSkills" : [ "Product cycle management", "Roadmap planning" ], "domainKnowledge" : "Product discovery; E-commerce; Business performance; Return on investment; Shopping journey", "domainList" : [ "product-discovery", "e-commerce", "business-performance", "return-on-investment", "shopping-journey" ], "domainSpecificKnowledge" : [ "Product discovery", "E-commerce", "Business performance", "Return on investment", "Shopping journey" ], "communicationSkills" : "Shareable narratives; Regular updates", "problemSolvingSkills" : "Root cause analysis; Opportunity assessment; Risk assessment; Decision making", "outcomesObjectives" : "Prove Constructor value; Make insights accessible; Make insights actionable; Drive retention; Drive upsells; Drive customer trust; Make ROI visible; Explain revenue drivers; Expand insight reach; Ensure value transparency; Ensure value clarity; Understand business performance; Understand ROI; Deliver compelling narratives; Position Constructor indispensable; Drive e-commerce business; Unify merchandisers; Unify product managers; Unify marketers; Unify analysts; Unify executives; Provide actionable insights; Explain why insights happen; Guide next steps; Launch products; Enable teams; Enable customers; Iterate on results", "qualificationsBasic" : "Customer research competencies, Strategic thinking, Cross-functional leadership, Experience working remotely, Experience in agile software development", "qualificationsPreferred" : "Background in analytics, Background in e-commerce products", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT YOU As the Product Manager for Merchant Intelligence & Analytics (MIA), you will lead a cross-functional team building intelligence products that prove the value Constructor brings to e-commerce businesses — making insights from the product discovery journey accessible and actionable for stakeholders from digital merchandisers to executives. You are a data storyteller and user experience advocate who excels at turning fragmented analytics into proactive, guided, and holistic user journeys delivered to the right persona through the right channel at the right time. By leveraging your competencies in customer research, strategic thinking, and cross-functional leadership, you will bridge the gap between raw analytics data and business intelligence that drives retention, upsells, and customer trust. JOB DESCRIPTION Constructor is the only platform that delivers reinforcement-learning-based product discovery that delivers the right product to the right person at the right time in the right context. Our customers need actionable data that proves ROI, informs merchandising strategy, and surfaces opportunities for improvement across the entire product discovery journey. The business impact we deliver to our customers is real — Constructor has never lost an A/B test against competition. The opportunity ahead is to make it continuously visible beyond A/B tests, building an always-on explanation of how product discovery drives revenue. Our customer-facing dashboard already serves merchandisers well, and the next challenge is expanding the reach to every persona responsible for conversion: product managers, marketers, analysts, and executives. Success in this role means ensuring that the massive business value Constructor delivers is fully transparent and clear across our customers' organizations. As a Product Manager leading the MIA team, you will own the customer job of understanding business performance and ROI of product discovery driven by Constructor. This is a high visibility, high impact role that involves conducting deep customer research across multiple personas, finding the right channels to deliver insights, defining metrics for insight quality and adoption, leading your cross-functional team, and ultimately, translating vast and complex data into compelling, shareable narratives for all audiences, from IC merchandisers to executives. WHAT YOU WILL DO - Develop and execute a comprehensive product strategy and metrics for business intelligence and insights that position Constructor as an indispensable product discovery platform for driving e-commerce business. - Build clear and actionable reporting that communicates Constructor's impact on business metrics and is designed to be consumed and shared across multiple personas through the right channels (customer app, email, exports, conversational AI). - Own the cross-product revenue breakdown: surface how each step in the shopping journey drives e-commerce business as the shared mental model that unifies merchandisers, product managers, marketers, analysts, and executives. - Drive proactive, actionable insights at each step of the product discovery journey — not just data on what's happening, but why it's happening and what to do next. - Lead and scale a cross-functional team of engineers and a designer, while owning the full product cycle from discovery to prototyping, implementation, launching, enabling fellow teams and customers, and iterating on results. - Conduct customer research across multiple personas and industries to understand how different stakeholders consume analytics, make decisions, and prove value internally. - Collaborate closely with fellow product teams to ensure data quality and actionability in merchandising, explainability, reporting, and AI agent workflows. - Communicate effectively at all levels to ensure wonderful experience for customers, prospects, GTM teams, and internal stakeholders, by setting the right expectations and providing regular updates on product strategy, roadmap, and progress against key initiatives and team metrics. WHO WE ARE LOOKING FOR - You are a data storyteller — you can take complex e-commerce data and translate it into compelling, value-based, and actionable narratives tailored to different audiences: executives, PMs, merchandisers, marketers. - You are a user experience advocate who turns fragmented workflows into proactive, guided, and holistic experiences. You understand that data is not delivered until it provokes action. - You love doing qualitative and quantitative customer research. You go beyond surface-level requests to understand the underlying business needs behind them. - You are a problem solver who digs into root causes, assesses opportunities and risks, and makes decisions even when faced with uncertainty. - You are able to motivate cross-functional teams and drive outcomes by involving and guiding fellow product and GTM teams. - You think strategically and execute consistently — delivering tangible wins while ensuring focus on long-term objectives. You know how to trade off short-term customer requests with strategic bets. - You are comfortable collaborating with technical teams (data engineering, ML, backend) outside your area of expertise to make informed product decisions. - You are naturally curious about new ideas and products. - You seek a fast-moving entrepreneurial environment and thrive in ever-evolving processes. - You have experience of working remotely and in agile software development with empowered cross-functional teams. - Having a background in analytics and/or e-commerce products is a plus.", "summaryDescription" : "Senior Product Manager - Merchant Intelligence and Analytics. Skills: Product strategy, Business intelligence, Customer insights, Data analysis. Develop product strategy. Execute product strategy", "createdAt" : "2026-06-14T04:55:21.210", "lastUpdated" : "2026-06-15T09:41:08.681", "ingestTimestamp" : "2026-06-14T04:55:21.210", "mongoId" : "6a2c692474d8ee00a090635c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Qualitative research", "Quantitative research", "Product strategy", "Business intelligence", "Customer insights", "Data analysis", "Data storytelling", "User experience advocacy", "Strategic thinking", "Cross-functional leadership", "Customer research", "Problem solving", "Decision making", "Motivating teams", "Driving outcomes", "Strategic execution", "Reporting design", "Product cycle management", "Roadmap planning", "Product discovery", "E-commerce", "Business performance", "Return on investment", "Shopping journey" ], "skillCount" : 24, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305d27f292fd229cf64ca3", "title" : "Director, Commercial Data & Analytics", "salary" : { "min" : 215000.0, "max" : 315000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for Director, Commercial Data & Analytics in Pittsburgh, United States, adjusted for seniority, industry, and company size." }, "location" : "Pittsburgh, PA", "locations" : [ "Pittsburgh, PA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:58:26.775", "fingerprint" : "239b5d13a9f8ad2325e126312ec6ec2c468be2128cf124c0378a15ccef164f44", "source" : "jazzhr", "language" : "en", "externalId" : "q2hVx07RFr", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pittsburgh", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.4406968,-80.0025666" } ], "locationText" : "Pittsburgh, Pennsylvania, United States", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis", "Strategic planning", "Team leadership" ], "hardSkillsList" : [ "Data analysis", "Data visualization", "Machine learning modeling", "Statistical modeling", "ETL processes", "Data warehousing", "Cloud data services", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Machine learning modeling", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Cloud data services", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, Data Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Lead commercial data and analytics initiatives, Develop and implement data strategies, Oversee data science and analytics teams, Build and maintain data pipelines, Develop predictive models, Create insightful dashboards and reports, Collaborate with business stakeholders, Drive data-driven decision-making", "teamCollaboration" : "Cross-functional teams; 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Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Lead commercial data and analytics initiatives. 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Engineering teams; Product teams; Client stakeholders", "domainKnowledge" : "Client engagement analytics; Data science principles; Machine learning frameworks; BI platforms; Cloud data stacks; Statistical methods; Data modelling", "domainList" : [ "client-engagement-analytics", "data-science-principles", "machine-learning-frameworks", "bi-platforms", "cloud-data-stacks", "statistical-methods", "data-modelling" ], "domainSpecificKnowledge" : [ "Client engagement analytics", "Data science principles", "Machine learning frameworks", "BI platforms", "Cloud data stacks", "Statistical methods", "Data modelling" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch" ], "problemSolvingSkills" : "Data analysis; Troubleshooting data issues", "qualificationsBasic" : "4-8 years of experience, Bachelor's degree in Computer Science, Statistics, Mathematics, or related field, Proficiency in SQL, Experience with Python or R", "qualificationsPreferred" : "Master's degree or PhD, Experience with cloud platforms (AWS, GCP, Azure), Experience with data warehousing solutions (Snowflake, BigQuery, Redshift), Experience with BI tools (Tableau, Power BI, Looker), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Us Sage is on a mission to improve care and quality of life for older adults, starting with those residing in senior living facilities. Falls are the leading cause of injury-related death among adults over 65. And yet, fall prevention and emergency response systems for older adults are archaic and ineffective. At Sage we've built a more modern way of understanding when older adults need help, including methods for residents to alert caregivers when in need of help, and corresponding software for caregivers to triage response. Our company mission is to create a product that our client counterparts love, and this role is a key part of that objective. Sage is a small, tight team of ambitious, multi-disciplinary entrepreneurs. We are a software-enabled, mission-driven company, and are focused only on the problems that are central to achieving that mission. At Sage, we work hard and fast but also know that to build a truly important company, we need to treat our work as a marathon, and not a sprint. The journey matters. About this Role This Senior Analytics Engineer for Client Deployments will be a pivotal technical player in our fast-growing startup. You will focus on new client engagements, prioritizing value creation within the critical first 3-6 months of communities going live. You will act as the technical bridge between our clients, Sage operations teams, and the data architecture that drives our insights. Because on-site context is vital to our success, you should expect up to 25% travel (typically 1-2 weeks at a time maximum) to work directly with clients and ensure seamless deployments. Key Responsibilities Client Engagement & Scoping: Partner closely with clients and Sage operations teams to scope and define technical requirements for new community deployments. Pipeline & Architecture: Build and maintain robust bi-directional data pipelines to ensure seamless, secure data flow between client systems and Sage's infrastructure. Custom Analytics & Modeling: Develop custom analyses, data models, and reporting dashboards that drive immediate, measurable value for clients in their first 3-6 months post-launch. Minimum Qualifications 4–8 years of professional experience in analytics engineering, data engineering, or a closely related technical field. Proven track record of designing and building data pipelines, custom analyses, data models, and reporting systems. Strong client-facing communication skills with experience scoping complex technical requirements alongside both technical and non-technical stakeholders. Ability and willingness to travel up to 25% of the time (in 1-2 week increments). Preferred Qualifications Experience working in a fast-paced B2B startup environment or deploying software to external enterprise clients. Background working with healthcare, senior living, or health-tech data domains. Benefits and Pay Our headquarters are located in New York City's Union Square. We believe in cross team collaboration. We think good ideas can come from anyone, and we've designed our processes to encourage participation from all. While we take our mission seriously, we don't take ourselves too seriously. We like to host offsites, outings, and team meals where we can connect as people, not just as colleagues. We offer office lunch and a fully stocked snack bar. While we are an in-office culture, we allow up to 2 remote days per week. Our benefits package for employees includes competitive base compensation along with stock options. The expected annual salary range for this role is $180,000 to $200,000 USD, depending on your level of expertise, your experience, and your performance in the interview process. We also provide fully-paid health and dental insurance coverage for all of our employees, along with other health benefits including vision insurance, membership to premium primary and urgent care, and online medical health providers. We also have a take as you need time off policy, in addition to 7 paid holidays and a company wide winter break during the holidays. EEO Statement Sage is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Sage makes hiring decisions based solely on qualifications, merit, and business needs at the time.", "summaryDescription" : "Senior Analytics Engineer, Client Engagement at Sage. Skills: Analytics Engineering, Data Engineering, Business Intelligence, Client Engagement. 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Clients benefit from decades of expertise, enhanced support, and UPSTACK’s proprietary technology—delivering faster deployments, cost savings, and streamlined access to critical solutions. Our expertise includes: data center colocation, network connectivity, SD-WAN, unified communications, cloud contact center, CX-AI, private/public cloud, security, mobility, business continuity, and IoT. Under the leadership of Founder and CEO Christopher Trapp, UPSTACK is committed to exceptional customer experiences, serving 6,500+ clients—from SMBs to enterprises—and managing over $550M in annual technology spend across industries. About the Role We are seeking a strategic and analytical Director, Revenue Intelligence & Analytics to serve as a trusted partner to the Chief Revenue Officer (CRO) and Go-to-Market (GTM) leadership team. This leader will drive business performance through revenue intelligence, forecasting excellence, financial and operational analytics, and AI-driven insights. The ideal candidate combines deep expertise in revenue operations, financial planning, and business analytics with the ability to influence executive decision-making. This role will lead forecasting governance, pipeline analytics, productivity measurement, partner economics, investment optimization, and strategic planning initiatives that support scalable revenue growth and operational excellence. Key Responsibilities Revenue Intelligence & Forecasting Own and continuously improve revenue forecasting models, including pipeline, bookings, revenue, and quota attainment. Drive forecast rigor, governance processes, and forecasting methodologies across GTM leadership. Lead pipeline inspection and deal review processes to improve forecast accuracy and predictability. Analyze stage conversion rates, deal progression, slippage trends, and forecast variance. Support monthly, quarterly, and annual forecasting processes in partnership with Finance and GTM leadership. Sales Performance & Productivity Analytics Develop sales capacity models, including headcount planning, quota allocation, territory coverage, and ramp productivity. Evaluate sales productivity across segments, geographies, verticals, routes-to-market, and seller types. Support compensation plan modeling, attainment analysis, and incentive effectiveness reviews. Identify opportunities to improve revenue-generating efficiency and resource allocation. Strategic Growth & Market Analysis Conduct Ideal Customer Profile (ICP) analysis, market segmentation, whitespace analysis, and growth opportunity modeling. Analyze key SaaS business drivers including customer acquisition cost (CAC), lifetime value (LTV), funnel conversion, retention, and revenue growth metrics. Develop financial and business models to support pricing strategy, territory planning, market expansion, and investment decisions. Provide recommendations on GTM investments, territory design, and strategic growth initiatives. Partner & Ecosystem Performance Evaluate partner, channel, alliance, and ecosystem performance, including ROI and investment effectiveness. Assess partner economics and recommend optimization strategies to maximize growth and profitability. Executive Reporting & Business Insights Lead analytics and reporting for forecast reviews, Quarterly Business Reviews (QBRs), executive operating reviews, and Board presentations. Design and maintain executive dashboards and KPI reporting frameworks. Deliver actionable insights on performance against targets, highlighting risks, opportunities, and recommended actions. Translate complex data into clear, compelling executive-level narratives. AI & Advanced Analytics Leverage predictive analytics, AI-assisted forecasting, automation, anomaly detection, and scenario modeling to improve decision-making. Identify opportunities to enhance business intelligence capabilities and operational efficiency through technology and analytics. Cross-Functional Leadership Partner with Sales, Marketing, Customer Success, Revenue Operations, Business Systems & Data, and Finance teams to drive alignment and execution. Support annual planning, budgeting, and long-range strategic planning processes. Ensure data integrity, reporting consistency, and analytical rigor across the organization. Drive continuous improvement of processes, tools, systems, and reporting frameworks. Education Bachelor's degree in Finance, Accounting, Economics, Business Administration, or a related field. Required Qualifications 10+ years of experience in Revenue Operations, Revenue Analytics, FP&A, Business Intelligence, Sales Operations, or related strategic analytics functions. Experience supporting executive leadership teams and influencing business strategy through data-driven insights. Proven success in SaaS, subscription-based, or high-growth technology environments. Demonstrated experience building and managing forecasting, planning, and performance management processes. Deep knowledge of: Revenue Operations principles Forecast governance and pipeline management Territory design and sales capacity planning Compensation and incentive design Partner and ecosystem business models SaaS growth metrics and revenue architecture FP&A, forecasting, budgeting, and variance analysis Revenue modeling concepts including ARR, MRR, bookings, churn, and pipeline metrics GTM business models and sales performance measurement Advanced proficiency with: Salesforce SQL Snowflake Gong HubSpot Marketo Power BI, Tableau, or similar BI platforms Excel and financial modeling tools Predictive analytics and AI-enabled business analysis solutions Exceptional analytical and problem-solving skills. Strong executive communication and data storytelling capabilities. Ability to synthesize large, complex datasets into actionable business recommendations. Excellent stakeholder management and cross-functional collaboration skills. Strong project management and prioritization abilities. High attention to detail and commitment to data accuracy. Additional Requirements Ability to influence executive decision-making through quantitative analysis and strategic recommendations. Demonstrated ability to challenge assumptions and drive accountability through business inspection processes. Experience balancing strategic planning with operational execution. Strong business acumen with a focus on ROI-driven investment decisions. Ability to thrive in a fast-paced, high-growth environment with evolving priorities. Proven track record of identifying business risks and opportunities proactively. Experience building scalable analytical frameworks and financial models that support company growth. Ability to partner effectively with both technical and non-technical stakeholders. Commitment to continuous improvement, operational excellence, and innovation. Salary Range Employees new to UPSTACK typically come in at the start of the pay range. UPSTACK focuses on providing a simple and transparent pay structure, which is based on a variety of factors, including location, experience, and job-related skills. The salary range for this role is $170,000.00 to $190,000.00 annually plus participation in the annual bonus program. Compensation includes base salary and benefits. Closing UPSTACK is an Equal Opportunity Employer and does not discriminate based on race, gender, ethnicity, religion, national origin, age, disability, veteran status, gender identity/expression, sexual orientation, or on any other basis prohibited by law. Consistent with applicable state and local law, UPSTACK will consider employment for all qualified applicants. UPSTACK is committed to providing reasonable accommodations to individuals with disabilities as required by applicable law. Accommodations may include adjustments to the application, interview, or assessment process, as well as modifications to the work environment or job duties to enable individuals to perform the essential functions of the role. Requests for accommodations will be evaluated on a case-by-case basis and provided unless they impose an undue hardship on the organization. At this time, UPSTACK will not sponsor a new applicant for employment authorization for this position. We endeavor to make the application process accessible to all applicants. If you would like to contact us regarding accessibility and/or need assistance completing the application process, please contact us at recruiting@upstack.com.", "summaryDescription" : "Director, Revenue Intelligence & Analytics at UPSTACK", "postedDate" : "2026-06-14T20:03:29.222", "createdAt" : "2026-06-14T20:03:29.222", "lastUpdated" : "2026-06-16T03:55:24.690", "ingestTimestamp" : "2026-06-14T20:03:29.222", "mongoId" : "6a2c913074d8ee00a098232a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170000, "salaryAnnualMax" : 190000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c93e974d8ee00a0989412", "title" : "Senior Analytics Engineer", "company" : "SolarWinds", "industry" : "Technology", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Analytics Engineer in Cork, Ireland, adjusted for the technology industry and senior experience level." }, "location" : "Cork Office", "locations" : [ "Cork Office" ], "timestamp" : "2026-06-15T21:39:56.131", "fingerprint" : "08e2fe50a2bde237290ba92232d5d6076796dbaa3ac51363acc8d30972525eac", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.solarwinds.com/job-detail/?gh_jid=4695473005&gh_jid=4695473005", "externalId" : "4695473005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cork", "country" : "Ireland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.8985136,-8.4726423" } ], "locationText" : "Cork, Ireland", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "rawDescription" : "At SolarWinds, we’re a people-first company. Our purpose is to enrich the lives of the people we serve—including our employees, customers, shareholders, partners, and communities. Join us in our mission to help customers accelerate business transformation with simple, powerful, and secure solutions. The ideal candidate thrives in an innovative, fast-paced environment and is collaborative, accountable, ready, and empathetic. We’re looking for individuals who believe they can accomplish more as a team and create lasting growth for themselves and others. We hire based on attitude, competency, and commitment. Solarians are ready to advance our world-class solutions in a fast-paced environment and accept the challenge to lead with purpose. If you’re looking to build your career with an exceptional team, you’ve come to the right place. Join SolarWinds and grow with us! ROLE OVERVIEW As a Senior Analytics Engineer, you will own end-to-end analytics delivery — from well-governed dbt data models through to polished Tableau dashboards or AI solutions consumed by business leaders across Revenue, Customer Success, and Product. This is a high-impact individual contributor role with balanced accountability across transformation and delivery. You'll spend roughly half your time on dbt model development and half on Tableau dashboard delivery and business stakeholder engagement — the bridge between our Analytics Engineering platform and the business teams who rely on it. You'll collaborate closely with our AE community in Austin and the Philippines, aligning data models and metrics to real business requirements. The right candidate is equally comfortable writing production-grade dbt SQL and sitting with a senior stakeholder to translate a business question into a data product. You bring craft to both sides of that equation. This is a highly autonomous role within a rapidly evolving analytics function. Success will require curiosity, initiative and the ability to bring structure, energy, and innovative thinking to ambiguous problem. KEY RESPONSIBILITIES Design, build, and maintain dbt data models (Staging, Intermediate, Mart layers) following SolarWinds modelling standards, with a focus on consumption-ready, well-tested data products Deliver high-quality Tableau dashboards and self-serve analytics assets for business teams across Revenue, Customer Success, Finance, and Product — from requirements through to stakeholder sign-off Own the Tableau-to-dbt integration layer: consume MetricFlow semantic layer definitions in Tableau Cloud, ensuring metrics are consistent, governed, and aligned with company-wide standards Partner directly with stakeholders across assigned business domains to translate ambiguous business problems into scalable analytical solutions, proactively identifying gaps in requirements, aligning stakeholders, and driving clarity on metrics, logic and desired outcomes Champion data quality — write dbt tests, enforce delivery SLAs, and embed lineage documentation as standard practice Lead and run CI/CD processes for your dbt models — branch-based development, PR reviews, and automated test gates Support and mentor junior and mid-level analysts, promoting best practices in SQL, dbt modelling, and Tableau development Contribute to the rollout of self-serve analytics enablement programmes for business users, reducing dependency on direct analyst requests REQUIRED SKILLS & EXPERIENCE 5+ years of experience in analytics engineering, business intelligence, or a related data role Production-grade dbt experience (dbt Core or dbt Cloud) — you've designed and maintained multi-layer models at scale, written macros, and contributed to shared packages Advanced Tableau expertise – including development or performant, governed and user-friendly analytical solutions integrated with modern semantic layer & with the ability to clearly explain modelling, metric and design decisions with stakeholders Python proficiency for analytics use cases — data wrangling, scripting, custom dbt macros, or exploratory analysis Strong SQL fundamentals — complex analytical queries, window functions, CTEs, aggregations, and query performance awareness Experience with a modern cloud data warehouse (BigQuery, Snowflake, or Redshift) including understanding of materialisation and performance trade-offs Git and branch-based development workflows — you treat analytics code with software engineering discipline CI/CD experience in a data context — dbt test gates, PR-triggered runs, or equivalent pipeline automation Solid understanding of data modelling concepts — star schema, slowly changing dimensions, metric normalisation Strong communication skills — you can present data findings to non-technical audiences and translate vague business questions into clear model briefs NICE TO HAVE Hands-on MetricFlow or dbt Semantic Layer experience in a production environment Familiarity with the Tableau + dbt Cloud connector (Tableau 2025.2+) for semantic layer consumption Familiarity with Salesforce or NetSuite as source systems Experience in a SaaS or recurring revenue business — ARR, churn, expansion, and NRR metrics Exposure to Dataplex, Fivetran, or similar data cataloguing and ELT tooling Experience with next-generation self-serve BI platforms (Omni, Looker, ThoughtSpot) — we are actively evaluating alongside Tableau Working knowledge of GDPR data residency requirements in an analytics context Comfort using AI coding assistants and LLM-based tools in analytics workflows SolarWinds is an Equal Employment Opportunity Employer. SolarWinds will consider all qualified applicants for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, marital status, disability, veteran status or any other characteristic protected by law. All applications are treated in accordance with the SolarWinds Privacy Notice: https://www.solarwinds.com/applicant-privacy-notice", "summaryDescription" : "Senior Analytics Engineer at SolarWinds", "postedDate" : "2026-06-14T20:46:12.520", "createdAt" : "2026-06-14T20:46:12.520", "lastUpdated" : "2026-06-15T21:39:56.131", "ingestTimestamp" : "2026-06-14T20:46:12.520", "mongoId" : "6a2c93e974d8ee00a0989412", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3056caf292fd229cf2ec11", "title" : "Analytics Engineer", "company" : "Dashlane", "industry" : "SaaS", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Analytics Engineer in Paris, France, adjusted for mid-seniority in the technology industry." }, "location" : "Paris, France", "locations" : [ "Paris", "France" ], "timestamp" : "2026-06-16T08:18:32.514", "fingerprint" : "fff1cba27d816a1cae570db6f050f666615963834c8e243aa36d1b19925db66b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dashlane/jobs/7988501", "externalId" : "7988501", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Paris", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8534951,2.3483915" } ], "locationText" : "Paris, France", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, Dbt, AWS, Redshift, S3, Lambda, Kinesis, Glue, Airflow, GitLab, Claude Code", "professionalSkills" : [ "Data modeling", "Data transformation", "AI integration" ], "hardSkillsList" : [ "Data analysis", "Business intelligence", "AI tooling" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "AI tooling", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Analytics engineering, AI implementation", "majorSkillsList" : [ "Data engineering", "Analytics engineering", "AI implementation" ], "coreResponsibilities" : "Uncover true business need, Drive alignment on initiatives, Take ownership of initiatives, Integrate GenAI tooling, Accelerate development with AI, Mentor organisation on AI tools", "teamCollaboration" : "Collaborative team environment", "domainKnowledge" : "Credential security", "domainList" : [ "credential-security" ], "domainSpecificKnowledge" : [ "Credential security" ], "toolProficiency" : [ "Dbt", "Airflow", "GitLab", "Claude Code" ], "continuousLearning" : "Value learning", "innovationCreativity" : "Drive innovation", "problemSolvingSkills" : "Untangle complex data puzzles", "outcomesObjectives" : "Drive efficiency with AI; Drive creativity with AI; Drive impact with AI", "qualificationsBasic" : "Fluent in English, 5+ years experience", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "About Dashlane Dashlane’s mission is to deliver the credential security every business and employee needs to thrive. Millions of consumers, and over 25,000 brands worldwide, such as Michelin, Air France, and Forrester, trust Dashlane for industry-leading innovations, patented zero-knowledge security, and an unmatched user experience. Founded in Paris, Dashlane has since established offices in New York and Lisbon, and has grown to more than 300 Dashlaners globally. We're looking for people who actively use AI tools to drive efficiency, creativity, and impact in their work. At Dashlane, we drive innovation and value learning, strive for excellence in everything we do, and thrive as one team. Learn more about life at Dashlane, including how we work, how we hire, and the benefits of being a Dashlaner. About the role: At Dashlane, we believe that data is an engine of growth and the voice of our customer. We are looking for a Analytics Engineer to join our collaborative and impact-driven Data you uncover the true business need, drive alignment, and take proactive ownership of initiatives from end to end. You are an \"AI Champion.\" You are fluent with AI coding platforms such as Claude Code and you already have demonstrated experience integrating modern GenAI tooling into your day-to-day analytics workflow to accelerate development, and you are eager to mentor the rest of the organisation on these tools. You thrive in an autonomous, high-exposure environment and have a relentless curiosity to untangle complex data puzzles. You are fluent in English: verbal and written. Our Tech Stack: Data Modeling & Transformation: dbt Programming Languages: SQL, Python Data Platform: AWS (Redshift, S3, Lambda, Kinesis, Glue) BI & Visualisation: Omni Orchestration: Airflow CI/CD & Version Control: GitLab AI: Claude Code What Dashlane offers you: Flex Benefits - allocate a monthly amount to a pool of benefits Health insurance covered by Dashlane 5 extra vacation days each year, plus your birthday off Company wide well-being days (one per quarter) Equal Parental leave - up to 20 weeks fully paid leave, within the first year of birth or adoption Work schedule exemption - plan your work schedule in alignment with your manager Donation matching program - Dashlane will match your donations to organizations driving positive impact in historically marginalized communities Access mental health services through Spring Health, available for you and your family members Team building & social events - weekly lunch in the office and monthly happy hour and much more Diversity, Equity, Inclusion and Belonging at Dashlane: As a truly international company—founded in France and distributed across France, US and Portugal—Dashlane thrives off diverse perspectives. We value all aspects of diversity: gender identity, sexual orientation, ability, ethnic origin, social background, age, lifestyle, and more. We are committed to hiring a diverse community and fostering a culture where everyone is heard and belongs. See more about this here. Your interview experience: To know what to expect once you’ve sent your application, read about how we interview and hire at Dashlane. Feel free to browse our blog to find more information about our product and how we work.", "summaryDescription" : "Analytics Engineer at Dashlane. Skills: Data engineering, Analytics engineering, AI implementation. Uncover true business need. Drive alignment on initiatives", "postedDate" : "2026-06-15T23:20:00.195", "createdAt" : "2026-06-15T23:20:00.195", "lastUpdated" : "2026-06-16T08:18:32.514", "ingestTimestamp" : "2026-06-15T23:20:00.195", "mongoId" : "6a3056caf292fd229cf2ec11", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Business intelligence", "AI tooling", "Data engineering", "Analytics engineering", "AI implementation", "Data modeling", "Data transformation", "AI integration", "Credential security", "Dbt", "Airflow", "GitLab", "Claude Code" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ccf6674d8ee00a0a2e122", "title" : "Senior Analytics Engineer", "company" : "HDR", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for Senior Analytics Engineer in Omaha, adjusted for industry and company size." }, "location" : "United States-Nebraska-Omaha", "locations" : [ "United States-Nebraska-Omaha" ], "timestamp" : "2026-06-16T02:29:50.015", "fingerprint" : "63703d56bde84cdabcee1216142bad37e4343f11766be5158c8dd3917f6c77e7", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=783240", "externalId" : "783240", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Omaha", "state" : "Nebraska", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.2587459,-95.9383758" } ], "locationText" : "Omaha, Nebraska, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Dbt Cloud, Dbt Core, Git", "professionalSkills" : [ "Analytics modeling", "Data governance", "Metric definition", "Semantic layer design" ], "hardSkillsList" : [ "Analytics modeling", "Data governance", "Metric definition", "Semantic layer design", "Testing strategies", "Documentation conventions", "CI/CD implementation" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Analytics modeling", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Metric definition", "level" : "intermediate" }, { "name" : "Semantic layer design", "level" : "intermediate" }, { "name" : "Testing strategies", "level" : "intermediate" }, { "name" : "Documentation conventions", "level" : "intermediate" }, { "name" : "CI/CD implementation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Analytics engineering, Data modeling, Data governance", "majorSkillsList" : [ "Analytics engineering", "Data modeling", "Data governance" ], "coreResponsibilities" : "Lead design of complex analytics, Standardize patterns and conventions across projects, Establish modeling standards for marts/semantic layers, Define and maintain metric/KPI governance practices, Develop reusable macros and shared packages, Standardize common modeling patterns, Define and enforce testing strategies, Define documentation conventions, Implement CI/CD checks for analytics models, Enforce review discipline, Partner with business stakeholders to validate definitions, Ensure analytics deliver measurable value, Mentor analytics engineers, Review work for correctness, Review work for maintainability, Review work for clarity, Drive adoption of documentation practices, Drive adoption of lineage practices, Drive adoption of discoverability practices, Reduce support load", "teamCollaboration" : "Partner with business stakeholders", "toolProficiency" : [ "Dbt Cloud", "Dbt Core", "Git" ], "documentationSkills" : "Documentation conventions; Documentation practices", "outcomesObjectives" : "Ensure analytics deliver measurable value", "qualificationsBasic" : "Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or equivalent practical experience, Minimum 5 years of analytics or data experience, Demonstrated ownership of complex analytical models, Strong SQL proficiency, Experience with governed analytics delivery practices", "qualificationsPreferred" : "In depth experience with dbt Cloud or dbt Core with Git integration, Experience implementing enterprise-wide metric programs or shared semantic layers, Experience with governance practices for documentation, lineage, and change management", "remoteFriendly" : false, "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. In the role of Senior Analytics Engineer, we'll count on you to: •Lead design of complex analytics domains; standardize patterns and conventions across projects. •Establish modeling standards for marts/semantic layers that maximize reuse and minimize ambiguity. •Define and maintain metric/KPI governance practices. •Develop reusable macros and shared packages to standardize common modeling patterns. •Define and enforce testing strategies (coverage, severity, release gates) and documentation conventions. •Implement CI/CD checks for analytics models (build/test/docs) and enforce review discipline. •Partner with business stakeholders to validate definitions and ensure analytics deliver measurable value. •Mentor analytics engineers and review work for correctness, maintainability, and clarity. •Drive adoption of documentation, lineage, and discoverability practices to reduce support load. Preferred Qualifications •In depth experience with dbt Cloud or dbt Core with Git integration. •Experience implementing enterprise-wide metric programs or shared semantic layers. •Experience with governance practices for documentation, lineage, and change management. Required Qualifications •Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or equivalent practical experience. •Minimum 5 years of analytics or data experience with demonstrated ownership of complex analytical models. •Strong SQL proficiency and experience with governed analytics delivery practices.", "summaryDescription" : "Senior Analytics Engineer at HDR. Skills: Analytics engineering, Data modeling, Data governance. Lead design of complex analytics. Standardize patterns and conventions across projects", "createdAt" : "2026-06-14T19:43:11.224", "lastUpdated" : "2026-06-16T02:29:50.015", "ingestTimestamp" : "2026-06-14T19:43:11.224", "mongoId" : "6a2ccf6674d8ee00a0a2e122", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Analytics modeling", "Data governance", "Metric definition", "Semantic layer design", "Testing strategies", "Documentation conventions", "CI/CD implementation", "Mentoring", "Analytics engineering", "Data modeling", "Dbt Cloud", "Dbt Core", "Git" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307fd3f292fd229c05e93b", "title" : "Senior Information Systems Engineer (Endpoint Systems)", "company" : "Zscaler", "industry" : "Cybersecurity", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Information Systems Engineer in San Jose, United States, adjusted for seniority and technology industry." }, "location" : "San Jose, California, USA", "locations" : [ "San Jose", "California", "USA" ], "timestamp" : "2026-06-16T12:58:55.746", "fingerprint" : "2073a96a8cddec106ffb24709d48edba0448af4c0c072f8f78402115df534448", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/zscaler/jobs/5165140007", "externalId" : "5165140007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Jose", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.3361663,-121.8905910" } ], "locationText" : "San Jose, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. Role We are looking for a Senior Information Systems Engineer (Endpoint Systems) to join our team. This is a hybrid (3 days in office) role, reporting to the Manager, End User Engineering in the IT Digital Employee Experience (DEX) organization. This role designs, engineers, and operationalizes Zscaler’s secure, cloud-first end-user computing environment across Windows, macOS, BYOD, and mobile (iOS/Android)—ensuring endpoints are secure, compliant, resilient, and scalable. You will connect DEX strategy to execution by leading automation, self-service, and zero-touch provisioning initiatives, integrating core platforms, and serving as a senior technical escalation point to improve productivity, reduce risk, and modernize the end-user experience in a Zero Trust environment. What you’ll do (Role Expectations) Contribute to and execute endpoint strategy and future-state architecture across Windows, macOS, BYOD, and mobile Engineer and operate endpoint lifecycle capabilities (zero-touch deployment, configuration, compliance, secure decommissioning) Lead automation and self-healing remediation using scripting and API-driven workflows to reduce operational load Integrate and optimize endpoint management and security platforms (Workspace ONE/Omnissa, Intune, Jamf, Automox, CrowdStrike, Okta/Entra, ServiceNow/Jira) Drive endpoint security posture, patching, vulnerability remediation, and audit readiness; act as an L4 escalation point with RCA and durable fixes Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We’re Looking for (Minimum Qualifications) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 6+ years in enterprise endpoint/EUC engineering in cloud-first, digital-first environments Proficiency in managing enterprise environments using Workspace ONE (Omnissa), Intune (MEM), or Jamf, with a strong focus on zero-touch deployment and end-to-end device lifecycle management Experience operationalizing endpoint security (e.g., CrowdStrike), driving vulnerability remediation, and managing fleet-wide patching (e.g., Automox) to uphold a strict Zero Trust security posture Advanced PowerShell/Python/shell with demonstrated API-driven integrations/workflows across IT, Security, identity, and ITSM, alongside experience supporting FedRAMP/regulated audit workflows with U. S. citizenship required What Will Make You Stand Out (Preferred Qualifications) Experience implementing AI-powered endpoint analytics, predictive self-healing scripts, or intelligent automation to proactively optimize DEX outcomes Hands-on proficiency with Workspace ONE (Omnissa) and Automox for end-to-end endpoint lifecycle management, including large-scale patching/vulnerability remediation Exposure to AIOps, VDI / Desktop as a Service, and mature self-service programs with measurable outcomes #LI-YC2 #LI-Hybrid Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $134,000—$167,500 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.", "summaryDescription" : "Senior Information Systems Engineer (Endpoint Systems) at Zscaler", "postedDate" : "2026-06-16T01:19:29.705", "createdAt" : "2026-06-16T01:19:29.705", "lastUpdated" : "2026-06-16T12:58:55.746", "ingestTimestamp" : "2026-06-16T01:19:29.705", "mongoId" : "6a307fd3f292fd229c05e93b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305b67f292fd229cf5d4fc", "title" : "Director, Insights and Analytics", "company" : "Dyne Therapeutics", "industry" : "Biotech", "salary" : { "min" : 190000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Waltham, Massachusetts, United States", "locations" : [ "Waltham", "Massachusetts", "United States" ], "timestamp" : "2026-06-16T08:31:17.425", "fingerprint" : "59f22a5765c588850e3ab8950630ad9bde5cc8895614c342afcde66b49a10ae1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dynetherapeutics/jobs/6020363004", "externalId" : "6020363004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Waltham", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3762385,-71.2355644" } ], "locationText" : "Waltham, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, R, SQL, JMP, Spotfire", "professionalSkills" : [ "Statistical analysis", "Data analysis", "Data visualization" ], "hardSkillsList" : [ "Statistical modeling", "Experimental design" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" } ], "majorSkills" : "Statistical modeling, Data analysis", "majorSkillsList" : [ "Statistical modeling", "Data analysis" ], "coreResponsibilities" : "Analyze experimental data, Develop statistical models, Design experiments, Generate reports, Communicate findings", "teamCollaboration" : "Research and Development teams; Cross-functional teams", "domainKnowledge" : "Biotechnology; Drug discovery", "domainList" : [ "biotechnology", "drug-discovery" ], "domainSpecificKnowledge" : [ "Biotechnology", "Drug discovery" ], "toolProficiency" : [ "JMP", "Spotfire", "R", "Python", "SQL" ], "communicationSkills" : "Written reports; Oral presentations", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Data interpretation; Troubleshooting", "qualificationsBasic" : "5+ years experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, PhD preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Company Overview: Dyne Therapeutics is focused on delivering functional improvement for people living with genetically driven neuromuscular diseases. We are developing therapeutics that target muscle and the central nervous system (CNS) to address the root cause of disease. The company is advancing clinical programs for Duchenne muscular dystrophy (DMD) and myotonic dystrophy type 1 (DM1) as well as a preclinical programs for facioscapulohumeral muscular dystrophy (FSHD) and Pompe disease. At Dyne, we are on a mission to deliver functional improvement for individuals, families and communities. Learn more at https://www.dyne-tx.com/, and follow us on X, LinkedIn and Facebook. Role Summary: The Director, Insights and Analytics leads the generation of actionable market, customer, and data-driven insights to inform commercial strategy and execution across Dyne’s portfolio of assets in clinical development for rare neuromuscular diseases. This role integrates forecasting, market research, competitive intelligence, and advanced analytics to shape strategic decisions, optimize go-to-market planning, and enable organizational alignment. The Director serves as a strategic partner across cross-functional teams, translating complex data into clear, impactful recommendations that drive business outcomes. This role is based in Waltham, MA. Primary Responsibilities Include: Forecasting and Strategic Planning Lead development of long-range global forecasting models and scenario planning tools to project product uptake, access, and revenue Evaluate and enhance forecasting methodologies to improve accuracy, scalability, and agility Synthesize inputs across multiple data sources (e.g., market research, competitive intelligence, analogs) to validate assumptions and inform projections Support long-range planning, lifecycle management, and commercial assessments for pipeline and business development opportunities Partner with commercial operations and finance to guide operational forecasting and annual planning processes (AOP/budgeting) Serve as a strategic advisor to cross-functional stakeholders across Brand, Market Access, Finance, Supply, Trade, and IT Market Research and Insights Generation Design and execute global insights generation plans leveraging primary and secondary market research Manage end-to-end market research processes, including RFP development, vendor selection, and project execution Translate research findings into clear, actionable insights and strategic recommendations for senior leadership Ensure all research activities comply with data governance, privacy standards, and relevant external engagement policies Build strong partnerships with internal stakeholders to align insights with business priorities Competitive Intelligence Lead competitive intelligence strategy and analysis for key therapeutic areas, assessing market dynamics and competitive positioning Oversee execution of competitive intelligence activities, including monitoring, reporting, ad hoc analyses, and congress intelligence Deliver timely, actionable insights to inform go-to-market strategies, product development, and positioning Develop executive-ready materials and briefings to support leadership decision-making Represent the organization as the primary point of contact for competitive intelligence and at key congresses Commercial Data Analytics and Capability Building Expand and optimize the organization’s data ecosystem, including evaluation and integration of new data sources and tools Lead development of dashboards, KPIs, and performance tracking frameworks to enable data-driven decision-making Apply advanced analytics, statistical modeling, and trend analysis to generate insights from internal and external data Translate complex data into compelling narratives and recommendations that influence business action Educate stakeholders on data tools, dashboards, and data literacy to drive adoption and impact Ensure adherence to data governance, compliance, and privacy standards Education and Skills Requirements: Bachelor’s degree required; advanced degree (MBA, PhD, PharmD) preferred 10+ years of experience in forecasting, market research, competitive intelligence, and/or data analytics within biotech or pharmaceutical environments Experience supporting product launches and/or rare disease markets preferred Strong understanding of regulatory and compliance considerations related to market research and data usage in pharma/biotech Demonstrated ability to synthesize complex data and communicate insights clearly to diverse audiences, including senior leadership Exceptional data storytelling skills with expertise in translating insights into impactful presentations and recommendations Proven ability to lead through influence in a cross-functional, matrixed environment Experience managing external vendors, including negotiation, scope management, and performance oversight Strong business acumen with the ability to connect insights to strategic and operational decisions Ability to operate effectively in a fast-paced, dynamic environment while managing multiple priorities Demonstrates high standards of professionalism, integrity, and accountability #LI-Onsite MA Pay Range $190,000—$240,000 USD The pay range reflects the base pay range Dyne reasonably expects to pay for this role at the time of posting. Individual compensation depends on factors such as education, experience, job-related knowledge, and demonstrated skills. The statements contained herein reflect general details as necessary to describe the principles functions for this job, the level of knowledge and skill typically required, and the scope of responsibility, but should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences or relief, to equalize peak work periods or otherwise balance workload. Dyne Therapeutics is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.", "summaryDescription" : "Director, Insights and Analytics at Dyne Therapeutics. 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As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe building engineering is more than systems and structures, it’s about powering progress and enabling innovation. As part of HDR’s Building Engineering Services Group, you’ll help design the critical infrastructure that supports the digital age and shapes the spaces where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your work will directly support technological advancement, sustainability, and human experience. We bring together mechanical, electrical, structural, and civil engineering experts to solve complex design challenges with precision, creativity, and collaboration. Whether you're optimizing energy efficiency, integrating resilient systems, or engineering the backbone of next-generation facilities, your contributions will help define the future of the built environment. This isn’t just a job, it’s a chance to lead innovation, engineer impact, and build a legacy of excellence. In the role of Senior Control Systems Engineer, we'll count on you to: Perform complex assignments exercising judgment in evaluation, selection and modification of standard engineering techniques and procedures Coordinate control system discipline staff workload through design development and construction document phases to complete documents on schedule Review control systems documents for areas of conflict with all disciplines Write and edit instrumentation and controls systems specifications, and select equipment and monitoring/control devices Develop biddable and technically accurate SCADA / Control Systems construction documents including P&IDs, network architecture diagrams, control panel layouts and wiring diagrams, installation details, loop drawings, and technical specifications. Coordinate with and assist affected disciplines with addenda, RFIs, CPRs and change orders, and take responsibility to incorporate agreed-upon changes into the project documents Make decisions on significant design and engineering procedures as needed Supervise and develop a small staff of professionals and technicians as needed Provide construction contract administration as needed Lead or support SCADA and network Master Planning projects as needed Travel to client facilities to participate in field activities to assess and document the current state of installed control systems. Participate in and lead design review and planning meetings with the client. Lead the development of preliminary engineering reports and studies focused on recommending and developing solutions for improvements to client control systems. Serve as Engineer of Record in responsible charge for the development of biddable and technically accurate control system construction documents. Interface with Electrical, Process, and Cybersecurity specialists to fully coordinate design requirements for network, power, control, and instrumentation. Lead the selection and specification of facility and process instrumentation, control panels, and network equipment. Lead the development of biddable and technically accurate control system construction documents including P&IDs, process flow diagrams, network architecture diagrams, control panel layouts and wiring diagrams, installation details, loop drawings, and technical specifications. Participate in system testing and commissioning activities. Coordinate with project manager and section manager to update workplans for control systems staff assigned to your project, and to track budget and schedule performance for the control systems team. Participate in joint scoping and proposal development working with clients and marketing staff. Participate in the planning and specification of applied technology solutions including instrumentation and control, advanced automation and control, artificial intelligence, networking, data management & analytics, augmented reality, and vision control. Provide Quality Control (QC) reviews of control system designs. Contribute to Control System Technical Leadership Team and drive corporate initiatives for quality and strategic growth within the Control Systems Discipline. Active participation in industry professional societies to contribute to the development of standards, participate in the development and delivery of presentations and whitepapers at industry trade shows and conferences, and develop article content for general industry and market sector specific newsletters and periodicals. Preferred Qualifications A minimum of 10 years experience designing Control Systems, including schematics and loops. Previous work experience with an A&E/Consulting Engineering firm. We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) Montana: %24113,782- %24162,545", "summaryDescription" : "Senior Control Systems Engineer at HDR. Skills: Control Systems Engineering, SCADA Systems, Network Architecture. Perform complex assignments. 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As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe building engineering is more than systems and structures, it’s about powering progress and enabling innovation. As part of HDR’s Building Engineering Services Group, you’ll help design the critical infrastructure that supports the digital age and shapes the spaces where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your work will directly support technological advancement, sustainability, and human experience. We bring together mechanical, electrical, structural, and civil engineering experts to solve complex design challenges with precision, creativity, and collaboration. Whether you're optimizing energy efficiency, integrating resilient systems, or engineering the backbone of next-generation facilities, your contributions will help define the future of the built environment. This isn’t just a job, it’s a chance to lead innovation, engineer impact, and build a legacy of excellence. In the role of Senior Control Systems Engineer, we'll count on you to: Perform complex assignments exercising judgment in evaluation, selection and modification of standard engineering techniques and procedures Coordinate control system discipline staff workload through design development and construction document phases to complete documents on schedule Review control systems documents for areas of conflict with all disciplines Write and edit instrumentation and controls systems specifications, and select equipment and monitoring/control devices Develop biddable and technically accurate SCADA / Control Systems construction documents including P&IDs, network architecture diagrams, control panel layouts and wiring diagrams, installation details, loop drawings, and technical specifications. Coordinate with and assist affected disciplines with addenda, RFIs, CPRs and change orders, and take responsibility to incorporate agreed-upon changes into the project documents Make decisions on significant design and engineering procedures as needed Supervise and develop a small staff of professionals and technicians as needed Provide construction contract administration as needed Lead or support SCADA and network Master Planning projects as needed Travel to client facilities to participate in field activities to assess and document the current state of installed control systems. Participate in and lead design review and planning meetings with the client. Lead the development of preliminary engineering reports and studies focused on recommending and developing solutions for improvements to client control systems. Serve as Engineer of Record in responsible charge for the development of biddable and technically accurate control system construction documents. Interface with Electrical, Process, and Cybersecurity specialists to fully coordinate design requirements for network, power, control, and instrumentation. Lead the selection and specification of facility and process instrumentation, control panels, and network equipment. Lead the development of biddable and technically accurate control system construction documents including P&IDs, process flow diagrams, network architecture diagrams, control panel layouts and wiring diagrams, installation details, loop drawings, and technical specifications. Participate in system testing and commissioning activities. Coordinate with project manager and section manager to update workplans for control systems staff assigned to your project, and to track budget and schedule performance for the control systems team. Participate in joint scoping and proposal development working with clients and marketing staff. Participate in the planning and specification of applied technology solutions including instrumentation and control, advanced automation and control, artificial intelligence, networking, data management & analytics, augmented reality, and vision control. Provide Quality Control (QC) reviews of control system designs. Contribute to Control System Technical Leadership Team and drive corporate initiatives for quality and strategic growth within the Control Systems Discipline. Active participation in industry professional societies to contribute to the development of standards, participate in the development and delivery of presentations and whitepapers at industry trade shows and conferences, and develop article content for general industry and market sector specific newsletters and periodicals. Preferred Qualifications A minimum of 10 years experience designing Control Systems, including schematics and loops. Previous work experience with an A&E/Consulting Engineering firm. 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client facilities, Participate in field activities, Assess current state of control systems, Document current state of control systems, Participate in design review meetings, Lead design review meetings, Participate in planning meetings, Lead planning meetings, Lead development of preliminary engineering reports, Lead development of studies, Recommend solutions for improvements, Develop solutions for improvements, Serve as Engineer of Record, Interface with Electrical specialists, Interface with Process specialists, Interface with Cybersecurity specialists, Coordinate design requirements, Lead selection of facility instrumentation, Lead selection of process instrumentation, Lead selection of control panels, Lead selection of network equipment, Lead development of control system construction documents, Lead development of P&IDs, Lead development of process flow diagrams, Lead development of network architecture diagrams, Lead development of control panel layouts, Lead development of wiring diagrams, Lead development of installation details, Lead development of loop drawings, Lead development of technical specifications, Participate in system testing, Participate in commissioning activities, Coordinate with project manager, Coordinate with section manager, Update workplans for control systems staff, Track budget performance for control systems team, Track schedule performance for control systems team, Participate in joint scoping, Participate in proposal development, Specify applied technology solutions, Provide Quality Control (QC) reviews, Contribute to Control System Technical Leadership Team, Drive corporate initiatives for quality, Drive corporate initiatives for strategic growth, Active participation in industry professional societies, Contribute to development of standards, Participate in development of presentations, Deliver presentations at industry trade shows, Deliver presentations at industry conferences, Develop article content for newsletters, Develop article content for periodicals, Perform complex assignments, Coordinate workload through development, Coordinate workload through testing, Coordinate workload through construction, Conduct systems integration of SCADA systems, Program PLCs, Program PCs, Customize HMI, Review electrical documents", "teamCollaboration" : "Cross-functional teams; Electrical, Process, Cybersecurity specialists", "projectManagementSkills" : [ "Workplans", "Budget tracking", "Schedule performance" ], "domainKnowledge" : "Operational Technology Systems; Critical infrastructure; Building Management System; Control Systems Cybersecurity; ISA 62443; DoD RMF; ISO; NERC/FERC", "domainList" : [ "operational-technology-systems", "critical-infrastructure", "building-management-system", "control-systems-cybersecurity", "isa-62443", "dod-rmf", "iso", "nerc-ferc" ], "domainSpecificKnowledge" : [ "Operational Technology Systems", "Critical infrastructure", "Building Management System", "Control Systems Cybersecurity", "ISA 62443", "DoD RMF", "ISO", "NERC/FERC" ], "toolProficiency" : [ "Wireshark", "Intrusion Detection Systems" ], "communicationSkills" : "Technical writing; Presentations; Whitepapers; Article content", "documentationSkills" : "P&IDs; Network architecture diagrams; Control panel layouts; Wiring diagrams; Installation details; Loop drawings; Technical specifications", "continuousLearning" : "Tuition reimbursement", "innovationCreativity" : "Novel ideas", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "specialRequirements" : "Travel to client facilities", "qualificationsBasic" : "10+ years experience designing cybersecurity mitigations, 10+ years experience in network design, 10+ years experience in system configuration, 10+ years of experience working in critical infrastructure, Experience leading control systems vulnerability assessments, Previous work experience with an A&E/Consulting Engineering firm, Master's degree in Mechanical Engineering, Master's degree in Electrical Engineering, Master's degree in Computer Engineering, Master's degree in related field", "qualificationsPreferred" : "Data Center experience a plus, Direct Digital Control (DDC) programming experience a plus, Internet of Things (IoT) knowledge and experience a plus, IT experience/certifications in networking, IT experience/certifications in encryption, IT experience/certifications in programming, IT experience/certifications in scripting, IT experience/certifications in database design, IT experience/certifications in Cybersecurity Standards", "remoteFriendly" : false, "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. In the role of Senior Control Systems Engineer , we'll count on you to: Planning and Design Roles: Perform complex assignments exercising judgment in evaluation, selection and modification of standard engineering techniques and procedures Coordinate control system discipline staff workload through design development and construction document phases to complete documents on schedule Review control systems documents for areas of conflict with all disciplines Write and edit instrumentation and controls systems specifications, and select equipment and monitoring/control devices Develop biddable and technically accurate SCADA / Control Systems construction documents including P&IDs, network architecture diagrams, control panel layouts and wiring diagrams, installation details, loop drawings, and technical specifications. Coordinate with and assist affected disciplines with addenda, RFIs, CPRs and change orders, and take responsibility to incorporate agreed-upon changes into the project documents Make decisions on significant design and engineering procedures as needed Supervise and develop a small staff of professionals and technicians as needed Provide construction contract administration as needed Lead or support SCADA and network Master Planning projects as needed Travel to client facilities to participate in field activities to assess and document the current state of installed control systems. Participate in and lead design review and planning meetings with the client. Lead the development of preliminary engineering reports and studies focused on recommending and developing solutions for improvements to client control systems. Serve as Engineer of Record in responsible charge for the development of biddable and technically accurate control system construction documents. Interface with Electrical, Process, and Cybersecurity specialists to fully coordinate design requirements for network, power, control, and instrumentation. Lead the selection and specification of facility and process instrumentation, control panels, and network equipment. Lead the development of biddable and technically accurate control system construction documents including P&IDs, process flow diagrams, network architecture diagrams, control panel layouts and wiring diagrams, installation details, loop drawings, and technical specifications. Participate in system testing and commissioning activities. Coordinate with project manager and section manager to update workplans for control systems staff assigned to your project, and to track budget and schedule performance for the control systems team. Participate in joint scoping and proposal development working with clients and marketing staff. Participate in the planning and specification of applied technology solutions including instrumentation and control, advanced automation and control, artificial intelligence, networking, data management & analytics, augmented reality, and vision control. Provide Quality Control (QC) reviews of control system designs. Contribute to Control System Technical Leadership Team and drive corporate initiatives for quality and strategic growth within the Control Systems Discipline. Active participation in industry professional societies to contribute to the development of standards, participate in the development and delivery of presentations and whitepapers at industry trade shows and conferences, and develop article content for general industry and market sector specific newsletters and periodicals. Systems Integration {Use for SI / Application Programming Roles}: Perform complex assignments exercising judgment in evaluation, selection and modification of standard engineering techniques and procedures Coordinate workload through development, testing, and construction phases to complete integration tasks on schedule Conduct systems integration of the SCADA systems, including programming of PLCs/PCs and HMI customizing for various control software programs Review electrical documents for areas of conflict with all disciplines Building Automation Roles: This role will be primarily focused on building management (BMS) and automated facility support systems in coordination with clients and multidiscipline teams to deliver full-service control systems solutions for construction and implementation in multiple market sectors including tech, media & telecom; healthcare, research, and life sciences. Primary responsibilities include: Leading control systems design teams to produce deliverable packages for several concurrent projects including writing/editing instrumentation and controls specifications, selecting instrumentation, developing sequence of operations, create control system drawings. Coordinating the work of the control system engineers with the balance of multi-disciplined team throughout a project's design development and construction including power coordination, panel locations, remote equipment monitoring, integration to 3rd party systems, networking, and device locations. Coordinating workload to complete documents on schedule. Tracking financial aspects of projects, coordinating, and adjusting the work effort with the team to ensure that the work is completed within budget. Conducting schematic; design development, and contract document working sessions with clients. Establishing and maintaining client relationships, participate in marketing, design and production meetings with regard to instrumentation and control systems. Acting as a mentor for junior staff members. Supporting Section Manager is preparing Proposals Provide Quality Control reviews of Control system designs Reporting project status, performance, and quality updates to the Control Systems Section Manager. Strong Leadership and presentation skills. Control Systems Cyber Engineer Roles: Provide network and system specification documentation deliverables to address cybersecurity vulnerabilities and the security controls necessary to mitigate the vulnerabilities to an acceptable level of risk Participate in project meetings and provide specification deliverables in coordination with other HDR team designers, programmers, implementers, architects, and engineers Mentor internal and external clients on networking topics Participate in control systems master planning efforts Participate in construction administration services including contractor submittal review Lead ICS network assessment tasks including network mapping and asset inventories Serve as a cross-sector ICS resource for HDR engineering project teams servicing critical infrastructure. This capability requires expertise in ICS design, development, deployment, and commissioning in a virtual/cloud environment Maintain a working knowledge of secure networking standards to include NIST-800, ISA-62443, UFC-4-010-06 and others as required by client Certifications Pursuit and Maintenance: Cybersecurity and IT network related CISSP, CISM, or GICSP. DoD IAM or IAT Level 2 Participate in pre-project system/network cybersecurity risk assessment Participate in and/or validate cybersecurity commissioning (CFAT/CSAT) or audits of ICS networks/systems Preferred Qualifications Planning and Design {Use for Design and Planning Roles}: A minimum of 10 years experience designing Control Systems, including schematics and loops. Previous work experience with an A&E/Consulting Engineering firm. Systems Integration {Use for Systems Integration / Application Programming Roles}: Master's degree in Mechanical Engineering, Chemical Engineering, Electrical Engineering, Computer Engineering, or related field. Hands-on experience designing SCADA systems, including schematics and loops. Experience with control panel design and panel wiring. Experience with instrumentation setup, configuration and calibration. A minimum of 10 years of control systems programming experience. Experience managing control systems tasks, projects and teams. Experience with startup and commissioning. Knowledge of automation hardware including but not limited to Allen-Bradley/Rockwell, Emerson/GE, Foxboro, Modicon/Schneider-Electric, and Siemens. Knowledge of HMI software including but not limited to Wonderware/AVEVA, iFix, FactoryTalk, VTScada, Ignition, Emerson Ovation, Delta V, etc. Knowledge of industrial network equipment such as network switches, industrial firewalls, radio/RTU communication, cellular modems. Previous work experience with a Systems Integration firm. Building Automation Engineer {Use for BAS/BMS roles} Master's degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, or related field. A minimum of 10 years experience designing building automation or building management systems, including schematics and loops. Experience managing control systems projects. Previous work experience with an A&E/Consulting Engineering firm. Hands on experience designing BMS systems. Must be knowledgeable of control systems and sequence of operations for building systems including Mechanical/HVAC, Electrical/Power Monitoring, Lighting, etc. Must be knowledgeable of multiple communication platforms and protocols including but not limited to BACnet, LonWorks, Modbus TCP, Modbus RTU, Ethernet-I/P. Must be knowledgeable of cybersecurity considerations in control systems. Must be knowledgeable of networks, DDC hardware/software, and HMI software used in Building Management System applications. Data Center experience a plus. Direct Digital Control (DDC) programming experience a plus. Internet of Things (IoT) knowledge and experience a plus. Control Systems Cybersecurity Engineer Roles: Master's degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, or related field. A minimum of 10 years experience designing cybersecurity mitigations for Operational Technology Systems Experience leading control systems vulnerability assessments Previous work experience with an A&E/Consulting Engineering firm. 10+ years of experience working in critical infrastructure (Federal/DoD, Oil & Gas, Chemical, Water/Wastewater, Power Generation, etc.) 10+ years of experience in network design and system configuration to include firewalls, protocols, ports, VLANs, VMs, and route configuration Data analysis experience: Wireshark PCAPs, Intrusion Detection Systems (IDS) HVAC Control Systems experience to include BACnet and IP protocols Multiple control system types (PLC based, DCS, BMS, and SIS) IT experience/certifications in networking, encryption, programming, scripting, database design, Cybersecurity Standards experience (ISA 62443, DoD RMF, ISO, NERC/FERC, etc.) Certified GICSP, CISSP, CISM or equivalent #LI-EH1 We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) {Pay Transparency Location: Columbus}: %24119,770 - %24171,100", "summaryDescription" : "Senior Control Systems Engineer at HDR. Skills: Control Systems Engineering, Cybersecurity, SCADA Systems. Perform complex assignments. Coordinate control system discipline staff workload", "createdAt" : "2026-06-15T23:08:38.023", "lastUpdated" : "2026-06-16T06:23:54.857", "ingestTimestamp" : "2026-06-15T23:08:38.023", "mongoId" : "6a305788f292fd229cf3ad93", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 119770, "salaryAnnualMax" : 171100, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Vulnerability assessments", "Network design", "System configuration", "Data analysis", "Route configuration", "Leadership", "Control Systems Engineering", "Cybersecurity", "SCADA Systems", "Systems integration", "Master Planning", "Quality Control", "Technical Leadership", "Workplans", "Budget tracking", "Schedule performance", "Operational Technology Systems", "Critical infrastructure", "Building Management System", "Control Systems Cybersecurity", "ISA 62443", "DoD RMF", "ISO", "NERC/FERC", "GICSP", "CISSP", "CISM", "Wireshark", "Intrusion Detection Systems" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305775f292fd229cf39f70", "title" : "Senior Control Systems Engineer", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 119770.0, "max" : 171100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States-Ohio-Columbus", "locations" : [ "United States-Ohio-Columbus" ], "certifications" : [ "GICSP", "CISSP", "CISM" ], "timestamp" : "2026-06-16T07:38:50.430", "fingerprint" : "6aab15f52bbf183acf0c060c5eeace92a43080c00f72cddaa9de0dd1eedc8420", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=785338", "externalId" : "785338", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Columbus", "state" : "Ohio", "country" : "United 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"Quality Control reviews", "Vulnerability assessments", "Data analysis" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Instrumentation specification", "level" : "intermediate" }, { "name" : "Equipment selection", "level" : "intermediate" }, { "name" : "Monitoring device selection", "level" : "intermediate" }, { "name" : "Network master planning", "level" : "intermediate" }, { "name" : "Field activities assessment", "level" : "intermediate" }, { "name" : "Control systems design", "level" : "intermediate" }, { "name" : "Network configuration", "level" : "intermediate" }, { "name" : "System testing", "level" : "intermediate" }, { "name" : "Commissioning activities", "level" : "intermediate" }, { "name" : "Workplan updates", "level" : "intermediate" }, { "name" : "Budget tracking", "level" : "intermediate" }, { "name" : "Schedule performance tracking", "level" : "intermediate" }, { "name" : "Proposal development", "level" : "intermediate" }, { "name" : "Applied technology specification", "level" : "intermediate" }, { "name" : "Quality Control reviews", "level" : "intermediate" }, { "name" : "Vulnerability assessments", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Control Systems Engineering, SCADA Systems, Cybersecurity, Network Design", "majorSkillsList" : [ "Control Systems Engineering", "SCADA Systems", "Cybersecurity", "Network Design" ], "coreResponsibilities" : "Perform complex assignments, Coordinate control system staff workload, Review control systems documents, Write instrumentation specifications, Edit controls systems specifications, Select equipment, Select monitoring devices, Develop SCADA construction documents, Develop Control Systems construction documents, Develop P&IDs, Develop network architecture diagrams, Develop control panel layouts, Develop wiring diagrams, Develop installation details, Develop loop drawings, Develop technical specifications, Coordinate with affected disciplines, Assist affected disciplines with addenda, Assist affected disciplines with RFIs, Assist affected disciplines with CPRs, Assist affected disciplines with change orders, Incorporate agreed-upon changes, Make decisions on design procedures, Make decisions on engineering procedures, Supervise staff, Develop staff, Provide construction contract administration, Lead SCADA Master Planning projects, Support SCADA Master Planning projects, Lead network Master Planning projects, Support network Master Planning projects, Travel to client facilities, Participate in field activities, Assess current state of control systems, Document current state of control systems, Participate in design review meetings, Lead design review meetings, Participate in planning meetings, Lead planning meetings, Lead development of preliminary engineering reports, Lead development of studies, Recommend solutions for control system improvements, Develop solutions for control system improvements, Serve as Engineer of Record, Interface with Electrical specialists, Interface with Process specialists, Interface with Cybersecurity specialists, Coordinate design requirements, Lead selection of facility instrumentation, Lead selection of process instrumentation, Lead selection of control panels, Lead selection of network equipment, Lead development of process flow diagrams, Participate in system testing, Participate in commissioning activities, Coordinate with project manager, Coordinate with section manager, Update workplans for control systems staff, Track budget performance, Track schedule performance, Participate in joint scoping, Participate in proposal development, Specify applied technology solutions, Specify instrumentation, Specify control, Specify advanced automation, Specify artificial intelligence, Specify networking, Specify data management, Specify data analytics, Specify augmented reality, Specify vision control, Provide Quality Control reviews, Contribute to Control System Technical Leadership Team, Drive corporate initiatives for quality, Drive corporate initiatives for strategic growth, Participate in industry professional societies, Contribute to development of standards, Participate in development of presentations, Participate in delivery of presentations, Participate in development of whitepapers, Participate in delivery of whitepapers, Develop article content, Perform complex integration assignments, Coordinate integration workload, Conduct systems integration of SCADA systems, Program PLCs, Program PCs, Customize HMI, Review electrical documents", "teamCollaboration" : "Cross-functional teams; Electrical, Process, Cybersecurity specialists; Project manager; Section manager; Marketing staff", "projectManagementSkills" : [ "Workplan updates", "Budget tracking", "Schedule performance tracking" ], "domainKnowledge" : "Operational Technology Systems; Critical infrastructure; Building Management System; Control Systems Cybersecurity", "domainList" : [ "operational-technology-systems", "critical-infrastructure", "building-management-system", "control-systems-cybersecurity" ], "domainSpecificKnowledge" : [ "Operational Technology Systems", "Critical infrastructure", "Building Management System", "Control Systems Cybersecurity" ], "toolProficiency" : [ "Wireshark", "Intrusion Detection Systems" ], "communicationSkills" : "Technical specifications; Presentations; Whitepapers; Article content", "documentationSkills" : "P&IDs; Network architecture diagrams; Control panel layouts; Wiring diagrams; Installation details; Loop drawings; Technical specifications; Preliminary engineering reports; Studies", "continuousLearning" : "Tuition reimbursement", "innovationCreativity" : "Novel ideas", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "specialRequirements" : "Travel to client facilities, On-call rotation", "outcomesObjectives" : "Complete documents on schedule; Complete integration tasks on schedule", "qualificationsBasic" : "10+ years experience designing cybersecurity mitigations, 10+ years experience in network design, 10+ years experience in system configuration, 10+ years of experience working in critical infrastructure, Experience leading control systems vulnerability assessments, Previous work experience with an A&E/Consulting Engineering firm, Master's degree in Mechanical Engineering, Master's degree in Electrical Engineering, Master's degree in Computer Engineering, Master's degree in related field", "qualificationsPreferred" : "Data Center experience a plus, Direct Digital Control (DDC) programming experience a plus, Internet of Things (IoT) knowledge and experience a plus, GICSP certification, CISSP certification, CISM certification", "remoteFriendly" : false, "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. In the role of Senior Control Systems Engineer , we'll count on you to: Planning and Design Roles: Perform complex assignments exercising judgment in evaluation, selection and modification of standard engineering techniques and procedures Coordinate control system discipline staff workload through design development and construction document phases to complete documents on schedule Review control systems documents for areas of conflict with all disciplines Write and edit instrumentation and controls systems specifications, and select equipment and monitoring/control devices Develop biddable and technically accurate SCADA / Control Systems construction documents including P&IDs, network architecture diagrams, control panel layouts and wiring diagrams, installation details, loop drawings, and technical specifications. Coordinate with and assist affected disciplines with addenda, RFIs, CPRs and change orders, and take responsibility to incorporate agreed-upon changes into the project documents Make decisions on significant design and engineering procedures as needed Supervise and develop a small staff of professionals and technicians as needed Provide construction contract administration as needed Lead or support SCADA and network Master Planning projects as needed Travel to client facilities to participate in field activities to assess and document the current state of installed control systems. Participate in and lead design review and planning meetings with the client. Lead the development of preliminary engineering reports and studies focused on recommending and developing solutions for improvements to client control systems. Serve as Engineer of Record in responsible charge for the development of biddable and technically accurate control system construction documents. Interface with Electrical, Process, and Cybersecurity specialists to fully coordinate design requirements for network, power, control, and instrumentation. Lead the selection and specification of facility and process instrumentation, control panels, and network equipment. Lead the development of biddable and technically accurate control system construction documents including P&IDs, process flow diagrams, network architecture diagrams, control panel layouts and wiring diagrams, installation details, loop drawings, and technical specifications. Participate in system testing and commissioning activities. Coordinate with project manager and section manager to update workplans for control systems staff assigned to your project, and to track budget and schedule performance for the control systems team. Participate in joint scoping and proposal development working with clients and marketing staff. Participate in the planning and specification of applied technology solutions including instrumentation and control, advanced automation and control, artificial intelligence, networking, data management & analytics, augmented reality, and vision control. Provide Quality Control (QC) reviews of control system designs. Contribute to Control System Technical Leadership Team and drive corporate initiatives for quality and strategic growth within the Control Systems Discipline. Active participation in industry professional societies to contribute to the development of standards, participate in the development and delivery of presentations and whitepapers at industry trade shows and conferences, and develop article content for general industry and market sector specific newsletters and periodicals. Systems Integration {Use for SI / Application Programming Roles}: Perform complex assignments exercising judgment in evaluation, selection and modification of standard engineering techniques and procedures Coordinate workload through development, testing, and construction phases to complete integration tasks on schedule Conduct systems integration of the SCADA systems, including programming of PLCs/PCs and HMI customizing for various control software programs Review electrical documents for areas of conflict with all disciplines Building Automation Roles: This role will be primarily focused on building management (BMS) and automated facility support systems in coordination with clients and multidiscipline teams to deliver full-service control systems solutions for construction and implementation in multiple market sectors including tech, media & telecom; healthcare, research, and life sciences. Primary responsibilities include: Leading control systems design teams to produce deliverable packages for several concurrent projects including writing/editing instrumentation and controls specifications, selecting instrumentation, developing sequence of operations, create control system drawings. Coordinating the work of the control system engineers with the balance of multi-disciplined team throughout a project's design development and construction including power coordination, panel locations, remote equipment monitoring, integration to 3rd party systems, networking, and device locations. Coordinating workload to complete documents on schedule. Tracking financial aspects of projects, coordinating, and adjusting the work effort with the team to ensure that the work is completed within budget. Conducting schematic; design development, and contract document working sessions with clients. Establishing and maintaining client relationships, participate in marketing, design and production meetings with regard to instrumentation and control systems. Acting as a mentor for junior staff members. Supporting Section Manager is preparing Proposals Provide Quality Control reviews of Control system designs Reporting project status, performance, and quality updates to the Control Systems Section Manager. Strong Leadership and presentation skills. Control Systems Cyber Engineer Roles: Provide network and system specification documentation deliverables to address cybersecurity vulnerabilities and the security controls necessary to mitigate the vulnerabilities to an acceptable level of risk Participate in project meetings and provide specification deliverables in coordination with other HDR team designers, programmers, implementers, architects, and engineers Mentor internal and external clients on networking topics Participate in control systems master planning efforts Participate in construction administration services including contractor submittal review Lead ICS network assessment tasks including network mapping and asset inventories Serve as a cross-sector ICS resource for HDR engineering project teams servicing critical infrastructure. This capability requires expertise in ICS design, development, deployment, and commissioning in a virtual/cloud environment Maintain a working knowledge of secure networking standards to include NIST-800, ISA-62443, UFC-4-010-06 and others as required by client Certifications Pursuit and Maintenance: Cybersecurity and IT network related CISSP, CISM, or GICSP. DoD IAM or IAT Level 2 Participate in pre-project system/network cybersecurity risk assessment Participate in and/or validate cybersecurity commissioning (CFAT/CSAT) or audits of ICS networks/systems Preferred Qualifications Planning and Design {Use for Design and Planning Roles}: A minimum of 10 years experience designing Control Systems, including schematics and loops. Previous work experience with an A&E/Consulting Engineering firm. Systems Integration {Use for Systems Integration / Application Programming Roles}: Master's degree in Mechanical Engineering, Chemical Engineering, Electrical Engineering, Computer Engineering, or related field. Hands-on experience designing SCADA systems, including schematics and loops. Experience with control panel design and panel wiring. Experience with instrumentation setup, configuration and calibration. A minimum of 10 years of control systems programming experience. Experience managing control systems tasks, projects and teams. Experience with startup and commissioning. Knowledge of automation hardware including but not limited to Allen-Bradley/Rockwell, Emerson/GE, Foxboro, Modicon/Schneider-Electric, and Siemens. Knowledge of HMI software including but not limited to Wonderware/AVEVA, iFix, FactoryTalk, VTScada, Ignition, Emerson Ovation, Delta V, etc. Knowledge of industrial network equipment such as network switches, industrial firewalls, radio/RTU communication, cellular modems. Previous work experience with a Systems Integration firm. Building Automation Engineer {Use for BAS/BMS roles} Master's degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, or related field. A minimum of 10 years experience designing building automation or building management systems, including schematics and loops. Experience managing control systems projects. Previous work experience with an A&E/Consulting Engineering firm. Hands on experience designing BMS systems. Must be knowledgeable of control systems and sequence of operations for building systems including Mechanical/HVAC, Electrical/Power Monitoring, Lighting, etc. Must be knowledgeable of multiple communication platforms and protocols including but not limited to BACnet, LonWorks, Modbus TCP, Modbus RTU, Ethernet-I/P. Must be knowledgeable of cybersecurity considerations in control systems. Must be knowledgeable of networks, DDC hardware/software, and HMI software used in Building Management System applications. Data Center experience a plus. Direct Digital Control (DDC) programming experience a plus. Internet of Things (IoT) knowledge and experience a plus. Control Systems Cybersecurity Engineer Roles: Master's degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, or related field. A minimum of 10 years experience designing cybersecurity mitigations for Operational Technology Systems Experience leading control systems vulnerability assessments Previous work experience with an A&E/Consulting Engineering firm. 10+ years of experience working in critical infrastructure (Federal/DoD, Oil & Gas, Chemical, Water/Wastewater, Power Generation, etc.) 10+ years of experience in network design and system configuration to include firewalls, protocols, ports, VLANs, VMs, and route configuration Data analysis experience: Wireshark PCAPs, Intrusion Detection Systems (IDS) HVAC Control Systems experience to include BACnet and IP protocols Multiple control system types (PLC based, DCS, BMS, and SIS) IT experience/certifications in networking, encryption, programming, scripting, database design, Cybersecurity Standards experience (ISA 62443, DoD RMF, ISO, NERC/FERC, etc.) Certified GICSP, CISSP, CISM or equivalent #LI-EH1 We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) {Pay Transparency Location: Columbus}: %24119,770 - %24171,100", "summaryDescription" : "Senior Control Systems Engineer at HDR. Skills: Control Systems Engineering, SCADA Systems, Cybersecurity, Network Design. Perform complex assignments. 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"bcb3b4f51a90f3a693b636f41e990b4bef86e5e13e5d267acf26c35c48317189", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=779171", "externalId" : "779171", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SCADA, Control Systems", "professionalSkills" : [ "System design", "Engineering procedures" ], "hardSkillsList" : [ "Instrumentation specification", "Network architecture", "Control panel design", "Wiring diagram design", "Loop drawing design", "Technical specification writing" ], "hardSkills" : [ { "name" : "Instrumentation specification", "level" : "intermediate" }, { "name" : "Network architecture", "level" : "intermediate" }, { "name" : "Control panel design", "level" : 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disciplines, Incorporate agreed-upon changes, Make decisions on design procedures, Make decisions on engineering procedures, Supervise staff, Develop staff, Provide construction contract administration, Lead SCADA Master Planning projects, Support SCADA Master Planning projects, Lead network Master Planning projects, Support network Master Planning projects, Travel to client facilities, Participate in field activities, Assess installed control systems, Document installed control systems, Participate in design meetings, Lead design meetings, Participate in planning meetings, Lead planning meetings, Lead development of reports, Lead development of studies, Serve as Engineer of Record, Interface with Electrical specialists, Interface with Process specialists, Interface with Cybersecurity specialists, Coordinate design requirements, Lead selection of instrumentation, Lead specification of instrumentation, Lead selection of control panels, Lead specification of control panels, Lead 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"Technical writing; Client presentations", "documentationSkills" : "P&IDs; Network diagrams; Wiring diagrams; Loop drawings; Technical specifications", "continuousLearning" : "Tuition reimbursement", "innovationCreativity" : "Novel ideas", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "specialRequirements" : "Travel to client facilities", "qualificationsBasic" : "10 years experience designing Control Systems, Schematics and loops experience", "qualificationsPreferred" : "Previous work experience with an A&E/Consulting Engineering firm", "remoteFriendly" : false, "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe building engineering is more than systems and structures, it’s about powering progress and enabling innovation. As part of HDR’s Building Engineering Services Group, you’ll help design the critical infrastructure that supports the digital age and shapes the spaces where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your work will directly support technological advancement, sustainability, and human experience. We bring together mechanical, electrical, structural, and civil engineering experts to solve complex design challenges with precision, creativity, and collaboration. Whether you're optimizing energy efficiency, integrating resilient systems, or engineering the backbone of next-generation facilities, your contributions will help define the future of the built environment. This isn’t just a job, it’s a chance to lead innovation, engineer impact, and build a legacy of excellence. In the role of Senior Control Systems Engineer, we'll count on you to: Perform complex assignments exercising judgment in evaluation, selection and modification of standard engineering techniques and procedures Coordinate control system discipline staff workload through design development and construction document phases to complete documents on schedule Review control systems documents for areas of conflict with all disciplines Write and edit instrumentation and controls systems specifications, and select equipment and monitoring/control devices Develop biddable and technically accurate SCADA / Control Systems construction documents including P&IDs, network architecture diagrams, control panel layouts and wiring diagrams, installation details, loop drawings, and technical specifications. Coordinate with and assist affected disciplines with addenda, RFIs, CPRs and change orders, and take responsibility to incorporate agreed-upon changes into the project documents Make decisions on significant design and engineering procedures as needed Supervise and develop a small staff of professionals and technicians as needed Provide construction contract administration as needed Lead or support SCADA and network Master Planning projects as needed Travel to client facilities to participate in field activities to assess and document the current state of installed control systems. Participate in and lead design review and planning meetings with the client. Lead the development of preliminary engineering reports and studies focused on recommending and developing solutions for improvements to client control systems. Serve as Engineer of Record in responsible charge for the development of biddable and technically accurate control system construction documents. Interface with Electrical, Process, and Cybersecurity specialists to fully coordinate design requirements for network, power, control, and instrumentation. Lead the selection and specification of facility and process instrumentation, control panels, and network equipment. Lead the development of biddable and technically accurate control system construction documents including P&IDs, process flow diagrams, network architecture diagrams, control panel layouts and wiring diagrams, installation details, loop drawings, and technical specifications. Participate in system testing and commissioning activities. Coordinate with project manager and section manager to update workplans for control systems staff assigned to your project, and to track budget and schedule performance for the control systems team. Participate in joint scoping and proposal development working with clients and marketing staff. Participate in the planning and specification of applied technology solutions including instrumentation and control, advanced automation and control, artificial intelligence, networking, data management & analytics, augmented reality, and vision control. Provide Quality Control (QC) reviews of control system designs. Contribute to Control System Technical Leadership Team and drive corporate initiatives for quality and strategic growth within the Control Systems Discipline. Active participation in industry professional societies to contribute to the development of standards, participate in the development and delivery of presentations and whitepapers at industry trade shows and conferences, and develop article content for general industry and market sector specific newsletters and periodicals. Preferred Qualifications A minimum of 10 years experience designing Control Systems, including schematics and loops. Previous work experience with an A&E/Consulting Engineering firm. We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) Montana: %24113,782- %24162,545", "summaryDescription" : "Senior Control Systems Engineer at HDR. Skills: Control Systems Engineering, SCADA Systems, Network Design. Perform complex assignments. Coordinate control system staff workload", "createdAt" : "2026-06-15T23:08:09.641", "lastUpdated" : "2026-06-16T07:08:09.643", "ingestTimestamp" : "2026-06-15T23:08:09.641", "mongoId" : "6a305799f292fd229cf3bdc7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Instrumentation specification", "Network architecture", "Control panel design", "Wiring diagram design", "Loop drawing design", "Technical specification writing", "Control Systems Engineering", "SCADA Systems", "Network Design", "System design", "Engineering procedures", "Workplan updates", "Budget tracking", "Schedule tracking", "Control Systems", "SCADA", "Applied technology solutions", "Artificial intelligence", "Augmented reality" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3076fef292fd229c020e88", "title" : "Senior Manufacturing Systems Engineer", "company" : "Carbon, Inc.", "industry" : "Manufacturing", "salary" : { "min" : 155000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for Senior Manufacturing Systems Engineer in Sunnyvale, CA, adjusted for company size and industry." }, "location" : "Sunnyvale, California, United States", "locations" : [ "Sunnyvale", "California", "United States" ], "timestamp" : "2026-06-16T10:45:24.996", "fingerprint" : "8410f654d214d7cb996293768f5fa4f8025d2833b8aea095dea4b48fab3ce69c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/carbon/jobs/5164645007", "externalId" : "5164645007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "rawDescription" : "At Carbon, our mission goes beyond 3D printing. We are enabling creators everywhere to make what the world needs, right now. Our company is built on the idea that diverse fields of study must come together to solve intractable problems. We have grand ambitions to create technology that will influence industry around the world. You will be joining a diverse team with a vibrant culture, where team success is as important as celebrating individual contributions. Help us change the world and we will help you change yours. TBD By clicking the “APPLY NOW” button and submitting your job application, you agree you have reviewed the complete Privacy Notice for Employees, Independent Contractors and Job Applicants, which explains the categories of personal information we collect about you, the purposes for which the categories of personal information shall be used and your rights with respect to our use of such personal Information.", "summaryDescription" : "Senior Manufacturing Systems Engineer at Carbon, Inc.", "postedDate" : "2026-06-16T01:20:07.892", "createdAt" : "2026-06-16T01:20:07.892", "lastUpdated" : "2026-06-16T10:45:24.996", "ingestTimestamp" : "2026-06-16T01:20:07.892", "mongoId" : "6a3076fef292fd229c020e88", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 215000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305764f292fd229cf3935d", "title" : "Senior Control Systems Engineer", "company" : "HDR", "salary" : { "min" : 119770.0, "max" : 171100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States-Ohio-Columbus", "locations" : [ "United States-Ohio-Columbus" ], "timestamp" : "2026-06-16T05:26:38.196", "fingerprint" : "79c3add9501956a52463d1239b25d4614084bc74f028743a7cec993efb5a4c9c", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=785338", "externalId" : "785338", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Columbus", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.9622601,-83.0007065" } ], "locationText" : "Columbus, Ohio, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. In the role of Senior Control Systems Engineer , we'll count on you to: Planning and Design Roles: Perform complex assignments exercising judgment in evaluation, selection and modification of standard engineering techniques and procedures Coordinate control system discipline staff workload through design development and construction document phases to complete documents on schedule Review control systems documents for areas of conflict with all disciplines Write and edit instrumentation and controls systems specifications, and select equipment and monitoring/control devices Develop biddable and technically accurate SCADA / Control Systems construction documents including P&IDs, network architecture diagrams, control panel layouts and wiring diagrams, installation details, loop drawings, and technical specifications. Coordinate with and assist affected disciplines with addenda, RFIs, CPRs and change orders, and take responsibility to incorporate agreed-upon changes into the project documents Make decisions on significant design and engineering procedures as needed Supervise and develop a small staff of professionals and technicians as needed Provide construction contract administration as needed Lead or support SCADA and network Master Planning projects as needed Travel to client facilities to participate in field activities to assess and document the current state of installed control systems. Participate in and lead design review and planning meetings with the client. Lead the development of preliminary engineering reports and studies focused on recommending and developing solutions for improvements to client control systems. Serve as Engineer of Record in responsible charge for the development of biddable and technically accurate control system construction documents. Interface with Electrical, Process, and Cybersecurity specialists to fully coordinate design requirements for network, power, control, and instrumentation. Lead the selection and specification of facility and process instrumentation, control panels, and network equipment. Lead the development of biddable and technically accurate control system construction documents including P&IDs, process flow diagrams, network architecture diagrams, control panel layouts and wiring diagrams, installation details, loop drawings, and technical specifications. Participate in system testing and commissioning activities. Coordinate with project manager and section manager to update workplans for control systems staff assigned to your project, and to track budget and schedule performance for the control systems team. Participate in joint scoping and proposal development working with clients and marketing staff. Participate in the planning and specification of applied technology solutions including instrumentation and control, advanced automation and control, artificial intelligence, networking, data management & analytics, augmented reality, and vision control. Provide Quality Control (QC) reviews of control system designs. Contribute to Control System Technical Leadership Team and drive corporate initiatives for quality and strategic growth within the Control Systems Discipline. Active participation in industry professional societies to contribute to the development of standards, participate in the development and delivery of presentations and whitepapers at industry trade shows and conferences, and develop article content for general industry and market sector specific newsletters and periodicals. Systems Integration {Use for SI / Application Programming Roles}: Perform complex assignments exercising judgment in evaluation, selection and modification of standard engineering techniques and procedures Coordinate workload through development, testing, and construction phases to complete integration tasks on schedule Conduct systems integration of the SCADA systems, including programming of PLCs/PCs and HMI customizing for various control software programs Review electrical documents for areas of conflict with all disciplines Building Automation Roles: This role will be primarily focused on building management (BMS) and automated facility support systems in coordination with clients and multidiscipline teams to deliver full-service control systems solutions for construction and implementation in multiple market sectors including tech, media & telecom; healthcare, research, and life sciences. Primary responsibilities include: Leading control systems design teams to produce deliverable packages for several concurrent projects including writing/editing instrumentation and controls specifications, selecting instrumentation, developing sequence of operations, create control system drawings. Coordinating the work of the control system engineers with the balance of multi-disciplined team throughout a project's design development and construction including power coordination, panel locations, remote equipment monitoring, integration to 3rd party systems, networking, and device locations. Coordinating workload to complete documents on schedule. Tracking financial aspects of projects, coordinating, and adjusting the work effort with the team to ensure that the work is completed within budget. Conducting schematic; design development, and contract document working sessions with clients. Establishing and maintaining client relationships, participate in marketing, design and production meetings with regard to instrumentation and control systems. Acting as a mentor for junior staff members. Supporting Section Manager is preparing Proposals Provide Quality Control reviews of Control system designs Reporting project status, performance, and quality updates to the Control Systems Section Manager. Strong Leadership and presentation skills. Control Systems Cyber Engineer Roles: Provide network and system specification documentation deliverables to address cybersecurity vulnerabilities and the security controls necessary to mitigate the vulnerabilities to an acceptable level of risk Participate in project meetings and provide specification deliverables in coordination with other HDR team designers, programmers, implementers, architects, and engineers Mentor internal and external clients on networking topics Participate in control systems master planning efforts Participate in construction administration services including contractor submittal review Lead ICS network assessment tasks including network mapping and asset inventories Serve as a cross-sector ICS resource for HDR engineering project teams servicing critical infrastructure. This capability requires expertise in ICS design, development, deployment, and commissioning in a virtual/cloud environment Maintain a working knowledge of secure networking standards to include NIST-800, ISA-62443, UFC-4-010-06 and others as required by client Certifications Pursuit and Maintenance: Cybersecurity and IT network related CISSP, CISM, or GICSP. DoD IAM or IAT Level 2 Participate in pre-project system/network cybersecurity risk assessment Participate in and/or validate cybersecurity commissioning (CFAT/CSAT) or audits of ICS networks/systems Preferred Qualifications Planning and Design {Use for Design and Planning Roles}: A minimum of 10 years experience designing Control Systems, including schematics and loops. Previous work experience with an A&E/Consulting Engineering firm. Systems Integration {Use for Systems Integration / Application Programming Roles}: Master's degree in Mechanical Engineering, Chemical Engineering, Electrical Engineering, Computer Engineering, or related field. Hands-on experience designing SCADA systems, including schematics and loops. Experience with control panel design and panel wiring. Experience with instrumentation setup, configuration and calibration. A minimum of 10 years of control systems programming experience. Experience managing control systems tasks, projects and teams. Experience with startup and commissioning. Knowledge of automation hardware including but not limited to Allen-Bradley/Rockwell, Emerson/GE, Foxboro, Modicon/Schneider-Electric, and Siemens. Knowledge of HMI software including but not limited to Wonderware/AVEVA, iFix, FactoryTalk, VTScada, Ignition, Emerson Ovation, Delta V, etc. Knowledge of industrial network equipment such as network switches, industrial firewalls, radio/RTU communication, cellular modems. Previous work experience with a Systems Integration firm. Building Automation Engineer {Use for BAS/BMS roles} Master's degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, or related field. A minimum of 10 years experience designing building automation or building management systems, including schematics and loops. Experience managing control systems projects. Previous work experience with an A&E/Consulting Engineering firm. Hands on experience designing BMS systems. Must be knowledgeable of control systems and sequence of operations for building systems including Mechanical/HVAC, Electrical/Power Monitoring, Lighting, etc. Must be knowledgeable of multiple communication platforms and protocols including but not limited to BACnet, LonWorks, Modbus TCP, Modbus RTU, Ethernet-I/P. Must be knowledgeable of cybersecurity considerations in control systems. Must be knowledgeable of networks, DDC hardware/software, and HMI software used in Building Management System applications. Data Center experience a plus. Direct Digital Control (DDC) programming experience a plus. Internet of Things (IoT) knowledge and experience a plus. Control Systems Cybersecurity Engineer Roles: Master's degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, or related field. A minimum of 10 years experience designing cybersecurity mitigations for Operational Technology Systems Experience leading control systems vulnerability assessments Previous work experience with an A&E/Consulting Engineering firm. 10+ years of experience working in critical infrastructure (Federal/DoD, Oil & Gas, Chemical, Water/Wastewater, Power Generation, etc.) 10+ years of experience in network design and system configuration to include firewalls, protocols, ports, VLANs, VMs, and route configuration Data analysis experience: Wireshark PCAPs, Intrusion Detection Systems (IDS) HVAC Control Systems experience to include BACnet and IP protocols Multiple control system types (PLC based, DCS, BMS, and SIS) IT experience/certifications in networking, encryption, programming, scripting, database design, Cybersecurity Standards experience (ISA 62443, DoD RMF, ISO, NERC/FERC, etc.) Certified GICSP, CISSP, CISM or equivalent #LI-EH1 We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. 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As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. In the role of Senior Control Systems Engineer , we'll count on you to: Planning and Design Roles: Perform complex assignments exercising judgment in evaluation, selection and modification of standard engineering techniques and procedures Coordinate control system discipline staff workload through design development and construction document phases to complete documents on schedule Review control systems documents for areas of conflict with all disciplines Write and edit instrumentation and controls systems specifications, and select equipment and monitoring/control devices Develop biddable and technically accurate SCADA / Control Systems construction documents including P&IDs, network architecture diagrams, control panel layouts and wiring diagrams, installation details, loop drawings, and technical specifications. Coordinate with and assist affected disciplines with addenda, RFIs, CPRs and change orders, and take responsibility to incorporate agreed-upon changes into the project documents Make decisions on significant design and engineering procedures as needed Supervise and develop a small staff of professionals and technicians as needed Provide construction contract administration as needed Lead or support SCADA and network Master Planning projects as needed Travel to client facilities to participate in field activities to assess and document the current state of installed control systems. Participate in and lead design review and planning meetings with the client. Lead the development of preliminary engineering reports and studies focused on recommending and developing solutions for improvements to client control systems. Serve as Engineer of Record in responsible charge for the development of biddable and technically accurate control system construction documents. Interface with Electrical, Process, and Cybersecurity specialists to fully coordinate design requirements for network, power, control, and instrumentation. Lead the selection and specification of facility and process instrumentation, control panels, and network equipment. Lead the development of biddable and technically accurate control system construction documents including P&IDs, process flow diagrams, network architecture diagrams, control panel layouts and wiring diagrams, installation details, loop drawings, and technical specifications. Participate in system testing and commissioning activities. Coordinate with project manager and section manager to update workplans for control systems staff assigned to your project, and to track budget and schedule performance for the control systems team. Participate in joint scoping and proposal development working with clients and marketing staff. Participate in the planning and specification of applied technology solutions including instrumentation and control, advanced automation and control, artificial intelligence, networking, data management & analytics, augmented reality, and vision control. Provide Quality Control (QC) reviews of control system designs. Contribute to Control System Technical Leadership Team and drive corporate initiatives for quality and strategic growth within the Control Systems Discipline. Active participation in industry professional societies to contribute to the development of standards, participate in the development and delivery of presentations and whitepapers at industry trade shows and conferences, and develop article content for general industry and market sector specific newsletters and periodicals. Systems Integration {Use for SI / Application Programming Roles}: Perform complex assignments exercising judgment in evaluation, selection and modification of standard engineering techniques and procedures Coordinate workload through development, testing, and construction phases to complete integration tasks on schedule Conduct systems integration of the SCADA systems, including programming of PLCs/PCs and HMI customizing for various control software programs Review electrical documents for areas of conflict with all disciplines Building Automation Roles: This role will be primarily focused on building management (BMS) and automated facility support systems in coordination with clients and multidiscipline teams to deliver full-service control systems solutions for construction and implementation in multiple market sectors including tech, media & telecom; healthcare, research, and life sciences. Primary responsibilities include: Leading control systems design teams to produce deliverable packages for several concurrent projects including writing/editing instrumentation and controls specifications, selecting instrumentation, developing sequence of operations, create control system drawings. Coordinating the work of the control system engineers with the balance of multi-disciplined team throughout a project's design development and construction including power coordination, panel locations, remote equipment monitoring, integration to 3rd party systems, networking, and device locations. Coordinating workload to complete documents on schedule. Tracking financial aspects of projects, coordinating, and adjusting the work effort with the team to ensure that the work is completed within budget. Conducting schematic; design development, and contract document working sessions with clients. Establishing and maintaining client relationships, participate in marketing, design and production meetings with regard to instrumentation and control systems. Acting as a mentor for junior staff members. Supporting Section Manager is preparing Proposals Provide Quality Control reviews of Control system designs Reporting project status, performance, and quality updates to the Control Systems Section Manager. Strong Leadership and presentation skills. Control Systems Cyber Engineer Roles: Provide network and system specification documentation deliverables to address cybersecurity vulnerabilities and the security controls necessary to mitigate the vulnerabilities to an acceptable level of risk Participate in project meetings and provide specification deliverables in coordination with other HDR team designers, programmers, implementers, architects, and engineers Mentor internal and external clients on networking topics Participate in control systems master planning efforts Participate in construction administration services including contractor submittal review Lead ICS network assessment tasks including network mapping and asset inventories Serve as a cross-sector ICS resource for HDR engineering project teams servicing critical infrastructure. This capability requires expertise in ICS design, development, deployment, and commissioning in a virtual/cloud environment Maintain a working knowledge of secure networking standards to include NIST-800, ISA-62443, UFC-4-010-06 and others as required by client Certifications Pursuit and Maintenance: Cybersecurity and IT network related CISSP, CISM, or GICSP. DoD IAM or IAT Level 2 Participate in pre-project system/network cybersecurity risk assessment Participate in and/or validate cybersecurity commissioning (CFAT/CSAT) or audits of ICS networks/systems Preferred Qualifications Planning and Design {Use for Design and Planning Roles}: A minimum of 10 years experience designing Control Systems, including schematics and loops. Previous work experience with an A&E/Consulting Engineering firm. Systems Integration {Use for Systems Integration / Application Programming Roles}: Master's degree in Mechanical Engineering, Chemical Engineering, Electrical Engineering, Computer Engineering, or related field. Hands-on experience designing SCADA systems, including schematics and loops. Experience with control panel design and panel wiring. Experience with instrumentation setup, configuration and calibration. A minimum of 10 years of control systems programming experience. Experience managing control systems tasks, projects and teams. Experience with startup and commissioning. Knowledge of automation hardware including but not limited to Allen-Bradley/Rockwell, Emerson/GE, Foxboro, Modicon/Schneider-Electric, and Siemens. Knowledge of HMI software including but not limited to Wonderware/AVEVA, iFix, FactoryTalk, VTScada, Ignition, Emerson Ovation, Delta V, etc. Knowledge of industrial network equipment such as network switches, industrial firewalls, radio/RTU communication, cellular modems. Previous work experience with a Systems Integration firm. Building Automation Engineer {Use for BAS/BMS roles} Master's degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, or related field. A minimum of 10 years experience designing building automation or building management systems, including schematics and loops. Experience managing control systems projects. Previous work experience with an A&E/Consulting Engineering firm. Hands on experience designing BMS systems. Must be knowledgeable of control systems and sequence of operations for building systems including Mechanical/HVAC, Electrical/Power Monitoring, Lighting, etc. Must be knowledgeable of multiple communication platforms and protocols including but not limited to BACnet, LonWorks, Modbus TCP, Modbus RTU, Ethernet-I/P. Must be knowledgeable of cybersecurity considerations in control systems. Must be knowledgeable of networks, DDC hardware/software, and HMI software used in Building Management System applications. Data Center experience a plus. Direct Digital Control (DDC) programming experience a plus. Internet of Things (IoT) knowledge and experience a plus. Control Systems Cybersecurity Engineer Roles: Master's degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, or related field. A minimum of 10 years experience designing cybersecurity mitigations for Operational Technology Systems Experience leading control systems vulnerability assessments Previous work experience with an A&E/Consulting Engineering firm. 10+ years of experience working in critical infrastructure (Federal/DoD, Oil & Gas, Chemical, Water/Wastewater, Power Generation, etc.) 10+ years of experience in network design and system configuration to include firewalls, protocols, ports, VLANs, VMs, and route configuration Data analysis experience: Wireshark PCAPs, Intrusion Detection Systems (IDS) HVAC Control Systems experience to include BACnet and IP protocols Multiple control system types (PLC based, DCS, BMS, and SIS) IT experience/certifications in networking, encryption, programming, scripting, database design, Cybersecurity Standards experience (ISA 62443, DoD RMF, ISO, NERC/FERC, etc.) Certified GICSP, CISSP, CISM or equivalent #LI-EH1 We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) {Pay Transparency Location: Columbus}: %24119,770 - %24171,100", "summaryDescription" : "Senior Control Systems Engineer at HDR", "createdAt" : "2026-06-15T23:08:15.136", "lastUpdated" : "2026-06-16T07:27:09.766", "ingestTimestamp" : "2026-06-15T23:08:15.136", "mongoId" : "6a305764f292fd229cf3938a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 119770, "salaryAnnualMax" : 171100, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305763f292fd229cf392a8", "title" : "Senior Control Systems Engineer", "company" : "HDR", "salary" : { "min" : 119770.0, "max" : 171100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States-Ohio-Columbus", "locations" : [ "United States-Ohio-Columbus" ], "timestamp" : "2026-06-16T07:46:53.358", "fingerprint" : "b38ec80468fe699fc29086069563eefcb401a400034979dd7b096cdf754f8310", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=785338", "externalId" : "785338", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Columbus", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.9622601,-83.0007065" } ], "locationText" : "Columbus, Ohio, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. In the role of Senior Control Systems Engineer , we'll count on you to: Planning and Design Roles: Perform complex assignments exercising judgment in evaluation, selection and modification of standard engineering techniques and procedures Coordinate control system discipline staff workload through design development and construction document phases to complete documents on schedule Review control systems documents for areas of conflict with all disciplines Write and edit instrumentation and controls systems specifications, and select equipment and monitoring/control devices Develop biddable and technically accurate SCADA / Control Systems construction documents including P&IDs, network architecture diagrams, control panel layouts and wiring diagrams, installation details, loop drawings, and technical specifications. Coordinate with and assist affected disciplines with addenda, RFIs, CPRs and change orders, and take responsibility to incorporate agreed-upon changes into the project documents Make decisions on significant design and engineering procedures as needed Supervise and develop a small staff of professionals and technicians as needed Provide construction contract administration as needed Lead or support SCADA and network Master Planning projects as needed Travel to client facilities to participate in field activities to assess and document the current state of installed control systems. Participate in and lead design review and planning meetings with the client. Lead the development of preliminary engineering reports and studies focused on recommending and developing solutions for improvements to client control systems. Serve as Engineer of Record in responsible charge for the development of biddable and technically accurate control system construction documents. Interface with Electrical, Process, and Cybersecurity specialists to fully coordinate design requirements for network, power, control, and instrumentation. Lead the selection and specification of facility and process instrumentation, control panels, and network equipment. Lead the development of biddable and technically accurate control system construction documents including P&IDs, process flow diagrams, network architecture diagrams, control panel layouts and wiring diagrams, installation details, loop drawings, and technical specifications. Participate in system testing and commissioning activities. Coordinate with project manager and section manager to update workplans for control systems staff assigned to your project, and to track budget and schedule performance for the control systems team. Participate in joint scoping and proposal development working with clients and marketing staff. Participate in the planning and specification of applied technology solutions including instrumentation and control, advanced automation and control, artificial intelligence, networking, data management & analytics, augmented reality, and vision control. Provide Quality Control (QC) reviews of control system designs. Contribute to Control System Technical Leadership Team and drive corporate initiatives for quality and strategic growth within the Control Systems Discipline. Active participation in industry professional societies to contribute to the development of standards, participate in the development and delivery of presentations and whitepapers at industry trade shows and conferences, and develop article content for general industry and market sector specific newsletters and periodicals. Systems Integration {Use for SI / Application Programming Roles}: Perform complex assignments exercising judgment in evaluation, selection and modification of standard engineering techniques and procedures Coordinate workload through development, testing, and construction phases to complete integration tasks on schedule Conduct systems integration of the SCADA systems, including programming of PLCs/PCs and HMI customizing for various control software programs Review electrical documents for areas of conflict with all disciplines Building Automation Roles: This role will be primarily focused on building management (BMS) and automated facility support systems in coordination with clients and multidiscipline teams to deliver full-service control systems solutions for construction and implementation in multiple market sectors including tech, media & telecom; healthcare, research, and life sciences. Primary responsibilities include: Leading control systems design teams to produce deliverable packages for several concurrent projects including writing/editing instrumentation and controls specifications, selecting instrumentation, developing sequence of operations, create control system drawings. Coordinating the work of the control system engineers with the balance of multi-disciplined team throughout a project's design development and construction including power coordination, panel locations, remote equipment monitoring, integration to 3rd party systems, networking, and device locations. Coordinating workload to complete documents on schedule. Tracking financial aspects of projects, coordinating, and adjusting the work effort with the team to ensure that the work is completed within budget. Conducting schematic; design development, and contract document working sessions with clients. Establishing and maintaining client relationships, participate in marketing, design and production meetings with regard to instrumentation and control systems. Acting as a mentor for junior staff members. Supporting Section Manager is preparing Proposals Provide Quality Control reviews of Control system designs Reporting project status, performance, and quality updates to the Control Systems Section Manager. Strong Leadership and presentation skills. Control Systems Cyber Engineer Roles: Provide network and system specification documentation deliverables to address cybersecurity vulnerabilities and the security controls necessary to mitigate the vulnerabilities to an acceptable level of risk Participate in project meetings and provide specification deliverables in coordination with other HDR team designers, programmers, implementers, architects, and engineers Mentor internal and external clients on networking topics Participate in control systems master planning efforts Participate in construction administration services including contractor submittal review Lead ICS network assessment tasks including network mapping and asset inventories Serve as a cross-sector ICS resource for HDR engineering project teams servicing critical infrastructure. This capability requires expertise in ICS design, development, deployment, and commissioning in a virtual/cloud environment Maintain a working knowledge of secure networking standards to include NIST-800, ISA-62443, UFC-4-010-06 and others as required by client Certifications Pursuit and Maintenance: Cybersecurity and IT network related CISSP, CISM, or GICSP. DoD IAM or IAT Level 2 Participate in pre-project system/network cybersecurity risk assessment Participate in and/or validate cybersecurity commissioning (CFAT/CSAT) or audits of ICS networks/systems Preferred Qualifications Planning and Design {Use for Design and Planning Roles}: A minimum of 10 years experience designing Control Systems, including schematics and loops. Previous work experience with an A&E/Consulting Engineering firm. Systems Integration {Use for Systems Integration / Application Programming Roles}: Master's degree in Mechanical Engineering, Chemical Engineering, Electrical Engineering, Computer Engineering, or related field. Hands-on experience designing SCADA systems, including schematics and loops. Experience with control panel design and panel wiring. Experience with instrumentation setup, configuration and calibration. A minimum of 10 years of control systems programming experience. Experience managing control systems tasks, projects and teams. Experience with startup and commissioning. Knowledge of automation hardware including but not limited to Allen-Bradley/Rockwell, Emerson/GE, Foxboro, Modicon/Schneider-Electric, and Siemens. Knowledge of HMI software including but not limited to Wonderware/AVEVA, iFix, FactoryTalk, VTScada, Ignition, Emerson Ovation, Delta V, etc. Knowledge of industrial network equipment such as network switches, industrial firewalls, radio/RTU communication, cellular modems. Previous work experience with a Systems Integration firm. Building Automation Engineer {Use for BAS/BMS roles} Master's degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, or related field. A minimum of 10 years experience designing building automation or building management systems, including schematics and loops. Experience managing control systems projects. Previous work experience with an A&E/Consulting Engineering firm. Hands on experience designing BMS systems. Must be knowledgeable of control systems and sequence of operations for building systems including Mechanical/HVAC, Electrical/Power Monitoring, Lighting, etc. Must be knowledgeable of multiple communication platforms and protocols including but not limited to BACnet, LonWorks, Modbus TCP, Modbus RTU, Ethernet-I/P. Must be knowledgeable of cybersecurity considerations in control systems. Must be knowledgeable of networks, DDC hardware/software, and HMI software used in Building Management System applications. Data Center experience a plus. Direct Digital Control (DDC) programming experience a plus. Internet of Things (IoT) knowledge and experience a plus. Control Systems Cybersecurity Engineer Roles: Master's degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, or related field. A minimum of 10 years experience designing cybersecurity mitigations for Operational Technology Systems Experience leading control systems vulnerability assessments Previous work experience with an A&E/Consulting Engineering firm. 10+ years of experience working in critical infrastructure (Federal/DoD, Oil & Gas, Chemical, Water/Wastewater, Power Generation, etc.) 10+ years of experience in network design and system configuration to include firewalls, protocols, ports, VLANs, VMs, and route configuration Data analysis experience: Wireshark PCAPs, Intrusion Detection Systems (IDS) HVAC Control Systems experience to include BACnet and IP protocols Multiple control system types (PLC based, DCS, BMS, and SIS) IT experience/certifications in networking, encryption, programming, scripting, database design, Cybersecurity Standards experience (ISA 62443, DoD RMF, ISO, NERC/FERC, etc.) Certified GICSP, CISSP, CISM or equivalent #LI-EH1 We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) {Pay Transparency Location: Columbus}: %24119,770 - %24171,100", "summaryDescription" : "Senior Control Systems Engineer at HDR", "createdAt" : "2026-06-15T23:08:14.707", "lastUpdated" : "2026-06-16T07:46:53.358", "ingestTimestamp" : "2026-06-15T23:08:14.707", "mongoId" : "6a305763f292fd229cf392a8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 119770, "salaryAnnualMax" : 171100, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c692174d8ee00a0906243", "title" : "Senior Analytics Engineer", "company" : "Sekai", "industry" : "Technical Staff", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Analytics Engineer in the US, adjusted for seniority and remote work." }, "location" : "United States-Remote", "locations" : [ "United States-Remote" ], "timestamp" : "2026-06-15T10:03:28.440", "fingerprint" : "5c165370d1e428aaba707e1839fecf9b81bf793edb542361360b3ab5ed30c8b9", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/sekai/c512779d-c5b9-403f-8e68-cd1c85429eb6/application", "externalId" : "c512779d-c5b9-403f-8e68-cd1c85429eb6", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, BigQuery, Snowflake, Amplitude, Looker, Metabase, PostHog", "professionalSkills" : [ "Product sense", "Data modeling", "Analytics engineering", "Startup execution" ], "hardSkillsList" : [ "Data transformation", "Data modeling", "Metric definition", "Data quality checks", "Event taxonomy", "Instrumentation quality", "Data consistency", "Experiment readouts", "Cohort analysis", "Funnel analysis", "Product deep dives", "Data architecture" ], "hardSkills" : [ { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Metric definition", "level" : "intermediate" }, { "name" : "Data quality checks", "level" : "intermediate" }, { "name" : "Event taxonomy", "level" : "intermediate" }, { "name" : "Instrumentation quality", "level" : "intermediate" }, { "name" : "Data consistency", "level" : "intermediate" }, { "name" : "Experiment readouts", "level" : "intermediate" }, { "name" : "Cohort analysis", "level" : "intermediate" }, { "name" : "Funnel analysis", "level" : "intermediate" }, { "name" : "Product deep dives", "level" : "intermediate" }, { "name" : "Data architecture", "level" : "intermediate" } ], "majorSkills" : "Analytics engineering, Data modeling, Product analytics", "majorSkillsList" : [ "Analytics engineering", "Data modeling", "Product analytics" ], "coreResponsibilities" : "Design analytics data models, Maintain analytics data models, Transform raw events, Transform logs, Build intermediate datasets, Build canonical datasets, Define company-wide metrics, Operationalize company metrics, Partner with product, Partner with engineering, Improve event taxonomy, Improve instrumentation quality, Improve data consistency, Build dashboards, Maintain dashboards, Build self-serve data products, Maintain self-serve data products, Establish data quality standards, Establish data testing, Establish data documentation, Establish data freshness checks, Support experiment readouts, Support cohort analysis, Support funnel analysis, Support product deep dives, Shape data architecture", "teamCollaboration" : "Product teams; Engineering teams; Growth teams; Leadership teams; Data scientists", "domainKnowledge" : "Consumer apps; Social products; Gaming; Creator platforms; Recommendation systems; Content feeds; Mobile products; Web products; Retention analytics; Funnel analytics; Cohort analysis; Experimentation analytics; Growth analytics; AI products; LLM usage data; Content generation data; Evaluation datasets", "domainList" : [ "consumer-apps", "social-products", "gaming", "creator-platforms", "recommendation-systems", "content-feeds", "mobile-products", "web-products", "retention-analytics", "funnel-analytics", "cohort-analysis", "experimentation-analytics", "growth-analytics", "ai-products", "llm-usage-data", "content-generation-data", "evaluation-datasets" ], "domainSpecificKnowledge" : [ "Consumer apps", "Social products", "Gaming", "Creator platforms", "Recommendation systems", "Content feeds", "Mobile products", "Web products", "Retention analytics", "Funnel analytics", "Cohort analysis", "Experimentation analytics", "Growth analytics", "AI products", "LLM usage data", "Content generation data", "Evaluation datasets" ], "toolProficiency" : [ "BigQuery", "Snowflake", "Amplitude", "Looker", "Metabase", "PostHog" ], "documentationSkills" : "Data documentation", "problemSolvingSkills" : "Data debugging; Troubleshooting data issues", "qualificationsBasic" : "4+ years experience, SQL proficiency, Experience transforming data", "qualificationsPreferred" : "PhD preferred, Consumer apps experience, Social products experience, Gaming experience, Creator platforms experience, Recommendation systems experience, Content feeds experience, Mobile event taxonomy experience, Web event taxonomy experience, Retention analytics experience, Funnel analytics experience, Cohort analysis experience, Experimentation analytics experience, Growth analytics experience, Building analytics function experience, AI products familiarity, LLM usage data familiarity, Content generation data familiarity, Evaluation datasets familiarity", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Sekai is building the TikTok for mini apps — an AI-driven consumer platform where people create, remix, share, and play interactive content instantly. We are a Series A company backed by Khosla, a16z, Mayfield, and A*, with $30M raised to date. We are remote-first across all positions and are looking for ambitious, AI-native builders who want to help shape the next generation of consumer social products. Here are Sekai’s download links: - Android: https://play.google.com/store/apps/details?id=chat.sekai.app&hl=en_US - IOS: https://apps.apple.com/us/app/sekai-create-remix-play/id6504506653 About this Role We are looking for a Founding Analytics Engineer to build the data modeling layer behind Sekai’s product, growth, and company decision-making. This role is not a traditional BI or dashboard-only role. You will own the transformation layer that turns raw product events, backend logs, and operational data into clean, reliable, and reusable datasets for product analytics, experimentation, growth, creator insights, and investor-facing metrics. As an early member of the data function, you will work closely with product, engineering, growth, and leadership to define how Sekai understands user behavior, content performance, creator activity, retention, and product quality. You will design the canonical tables, metric definitions, data quality checks, and dashboards that help the team make faster and more trustworthy decisions. This is a highly hands-on role for someone who enjoys working across data modeling, analytics engineering, product thinking, and startup execution. WHAT YOU’LL OWN - Design and maintain the core analytics data models that transform raw events and logs into clean, trusted, analysis-ready tables. - Build intermediate and canonical datasets for key product areas such as user activity, content consumption, creation, publishing, remixing, retention, recommendations, and experimentation. - Define and operationalize company-wide metrics, including DAU, retention, continuation, creator supply, creation penetration, content engagement, funnel conversion, and growth efficiency. - Partner with product and engineering to improve event taxonomy, instrumentation quality, and data consistency across app, web, backend, and analytics tools. - Build and maintain dashboards and self-serve data products that help teams track product performance and diagnose issues quickly. - Establish data quality standards, testing, documentation, and freshness checks so the team can trust the numbers. - Support experiment readouts, cohort analysis, funnel analysis, and product deep dives using SQL, Python, and modern analytics tools. - Help shape Sekai’s long-term data architecture as the company scales from early product-market fit to a larger consumer platform. BACKGROUND WE’RE LOOKING FOR - 4+ years of experience in analytics engineering, data engineering, data science, product analytics, or a related data role. - Strong SQL skills and experience designing clean, reusable data models for analytics use cases. - Experience transforming raw event logs or backend data into canonical datasets, intermediate tables, marts, or metric layers. - Experience with modern warehouse and analytics tooling such as BigQuery, Snowflake, Amplitude, Looker, Metabase, Amplitude, PostHog, or similar tools. - Strong product sense and ability to translate ambiguous product questions into clear data models, metrics, and analysis plans. - Ability to debug data issues across the full path from instrumentation to warehouse tables to dashboards. - Comfort working in a fast-moving startup environment where the right answer is often to build a practical, reliable v1 quickly and improve it over time. - Strong communication skills and ability to partner with product managers, engineers, growth, data scientists, and company leadership. BONUS POINTS - Experience with consumer apps, social products, gaming, creator platforms, recommendations, or content feeds. - Experience designing event taxonomies for mobile or web products. - Experience with retention, funnel, cohort, experimentation, and growth analytics. - Experience building an analytics engineering function from scratch at an early-stage company. - Familiarity with AI products, LLM usage data, content generation data, or evaluation datasets. BENEFITS - Top-tier salary in the market + competitive equity - Full health insurance - Remote-first team If you are excited about building at the frontier of AI, consumer social, and interactive entertainment, we would love to hear from you. At Sekai, you will work with an AI-native team, move fast, own meaningful problems, and have the flexibility to explore new ideas from an early stage.", "summaryDescription" : "Senior Analytics Engineer at Sekai. Skills: Analytics engineering, Data modeling, Product analytics. Design analytics data models. Maintain analytics data models", "createdAt" : "2026-06-14T09:32:47.369", "lastUpdated" : "2026-06-15T10:03:28.440", "ingestTimestamp" : "2026-06-14T09:32:47.369", "mongoId" : "6a2c692174d8ee00a0906243", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data transformation", "Data modeling", "Metric definition", "Data quality checks", "Event taxonomy", "Instrumentation quality", "Data consistency", "Experiment readouts", "Cohort analysis", "Funnel analysis", "Product deep dives", "Data architecture", "Analytics engineering", "Product analytics", "Product sense", "Startup execution", "Consumer apps", "Social products", "Gaming", "Creator platforms", "Recommendation systems", "Content feeds", "Mobile products", "Web products", "Retention analytics", "Funnel analytics", "Experimentation analytics", "Growth analytics", "AI products", "LLM usage data", "Content generation data", "Evaluation datasets", "BigQuery", "Snowflake", "Amplitude", "Looker", "Metabase", "PostHog" ], "skillCount" : 38, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306071f292fd229cf8d789", "title" : "Senior Machine Learning Engineer, CX Intelligence", "company" : "Coinbase", "industry" : "FinTech", "salary" : { "min" : 275000.0, "max" : 450000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Machine Learning Engineer in FinTech in Rio de Janeiro, Brazil, adjusted for company size and industry." }, "location" : "Rio de Janeiro, Brazil", "locations" : [ "Rio de Janeiro", "Brazil" ], "timestamp" : "2026-06-16T07:41:02.297", "fingerprint" : "cc82716e279254f5b5228eed8bb88c06f9591083227c4ae3ba994f41c9d8ce27", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.coinbase.com/careers/positions/8008569?gh_jid=8008569", "externalId" : "8008569", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Rio de Janeiro", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "hybrid", "geo" : "-22.9110137,-43.2093727" } ], "locationText" : "Rio de Janeiro, Brazil", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, C++, Distributed systems, Machine learning", "professionalSkills" : [ "System design" ], "hardSkillsList" : [ "Machine learning systems" ], "hardSkills" : [ { "name" : "Machine learning systems", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Distributed Systems", "majorSkillsList" : [ "Machine Learning", "Distributed Systems" ], "coreResponsibilities" : "Design and build machine learning systems, Build and maintain production ML systems, Develop and deploy ML models, Collaborate with product and engineering teams, Improve ML system performance, Ensure ML system reliability", "teamCollaboration" : "Product and engineering teams", "domainKnowledge" : "Machine learning systems; Distributed systems", "domainList" : [ "machine-learning-systems", "distributed-systems" ], "domainSpecificKnowledge" : [ "Machine learning systems", "Distributed systems" ], "qualificationsBasic" : "5+ years of experience in software engineering, Experience with large-scale distributed systems, Experience with machine learning systems, Experience with Python", "qualificationsPreferred" : "Experience with C++, Experience with distributed systems, Experience with machine learning systems, Experience with Python", "workSiteFlexibility" : "Remote", "rawDescription" : "Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for \"good enough,\" you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Machine Learning Engineer on the CX Intelligence team within Enterprise Applications and Architecture, you'll build the AI-powered conversational systems that connect Coinbase's Help Center, chatbots, and agent workflows. The team owns the multi-agent platform powering Coinbase Chat and agent tooling, partnering with Conversation Design, CX, and Engineering to deliver secure, scalable automated support. You'll lead the design and implementation of a unified orchestration layer that coordinates interactions between vendor AI, internal multi-agent systems, and human participants, directly improving how millions of customers get help. What you'll do: Architect and deploy the orchestration layer that manages state transitions, context sharing, and intent routing across vendor and internal LLM frameworks in a distributed conversational environment. Build production-grade Python services that bridge advanced ML/AI research with reliable, measurable customer-facing products. Lead end-to-end project execution for complex ML initiatives, managing priorities, technical trade-offs, and cross-functional dependencies from design through delivery. Establish best practices for system design, coding standards, and AI/ML development workflows across the team. Mentor engineers on architectural integrity and modern AI/ML patterns, raising the technical bar for the broader team. Conduct design reviews to ensure every feature meets Coinbase's standards for security, scalability, and performance. Required Skills and Experience: 5+ years of professional experience in machine learning and software engineering, with a track record of shipping production-grade ML services at scale. Hands-on expertise building with modern AI architectures (LLMs, deep learning) and the generative AI ecosystem, including frameworks such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock. Deep proficiency in Python with demonstrated ability to write clean, maintainable, highly-tested production code. Specialized knowledge in at least one domain: NLP, information retrieval, computer vision, or advanced statistical modeling. Proven ability to write technical design documents and present ML system architectures to cross-functional stakeholders, translating complex technical concepts for non-technical audiences. Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision). Annual base salary range (excluding equity and bonus): R$455.500—R$455.500 BRL Application Limit: Candidates may submit a maximum of 4 applications per 30-day period. Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation. Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial. Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes. AI Disclosure: Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. Coinbase will not use AI to make decisions impacting employment.", "summaryDescription" : "Senior Machine Learning Engineer, CX Intelligence at Coinbase. Skills: Machine Learning, Distributed Systems. Design and build machine learning systems. Build and maintain production ML systems", "postedDate" : "2026-06-15T23:21:43.403", "createdAt" : "2026-06-15T23:21:43.403", "lastUpdated" : "2026-06-16T07:41:02.297", "ingestTimestamp" : "2026-06-15T23:21:43.403", "mongoId" : "6a306071f292fd229cf8d789", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Machine learning systems", "Machine Learning", "Distributed Systems", "System design", "Distributed systems" ], "skillCount" : 5, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "69c94a7b9bc74574cbbb4518", "title" : "Senior Business Intelligence Engineer, Cross Border Science and Analytics", "company" : "ADCI", "industry" : "Business Intelligence, Business Intel Engineer, no business category", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Business Intelligence Engineer in Chennai, India, adjusted for the technology industry and company size." }, "location" : "Chennai, Tamil Nadu, IND", "locations" : [ "Chennai, Tamil Nadu, IND" ], "timestamp" : "2026-06-15T00:27:13.402", "fingerprint" : "3cfd69884d4431eac08b4ebb62c227bd1b7e0773e31916b02b13044c8a1334e9", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3192588/apply", "externalId" : "c536ab1f-b767-422a-9344-edb1f44b4023", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chennai", "state" : "Tamil Nadu", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "13.0836939,80.2701860" } ], "locationText" : "Chennai, Tamil Nadu, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, AWS, Python", "professionalSkills" : [ "AI readiness", "Analytics solutions", "Knowledge repository", "Semantic layers", "Feature-ready datasets", "Anomaly detection", "KPI frameworks" ], "hardSkillsList" : [ "Statistical analysis", "Data science", "Machine learning", "Data mining", "Information retrieval" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data science", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Information retrieval", "level" : "intermediate" } ], "majorSkills" : "Business Intelligence, Data Engineering, AI readiness", "majorSkillsList" : [ "Business Intelligence", "Data Engineering", "AI readiness" ], "coreResponsibilities" : "Define roadmap for AI-enabled analytics, Enable business users to access insights, Partner with product, applied science, data and engineering, Translate business problems into scalable analytics solutions, Design and maintain scalable knowledge repository, Design semantic layers, Design feature-ready datasets for analytics and AI, Define anomaly detection mechanisms, Define standardized KPI frameworks", "teamCollaboration" : "Partner with product; Partner with applied science; Partner with data teams; Partner with engineering teams", "domainKnowledge" : "AI readiness; Data analytics; Machine learning; Data mining", "domainList" : [ "ai-readiness", "data-analytics", "machine-learning", "data-mining" ], "domainSpecificKnowledge" : [ "AI readiness", "Data analytics", "Machine learning", "Data mining" ], "communicationSkills" : "Communicating results to senior leadership", "innovationCreativity" : "Driving adoption; Driving innovation", "problemSolvingSkills" : "Translate business problems", "qualificationsBasic" : "10+ years of professional experience, 5+ years of SQL experience, Experience programming to extract, transform and clean large data sets, Experience with theory and practice of design of experiments and statistical analysis of results, Experience with AWS technologies, Experience in scripting for automation, Advanced SQL skills, Experience with theory and practice of information retrieval, data science, machine learning and data mining", "qualificationsPreferred" : "Experience managing, analyzing and communicating results to senior leadership, Experimenting and deploying AI use cases in last 1 year, Actively learning and exploring the evolving space", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "This role will work on org wide AI readiness initiatives across data and analytics layer for driving adoption, innovation along with setting up quality standards. Key job responsibilities - Define the roadmap for AI-enabled analytics aligned with business goals - Enable business users to access insights through Semantic layers, AI-assisted query interfaces, Natural language analytics - Partner with product, applied science, data and engineering teams to translate business problems into scalable analytics solutions. - Design and maintain scalable knowledge repository, semantic layers, and feature-ready datasets for analytics and AI. - Define anomaly detection mechanisms and standardized KPI frameworks Basic Qualifications: - 10+ years of professional or military experience - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining Preferred Qualifications: - Experience managing, analyzing and communicating results to senior leadership - Must experience on experimenting and deploying AI use cases in last 1 year and actively learning and exploring the evolving space Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Senior Business Intelligence Engineer, Cross Border Science and Analytics at ADCI. Skills: Business Intelligence, Data Engineering, AI readiness. Define roadmap for AI-enabled analytics. Enable business users to access insights", "postedDate" : "2026-06-13T02:31:31.301", "createdAt" : "2026-06-13T02:31:31.301", "lastUpdated" : "2026-06-15T00:27:13.402", "ingestTimestamp" : "2026-06-13T02:31:31.301", "mongoId" : "69c94a7b9bc74574cbbb4518", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3192588/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Data science", "Machine learning", "Data mining", "Information retrieval", "Business Intelligence", "Data Engineering", "AI readiness", "Analytics solutions", "Knowledge repository", "Semantic layers", "Feature-ready datasets", "Anomaly detection", "KPI frameworks", "Data analytics" ], "skillCount" : 15, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ca43874d8ee00a09b0bdc", "title" : "Commercial & Analytics Projects", "company" : "Picnic", "industry" : "E-Commerce", "salary" : { "min" : 55000.0, "max" : 80000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for E-commerce in Amsterdam, Netherlands, adjusted for mid-seniority and full-time employment." }, "location" : "Amsterdam, North Holland, Netherlands", "locations" : [ "Amsterdam", "North Holland", "Netherlands" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T08:05:06.822", "fingerprint" : "e007a30a43bb50fcd6d4e5c29f7a5518c7bbd1bf4800fd25bee9d21293b11aef", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.picnic.app/nl/vacancies?gh_jid=1052185", "externalId" : "1052185", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "minimumEducation" : "Master's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Quantitative analysis", "Deal experience" ], "hardSkillsList" : [ "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Grit" ], "hardSkills" : [ { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Grit" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering" ], "coreResponsibilities" : "Own problems, Test ideas, Learn from mistakes, Solve puzzles, Build solutions", "teamCollaboration" : "Cross-functional teams; European scale teams", "domainKnowledge" : "Retail topics; Grocery shopping", "domainList" : [ "retail-topics", "grocery-shopping" ], "domainSpecificKnowledge" : [ "Retail topics", "Grocery shopping" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "SageMaker", "Vertex AI", "ML Studio" ], "communicationSkills" : "Explain complex concepts", "continuousLearning" : "Personal development; Lepaya courses; Academy trainings; OpenUp courses", "innovationCreativity" : "Innovate across borders; Redefine operations", "problemSolvingSkills" : "Solve real-life puzzles", "outcomesObjectives" : "Capitalize on growth opportunities; Redefine grocery shopping; Deliver results", "qualificationsBasic" : "Master's degree, 2-5 years experience, SQL proficiency, Python proficiency", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certifications", "workSiteFlexibility" : "Flexible", "rawDescription" : "In a nutshell As we continue to scale the best milkman on earth, we are looking for sharp minds that can help us further shape Picnic as we expand across Europe. We are looking for experienced hires with a background in top strategy consulting, private equity, investment banking, e-commerce or commercial roles, that can help us capitalize on the many growth opportunities Picnic has. Tricks of the trade Lead with ambition: Bring your relentless determination, creativity, and grit. Take the driver’s seat and redefine the grocery shopping experience for millions. You will be expected to think independently, move fast, and deliver results. Steep learning curve: Your growth comes from owning real problems, testing your ideas, learning from your mistakes and starting again. You'll move at a pace that accelerates your growth like nowhere else. Solve real-life puzzles: Spot opportunities, use tools at the forefront of technology, and own the outcome end to end. Not just making slides, but building the solution yourself. Innovate across borders: You’ll collaborate with teams across the Netherlands, Germany, and France, tackling challenges that redefine how Picnic operates at a European scale. High-performance environment: You’ll work alongside some of the best teams in analytics and tech, people who set a high bar and expect you to do the same. Your superpowers Master’s degree in Econometrics, Engineering, Finance, Math or an equivalent quantitative study 2-5 years of work experience in top tier management consulting, PE, investment banking, retail topics and hands-on deal experience Out-of-the-box thinking and initiative: hands-on, nothing-is-impossible mindset Strong communication skills in Dutch and English, allowing you to explain complex analytical concepts in a simple and practical way Proficient with SQL and Python or excited to learn Picnic Perks \uD83E\uDD57 Fresh Lunch, coffee, and snacks Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up. \uD83D\uDEB2 Health insurance discount & bike plan We have a partnership with CZ (a health insurance provider). Picnic employees get a discount on CZ insurance packages between 5% and 15%. Furthermore, through our partnership with Lease a Bike, you can rent-to-own a new (e)bike at a discounted rate \uD83D\uDDFA️ Relocation If you’re moving from another country to join Picnic we make it as smooth as possible for you. We’ll cover your flight costs for you and your partner and kids, your first month's rent and moving costs (up to €2000), and help you with the 30% tax ruling setup and application. \uD83C\uDF4E Learning & development You’ll get ample opportunity to work on yourself at Picnic. We offer personal development through Lepaya courses, Academy trainings, and more. Interested in improving your mental wellbeing? Through OpenUp you get free access to trained psychologists and many courses. \uD83D\uDCBB All the rest At Picnic you get 25 holidays, we cover your travel expenses and offer a pension plan. And your phone and laptop are on us, as well.", "summaryDescription" : "Commercial & Analytics Projects at Picnic. Skills: Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering. Own problems. Test ideas", "postedDate" : "2026-06-14T01:47:09.171", "createdAt" : "2026-06-14T01:47:09.171", "lastUpdated" : "2026-06-15T08:05:06.822", "ingestTimestamp" : "2026-06-14T01:47:09.171", "mongoId" : "6a2ca43874d8ee00a09b0bdc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Grit", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Deal experience", "Retail topics", "Grocery shopping", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "SageMaker", "Vertex AI", "ML Studio" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca42974d8ee00a09b06c1", "title" : "Senior Data / Analytics Engineer", "company" : "Metro Vein Centers", "industry" : "Healthcare", "salary" : { "min" : 150000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "West Bloomfield, Michigan, United States", "locations" : [ "West Bloomfield", "Michigan", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T00:08:33.890", "fingerprint" : "c7d74f7b3f5b9e144d0e12e1191ebf69a4b087a5101032152837ca84c9251e4b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/metroveincenters/jobs/4249713009", "externalId" : "4249713009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "workMode" : "remote" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Quantitative analysis", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Statistical modeling" ], "hardSkillsList" : [ "Regression analysis", "Classification modeling", "Clustering analysis", "Time-series forecasting", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification modeling", "level" : "intermediate" }, { "name" : "Clustering analysis", "level" : "intermediate" }, { "name" : "Time-series forecasting", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Machine learning, Business intelligence, Analytics engineering", "majorSkillsList" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and optimize data models, Design and implement ETL/ELT processes, Develop and deploy machine learning models, Create and maintain BI dashboards and reports, Perform data analysis and generate insights, Collaborate with stakeholders to understand data needs, Ensure data quality and integrity, Stay updated with emerging data technologies", "teamCollaboration" : "Cross-functional teams; Stakeholders", "domainKnowledge" : "Data science; Data engineering; Machine learning; Business intelligence; Analytics engineering; Quantitative analysis; Cloud data stacks; ML frameworks; BI platforms; Statistical methods; Modelling skills", "domainList" : [ "data-science", "data-engineering", "machine-learning", "business-intelligence", "analytics-engineering", "quantitative-analysis", "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods", "modelling-skills" ], "domainSpecificKnowledge" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Modelling skills" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "qualificationsBasic" : "5+ years of experience, SQL proficiency, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with specific ML frameworks, Experience with cloud platforms", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Metro Vein Centers is a rapidly growing healthcare practice specializing in state-of-the-art vein treatments. Our board-certified physicians and expert staff are on a mission to improve people’s quality of life by relieving the painful, yet highly treatable symptoms of vein disease—such as varicose veins and heavy, aching legs. With over 60 clinics across 7 states, and still growing, we’re building the future of vein care—delivering compassionate, results-driven care in a modern, patient-first environment. We proudly maintain a Net Promoter Score (NPS) of 93, the highest patient satisfaction in the industry. Location: NYC preferred or Remote | Full-time Experience: 5-8+ years in analytics engineering, modern data stack architecture, or data platform engineering Compensation: $150,000 DOE + bonus About Us Metro Vein Centers is a rapidly expanding healthcare organization with 70+ clinics across 8 states. We are a highly data-driven business operating at the intersection of healthcare, performance marketing, operations, and technology. As the organization has scaled rapidly, so has the complexity of our data ecosystem. We are now entering the next phase of maturity: building a scalable, governed, AI-ready data foundation that can support the future growth of the business. We are looking for a Senior Analytics Engineer to help lead that evolution. About the Role This is a foundational role within the Tech & Data organization, reporting directly to the Director of Tech & Data. You will help modernize and scale our data architecture across marketing, operations, finance, sales, and clinical systems while maintaining continuity for existing reporting, analytics, and business operations. This role is ideal for someone who thrives in high-growth environments and enjoys bringing structure, reliability, governance, and scalability to complex and evolving data ecosystems. You will play a central role in rebuilding and organizing our data foundation, establishing standards and architecture patterns, improving transformation and modeling practices, and helping create a modern healthcare data platform designed for long-term scale and AI-enabled workflows. This is not a pure backend engineering role. We are looking for someone who combines strong analytics engineering and warehouse architecture experience with practical business judgment and modern data stack expertise. What You’ll Own Data Architecture & Modernization Help design and implement a scalable modern data architecture within Google BigQuery Rebuild and organize fragmented data structures into standardized, maintainable models Establish naming conventions, modeling standards, lineage, and governance frameworks Help separate and structure sensitive vs non-sensitive data appropriately in a HIPAA-conscious environment Partner with leadership to define long-term warehouse and transformation architecture strategy Improve scalability and maintainability without disrupting existing business operations Analytics Engineering & Data Modeling Own and expand our dbt transformation layer and modeling practices Build clean, scalable transformation pipelines and business logic layers Create reliable curated datasets for analytics, reporting, operational workflows, and AI initiatives Standardize KPI logic and reduce duplicated transformation logic across systems Develop testing, QA, and documentation standards for data models and pipelines Improve data quality, observability, and reliability across the warehouse Data Pipelines & Platform Operations Build, maintain, and optimize ingestion and transformation pipelines across internal and third-party systems Work across platforms including: Google BigQuery dbt Fivetran Portable Improvado HubSpot Tableau Google Cloud Platform Troubleshoot pipeline failures, schema drift, integration issues, and data discrepancies Improve monitoring, documentation, and operational stability across the data stack AI-Ready Data Infrastructure Help build structured, reliable, AI-ready datasets and systems Partner with Tech & Data leadership on long-term AI infrastructure readiness Support future AI-enabled workflows, automation initiatives, and operational tooling Contribute to scalable data design practices that support evolving AI use cases across the business Cross-Functional Collaboration Partner closely with analysts, marketing, operations, finance, and technology stakeholders Support analysts by improving foundational data models and reducing engineering burden on analytics resources Collaborate with IT and leadership on governance, access, and long-term platform maturity Participate in architectural planning and technical roadmap discussions What You Bring Required Experience 5-8+ years in analytics engineering, data engineering, or modern data stack environments Strong expertise in SQL and warehouse-based data transformation workflows Hands-on experience with dbt and modern ETL workflows Deep experience working within Google BigQuery or comparable cloud data warehouses Proficiency with SFTP-based file transfer workflows, including key-based authentication, scheduled transfers, and error handling Experience designing scalable data models and transformation layers Experience working with complex operational and business systems data Strong understanding of data governance, documentation, testing, and QA practices Experience building and maintaining production-grade data pipelines Strong systems thinking and architectural judgment Ability to balance long-term architecture improvements with short-term operational stability Preferred Experience Experience with: Fivetran Portable Improvado Tableau HubSpot Google Cloud Platform Experience in healthcare or HIPAA-conscious environments Experience supporting marketing, operational, or revenue-focused analytics ecosystems Familiarity with AI-enabled data workflows and AI-ready platform design Experience helping mature or rebuild fragmented data environments Familiarity with Jira and collaborative technical project management workflows What Success Looks Like Within 12 months, this person will have helped: Establish scalable architecture and modeling standards across the warehouse Mature and expand the dbt transformation layer Improve documentation, lineage, governance, and data reliability Organize fragmented datasets into scalable, maintainable structures Improve separation and governance of sensitive vs non-sensitive data Reduce operational friction and engineering burden across the analytics ecosystem Build a more scalable and AI-ready data foundation for the future growth of the organization What We Offer Competitive compensation and bonus structure High ownership and autonomy Opportunity to help shape the long-term data architecture of a rapidly scaling organization Smart, collaborative, highly driven teammates Direct impact on operational performance, growth, and patient experience Opportunity to help build the next generation of healthcare data infrastructure and AI enablement at scale Benefits to Support Your Wellbeing & Lifestyle Full-time team members at Metro Vein Centers are eligible for: Medical, Dental, and Vision Insurance 401(k) Paid Time Off (PTO) + Paid Company Holidays Company-Paid Life Insurance Short-Term Disability Insurance Employee Assistance Program (EAP) Career Growth & Development Opportunities Compensation for this role varies based on years of experience, skill set, and alignment with position requirements. Compensation: $150,000—$150,000 USD The Metro Vein Centers Difference Healthy legs. Happier lives. At Metro Vein Centers, we believe exceptional care begins with an exceptional experience. Our mission is to make vein care approachable, empowering, and connected to overall well-being. From the first conversation to the final follow-up, every patient interaction reflects our commitment to compassion, expertise, and trust. A team united by purpose. Our values guide everything we do: Patients First, Always – Every interaction should make our patients feel valued, heard, and cared for. Stronger Together – Teamwork and collaboration drive our success. We lift each other up to deliver the best for our patients. A Can-Do Spirit – We meet every challenge with positivity, flexibility, and problem-solving energy. Results That Make a Difference – We’re driven to improve lives through meaningful, measurable outcomes. Commitment to Growth – We invest in our people, fostering advancement and professional development at every level. Metro Vein Centers is an Equal Opportunity Employer. We’re committed to creating a workplace where everyone feels seen, heard, and supported. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetics, gender identity or expression, sexual orientation, veteran status, or any other protected status in accordance with applicable federal, state, and local laws. This policy applies to all aspects of employment, including recruitment, hiring, promotion, compensation, benefits, and termination. Legal & Compliance Notice: Metro Vein Centers complies with all applicable federal, state, and local employment laws, including those related to nondiscrimination, equal opportunity, and pay transparency. Where specific disclosures or postings are required by law, we provide this information as part of our hiring process or upon request. Your privacy matters. To learn more about how we collect, use, and protect your information, please review our privacy policy here.", "summaryDescription" : "Senior Data / Analytics Engineer at Metro Vein Centers. Skills: Data engineering, Machine learning, Business intelligence, Analytics engineering. Develop and maintain data pipelines. Build and optimize data models", "postedDate" : "2026-06-14T19:16:23.010", "createdAt" : "2026-06-14T19:16:23.010", "lastUpdated" : "2026-06-16T00:08:33.890", "ingestTimestamp" : "2026-06-14T19:16:23.010", "mongoId" : "6a2ca42974d8ee00a09b06c1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Regression analysis", "Classification modeling", "Clustering analysis", "Time-series forecasting", "A/B testing", "Causal inference", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "Data science", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Modelling skills", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3056dbf292fd229cf2fca6", "title" : "Operations Manager - Commercial Door Systems", "company" : "DH Pace", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Operations Manager in Austin, TX, adjusted for manager seniority and the manufacturing industry." }, "location" : "Austin (Hill Country), TX", "locations" : [ "Austin (Hill Country)", "TX" ], "timestamp" : "2026-06-16T07:09:22.894", "fingerprint" : "401b11ad06d2c081326a1e1d37ff751b7e305db30a0c9b984afdb4580580e5b7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dhpace/jobs/5262257008", "externalId" : "5262257008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceLevel" : "Manager", "rawDescription" : "Why DH Pace? The DH Pace Company is a family-owned and privately held business with annual sales over $1 billion through 60+ offices located across the continental United States. The Company is an industry leader in the distribution, installation, maintenance, and repair of a complete range of commercial, industrial, and residential door, docking and security products. In 2026, DH Pace is celebrating its 100th anniversary in business. DH Pace Company, Inc. is hiring an Operations Manager in Austin, Texas to lead all aspects of Commercial Door Systems to ensure high satisfaction levels are maintained for customer construction projects performed. If you have a passion for managing teams, improving performance, and leading projects to success, we want to hear from you! Bring your experience in management and your technical expertise to our growing team and help us continue to be the trusted name in door solutions. POSITION OVERVIEW: Lead and oversee commercial operations and personnel associated with efficiently, effectively, safely, and profitably Manage and improve operational processes and procedures with the objective of providing maximum profit and return with an emphasis on customer satisfaction and return business Effectively manage operations to ensure sold jobs are timely scheduled and skillfully performed to achieve divisional budgeted sales and gross profit objectives Collaborate to ensure operating budgets and sales goals align and are on track monthly Deliver Profit Dollars and the return on sales that meets or exceeds the yearly financial budget/forecast Establish objectives and action plans and ensure all are consistent with corporate objectives Hire, train and develop new employees; improve individual performance through daily coaching, project outcomes, Scorecard reviews, and performance reviews Effectively lead meetings, set performance expectations and hold employees accountable Communicate with customers directly to solicit feedback, solve problems and/or learn of new sales opportunities QUALIFICATIONS: Bachelor’s degree preferred with a minimum 2 years’ performance as Department Manager, Operations Manager and/or Project Manager in the Service Provider industry with familiarity and knowledge of construction project management and installation of building materials. Possess an ability for technical applications, mechanical/electrical systems and problem solving Experience conducting meetings with exempt and non-exempt personnel, as well as hiring, training, developing and conducting annual performance reviews Must enjoy a high level of activity in a hands-on environment where there is an emphasis on meeting deadlines and providing unmatched customer service What We Offer Comprehensive medical, dental, and vision coverage — available your first full month Generous paid time off plus paid holidays and floating holidays Company-paid life insurance, short-term disability, and long-term disability 401(k) with employer match Health Savings Account (HSA) and Flexible Spending Account (FSA) options Voluntary benefits including supplemental life and critical illness coverage Employee discounts for you and your immediate family Competitive compensation with annual performance reviews Successful completion of references, employment verifications, background check, drug screen, and driving record (if applicable) required in advance of hire. DH Pace Company, Inc. does not accept unsolicited resumes from search firms or agencies. Any resume submitted to any employee of DH Pace Company, Inc. without a prior written search agreement will be considered unsolicited and the property of DH Pace Company, Inc. Please, no phone calls or emails. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)", "summaryDescription" : "Operations Manager - Commercial Door Systems at DH Pace", "postedDate" : "2026-06-15T23:20:11.725", "createdAt" : "2026-06-15T23:20:11.725", "lastUpdated" : "2026-06-16T07:09:22.894", "ingestTimestamp" : "2026-06-15T23:20:11.725", "mongoId" : "6a3056dbf292fd229cf2fca6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "69fababb4c40e2acd17b12d8", "title" : "Senior Analytics Engineer", "company" : "Aimpoint Digital", "industry" : "Consulting", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Analytics Engineer in Atlanta, adjusted for consulting industry and company size." }, "location" : "Atlanta, GA", "locations" : [ "Atlanta", "GA", "London", "GB" ], "timestamp" : "2026-06-15T09:32:35.460", "fingerprint" : "cf8d8fa82e8156ec97b7935324293e740edff405939fd4302bb7ee9c83797706", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://aimpoint-digital.breezy.hr/p/bba70178f3bb-senior-analytics-engineer-2026-us-uk", "externalId" : "bba70178f3bb", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Atlanta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7544657,-84.3898151" } ], "locationText" : "Atlanta, Georgia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, GCP, Azure, S3, Glue, SageMaker, Athena, Vertex AI, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Analytical solutions", "Business problem solving" ], "hardSkillsList" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "Cloud data stacks", "Data modelling" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Analytics engineering", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence" ], "coreResponsibilities" : "Investigate complex business problems, Design end-to-end analytical solutions, Improve existing processes, Derive data-driven insights", "domainKnowledge" : "Regression; Classification; Clustering; Time-series; A/B testing; Causal inference", "domainList" : [ "regression", "classification", "clustering", "time-series", "a-b-testing", "causal-inference" ], "domainSpecificKnowledge" : [ "Regression", "Classification", "Clustering", "Time-series", "A/B testing", "Causal inference" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Do you enjoy working with clients from different industries to investigate complex business problems and designing end-to-end analytical solutions that will improve their existing processes and ability to derive data-driven insights? Aimpoint Digital is a dynamic and fully remote data and analytic", "summaryDescription" : "Senior Analytics Engineer at Aimpoint Digital. Skills: Data science, Data engineering, ML/AI, Business intelligence. Investigate complex business problems. 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ML frameworks; BI platforms; Data modelling; Regression; Classification; Clustering; Time-series analysis; A/B testing; Causal inference; AWS services; GCP services; Azure services", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "data-modelling", "regression", "classification", "clustering", "time-series-analysis", "a-b-testing", "causal-inference", "aws-services", "gcp-services", "azure-services" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Data modelling", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "AWS services", "GCP services", "Azure services" ], "toolProficiency" : [ "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years experience, Bachelor's degree in Statistics, Bachelor's degree in Computer Science, Bachelor's degree in Mathematics, SQL proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow, Experience with Snowflake, Experience with BigQuery, Experience with Redshift, Experience with Databricks, Experience with dbt, Experience with Fivetran, Experience with Airflow, Experience with dbt Cloud, Experience with Delta Lake", "rawDescription" : "ASSYST is seeking an experienced Senior Systems Analyst – Reporting & EDI Analytics to support our client by designing, developing and maintaining complex reports, dashboards, data extracts and analytical solutions. This role is responsible for transforming business and operational data into actionable insights while supporting Electronic Data Interchange (EDI) analysis and data validation activities. The ideal candidate will have strong expertise in SQL, reporting tools, data analysis, dashboard development and healthcare-related data environments. Roles & Responsibilities: Design, develop, implement and maintain complex operational and federally mandated reports. Analyze reporting requirements and identify effective approaches for report generation, dashboard development and data extraction solutions. Develop complex SQL queries, stored procedures and data extraction processes using PostgreSQL and other database platforms. Create interactive reports and dashboards using Tableau, Power BI, or equivalent reporting tools. Identify opportunities to securely share and distribute data across internal and external stakeholders. Perform data analysis and interpretation to support management decision-making, policy development and operational reviews. Evaluate data quality and system functionality using database applications and analytical tools. Analyze business processes and translate reporting requirements into data-driven solutions, reports and dashboards. Collaborate with cross-functional teams in a fast-paced environment to deliver reporting and analytical solutions. Perform Medicaid 8001 Flat File validation and analysis. Review Member Person Index (MPI) records for SSN matching and Master Data Management (MDM) validation. Conduct HBX system error analysis, validate 1095-A and 1095-B files and reconcile Medicaid 8001 transactions. Support development, testing and EDI operations teams by analyzing, troubleshooting, testing and transmitting EDI files on a daily basis. Create data change requests to resolve consumer-reported and system-generated errors. Coordinate with technical and business teams to analyze error reports and perform root cause analysis for transaction rejections. Access and analyze application and database data to identify and resolve system issues. Ensure compliance with all security, change management, project governance and operational procedures. Required Skills & Qualifications: Required Experience: Minimum 5 years of experience in data extraction, data analysis, report generation and dashboard development. Minimum 5 years of experience developing complex SQL queries, stored procedures and custom reports within large-scale IT environments. Minimum 5 years of experience developing reports and dashboards using Tableau, Power BI, or similar reporting platforms. Minimum 2 years of experience translating business requirements into meaningful dashboards and data visualizations. Experience designing, implementing and maintaining reporting databases and data warehouses. Strong understanding of data modeling, data warehousing and ETL processes. Excellent analytical, problem-solving, communication and stakeholder management skills. Ability to manage multiple priorities and deliver results within tight deadlines. Preferred Qualifications: 8+ years of hands-on experience designing and developing complex SQL queries, stored procedures and reporting solutions. 4+ years of experience working with PostgreSQL databases for reporting and4+ years of experience developing advanced Tableau dashboards and analytical reports.. Extensive knowledge of data sources, data flow, system integrations and advanced reporting methodologies. Experience supporting health insurance marketplaces, healthcare organizations, or Health and Human Services programs. Hands-on experience with data visualization, report automation and advanced data analytics. Familiarity with web technologies such as HTML, CSS and JavaScript. Experience with programming languages such as Python, Java, or equivalent technologies. Knowledge of EDI transaction sets including 834, 820 and 999. Understanding of Medicaid and Qualified Health Plan (QHP) eligibility processes. Knowledge of EDI 834 enrollment transactions, including Adds, Terminations, Cancellations and Life Event processing. ASSYST is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin or any other characteristic protected under federal, state, or applicable local law.", "summaryDescription" : "Senior Systems Analyst – Reporting & EDI Analytics at ASSYST, Inc.. Skills: Data science, Data engineering, Machine learning, Business intelligence", "postedDate" : "2026-06-14T18:34:38.882", "createdAt" : "2026-06-14T18:34:38.882", "lastUpdated" : "2026-06-16T06:05:35.317", "ingestTimestamp" : "2026-06-14T18:34:38.882", "mongoId" : "6a2c941a74d8ee00a0989afc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical methods", "Machine learning", "Data modelling", "Data science", "Data engineering", "Business intelligence", "ML engineering", "Analytics engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "AWS services", "GCP services", "Azure services", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "skillCount" : 56, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca05474d8ee00a09a1e71", "title" : "Senior Systems Engineer", "company" : "Saronic Technologies", "industry" : "Operations", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Systems Engineer in Austin, TX, adjusted for seniority, technology industry, and onsite work mode." }, "location" : "Austin, TX", "locations" : [ "Austin, TX" ], "timestamp" : "2026-06-16T05:11:27.142", "fingerprint" : "e5c4df7b584b71e6d71323702372c8cc4129a6885d6c739a23f897eabcf2420c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/saronic/c77a1355-5cae-4aa9-bc77-01c3b2273bc8/application", "externalId" : "c77a1355-5cae-4aa9-bc77-01c3b2273bc8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Windows Server, Linux, AWS, Azure, GCP, PowerShell, Bash, Python", "professionalSkills" : [ "Systems design", "Infrastructure management", "Automation", "Problem-solving" ], "hardSkillsList" : [ "Data center infrastructure", "Monitoring solutions", "Disaster recovery", "Business continuity", "Storage optimization", "Compute optimization", "Networking integration" ], "hardSkills" : [ { "name" : "Data center infrastructure", "level" : "intermediate" }, { "name" : "Monitoring solutions", "level" : "intermediate" }, { "name" : "Disaster recovery", "level" : "intermediate" }, { "name" : "Business continuity", "level" : "intermediate" }, { "name" : "Storage optimization", "level" : "intermediate" }, { "name" : "Compute optimization", "level" : "intermediate" }, { "name" : "Networking integration", "level" : "intermediate" } ], "majorSkills" : "Data center infrastructure, Hybrid cloud, Windows Server, Linux", "majorSkillsList" : [ "Data center infrastructure", "Hybrid cloud", "Windows Server", "Linux" ], "coreResponsibilities" : "Lead architecture deployment, Lead lifecycle management, Design scalable systems, Implement scalable systems, Design secure systems, Implement secure systems, Design resilient systems, Implement resilient systems, Administer Windows systems, Maintain Windows systems, Administer Linux systems, Maintain Linux systems, Develop backup strategies, Enforce backup strategies, Develop disaster recovery strategies, Enforce disaster recovery strategies, Develop business continuity strategies, Enforce business continuity strategies, Optimize storage infrastructure, Optimize compute infrastructure, Collaborate with teams, Support application needs, Support integration projects, Document systems designs, Document procedures, Document configurations, Provide knowledge transfer, Monitor systems performance, Monitor systems reliability, Troubleshoot issues, Ensure compliance, Respond to incidents", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Maritime operations; Autonomous platforms; High-performance computing", "domainList" : [ "maritime-operations", "autonomous-platforms", "high-performance-computing" ], "domainSpecificKnowledge" : [ "Maritime operations", "Autonomous platforms", "High-performance computing" ], "toolProficiency" : [ "Veeam", "Commvault", "Rubrik", "NetApp", "Dell EMC", "Ceph", "VMware", "Hyper-V" ], "documentationSkills" : "Document systems designs; Document procedures; Document configurations", "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "On-call rotation, U.S. Person status required", "qualificationsBasic" : "7+ years systems engineering, Proficiency in Windows Server, Proficiency in Linux, Data center design experience, Backup and disaster recovery knowledge, Cloud platforms experience, Enterprise storage solutions experience, Virtualization technologies experience, Scripting and automation skills, Networking fundamentals understanding", "qualificationsPreferred" : "High-performance computing (HPC) foundation, AWS GovCloud experience, GCP experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "Saronic Technologies is a leader in revolutionizing autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations through autonomous and intelligent platforms. JOB OVERVIEW We are seeking a highly skilled and motivated Senior Systems Engineer to lead the design, deployment, and ongoing maintenance of our data center infrastructure. This position is critical to supporting our mission-critical systems and ensuring high availability, scalability, and performance across both on-premise and cloud environments. The ideal candidate will have deep technical expertise in both Windows and Linux environments, extensive experience with monitoring and disaster recovery solutions, and a strong foundation in virtualization, cloud services, storage, and preferably high-performance computing (HPC). This role requires a hands-on, detail-oriented engineer who thrives in a fast-paced, high-growth environment. RESPONSIBILITIES - Lead architecture, deployment, and lifecycle management of data center infrastructure components. - Design and implement scalable, secure, and resilient systems in hybrid environments (on-prem and cloud). - Administer and maintain enterprise Windows and Linux systems. - Develop and enforce backup, disaster recovery, and business continuity strategies. - Optimize storage and compute infrastructure for high performance and cost-effectiveness. - Collaborate with cross-functional teams to support application needs and integration projects. - Document systems designs, procedures, configurations, and provide knowledge transfer. - Proactively monitor systems performance and reliability, and troubleshoot issues as they arise. - Ensure compliance with industry standards and internal security policies. - Participate in an on-call rotation and respond to incidents with urgency and professionalism. QUALIFICATIONS - Bachelor’s degree in computer science, Information Systems, Engineering, or related field (or equivalent experience). - 7+ years of experience in systems engineering or infrastructure roles. - Proficiency in both Windows Server and Linux (RHEL/CentOS/Ubuntu) environments. - Proven experience in data center design, build-out, and operations. - Strong knowledge of backup and disaster recovery solutions (e.g., Veeam, Commvault, Rubrik). - Experience with cloud platforms such as AWS/AWS GovCloud, Azure, or GCP. - Familiarity with enterprise storage solutions (e.g., NetApp, Dell EMC, Ceph). - Experience with virtualization technologies (e.g., VMware, Hyper-V). - Strong scripting and automation skills (e.g., PowerShell, Bash, Python). - Understanding of networking fundamentals and integration with infrastructure systems. - Excellent problem-solving skills, with the ability to multitask and work under pressure. PHYSICAL DEMANDS: - Prolonged periods of sitting at a desk and working on a computer - Occasional standing and walking within the office - Manual dexterity to operate a computer keyboard, mouse, and other office equipment - Visual acuity to read screens, documents, and reports - Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies - Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages) BENEFITS: Medical Insurance: Comprehensive health insurance plans covering a range of services Saronic pays 100% of the premium for employees and 80% for dependents Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care Saronic pays 100% of the premium under the basic plan for employees and 80% for dependents Time Off: Generous PTO and Holidays Parental Leave: Paid maternity and paternity leave to support new parents Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses Retirement Plan: 401(k) plan with company match Stock Options: Equity options to give employees a stake in the company’s success Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage Pet Insurance: Discounted pet insurance options including 24/7 Telehealth helpline Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office Saronic CCPA Notice for Candidates and California Employees https://saronic-assets-public.s3.us-east-2.amazonaws.com/Saronic%20CCPA%20Notice%20for%20Candidates%20and%20California%20Employees.pdf If this role is based in the United States, it requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3) https://www.govinfo.gov/link/uscode/8/1324b. Saronic does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We are also committed to providing reasonable accommodations for qualified individuals with disabilities.", "summaryDescription" : "Senior Systems Engineer at Saronic Technologies. Skills: Data center infrastructure, Hybrid cloud, Windows Server, Linux. Lead architecture deployment. Lead lifecycle management", "createdAt" : "2026-06-14T20:12:14.446", "lastUpdated" : "2026-06-16T05:11:27.142", "ingestTimestamp" : "2026-06-14T20:12:14.446", "mongoId" : "6a2ca05474d8ee00a09a1e71", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data center infrastructure", "Monitoring solutions", "Disaster recovery", "Business continuity", "Storage optimization", "Compute optimization", "Networking integration", "Hybrid cloud", "Windows Server", "Linux", "Systems design", "Infrastructure management", "Automation", "Problem-solving", "Maritime operations", "Autonomous platforms", "High-performance computing", "Veeam", "Commvault", "Rubrik", "NetApp", "Dell EMC", "Ceph", "VMware", "Hyper-V" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a308253f292fd229c06d1a9", "title" : "Systems Engineer", "company" : "TSC", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-Senior Systems Engineer in Bloomington, United States, adjusted for the technology industry and full-time employment." }, "location" : "Bloomington, IN", "locations" : [ "Bloomington, IN", "United States of America" ], "timestamp" : "2026-06-16T11:47:27.161", "fingerprint" : "69880f2fa4c082d4c83def975096c0109be21df8d380a6ff1a093659b91ec4af", "source" : "workday", "language" : "en", "applyUrl" : "https://tsc.wd12.myworkdayjobs.com/TSC-Careers/job/Bloomington-IN/Mid-Senior-level-Systems-Engineer_JR2635", "externalId" : "JR2635", "industryFunction" : { }, "locationPoint" : "44.8408,-93.29828", "structuredLocations" : [ { "city" : "Bloomington", "state" : "Indiana", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.1670396,-86.5342881" } ], "locationText" : "Bloomington, Indiana, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Mid-Senior", "remoteFriendly" : false, "rawDescription" : "TSC is seeking an **Systems Engineer** in**Bloomington, IN**. TSC offers a professional working environment, a competitive salary, and an excellent benefits package. Come and join our team! **Responsibilities:** This position requires a flexible individual with experience in **Systems Engineering Design**. * Work with other engineers to document the design of each project. * Will support a project by creating trade studies, test strategy reports, diagrams, spreadsheets, and drawings as needed. * Develop necessary schematics, programming guides, and other required documentation. * Track project progress and design during lifecycle. **Required Qualifications:** * Bachelor’s degree in Engineering with 3-10 years of experience * U.S. Citizen and the ability to obtain and maintain a DoD Secret Clearance * Strong communication skills, both written and oral * Ability to multi-task and support multiple priorities * Excellent teamwork and interpersonal skills * Detail oriented and excellent organizational skills * Self-Driven * Able to work independently or in a team environment **Preferred Qualifications:** * Understanding of electrical circuits and wiring * Software: NI LabVIEW, C, C++ * Engineering management * Manage complex systems over their life cycles * Experienced with MS Project, MS Visio, and MS Excel * Systems Engineering * 2+ years of applied engineering experience **TSC Benefits:** TSC offers a stable work environment, a competitive salary, and a comprehensive benefit package; including ESOP participation, 401k Plan, Flexible Work Schedules, Tuition Reimbursement, Co-Sponsored Health Plan, Paid Leave and much more. **Applying to TSC:** Only those candidates invited for an interview will be contacted. Employment at TSC is contingent upon the successful completion of a comprehensive background check, security investigation, and a drug screening. This contractor and subcontractor shall abide by the requirements of 41 CFR 60–1.4(a), 60–300.5(a) and 60–741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity, national origin, or for inquiring about, discussing, or disclosing information about compensation. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.", "summaryDescription" : "Systems Engineer at TSC", "postedDate" : "2026-06-16T04:04:38.925", "createdAt" : "2026-06-16T04:04:38.909", "lastUpdated" : "2026-06-16T11:47:27.161", "ingestTimestamp" : "2026-06-16T04:04:38.909", "mongoId" : "6a308253f292fd229c06d1a9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://tsc.wd12.myworkdayjobs.com/TSC-Careers/job/Bloomington-IN/Mid-Senior-level-Systems-Engineer_JR2635", "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307662f292fd229c0190f2", "title" : "Senior Commercial Executive", "company" : "Getnet", "industry" : "FinTech", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Commercial Executive in São Paulo, Brazil, adjusted for the FinTech industry and company size." }, "location" : "São Paulo, Brazil", "locations" : [ "São Paulo", "Brazil" ], "timestamp" : "2026-06-16T11:36:47.293", "fingerprint" : "3ffba299cdfb1013e7a0694cbaa7784b8728e9fe6befa7cd0f45926704afdbdc", "source" : "greenhouse", "language" : "pt", "applyUrl" : "https://job-boards.eu.greenhouse.io/getnet/jobs/4892850101", "externalId" : "4892850101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "São Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "São Paulo, Brazil", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Gestão de carteira", "Relacionamento executivo", "Negociações comerciais", "Renovações contratuais", "Revisões de pricing" ], "hardSkillsList" : [ "Cross-sell", "Upsell" ], "hardSkills" : [ { "name" : "Cross-sell", "level" : "intermediate" }, { "name" : "Upsell", "level" : "intermediate" } ], "majorSkills" : "Gestão de contas, Crescimento de receita, Relacionamento com cliente", "majorSkillsList" : [ "Gestão de contas", "Crescimento de receita", "Relacionamento com cliente" ], "coreResponsibilities" : "Gerenciar carteira de clientes, Desenvolver relacionamentos executivos, Elaborar planos de crescimento, Executar planos de crescimento, Identificar oportunidades de cross-sell, Identificar oportunidades de upsell, Conduzir negociações comerciais, Conduzir renovações contratuais, Conduzir revisões de pricing, Monitorar indicadores de performance, Monitorar rentabilidade, Monitorar utilização dos serviços, Atuar como ponto de contato, Apoiar clientes temas, Garantir retenção da carteira, Garantir expansão da carteira, Acompanhar tendências regulatórias, Acompanhar tendências competitivas", "teamCollaboration" : "Ponto de contato cliente; Áreas internas", "domainKnowledge" : "Soluções de pagamento; Adquirência; Split de Pix; Tokenização; Liquidação; Regulamentação do Banco Central; Instituições de pagamento; Mercado de pagamentos", "domainList" : [ "solucoes-de-pagamento", "adquirencia", "split-de-pix", "tokenizacao", "liquidacao", "regulamentacao-do-banco-central", "instituicoes-de-pagamento", "mercado-de-pagamentos" ], "domainSpecificKnowledge" : [ "Soluções de pagamento", "Adquirência", "Split de Pix", "Tokenização", "Liquidação", "Regulamentação do Banco Central", "Instituições de pagamento", "Mercado de pagamentos" ], "continuousLearning" : "Aprender novo idioma; Plataforma de learning", "outcomesObjectives" : "Crescimento de receita por cliente; Retenção da carteira; Expansão da carteira", "qualificationsBasic" : "Formação superior, Experiência gestão de contas estratégicas (Farmer)", "qualificationsPreferred" : "Ingles e/ou Espanhol nível intermediário ou superior, Conhecimento da regulamentação do Banco Central aplicável a instituições de pagamento, Conhecimento da Resolução BCB nº 522, 264, Experiência empresas de adquirência, subadquirência, fintechs ou processadoras", "workSiteFlexibility" : "Flexible", "rawDescription" : "✨ Seu talento impulsiona o nosso futuro A Getnet é uma empresa global de tecnologia especializada em soluções de pagamento para o comércio. Fundada no Brasil e presente na América Latina e na Península Ibérica, apoiamos mais de 1,3 milhão de comerciantes com serviços completos — da maquininha ao e-commerce. Fazemos parte da PagoNxt, a fintech global do Grupo Santander, e atuamos como um hub de adquirência com forte presença em Espanha, Portugal, Brasil, México, Chile, Argentina e Uruguai. Nossa missão é clara: simplificar os pagamentos com inovação, segurança e escala, ajudando negócios de todos os tamanhos a crescer com agilidade. Oferecemos uma plataforma unificada que integra hardware, software, prevenção à fraude, adquirência, conciliação e serviços financeiros — tudo em um só ecossistema, para que nossos clientes possam focar no crescimento do seu negócio. Fazer parte da Getnet é se juntar a uma empresa que combina a inovação de uma fintech com a solidez de um banco global. Imagine your future. Care for your career. Simplify your journey. Isso significa que você terá a chance de construir soluções de impacto, crescer com oportunidades reais de desenvolvimento e evoluir em uma cultura que valoriza bem-estar, inclusão e clareza. Combinamos flexibilidade, autonomia e colaboração global — para que você possa focar no que importa, se conectar com propósito e ajudar a moldar o futuro. Aqui, você vai encontrar espaço para crescer, oportunidades reais para liderar e uma cultura onde todas as pessoas pertencem e contribuem. ✨ Se você quer fazer parte da próxima geração de soluções financeiras, este é o lugar certo. Já te imagina sendo Nxter? Na Getnet, estamos buscando uma pessoa para a vaga de Executivo Comercial Farmer para se juntar ao nosso time em São Paulo. \uD83D\uDCCCO que você vai fazer Gerenciar uma carteira de clientes do segmento de subadquirência. Desenvolver relacionamentos executivos com tomadores de decisão (C-Level, Diretores e Heads). Elaborar e executar planos de crescimento de receita por cliente. Identificar oportunidades de cross-sell e upsell de soluções de pagamentos. Conduzir negociações comerciais, renovações contratuais e revisões de pricing. Monitorar indicadores de performance, rentabilidade e utilização dos serviços contratados. Atuar como principal ponto de contato entre cliente e áreas internas. Apoiar clientes em temas relacionados a: Adquirência; Gateway; Split de pagamentos; Pix; Tokenização; Antifraude; Liquidação financeira; Regulamentação do Banco Central. Garantir retenção e expansão da carteira. Acompanhar tendências regulatórias e competitivas do mercado de pagamentos. ✅ O que buscamos em você Formação superior. Experiência em gestão de contas estratégicas (Farmer). ✅ O que pode contar pontos a mais Ingles e/ou Espanhol nível intermediário ou superior Conhecimento da regulamentação do Banco Central aplicável a instituições de pagamento. Conhecimento da Resolução BCB nº 522, 264. Experiência em empresas de adquirência, subadquirência, fintechs ou processadoras. \uD83C\uDFAF O que oferecemos \uD83E\uDE7A Assistência médica \uD83E\uDDB7 Assistência odontológica \uD83E\uDD73 Day off de aniversário \uD83D\uDE91 Seguro de vida \uD83D\uDC89 Campanha de vacinação anual \uD83D\uDE8C VT \uD83C\uDF5D VR/VA \uD83D\uDCB0 Bônus anual \uD83D\uDC76 Auxílio creche \uD83C\uDF85 Vale natalino \uD83E\uDD30 Extensão dos períodos de licença maternidade e paternidade \uD83E\uDDE0 Programa de Apoio Pessoal Especializado (PAPE) \uD83C\uDF0E Plataforma Ástex: recurso gratuito para você aprender um novo idioma (inglês, espanhol, francês, italiano, alemão ou português) \uD83D\uDCDA Acesso a uma plataforma de learning conectada a todos os conteúdos do LinkedIn Learning e o'Reilly ♨️ Possibilidade de contratação de empréstimos pessoais com juros menores que os de mercado \uD83D\uDCEC Seguinte passo Candidate-se e se você conhece alguém que possa estar procurando por essa oportunidade, compartilhe.", "summaryDescription" : "Senior Commercial Executive at Getnet. Skills: Gestão de contas, Crescimento de receita, Relacionamento com cliente. Gerenciar carteira de clientes. Desenvolver relacionamentos executivos", "postedDate" : "2026-06-16T01:16:38.223", "createdAt" : "2026-06-16T01:16:38.223", "lastUpdated" : "2026-06-16T11:36:47.293", "ingestTimestamp" : "2026-06-16T01:16:38.223", "mongoId" : "6a307662f292fd229c0190f2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Cross-sell", "Upsell", "Gestão de contas", "Crescimento de receita", "Relacionamento com cliente", "Gestão de carteira", "Relacionamento executivo", "Negociações comerciais", "Renovações contratuais", "Revisões de pricing", "Soluções de pagamento", "Adquirência", "Split de Pix", "Tokenização", "Liquidação", "Regulamentação do Banco Central", "Instituições de pagamento", "Mercado de pagamentos" ], "skillCount" : 18, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306037f292fd229cf885d7", "title" : "Senior / Staff Turbomachinery Systems Engineer", "company" : "Antora Energy", "industry" : "Climate Tech", "salary" : { "min" : 154000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Jose, California, United States", "locations" : [ "San Jose", "California", "United States" ], "certifications" : [ "Professional Engineer license" ], "timestamp" : "2026-06-16T09:02:18.429", "fingerprint" : "4935eb26b1a3a66bb079a6669706ec3b8dd59d86714fb65dd79074431dea28d6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/antora/jobs/6026868004", "externalId" : "6026868004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Jose", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3361663,-121.8905910" } ], "locationText" : "San Jose, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Steam turbine systems, SCO₂ cycles, Brayton cycles, Thermal performance, Mechanical systems, Process systems, Electrical systems, Controls systems, Cycle modeling, Thermoflow, STEAM PRO, PEACE, Ebsilon, IPSEpro, Python, MATLAB, ChemCAD, HYSYS", "professionalSkills" : [ "System definition", "System integration", "Trade studies", "Cross-discipline integration", "Third-party interfaces", "RFP development", "Bid evaluation", "Technical clarifications", "Design reviews", "Contract negotiation", "AI-enabled engineering", "Engineering productivity", "Technical rigor", "Team execution", "Trade study development", "Requirements traceability", "Technical documentation", "Bid evaluations", "Analysis reporting", "Field support", "Performance testing", "Troubleshooting", "Design improvements", "Fleet optimization" ], "hardSkillsList" : [ "Cycle modeling", "Off-design analysis", "Part-load analysis" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "Cycle modeling", "level" : "intermediate" }, { "name" : "Off-design analysis", "level" : "intermediate" }, { "name" : "Part-load analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "Turbomachinery systems, Steam turbine systems, System architecture, AI-enabled engineering", "majorSkillsList" : [ "Turbomachinery systems", "Steam turbine systems", "System architecture", "AI-enabled engineering" ], "coreResponsibilities" : "Lead steam turbine system definition, Define steam turbine sizing, Conduct trade studies for steam turbine islands, Balance thermal performance, Balance capital cost, Balance operability, Balance execution schedule, Balance long-term reliability, Influence plant-level decisions, Drive cross-discipline integration, Serve as technical lead for turbine OEM engagement, Serve as technical lead for EPC engagement, Develop RFPs, Evaluate bids, Clarify technical details, Support contract negotiation, Identify AI tools, Implement AI workflows, Improve engineering productivity, Increase technical rigor, Support team execution, Support commissioning, Support performance testing, Support troubleshooting, Support early operations, Translate field learnings into design improvements", "teamCollaboration" : "Cross-functional stakeholders; Turbine OEM engagement; EPC engagement; Internal engineering teams", "projectManagementSkills" : [ "Execution schedule" ], "domainKnowledge" : "Thermal energy storage; Heat-to-power; Combined heat and power; Industrial operations; Data centers; Steam turbine systems; Adjacent cycles; sCO₂ cycles; Brayton cycles; Cycle conditions; Heat rejection architecture; Extraction strategy; Regeneration strategy; Startup behavior; Transient behavior; Cycling operation; Baseload operation; Thermal energy storage applications; High-temperature systems; Energy conversion; Power plant operations; Industrial process systems", "domainList" : [ "thermal-energy-storage", "heat-to-power", "combined-heat-and-power", "industrial-operations", "data-centers", "steam-turbine-systems", "adjacent-cycles", "sco-cycles", "brayton-cycles", "cycle-conditions", "heat-rejection-architecture", "extraction-strategy", "regeneration-strategy", "startup-behavior", "transient-behavior", "cycling-operation", "baseload-operation", "thermal-energy-storage-applications", "high-temperature-systems", "energy-conversion", "power-plant-operations", "industrial-process-systems" ], "domainSpecificKnowledge" : [ "Thermal energy storage", "Heat-to-power", "Combined heat and power", "Industrial operations", "Data centers", "Steam turbine systems", "Adjacent cycles", "sCO₂ cycles", "Brayton cycles", "Cycle conditions", "Heat rejection architecture", "Extraction strategy", "Regeneration strategy", "Startup behavior", "Transient behavior", "Cycling operation", "Baseload operation", "Thermal energy storage applications", "High-temperature systems", "Energy conversion", "Power plant operations", "Industrial process systems" ], "toolProficiency" : [ "Thermoflow", "STEAM PRO", "PEACE", "Ebsilon", "IPSEpro", "Python", "MATLAB", "ChemCAD", "HYSYS" ], "communicationSkills" : "Technical documentation; Bid evaluations; Alignment across stakeholders", "innovationCreativity" : "AI-enabled tools and workflows", "problemSolvingSkills" : "Critical thinking; Problem-solving; First-principles perspective", "outcomesObjectives" : "Meet Antora’s technical objectives; Meet Antora’s commercial objectives; Improve engineering work", "qualificationsBasic" : "Bachelor's degree or equivalent experience in mechanical, electrical, chemical, systems engineering, or related technical field, 8+ years of professional experience in steam turbine systems design, architecture, integration, or major energy project execution, Proven ability to operate across multiple engineering disciplines, Hands-on cycle modeling experience with Thermoflow, STEAM PRO, PEACE, Ebsilon, IPSEpro, or equivalent tools, Demonstrated experience leading technical interfaces with turbine OEMs, EPCs, or major equipment suppliers, Interest in using AI tools to improve engineering workflows, Critical thinking and problem-solving skills, Experience working in a fast-paced, team-oriented environment with shifting priorities and high technical ambiguity", "qualificationsPreferred" : "Advanced degree in a related engineering field, Experience with concentrated solar power technology, Experience with thermal cycles, Experience with heat transfer oils, Experience with molten salt systems, Experience with high-temperature thermal systems, Experience with energy conversion, Experience with power plant operations, Experience with industrial process systems, Experience with equipment, instrumentation, and controls, Familiarity with simulation and modeling tools, Professional Engineer license", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Antora builds and deploys thermal energy storage to power always-on industrial operations and data centers with low-cost energy. Factory-built in California, Antora’s thermal batteries deliver reliable and cost-effective heat and power for industrial loads of any size. Antora is electrifying global industry while supporting U. S. manufacturing jobs, lowering costs for energy consumers, and enhancing the competitiveness of American industry. We are growing our company with people who put team and mission first, value connection through laughter and joy, and build with humility and openness. We are committed to continue building a diverse, passionate, and creative team dedicated to a future where every industrial facility, everywhere on earth, is powered by abundant, clean, low-cost energy. About The Role Antora Energy is building thermal energy storage plants that deliver zero-carbon industrial heat and power at scale. We are looking for a Senior / Staff Turbomachinery Systems Engineer to lead the definition, integration, and execution of the power island across our heat-to-power and combined heat and power projects. As a key member of Antora’s engineering team, you will own steam turbine system architecture for heat-to-power and CHP applications, making cross-functional trade-off decisions across thermal, mechanical, process, electrical, and controls systems. Your work will directly influence plant cost, performance, reliability, operability, and execution risk. You will work closely with EPC partners, turbine OEMs, and internal engineering teams to translate project requirements into executable designs that meet Antora’s technical and commercial objectives. This role will shape projects from early concept development through execution, commissioning, operations, and future fleet optimization. We are also looking for someone who is excited to improve how engineering work gets done. You will help identify and apply AI-enabled tools and workflows to accelerate analysis, streamline technical evaluations, and increase team leverage across design, execution, and operations. What You'll Do System Definition Lead steam turbine system definition, sizing, and trade studies for steam turbine islands and adjacent cycles, including sCO₂ and Brayton cycles where applicable. Balance thermal performance, capital cost, operability, execution schedule, and long-term reliability. Influence plant-level decisions related to cycle conditions, heat rejection architecture, extraction and regeneration strategy, startup and transient behavior, and cycling versus baseload operation in thermal energy storage applications. System Integration Drive cross-discipline integration across thermal, mechanical, process, electrical, and controls scope, from heat source interface through generator terminals and balance-of-plant tie-ins. Third-Party Interfaces Serve as the technical lead for turbine OEM and EPC engagement, including RFP development, bid evaluation, technical clarifications, design reviews, and contract negotiation support. Ensure technical decisions support project economics and customer commitments. AI-Enabled Engineering Workflows Identify and implement AI tools and workflows that improve engineering productivity, technical rigor, and team execution. Examples may include accelerating trade study development, improving requirements traceability, summarizing technical documentation, supporting bid evaluations, and streamlining recurring analysis and reporting. Field Support Support commissioning, performance testing, troubleshooting, and early operations for first-of-a-kind plant startups. Translate field learnings into design improvements for future projects and fleet deployment. What We're Looking For Bachelor’s degree or equivalent experience in mechanical, electrical, chemical, systems engineering, or a related technical field. 8+ years of professional experience in steam turbine systems design, architecture, integration, or major energy project execution. Proven ability to operate across multiple engineering disciplines, including mechanical, electrical, thermal, fluids, and controls. Hands-on cycle modeling experience with Thermoflow, STEAM PRO, PEACE, Ebsilon, IPSEpro, or equivalent tools, including off-design and part-load analysis. Demonstrated experience leading technical interfaces with turbine OEMs, EPCs, or major equipment suppliers. Strong interest in using AI tools to improve engineering workflows, increase productivity, and strengthen technical decision-making. Strong critical thinking and problem-solving skills, with the ability to investigate complex issues from a first-principles perspective. Experience working in a fast-paced, team-oriented environment with shifting priorities and high technical ambiguity. Strong communication skills, with the ability to drive alignment across cross-functional stakeholders. Bonus Qualifications Advanced degree, such as an MS or PhD, in a related engineering field. Experience with concentrated solar power technology, thermal cycles, heat transfer oils, or molten salt systems. Experience with high-temperature thermal systems, energy conversion, and power plant operations. Experience with industrial process systems, equipment, instrumentation, and controls. Familiarity with simulation and modeling tools such as Python, MATLAB, ChemCAD, HYSYS, or equivalent. Professional Engineer license. Work Location: Onsite in San Jose, CA Salary Range: $154-200k USD Salary Basis: Please note that the salary range listed above reflects Antora Energy's estimated pay for this position. The actual salary offered will be within the posted range and determined based on several factors including but not limited to a candidate's experiences, credentials and expertise, as they pertain to the position's requirements. In addition to a competitive base salary, Antora Energy’s Total Rewards program includes equity compensation in the form of stock options, a premium health benefits package with life and disability insurance, a 401K plan with employer contributions, flexible spending accounts, and an industry leading paid-time-off policy that features flexible and inclusive holiday observance, as well as paid volunteer time off. When it comes to stopping climate change, we need everyone. We believe that having a diversity of backgrounds and experiences strengthens all of us, and we strive to create an environment where every one of us is empowered to create meaningful change.", "summaryDescription" : "Senior / Staff Turbomachinery Systems Engineer at Antora Energy. Skills: Turbomachinery systems, Steam turbine systems, System architecture, AI-enabled engineering. Lead steam turbine system definition. Define steam turbine sizing", "postedDate" : "2026-06-15T23:25:23.233", "createdAt" : "2026-06-15T23:25:23.233", "lastUpdated" : "2026-06-16T09:02:18.429", "ingestTimestamp" : "2026-06-15T23:25:23.233", "mongoId" : "6a306037f292fd229cf885d7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 154000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Cycle modeling", "Off-design analysis", "Part-load analysis", "Critical thinking", "Turbomachinery systems", "Steam turbine systems", "System architecture", "AI-enabled engineering", "System definition", "System integration", "Trade studies", "Cross-discipline integration", "Third-party interfaces", "RFP development", "Bid evaluation", "Technical clarifications", "Design reviews", "Contract negotiation", "Engineering productivity", "Technical rigor", "Team execution", "Trade study development", "Requirements traceability", "Technical documentation", "Bid evaluations", "Analysis reporting", "Field support", "Performance testing", "Troubleshooting", "Design improvements", "Fleet optimization", "Execution schedule", "Thermal energy storage", "Heat-to-power", "Combined heat and power", "Industrial operations", "Data centers", "Adjacent cycles", "sCO₂ cycles", "Brayton cycles", "Cycle conditions", "Heat rejection architecture", "Extraction strategy", "Regeneration strategy", "Startup behavior", "Transient behavior", "Cycling operation", "Baseload operation", "Thermal energy storage applications", "High-temperature systems", "Energy conversion", "Power plant operations", "Industrial process systems", "Professional Engineer license", "Thermoflow", "STEAM PRO", "PEACE", "Ebsilon", "IPSEpro", "Python", "MATLAB", "ChemCAD", "HYSYS" ], "skillCount" : 63, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7a9f74d8ee00a09461bc", "title" : "Senior Data Engineer, Analytics", "company" : "Apptegy", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Data Engineer in Bulgaria, adjusted for the education industry and remote work." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T01:07:32.467", "fingerprint" : "c9f0d7724af62856f1ed343299fb842e9002d35bf5ef0272120603b1c229b42a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.apptegy.com/careers/?gh_jid=4202928009", "externalId" : "4202928009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Who We Are At Apptegy, we are more than a tech company; we are partners dedicated to transforming how schools communicate and shape the future of education. Your work here will directly empower districts to share their stories, engage their communities, and celebrate student success. We're a team of thoughtful, high-performing individuals committed to making a tangible impact. If you're looking for a dynamic environment where you'll be supported with exceptional mentorship and resources to grow your career, come build with us. The Role As a Senior Data Engineer at Apptegy, you’ll play a key role in shaping the architecture, performance, and scalability of our platform. This role is a unique hybrid that bridges traditional application development with data engineering. You will be responsible for building and scaling our analytics and data platform. You will own the delivery of reliable, high-performing software and data systems, working primarily with our Ruby on Rails backend services, while building efficient data pipelines to transfer and transform data from PostgreSQL to Snowflake. This role is ideal for an engineer who thrives in a fast-paced environment and enjoys building systems from the ground up that provide meaningful, real-time insights to educators and students. What You’ll Do Technical Execution relevant certifications (AWS Certified Solutions Architect Associate, AWS Certified Data Engineer) are a plus Database Technologies: Experience with database technologies (e.g., RDS/Aurora PostgreSQL, Snowflake). Experience replicating data via Change Data Capture (CDC) from PostgreSQL to Snowflake. Semantic Layers: Familiarity with Semantic reporting layers and headless BI frameworks (e.g., Cube.dev) to support consistent, scalable in-product analytics. DevOps & Infrastructure: Knowledge of DevOps practices and tools (e.g., Terraform, CI/CD, Docker, Kubernetes). AI-Enhanced Development & Testing: Proficiency in leveraging AI coding assistants (e.g., Cursor, Claude Code) to accelerate code generation, refactoring, and the development of robust unit and integration tests across the full stack (Vue.js, Ruby on Rails). Industry Experience: Experience in the education technology sector. Why Apptegy Join a team that’s committed to your success. At Apptegy, we’re passionate about creating an environment where you can do your best work and find true fulfillment. We believe in investing in our people—both professionally and personally—because your well-being drives our collective impact. US Employee Benefits: Comprehensive medical, dental, vision, and life insurance coverage Retirement 401(k) with employer match Health Savings Accounts (HSA) and Flexible Spending Accounts (FSAs) Mental Health Reimbursement Unlimited paid time off, including seasonal (December) company-wide time off Paid parental and medical leave MX Employee Benefits: Private medical insurance for you and your dependents Life insurance 15 days Aguinaldo Vales de Despensa Fondo de Ahorro Caja de Ahorro Flexible paid time off policy Paid travel to/from Little Rock, Arkansas for Onboarding. Apptegy champions the thoughtful integration of AI to empower our teams and processes. As we seek to understand your individual capabilities and how you might contribute, we ask that all responses to application questions and during interviews are genuinely your own. Please refrain from using AI generation tools, as our aim is to assess your authentic voice and expertise. Equal Opportunity Employer Apptegy is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.", "summaryDescription" : "Senior Data Engineer, Analytics at Apptegy", "postedDate" : "2026-06-14T19:09:39.312", "createdAt" : "2026-06-14T19:09:39.312", "lastUpdated" : "2026-06-16T01:07:32.467", "ingestTimestamp" : "2026-06-14T19:09:39.312", "mongoId" : "6a2c7a9f74d8ee00a09461bc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3051e4f292fd229cf08733", "title" : "Analytics Engineer II", "company" : "IVX Health", "industry" : "Healthcare", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Analytics Engineer II in Brentwood, United States, adjusted for mid-seniority and full-time employment in the healthcare industry." }, "location" : "Brentwood, Tennessee, United States", "locations" : [ "Brentwood", "Tennessee", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T05:47:04.386", "fingerprint" : "a1628a38e8414f926ebc4bdec3af02075abed7d76e903440bb105b41039cb5eb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ivxhealth/jobs/4284144009", "externalId" : "4284144009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Brentwood", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "36.0325687,-86.7825235" } ], "locationText" : "Brentwood, Tennessee, United States", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data warehousing", "ETL development", "Data pipeline development", "Database management", "Statistical modeling", "Machine learning implementation", "Data visualization", "Cloud computing" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL development", "level" : "intermediate" }, { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning implementation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Analytics engineering, Machine learning", "majorSkillsList" : [ "Data engineering", "Analytics engineering", "Machine learning" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and optimize data models, Implement machine learning models, Create and maintain BI dashboards, Perform data analysis, Ensure data quality and integrity, Collaborate with stakeholders, Document data processes", "teamCollaboration" : "Cross-functional teams; Data science teams; Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "Healthcare data", "domainList" : [ "healthcare-data" ], "domainSpecificKnowledge" : [ "Healthcare data" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Data analysis; Troubleshooting", "qualificationsBasic" : "3-5 years of experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "IVX Health is growing fast and on a mission to redefine the patient experience through high-quality care in a comfortable setting. As we grow rapidly, we’re seeking a talented Analytics Engineer II to join our collaborative team in the Brentwood/Nashville area. This hybrid role offers the best of both worlds: the energy of in-office collaboration at our vibrant headquarters paired with the flexibility of remote work. The ideal candidate will be a problem-solver with a strong background in data engineering and analytics, capable of designing scalable data models, building insightful dashboards, and delivering impactful business solutions in a fast-paced environment. About the Role As an Analytics Engineer II, you will play a key role on our Finance or comparable technical certification/training 3-5 years of experience in data engineering, specifically with the design, development, implementation, management, and support of data structures and the data flow lifecycle (including data maintenance, ETL and data governance considerations) Experience with healthcare analytics and concepts is preferred Tableau experience is strongly preferred Cloud data warehousing/administration is a plus About IVX Health IVX Health is a national provider of infusion and injection therapy for individuals managing chronic conditions like Rheumatoid Arthritis, Crohn's Disease, and Multiple Sclerosis. We’re transforming the way care is delivered with a focus on patient comfort and convenience. Our commitment to exceptional care extends to our employees as well—we empower our team to thrive while living our core values: Be Kind, Do What’s Right, Never Settle, Make It Happen, and Enjoy the Ride. Our Mission: To improve the lives of those we care for by redefining the care experience Our Vision: To be the nation’s preferred destination for pharmaceutical care of complex chronic conditions Our Commitment: To deliver an unmatched care experience with a foundation in world class service and clinical excellence Benefits We Offer Comprehensive Healthcare – Medical, dental, and vision coverage, including prescription drug plans and telemedicine services. Flexible Savings Options – Choose from Health Savings Accounts (HSA) and Health Reimbursement Arrangements (HRA) to manage healthcare costs. Supplemental Protection – Accident, critical illness, and hospital indemnity plans to provide additional financial security. Dependent Care FSA – Pre-tax savings for eligible childcare and dependent care expenses. 401(k) Retirement Plan – Secure your future with a competitive company match. Disability Coverage – Voluntary short-term and long-term disability plans to protect your income. Fertility and Family Support – Resources and benefits designed to support fertility care and family planning. Life and AD&D Insurance – Financial protection for you and your loved ones. Counseling and Wellness Support – Free resources to support emotional, physical, and financial well-being. Education Assistance – Tuition reimbursement and certification support to help you grow in your career. Continuing Education – Access to a CEU library for ongoing professional development. Charitable Giving and Volunteer Program – Matched donations and paid volunteer time off to support causes you care about. Employee Referral Bonus – Earn rewards for helping us find top talent. Note: Benefits may vary by employment type. Contact HR for details on eligibility and coverage. EEO STATEMENT IVX Health is proud to be an Equal Opportunity Employer. We value diversity and are committed to creating an inclusive environment for all employees. IVX Health wants to have the best available people in every job, and we make employment decisions on the basis of business needs, job requirements, individual qualifications, and merit. Equal employment opportunities are provided to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, military and veteran status, age, physical or mental disability, genetic characteristic, reproductive health decisions, family or parental status, or any other legally protected category in accordance with applicable federal, state, or local laws. IVX Health prohibits discrimination, harassment, or retaliation of any kind based on any of these characteristics. Equal employment opportunity will be extended to all persons in all aspects of the employer-employee relationship and all terms and conditions of employment, including, but not limited to, hiring, training, promotion, discipline, compensation benefits, and separation of employment. Privacy Policy", "summaryDescription" : "Analytics Engineer II at IVX Health. Skills: Data engineering, Analytics engineering, Machine learning. Develop and maintain data pipelines. Build and optimize data models", "postedDate" : "2026-06-15T23:20:36.916", "createdAt" : "2026-06-15T23:20:36.916", "lastUpdated" : "2026-06-16T05:47:04.386", "ingestTimestamp" : "2026-06-15T23:20:36.916", "mongoId" : "6a3051e4f292fd229cf08733", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data warehousing", "ETL development", "Data pipeline development", "Database management", "Statistical modeling", "Machine learning implementation", "Data visualization", "Cloud computing", "Data engineering", "Analytics engineering", "Machine learning", "Data modeling", "Statistical analysis", "Business intelligence", "Quantitative analysis", "Healthcare data", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "694ae6ce70f0b99d589b27ca", "title" : "Commercial Risk Analytics Manager", "company" : "Hyundai Capital America", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Financial Services in Irvine, United States, adjusted for company size and industry." }, "location" : "United States-California-Irvine", "locations" : [ "United States-California-Irvine", "
Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "timestamp" : "2026-06-16T01:39:10.590", "fingerprint" : "10c905e78cca8653375e52ad1ec3175cfa27819915e0ddf7e9f52854cbedbd04", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=108543", "externalId" : "108543", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "experienceLevel" : "Manager", "remoteFriendly" : false, "rawDescription" : "Who We Are Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 2 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement. We Take Care of Our People Along with competitive pay, as an employee of HCA, you are eligible for the following benefits: · Medical, Dental and Vision plans that include no-cost and low-cost plan options · Immediate 401(k) matching and vesting · Vehicle purchase and lease discounts plus monthly vehicle allowances · Paid Volunteer Time Off with company donation to a charity of your choice · Tuition reimbursement What to Expect The Commercial Risk Analytics Manager provides risk analytics and reporting related to the Dealer Finance, Commercial Vehicle Finance and Mobility portfolios. Responsibilities include data gathering, data analytics, reporting, model development/maintenance in support of new products, loss prevention, modeling, forecasting, origination and portfolio management. This role will provide accurate and current information in support of department and business’ policies, administration, regulatory (SOX), portfolio management and tracking, and key risk indicators. In addition, this role will investigate, collect, and analyze auto industry and economic information and data impacting credit risk, including but not limited to, information regarding economic trends forecasts, commercial real estate markets, emerging technology, competitor vehicles and sales, commercial vehicle financing and mobility areas. What You Will Do 1. Data Collection and Analysis · Gather, maintain, report, reconcile and analyze data with the most up-to-date, accurate and functionally useful information in support of department and business’ policies, administration and regulatory requirements · Build reports, dashboards and monitoring tools and early warning systems to enhance credit decision-making and information reporting to upper management and Risk Control Committee · Develop and enhance early warning, inventory analysis and risk management reports that can be leveraged by the Commercial and Sales teams to effectively manage risk in the Commercial & Mobility portfolios · Develop and maintain portfolio risk scorecards and underwriting risk models for Dealer, Commercial Vehicle and Mobility lending products and financial reporting · Develop Risk subject matter expertise in support of New Market Introductions and New Product Introductions by completing market/product research, Collaborate with Mobility team to assess and build out new markets and new products · Prepare loss estimates to support new Mobility products, including the development of probability of default and loss given default analyses · Develop and maintain monthly pre-approval lists in support of Subscription and other Commercial and new Mobility products · Support Dealer, Commercial Vehicle Finance and Mobility portfolio by developing and monitoring the scorecard performance and other key indicators. Analyze and recommend actions if indicators deviate from expected performance · Investigate and analyze auto industry, dealer and commercial vehicle financial statements, economic information and data impacting credit risk, including but not limited to economic trends forecasts, commercial real estate markets, Industry segment specific risks competitor vehicles and products and commercial vehicle financing areas · Ensure the accuracy of key credit assumptions that are inputs into the Pricing, Loss forecast, early warning, risk grading models, and develop tracking and analysis that enables periodic updates made in a systemic process to meet the needs of the business · Coordinate with the Commercial and Mobility teams to facilitate the integration of new systems, including the development of new and replacement reporting required to meet business needs. 2. Reporting · Produce reports on Allowance for Loan and Lease Losses (ALLL), IFRS9, CECL for Dealer, Commercial Vehicle Finance and Mobility portfolios · Support monthly, quarterly, ad hoc and annual OP requests from FP&A and Risk. · Develop appropriate forecasting tools and provide timely forecast projections for review and approval by Director Commercial Risk, Enterprise Risk Director and CRO. · Develop and provide reports to support ad-hoc strategic projects and deliverables · Produce periodic and ad-hoc reporting and respond to Corporate and field requests 3. Compliance and Communication · Perform verification of the CECL and IFRS9 and disclosure reports accuracy including input verifications, outcome reasonableness, and variance explanations in compliance with regulatory requirements (SOX). · Present the results to Commercial management for monthly sign-off and answer all the questions for smooth approval. · Conduct monthly meetings with Accounting, Finance, Commercial Credit, Mobility and Risk to share the results and provide clarifications. · Provide support and business rationale for external auditors with questions. · Create quarterly Memo for Commercial and Mobility portfolios including obtaining consensus from accounting and sign off from CRO and CFO 4. Project Management · Maintain project schedules, task details and coordinate efforts and deliverables with associates in department projects. · Maintain relevant support documentation for regulatory requirements. What You Will Bring · Minimum 5-7 years progressive experience in quantitative analysis within automotive captive, banking, commercial lending, equipment finance or related field. · Prior credit scorecard and statistical model development experience preferred. · Bachelor’s Degree in Business Administration, Mathematics, Economics, Operations Research, Statistics, Computer Science or related quantitative experience. · Demonstrate strong business acumen, technical skills and an ability to partner with stakeholders. · Strong PC skills; Python, SAS, SQL, Microsoft Access, Excel, Word, Power Point, VBA, Tableau. · Ability to work on multiple projects and attention to details and timeline. · Ability to explain complex data analysis. · Ability to develop statistical models (PD, LGD, Scorecards, Reserves, etc.). Work Environment Employees in this class are subject to extended periods of sitting, standing and walking, and using a computer. Work is performed in an office environment. The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 (“CCPA”). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com . 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Analysts; Business Intelligence Engineers; Data Scientists; SDEs; Business teams", "domainKnowledge" : "Data warehouse environment; Global logistics; Air transportation network; Generative AI applications; LLM workflows", "domainList" : [ "data-warehouse-environment", "global-logistics", "air-transportation-network", "generative-ai-applications", "llm-workflows" ], "domainSpecificKnowledge" : [ "Data warehouse environment", "Global logistics", "Air transportation network", "Generative AI applications", "LLM workflows" ], "toolProficiency" : [ "AWS", "Redshift", "S3", "AWS Glue", "EMR", "Kinesis", "FireHose", "Lambda", "IAM", "Hadoop", "Apache Spark", "Amazon Q" ], "innovationCreativity" : "Technical innovation", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "2+ years data engineering experience, Data modeling experience, Warehousing experience, Building ETL pipelines experience, SQL experience, PL/SQL experience, DDL experience, MDX experience, HiveQL experience, SparkSQL experience, Scala experience, Python experience, KornShell experience, GenAI/LLM tools familiarity", "qualificationsPreferred" : "Data engineer experience, Software engineer experience, Business intelligence engineer experience, Data scientist experience, Manipulating large datasets experience, Processing large datasets experience, Extracting value from large datasets experience, Hadoop experience, Apache Spark experience, Data warehouse technical architecture knowledge, Data warehouse infrastructure components knowledge, ETL knowledge, Reporting tools knowledge, Analytic tools knowledge, Data schema design knowledge, Data schema implementation knowledge, Normalization knowledge, Relational model knowledge, Dimensional model knowledge, Redshift experience, S3 experience, AWS Glue experience, EMR experience, Kinesis experience, FireHose experience, Lambda experience, IAM roles experience, IAM permissions experience, Informatica experience, ODI experience, SSIS experience, BODI experience, Datastage experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to join one of the most exciting teams at the world's most customer-centric company? Then come soar with Amazon Air! AIR's Data, Analytics and Business Intelligence (DABI) team aims to offer the data infrastructure and data applications, processes, and practices that enable the AIR business to leverage its capacity, speed, quality of service, and organic infrastructure to delight Amazon customers worldwide. We are looking for an experienced, innovative Data Engineer to work in a large and complex data warehouse environment. You should be passionate about working with disparate datasets and love bringing data together to answer business questions. You should have deep expertise in creating and managing datasets and a proven ability to translate data into meaningful insights through collaboration with Analysts, Business Intelligence Engineers, Data Scientists, SDEs, and business teams across the Amazon AIR organization. In this role, you will own end-to-end development of data engineering solutions to complex questions and play a critical role in strategic decision-making. The right candidate will possess excellent technical ability in relational database management systems and database architecture, solid business and communication skills, and the ability to work with business owners to develop and define key business questions, collaborate with external data vendors to onboard new datasets, and analyze data effectively. Key job responsibilities - Design and implement robust ETL/ELT processes using AWS big data technologies - Create scalable data integration solutions that transform complex business requirements into actionable insights - Develop and maintain high-performance data pipelines that support critical business intelligence needs - Proactively identify and resolve data infrastructure challenges to enhance system reliability - Collaborate with cross-functional teams to drive data-driven decision-making strategies - Contribute to the development and maintenance of AIR's GenAI infrastructure and data foundations - Design and implement data architectures that support generative AI applications and LLM workflows - Leverage GenAI tools (e.g., Amazon Q, coding assistants) to accelerate development and testing A day in the life Your day will be a dynamic blend of technical innovation and collaborative problem-solving. You'll dive into complex datasets, design elegant data pipelines, and work alongside cross-functional teams to unlock actionable intelligence that shapes the future of global logistics. About the team We are a passionate group of data professionals dedicated to transforming raw information into strategic insights. Our team thrives on collaboration, innovation, and a shared commitment to solving complex challenges that directly impact Amazon's global air transportation network. Basic Qualifications: - 2+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) - Familiarity with leveraging GenAI/LLM tools to improve development productivity Preferred Qualifications: - Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets - Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments - Knowledge of basics of designing and implementing a data schema like normalization, relational model vs dimensional model - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Bellevue - 101,300.00 - 160,000.00 USD annually", "summaryDescription" : "Data Engineer, AIR DABI (Data Analytics and Business Intelligence) at Amazon.com Services LLC. Skills: Data Engineering, ETL/ELT, AWS, Generative AI. Design ETL/ELT processes. Implement ETL/ELT processes", "postedDate" : "2026-06-13T17:21:09.499", "createdAt" : "2026-06-13T17:21:09.499", "lastUpdated" : "2026-06-15T03:34:52.489", "ingestTimestamp" : "2026-06-13T17:21:09.499", "mongoId" : "69fda4e74c40e2acd1b99b8b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10411675/apply", "salaryAnnualMin" : 101000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "ETL processes", "Data integration", "Data pipelines", "Data modeling", "Database management", "Data warehousing", "Data transformation", "Data analysis", "Data Engineering", "ETL/ELT", "AWS", "Generative AI", "Database architecture", "Business analysis", "Data architecture", "Data warehouse environment", "Global logistics", "Air transportation network", "Generative AI applications", "LLM workflows", "Redshift", "S3", "AWS Glue", "EMR", "Kinesis", "FireHose", "Lambda", "IAM", "Hadoop", "Apache Spark", "Amazon Q" ], "skillCount" : 31, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c93ea74d8ee00a0989415", "title" : "Senior Analytics Engineer", "company" : "SolarWinds", "industry" : "SaaS", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Analytics Engineer in Austin, TX, adjusted for the technology industry and company size." }, "location" : "Austin Office", "locations" : [ "Austin Office" ], "timestamp" : "2026-06-15T07:14:26.499", "fingerprint" : "1189b96cd01cc0532e0460e6da07acf6dca927b98caf1241a6e31cba0b1934e6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.solarwinds.com/job-detail/?gh_jid=4695475005&gh_jid=4695475005", "externalId" : "4695475005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Dbt, Tableau, Python, SQL, BigQuery, Snowflake, Redshift, Git, CI/CD, MetricFlow, Dbt Semantic Layer, Dataplex, Fivetran, Looker, ThoughtSpot", "professionalSkills" : [ "Analytics delivery", "Data modelling", "Business stakeholder engagement", "Metric definition", "Data product development", "Data quality management", "Process automation", "Mentoring analysts" ], "hardSkillsList" : [ "Dbt modelling", "Tableau dashboard development", "Data wrangling", "Scripting", "Exploratory analysis", "Analytical queries", "Window functions", "CTEs", "Aggregations", "Query performance", "Star schema", "Slowly changing dimensions", "Metric normalisation" ], "softSkillsList" : [ "Accountable", "Empathetic", "Innovative thinking" ], "hardSkills" : [ { "name" : "Dbt modelling", "level" : "intermediate" }, { "name" : "Tableau dashboard development", "level" : "intermediate" }, { "name" : "Data wrangling", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" }, { "name" : "Exploratory analysis", "level" : "intermediate" }, { "name" : "Analytical queries", "level" : "intermediate" }, { "name" : "Window functions", "level" : "intermediate" }, { "name" : "CTEs", "level" : "intermediate" }, { "name" : "Aggregations", "level" : "intermediate" }, { "name" : "Query performance", "level" : "intermediate" }, { "name" : "Star schema", "level" : "intermediate" }, { "name" : "Slowly changing dimensions", "level" : "intermediate" }, { "name" : "Metric normalisation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Accountable" }, { "name" : "Empathetic" }, { "name" : "Innovative thinking" } ], "majorSkills" : "Dbt, Tableau, Analytics Engineering, Data Modelling", "majorSkillsList" : [ "Dbt", "Tableau", "Analytics Engineering", "Data Modelling" ], "coreResponsibilities" : "Design dbt data models, Build dbt data models, Maintain dbt data models, Deliver Tableau dashboards, Deliver self-serve analytics assets, Consume MetricFlow semantic layer, Partner with stakeholders, Translate business problems, Champion data quality, Write dbt tests, Enforce delivery SLAs, Embed lineage documentation, Lead CI/CD processes, Support junior analysts, Mentor mid-level analysts, Contribute to enablement programmes", "teamCollaboration" : "AE community; Business teams; Senior stakeholder engagement; Cross-functional teams", "projectManagementSkills" : [ "Branch-based development", "PR reviews", "Automated test gates" ], "domainKnowledge" : "SaaS business; Recurring revenue metrics; ARR; Churn; Expansion; NRR", "domainList" : [ "saas-business", "recurring-revenue-metrics", "arr", "churn", "expansion", "nrr" ], "domainSpecificKnowledge" : [ "SaaS business", "Recurring revenue metrics", "ARR", "Churn", "Expansion", "NRR" ], "toolProficiency" : [ "Dbt", "Tableau", "Git", "MetricFlow", "Dbt Cloud", "Dataplex", "Fivetran", "Looker", "ThoughtSpot" ], "communicationSkills" : "Present data findings; Translate business questions", "documentationSkills" : "Lineage documentation", "innovationCreativity" : "Innovative thinking", "problemSolvingSkills" : "Translate ambiguous problems; Identify gaps in requirements; Drive clarity on metrics", "qualificationsBasic" : "5+ years of experience, Production-grade dbt experience, Advanced Tableau expertise, Python proficiency for analytics, SQL fundamentals, Modern cloud data warehouse experience, Git and branch-based development, CI/CD experience in data context", "qualificationsPreferred" : "MetricFlow or dbt Semantic Layer experience, Tableau + dbt Cloud connector familiarity, Salesforce or NetSuite experience, SaaS or recurring revenue business experience, Dataplex, Fivetran, or ELT tooling experience, Next-generation self-serve BI platforms experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "At SolarWinds, we’re a people-first company. Our purpose is to enrich the lives of the people we serve—including our employees, customers, shareholders, partners, and communities. Join us in our mission to help customers accelerate business transformation with simple, powerful, and secure solutions. The ideal candidate thrives in an innovative, fast-paced environment and is collaborative, accountable, ready, and empathetic. We’re looking for individuals who believe they can accomplish more as a team and create lasting growth for themselves and others. We hire based on attitude, competency, and commitment. Solarians are ready to advance our world-class solutions in a fast-paced environment and accept the challenge to lead with purpose. If you’re looking to build your career with an exceptional team, you’ve come to the right place. Join SolarWinds and grow with us! ROLE OVERVIEW As a Senior Analytics Engineer, you will own end-to-end analytics delivery — from well-governed dbt data models through to polished Tableau dashboards or AI solutions consumed by business leaders across Revenue, Customer Success, and Product. This is a high-impact individual contributor role with balanced accountability across transformation and delivery. You'll spend roughly half your time on dbt model development and half on Tableau dashboard delivery and business stakeholder engagement — the bridge between our Analytics Engineering platform and the business teams who rely on it. You'll collaborate closely with our AE community in Austin and the Philippines, aligning data models and metrics to real business requirements. The right candidate is equally comfortable writing production-grade dbt SQL and sitting with a senior stakeholder to translate a business question into a data product. You bring craft to both sides of that equation. This is a highly autonomous role within a rapidly evolving analytics function. Success will require curiosity, initiative and the ability to bring structure, energy, and innovative thinking to ambiguous problem. KEY RESPONSIBILITIES Design, build, and maintain dbt data models (Staging, Intermediate, Mart layers) following SolarWinds modelling standards, with a focus on consumption-ready, well-tested data products Deliver high-quality Tableau dashboards and self-serve analytics assets for business teams across Revenue, Customer Success, Finance, and Product — from requirements through to stakeholder sign-off Own the Tableau-to-dbt integration layer: consume MetricFlow semantic layer definitions in Tableau Cloud, ensuring metrics are consistent, governed, and aligned with company-wide standards Partner directly with stakeholders across assigned business domains to translate ambiguous business problems into scalable analytical solutions, proactively identifying gaps in requirements, aligning stakeholders, and driving clarity on metrics, logic and desired outcomes Champion data quality — write dbt tests, enforce delivery SLAs, and embed lineage documentation as standard practice Lead and run CI/CD processes for your dbt models — branch-based development, PR reviews, and automated test gates Support and mentor junior and mid-level analysts, promoting best practices in SQL, dbt modelling, and Tableau development Contribute to the rollout of self-serve analytics enablement programmes for business users, reducing dependency on direct analyst requests REQUIRED SKILLS & EXPERIENCE 5+ years of experience in analytics engineering, business intelligence, or a related data role Production-grade dbt experience (dbt Core or dbt Cloud) — you've designed and maintained multi-layer models at scale, written macros, and contributed to shared packages Advanced Tableau expertise – including development or performant, governed and user-friendly analytical solutions integrated with modern semantic layer & with the ability to clearly explain modelling, metric and design decisions with stakeholders Python proficiency for analytics use cases — data wrangling, scripting, custom dbt macros, or exploratory analysis Strong SQL fundamentals — complex analytical queries, window functions, CTEs, aggregations, and query performance awareness Experience with a modern cloud data warehouse (BigQuery, Snowflake, or Redshift) including understanding of materialisation and performance trade-offs Git and branch-based development workflows — you treat analytics code with software engineering discipline CI/CD experience in a data context — dbt test gates, PR-triggered runs, or equivalent pipeline automation Solid understanding of data modelling concepts — star schema, slowly changing dimensions, metric normalisation Strong communication skills — you can present data findings to non-technical audiences and translate vague business questions into clear model briefs NICE TO HAVE Hands-on MetricFlow or dbt Semantic Layer experience in a production environment Familiarity with the Tableau + dbt Cloud connector (Tableau 2025.2+) for semantic layer consumption Familiarity with Salesforce or NetSuite as source systems Experience in a SaaS or recurring revenue business — ARR, churn, expansion, and NRR metrics Exposure to Dataplex, Fivetran, or similar data cataloguing and ELT tooling Experience with next-generation self-serve BI platforms (Omni, Looker, ThoughtSpot) — we are actively evaluating alongside Tableau Working knowledge of GDPR data residency requirements in an analytics context Comfort using AI coding assistants and LLM-based tools in analytics workflows SolarWinds is an Equal Employment Opportunity Employer. SolarWinds will consider all qualified applicants for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, marital status, disability, veteran status or any other characteristic protected by law. All applications are treated in accordance with the SolarWinds Privacy Notice: https://www.solarwinds.com/applicant-privacy-notice", "summaryDescription" : "Senior Analytics Engineer at SolarWinds. Skills: Dbt, Tableau, Analytics Engineering, Data Modelling. Design dbt data models. Build dbt data models", "postedDate" : "2026-06-13T22:19:47.706", "createdAt" : "2026-06-13T22:19:47.706", "lastUpdated" : "2026-06-15T07:14:26.499", "ingestTimestamp" : "2026-06-13T22:19:47.706", "mongoId" : "6a2c93ea74d8ee00a0989415", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Dbt modelling", "Tableau dashboard development", "Data wrangling", "Scripting", "Exploratory analysis", "Analytical queries", "Window functions", "CTEs", "Aggregations", "Query performance", "Star schema", "Slowly changing dimensions", "Metric normalisation", "Accountable", "Empathetic", "Innovative thinking", "Dbt", "Tableau", "Analytics Engineering", "Data Modelling", "Analytics delivery", "Data modelling", "Business stakeholder engagement", "Metric definition", "Data product development", "Data quality management", "Process automation", "Mentoring analysts", "Branch-based development", "PR reviews", "Automated test gates", "SaaS business", "Recurring revenue metrics", "ARR", "Churn", "Expansion", "NRR", "Git", "MetricFlow", "Dbt Cloud", "Dataplex", "Fivetran", "Looker", "ThoughtSpot" ], "skillCount" : 44, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307f05f292fd229c0547de", "title" : "Senior Intelligence Analyst, Google Threat Intelligence Delivery", "company" : "Google", "industry" : "Cybersecurity", "salary" : { "min" : 105000.0, "max" : 155000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Intelligence Analyst in Amsterdam, Netherlands, adjusted for Google's size and industry." }, "location" : "[Amsterdam, Netherlands, [Claude Debussylaan 34, 1082 MD Amsterdam, Netherlands], Amsterdam, 1082 MD, NH, NL]", "locations" : [ "[Amsterdam, Netherlands, [Claude Debussylaan 34, 1082 MD Amsterdam, Netherlands], Amsterdam, 1082 MD, NH, NL]", "[Netherlands, [Netherlands], null, null, null, NL]" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T12:46:31.008", "fingerprint" : "a364db907785d53c319cb9fe1021553c5186cf33615f61d673653b3824db4209", "source" : "google", "language" : "en", "externalId" : "114076414495335110", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Quantitative analysis", "Data engineering", "Business intelligence", "Machine learning", "Data science" ], "hardSkillsList" : [ "Statistical methods", "Modelling skills" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Threat intelligence", "majorSkillsList" : [ "Data analysis", "Threat intelligence" ], "coreResponsibilities" : "Analyze threat data, Develop intelligence reports, Identify emerging threats, Provide actionable insights, Collaborate with security teams, Support incident response", "teamCollaboration" : "Security teams; Cross-functional teams", "domainKnowledge" : "Cyber threat landscape; Intelligence analysis methodologies; Malware analysis; Network security; Cloud security", "domainList" : [ "cyber-threat-landscape", "intelligence-analysis-methodologies", "malware-analysis", "network-security", "cloud-security" ], "domainSpecificKnowledge" : [ "Cyber threat landscape", "Intelligence analysis methodologies", "Malware analysis", "Network security", "Cloud security" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Report writing; Presentations", "documentationSkills" : "Technical documentation", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Analytical skills; Problem-solving", "outcomesObjectives" : "Enhance threat detection; Reduce security risks; Improve incident response time", "qualificationsBasic" : "5+ years experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "summaryDescription" : "Senior Intelligence Analyst, Google Threat Intelligence Delivery at Google. Skills: Data analysis, Threat intelligence. Analyze threat data. 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