{ "count" : 187427, "data" : [ { "id" : "6a2da0b574d8ee00a0c5e860", "title" : "Senior Associate, Big Data Engineer, Data Analytics, Advisory", "company" : "Pwc", "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-15T12:27:37.501", "fingerprint" : "dcc0cac8319ec8d27b5d623470ad432338c70585e567c3213fb587675233f1a4", "source" : "workday", "applyUrl" : "https://pwc.wd3.myworkdayjobs.com/Global_Experienced_Careers/job/Bengaluru-Millenia/IN-Senior-Associate-Big-Data-Engineer-Data-Analytics-Advisory-Bangalore_736214WD-1", "externalId" : "736214WD", "industryFunction" : { }, "locationPoint" : "20.5937,78.9629", "structuredLocations" : [ { "city" : "Bangalore", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Bangalore, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor of Engineering", "experienceMinYears" : 5, "experienceMaxYears" : 8, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Scala, Python, AWS, Spark, S3, Glue, EMR, Aurora Postgres, Lambda, Kinesis, kafka, Flink, Apache Iceberg, NIFI", "professionalSkills" : [ "Data, Analytics & AI" ], "hardSkillsList" : [ "Big Data", "AWS", "SQL", "Python", "Scala", "Spark", "S3", "Glue", "EMR", "Aurora Postgres", "Lambda", "Kinesis", "kafka", "Airflow", "DBT", "Flink", "Apache Iceberg", "Datadog", "NIFI" ], "softSkillsList" : [ "Accepting Feedback, Active Listening, Communication, Creativity" ], "hardSkills" : [ { "name" : "Big Data", "level" : "intermediate" }, { "name" : "AWS", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "Python", "level" : "intermediate" }, { "name" : "Scala", "level" : "intermediate" }, { "name" : "Spark", "level" : "intermediate" }, { "name" : "S3", "level" : "intermediate" }, { "name" : "Glue", "level" : "intermediate" }, { "name" : "EMR", "level" : "intermediate" }, { "name" : "Aurora Postgres", "level" : "intermediate" }, { "name" : "Lambda", "level" : "intermediate" }, { "name" : "Kinesis", "level" : "intermediate" }, { "name" : "kafka", "level" : "intermediate" }, { "name" : "Airflow", "level" : "intermediate" }, { "name" : "DBT", "level" : "intermediate" }, { "name" : "Flink", "level" : "intermediate" }, { "name" : "Apache Iceberg", "level" : "intermediate" }, { "name" : "Datadog", "level" : "intermediate" }, { "name" : "NIFI", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Accepting Feedback, Active Listening, Communication, Creativity" } ], "majorSkills" : "Big Data, AWS, SQL, Python, Spark", "majorSkillsList" : [ "Big Data, AWS, SQL, Python, Spark" ], "coreResponsibilities" : "Design and build data infrastructure and systems to enable efficient data processing and analysis. Develop and implement data pipelines, data integration, and data transformation solutions.", "teamCollaboration" : "Part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities.", "toolProficiency" : [ "AWS, kafka, Airflow, DBT, Flink, Apache Iceberg, Datadog, Github, Snowflake, Glue, EMR, Lambda, Kinesis, NIFI" ], "communicationSkills" : "Communication", "continuousLearning" : "Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other.", "innovationCreativity" : "Environment that drives innovation.", "problemSolvingSkills" : "Data Engineering; Data Integration; Data Pipeline", "specialRequirements" : "PwC believes in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. Strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. Zero tolerance for any discrimination and harassment.", "outcomesObjectives" : "Make a tangible impact in the real world. Help organisations uncover enterprise insights and drive business results using smarter data analytics. Help clients gain a competitive edge.", "qualificationsBasic" : "Working knowledge on big data technologies, Cloud AWS. Excellent working knowledge on SQL. Proficient with spark and any one or both programming language e.g. Scala and/or Python. Demonstrated working knowledge with kafka, Airflow, DBT, Flink, Apache Iceberg, Datadog. Experience with CI/CD framework implementation in conjunction with any popular code repository like Github.", "qualificationsPreferred" : "Experience with snowflake will be a big positive.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Line of Service** Advisory **Industry/Sector** Not Applicable **Specialism** Data, Analytics & AI **Management Level** Senior Associate **Job Description & Summary** At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. _*Why PWC_ At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more _[about us](https://www.pwc.in/about-us.html)_. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. \" **Job Description & Summary: **A career within…. A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. **Responsibilities :** Working knowledge on big data technologies , Cloud AWS Excellent working knowledge on SQL Proficient with spark and any one or both programming language e.g. Scala and/or Python Demonstrated working knowledge with kafka, Airflow, DBT, Flink, Apache Iceberg, Datadog Experience with snowflake will be a big positive Experience with CI/CD framework implementation in conjunction with any popular code repository like Github **Mandatory skill set s:** * Big Data, AWS, SQL, Python/Scala, Spark, S3, Glue, EMR, Aurora PostGres, Lambda, Kinesis, kafka, Airflow, DBT, Flink, Apache Iceberg, Datadog, Scala, Python, NIFI, SQL **Preferred skill sets :** * Snowflake **Years of experience required:** 5-8yrs **Education qualification :** B.Tech / M.Tech / M.E / MCA/B.E **Education** _(if blank, degree and/or field of study not specified)_ Degrees/Field of Study required: Bachelor of Engineering Degrees/Field of Study preferred: **Certifications** _(if blank, certifications not specified)_ **Required Skills** Big Data **Optional Skills** Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture Development, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} **Desired Languages** _(If blank, desired languages not specified)_ **Travel Requirements** **Available for Work Visa Sponsorship?** **Government Clearance Required?** **Job Posting End Date** June 26, 2026", "summaryDescription" : "Senior Associate, Big Data Engineer, Data Analytics, Advisory at Pwc. Skills: Big Data, AWS, SQL, Python, Spark. Design and build data infrastructure and systems to enable efficient data processing and analysis. Develop and implement data pipelines, data integration, and data transformation solutions.", "postedDate" : "2026-06-13T18:55:25.522", "createdAt" : "2026-06-14T18:55:25.515", "lastUpdated" : "2026-06-15T12:27:37.501", "ingestTimestamp" : "2026-06-14T18:55:25.515", "mongoId" : "6a2da0b574d8ee00a0c5e860", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://pwc.wd3.myworkdayjobs.com/Global_Experienced_Careers/job/Bengaluru-Millenia/IN-Senior-Associate-Big-Data-Engineer-Data-Analytics-Advisory-Bangalore_736214WD-1", "hasSalary" : false, "allSkills" : [ "Big Data", "AWS", "SQL", "Python", "Scala", "Spark", "S3", "Glue", "EMR", "Aurora Postgres", "Lambda", "Kinesis", "kafka", "Airflow", "DBT", "Flink", "Apache Iceberg", "Datadog", "NIFI", "Accepting Feedback, Active Listening, Communication, Creativity", "Big Data, AWS, SQL, Python, Spark", "Data, Analytics & AI", "AWS, kafka, Airflow, DBT, Flink, Apache Iceberg, Datadog, Github, Snowflake, Glue, EMR, Lambda, Kinesis, NIFI" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "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" : "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. 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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" : "6a2c69b574d8ee00a0908e96", "title" : "Senior Associate, Data & AI Advisory", "company" : "Aprio", "industry" : "Technology Advisory", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Senior Associate, Data & AI Advisory in Atlanta, adjusted for consulting industry and seniority." }, "location" : "Atlanta, GA", "locations" : [ "Atlanta, GA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T21:26:58.857", "fingerprint" : "f0223e421372dc77c2d2f1e9a42c34d162209e133f5293febd4ee698610aff5c", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/Aprio/c340a3f0-9970-496b-8267-9d18dfac6a88/apply", "externalId" : "c340a3f0-9970-496b-8267-9d18dfac6a88", "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, AWS, Azure, GCP, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Dbt, Airflow, Scikit-learn, TensorFlow, PyTorch, MLflow, Spark", "professionalSkills" : [ "Data analysis", "Data modeling", "Statistical analysis", "Experimental design", "MLOps practices", "Data pipeline orchestration", "Business intelligence", "Data visualization", "Quantitative analysis", "Advisory services" ], "hardSkillsList" : [ "Data analytics", "Data engineering", "Machine learning", "AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Query languages", "Scripting languages", "Data warehousing", "Data pipeline", "MLOps", "Data modeling", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analytics", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "AI", "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" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Query languages", "level" : "intermediate" }, { "name" : "Scripting languages", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data pipeline", "level" : "intermediate" }, { "name" : "MLOps", "level" : "intermediate" }, { "name" : "Data modeling", "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" : "Develop and implement data-driven solutions, Build and maintain data pipelines, Design and deploy machine learning models, Create and manage business intelligence dashboards, Perform quantitative analysis and statistical modeling, Collaborate with clients to understand data needs, Provide advisory services on data strategy and implementation, Stay current with emerging trends in data science", "teamCollaboration" : "Cross-functional teams; Client stakeholders", "toolProficiency" : [ "SQL", "Python", "R", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "MLflow", "Spark" ], "communicationSkills" : "Client presentations; Technical documentation", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Data-driven decision making; Root cause analysis", "qualificationsBasic" : "5+ years of experience in data analytics or related field, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "Master's degree or PhD preferred, Experience with cloud platforms (AWS, Azure, GCP), Experience with BI tools (Tableau, Power BI), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with data warehousing solutions (Snowflake, BigQuery, Redshift), Experience with data pipeline orchestration tools (Airflow, Prefect), Experience with MLOps practices, Experience with data modeling techniques, Experience with statistical analysis and experimental design (A/B testing), Experience with Python or R for data analysis and modeling", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description Work with a Top 20 CPA and advisory firm that Accounts for Anything. Aprio has 40 U.S. office locations, as well as international office locations and more than 3,200 team members that speak 60+ languages across the globe. By bringing together proven expertise, deep understanding, and strategic foresight for fast-growing industries, Aprio ensures clients are prepared for wherever life or business may take them. Discover a top-rated culture, vast growth opportunities and your next big career move with Aprio. Join Aprio's Advisory team and you will help clients maximize their opportunities. Aprio Advisory Group, LLC is a progressive, fast-growing firm looking for a Senior Associate to join their dynamic team. We are looking for an AI Strategy Senior Associate to join our Data & AI practice within Aprio's Technology Advisory group. In this role, you will help clients move from Data and AI ambition to applied, business-driven solutions: assessing where AI can create value, shaping the roadmap to get there, and building the proof-of-concept solutions and demos that demonstrate it. You will work at the intersection of business strategy, business analysis, and technical execution, partnering with clients across our transformation journey, from Assess & Strategize and Integrate & Modernize through Optimize & Build and Deploy & Scale. This role suits an early-career professional with applied AI experience who wants to stay hands-on with solution development while growing into client-facing advisory work. This position is a heavy in person customer facing role that requires travel and interaction with customers across the US. ## Responsibilities AI strategy and assessment Conduct AI readiness assessments and data maturity evaluations that help clients understand their current capabilities and see where AI and automation can support value creation. Translate business challenges into prioritized Data and AI use cases and help shape transformation roadmaps that align technology investments with client objectives. Research emerging AI capabilities (large language models, machine learning, data management, generative AI, and agentic AI) and explain them in clear, accessible terms for non-technical stakeholders. Solution design and delivery Design and prototype agentic AI solutions across our core solution types: document processing and workflow automation; automated communication and prediction analytics; system integration and data synchronization; real-time external data validation; and business intelligence with work prioritization. Build proof-of-concept solutions and demos that help business teams explore the potential of Data and AI and analytics approaches, applying a structured approach to comparing models and options so recommendations are well-reasoned. Support SOW-based engagement delivery across discovery, kickoff, weekly status, and final delivery, contributing alongside the delivery team. Responsible AI and governance Help clients adopt AI responsibly, sustainably, and compliantly, building appropriate safeguards and monitoring into solution design. Contribute to AI and data governance frameworks that promote responsible, sustainable, and compliant use of AI. Client partnership Act as a bridge between technical and business domains, the role our team calls a Data Translator / Business Engineer, turning technical detail into business value. Partner with business stakeholders to understand their needs and help translate them into data- and AI-driven solutions. Present concepts and findings to business audiences in clear language, including through workshops and working sessions. ## Required Qualifications Bachelor’s or Master’s degree in Computer science, Data Science, Engineering, or a related quantitative field. 3+ years of applied AI, data management, or machine learning experience. Strong internship, research, or academic project work is welcome in place of full-time experience. Hands-on experience building AI or machine learning solutions, including work with large language models, natural language processing (NLP), or agentic AI approaches. Strong programming skills in Python, with experience using modern AI development tools. Ability to move between technical detail and business value, and to communicate clearly with non-technical stakeholders. Strong analytical and problem-solving skills, with a structured, well-tested approach to AI work. ## Preferred Qualifications Experience with agentic or autonomous agent design and AI-assisted development workflows. Exposure to taking AI or machine learning solutions beyond a notebook toward deployment, for example through a major cloud platform, containerization, or basic monitoring, gained via internships, research, or coursework. Exposure to responsible AI practices such as model evaluation, explainability, and fairness or drift checks. Familiarity with business intelligence tools (for example, Power BI or Tableau) and modern data platforms (for example, Snowflake, Databricks, or Spark). Exposure to client business systems and ERPs (NetSuite, QBO/IES, Acumatica, or Sage) is a plus. Interest in client-facing advisory work and a helpful, customer-oriented approach. ## Additional Information Why work for Aprio: Whether you are just starting out, looking to advance into management or searching for your next leadership role, Aprio offers an opportunity to grow with a future-focused, innovative firm. Perks/Benefits we offer for full-time team members: - Medical, Dental, and Vision Insurance on the first day of employment - Flexible Spending Account and Dependent Care Account - 401k with Profit Sharing - 9+ holidays and discretionary time off structure - Parental Leave – coverage for both primary and secondary caregivers - Tuition Assistance Program and CPA support program with cash incentive upon completion - Discretionary incentive compensation based on firm, group and individual performance - Incentive compensation related to origination of new client sales - Top rated wellness program - Flexible working environment including remote and hybrid options What’s in it for you: - Working with an industry leader: Be part of a high-growth firm that is passionate for what’s next. - An awesome culture: Thirty-one fundamental behaviors guide our culture every day ensuring we always deliver an exceptional team-member and client experience. We call it the Aprio Way. This shared mindset creates lasting relationships between team members and with clients. - A great team: Work with a high-energy, passionate, caring and ambitious team of professionals in a collaborative culture. - Entrepreneurship: Have the freedom to innovate and bring your ideas to help us grow to become the CPA firm of choice nationally. - Growth opportunities: Grow professionally in an environment that fosters continuous learning and advancement. - Competitive compensation: You will be rewarded with competitive compensation, industry-leading benefits and a flexible work environment to enjoy work/life balance. EQUAL OPPORTUNITY EMPLOYER Aprio is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race; color; religion; national origin; sex; pregnancy; sexual orientation; gender identity and/or expression; age; disability; genetic information, citizenship status; military service obligations or any other category protected by applicable federal, state, or local law. Aprio, LLP and Aprio Advisory Group, LLC, operate in an alternative business structure, with Aprio Advisory Group, LLC providing non-attest tax and consulting services, and Aprio, LLP providing CPA firm services.", "summaryDescription" : "Senior Associate, Data & AI Advisory at Aprio. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and implement data-driven solutions. Build and maintain data pipelines", "postedDate" : "2026-06-11T14:41:02.850", "createdAt" : "2026-06-11T14:41:02.850", "lastUpdated" : "2026-06-15T21:26:58.857", "ingestTimestamp" : "2026-06-14T21:36:24.223", "mongoId" : "6a2c69b574d8ee00a0908e96", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analytics", "Data engineering", "Machine learning", "AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Query languages", "Scripting languages", "Data warehousing", "Data pipeline", "MLOps", "Data modeling", "A/B testing", "Causal inference", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Data analysis", "Statistical analysis", "Experimental design", "MLOps practices", "Data pipeline orchestration", "Data visualization", "Advisory services", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "MLflow", "Spark" ], "skillCount" : 51, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cfbd074d8ee00a0aa5831", "title" : "Senior AI Data Engineer", "company" : "Cortica", "industry" : "Healthcare", "salary" : { "min" : 160000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Diego, California, United States", "locations" : [ "San Diego", "California", "United States" ], "timestamp" : "2026-06-15T21:42:45.289", "fingerprint" : "46bd2ff40e69e2e1ed36e7e3055ccd8f3bf789381e2c8a078249c72ea7e558b6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/allcareers/jobs/8590529002", "externalId" : "8590529002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7174202,-117.1627720" } ], "locationText" : "San Diego, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, AWS, Azure", "professionalSkills" : [ "System design", "Application development" ], "hardSkillsList" : [ "Data pipelines", "Data models" ], "hardSkills" : [ { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Data models", "level" : "intermediate" } ], "majorSkills" : "AI Data Engineering, Data pipelines, Data models", "majorSkillsList" : [ "AI Data Engineering", "Data pipelines", "Data models" ], "coreResponsibilities" : "Own projects end-to-end, Design data pipelines, Build data pipelines, Develop data models, Evolve data models, Use AI-assisted development, Build internal tools, Build dashboards, Ensure data security, Ensure compliance", "teamCollaboration" : "Data science teams; Finance teams; Clinical operations teams; Across teams", "domainKnowledge" : "Neurodevelopmental differences; Healthcare", "domainList" : [ "neurodevelopmental-differences", "healthcare" ], "domainSpecificKnowledge" : [ "Neurodevelopmental differences", "Healthcare" ], "continuousLearning" : "Tuition reimbursements; Continuing education", "qualificationsBasic" : "5+ years of experience designing and building production data pipelines, 2+ years of experience working with AI-first development workflows, Fluent in Python and SQL at an advanced level, 4+ years of experience with AWS and/or Azure big data services, 2+ years of experience with orchestration frameworks, Possess application development literacy", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Cortica is looking for a Senior AI Data Engineer to join its growing team! Cortica is a rapidly growing healthcare company pioneering the most effective treatment methods for children with neurodevelopmental differences. Our mission is to design and deliver life-changing care – one child, one family, one community at a time. Ultimately, we envision a world that cultivates the full potential of every child. At Cortica, every team member is instrumental in helping us achieve our mission! Our culture and values guide how we work and treat one another. Cortica celebrates diversity and fosters an inclusive environment, seeking ideas and opinions from everyone on the team. We safeguard equal rights and respect for all individuals, regardless of race, color, religion, sex, national origin, age, disability, creed, genetic information, sexual orientation, gender identity or expression, ancestry, veteran status or other applicable, legally protected characteristics. All Cortica employment decisions are made based on an individual’s qualifications and ability to successfully perform the job responsibilities. What will you do? The Senior AI Data Engineer will serve as both architect and builder of our data ecosystem. You’ll work closely with the data science, finance, and clinical operations teams to design intelligent, automated data solutions that power care decisions, financial planning, and operational efficiency. Own projects end-to-end: From stakeholder requirements through production deployment Design and build data pipelines that are reliable, scalable, and maintainable Develop and evolve data models that support clinical, financial, and operational reporting Use AI-assisted development as a core part of your daily workflow Build lightweight internal tools and dashboards where pipelines alone aren't enough Ensure data security and compliance across all work Collaborate across teams and document decisions so others can build on your work We’d love to hear from you if: You have 5+ years of experience designing and building production data pipelines. You bring 2+ years of experience working with AI-first development workflows. You're fluent in Python and SQL at an advanced level You bring 4+ years of experience with the following AWS and/or Azure big data services You have 2+ years of experience with orchestration frameworks You possess application development literacy to lightweight web tooling to complement data products. Your Compensation & Benefits Cortica cares deeply about the well-being of each member of our team, and we have created a passionate, caring, and growth-minded culture that helps teammates thrive! As a Cortica teammate, we’ll support your well-being through medical, dental, and vision insurance, a 401(k) plan with company matching and rapid vesting, paid holidays and wellness days, life insurance, disability insurance options, tuition reimbursements for professional development and continuing education, and referral bonuses. We value you and the experience you bring to your role, and are proud to provide you with a compensation and benefits package designed to enhance all aspectsof your life. The base pay range for this opening is $160,000 to $200,000. According to your skill level, relevant experience, education level, and location, you will receive compensation that fits appropriately within the range. EOE. This posting is not meant to be an exhaustive list of the role and its duties. #LI-NF1 #LI-Onsite", "summaryDescription" : "Senior AI Data Engineer at Cortica. Skills: AI Data Engineering, Data pipelines, Data models. Own projects end-to-end. Design data pipelines", "postedDate" : "2026-06-14T20:18:29.446", "createdAt" : "2026-06-14T20:18:29.446", "lastUpdated" : "2026-06-15T21:42:45.289", "ingestTimestamp" : "2026-06-14T20:18:29.446", "mongoId" : "6a2cfbd074d8ee00a0aa5831", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data pipelines", "Data models", "AI Data Engineering", "System design", "Application development", "Neurodevelopmental differences", "Healthcare" ], "skillCount" : 7, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca53b74d8ee00a09b550a", "title" : "Data & Analytics Engineer", "company" : "True Classic", "industry" : "E-Commerce", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data & Analytics Engineer in Calabasas, CA, adjusted for mid-seniority and e-commerce industry." }, "location" : "Calabasas, California, United States", "locations" : [ "Calabasas", "California", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T01:02:24.906", "fingerprint" : "4cb8ccd16e8ac76cf43a896155e7386d14131af5150e59a8e8bdadf542736a81", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/trueclassicteesllc/jobs/5238831008", "externalId" : "5238831008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Calabasas", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1446643,-118.6440970" } ], "locationText" : "Calabasas, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, Tableau, Power BI, Looker", "professionalSkills" : [ "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Data analysis", "Statistical analysis", "Machine learning", "A/B testing", "Causal inference", "Data governance", "Data quality", "Data architecture" ], "hardSkillsList" : [ "Data pipeline development", "Database management", "Cloud computing", "Machine learning implementation", "Statistical modeling", "Data visualization" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "Machine learning implementation", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Data Engineering, Analytics Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Engineering", "Analytics Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Design, build, and maintain scalable data pipelines, Develop and optimize data models and schemas, Implement ETL/ELT processes, Build and manage data warehouses and data lakes, Develop and deploy machine learning models, Create and maintain BI dashboards and reports, Perform data analysis to drive business insights, Ensure data quality and integrity, Collaborate with stakeholders to understand data needs, Automate data processes, Monitor and troubleshoot data systems", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "E-commerce analytics; Customer behavior analysis; Marketing analytics; Supply chain analytics", "domainList" : [ "e-commerce-analytics", "customer-behavior-analysis", "marketing-analytics", "supply-chain-analytics" ], "domainSpecificKnowledge" : [ "E-commerce analytics", "Customer behavior analysis", "Marketing analytics", "Supply chain analytics" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch" ], "problemSolvingSkills" : "Data analysis; Troubleshooting; Root cause analysis", "qualificationsBasic" : "5+ years of experience in data engineering or analytics engineering, Proficiency in SQL, Bachelor's degree in Computer Science, Statistics, Mathematics, or related field", "qualificationsPreferred" : "Master's degree or PhD preferred, Experience with cloud data warehouses (Snowflake, BigQuery, Redshift), Experience with data pipeline orchestration tools (Airflow, Prefect), 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 Associate, Dbt Certified Developer", "rawDescription" : "True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business stakeholder teams. This role will support core analytics engineering functions, ensuring clean, well-structured, and reliable data pipelines built to best practice standards. This role is ideal for someone who is hands-on and technically rigorous, with a strong command of data engineering best practices — including pipeline design, data modeling, testing, and documentation — and can contribute meaningfully to a mid-build platform in a fast-paced, evolving environment. All of True Classic’s roles are global and omni-channel, leading designated areas of accountability across all product categories, countries, and sales and marketing channels. This role will have impact across DTC, retail, wholesale, marketplaces, and emerging channels, ensuring strategic alignment and executional rigor across the enterprise. Areas of Accountability Extend & Maintain the Data Platform Build and maintain dbt models following best practices for modularity, testing, documentation, and code quality Contribute to completion of open data model workstreams across inventory, media, and product functions Expand data source connectivity and pipeline coverage across marketing and fulfillment systems Maintain and improve ETL/ELT workflows via Daasity and BigQuery Help monitor and optimize cloud data infrastructure for cost and performance Bridge Data to the Business Deploy and maintain Omni dashboards on top of BigQuery for cross-functional stakeholders Support business KPI tracking by structuring financial data for forecasting, cost modeling, and channel-level P&L Contribute to predictive models for demand forecasting, inventory planning, and revenue projections Build and maintain the serving layer that the AI team queries — clean, modeled BigQuery tables in place of direct API calls AI-Augmented Development Use AI coding tools (Claude Code, Cursor, Copilot) daily to write dbt models, debug pipelines, and accelerate development Collaborate with the AI team to ensure the warehouse serves their applications with clean inputs for automation, ML models, and real-time ops tools Identify opportunities where AI can automate data quality checks, anomaly detection, and pipeline monitoring Cross Functional Collaboration Work with finance to ensure financial data structures support forecasting and P&L reporting needs Partner with the AI team to ensure warehouse outputs support downstream automation and machine learning applications Work alongside merchandising, operations, and analytics stakeholders to translate business questions into reliable data models and visualizations Qualifications 4+ years of experience in data engineering or analytics engineering Strong understanding of data engineering best practices: pipeline design, data modeling, testing, and documentation Hands-on experience with dbt Cloud, Google BigQuery, and SaaS API pipeline development Strong SQL skills including joins, window functions, and CTEs Python proficiency for pipeline scripting, API integrations, and light modeling Familiarity with statistical modeling and predictive analytics (regression, time series) Comfortable working with non-technical stakeholders to translate business questions into data models and visualizations Proficiency with AI coding tools — daily use expected Preferred Qualifications NetSuite or ERP experience Daasity, Shopify/Amazon data Marketing attribution platforms (Meta CAPI, Google Ads, Triple Whale), Omni/Looker, GitHub-based workflows Workplace Arrangement This role is on-site (5x week in office) based in Calabasas, CA. Compensation and Benefits Compensation Competitive Salary + bonus Time Off Unlimited PTO and sick time Health & Wellness Company-paid medical, dental, and vision insurance $100/month Health & Wellness stipend Free Employee Assistance Program (EAP) Work & Growth Support $100/month Personal Workspace/Office stipend Perks $1,000/year True Classic merchandise allowance 401(k) plan with 3% company match True Classic is proud to be an equal opportunity employer. We celebrate and support differences in race, religion, color, national origin, gender, sexual orientation, gender identity, age, veteran status, and abilities. If you need assistance or accommodation due to a disability, please contact Human Resources. At True Classic, our purpose is simple: empower everyone to look good and feel good. Founded in 2019, we’re a fast-growing apparel brand obsessed with fit, quality, and impact. But we’re building more than great products—we’re building a high-performance team where smart, driven people do meaningful work, move fast, and see the direct results of what they create. Everything we do is guided by the True Classic Operating System (TCOS)—the principles that shape how we work, make decisions, and win together: Move the Needle – Our #1 value and the ultimate filter for decision-making. We focus on delivering tangible, measurable results that drive real business impact. Paint the Picture – We set clear vision and help others see what great looks like. Seek the Truth – We use data, customer insight, and curiosity to guide decisions. Get 1% Better – We continuously improve how we work through strong systems and small wins. Build Leverage – We maximize impact with the right mix of people, tools, automation, and AI. Crush the Challenge – We surface problems early and take ownership to solve them. Go Fast – We take initiative, move with urgency, and bias toward action. Be Creative – We challenge the norm and find better ways to win. Lead with Empathy – We care deeply about our customers and each other. If you thrive in fast-paced environments, take ownership of your work, and want to build something that actually moves the needle—join us and help shape what’s next at True Classic!", "summaryDescription" : "Data & Analytics Engineer at True Classic. Skills: Data Engineering, Analytics Engineering, Machine Learning, Business Intelligence. Design, build, and maintain scalable data pipelines. Develop and optimize data models and schemas", "postedDate" : "2026-06-14T19:16:27.116", "createdAt" : "2026-06-14T19:16:27.116", "lastUpdated" : "2026-06-16T01:02:24.906", "ingestTimestamp" : "2026-06-14T19:16:27.116", "mongoId" : "6a2ca53b74d8ee00a09b550a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Database management", "Cloud computing", "Machine learning implementation", "Statistical modeling", "Data visualization", "Data Engineering", "Analytics Engineering", "Machine Learning", "Business Intelligence", "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Data analysis", "Statistical analysis", "Machine learning", "A/B testing", "Causal inference", "Data governance", "Data quality", "Data architecture", "E-commerce analytics", "Customer behavior analysis", "Marketing analytics", "Supply chain analytics", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch" ], "skillCount" : 46, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6ae374d8ee00a090ee1d", "title" : "Senior Software Engineer - Data Analytics", "company" : "PubMatic", "location" : "Pune", "locations" : [ "Pune" ], "timestamp" : "2026-06-15T13:42:20.572", "fingerprint" : "f0a09d797a7b8bddfdfb8fb14fcaa6ba7553a1bdebf9f9a9dab36e9b221f47d6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://pubmatic.com/job/?gh_jid=5146913008", "externalId" : "5146913008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pune", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Pune, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 1, "experienceMaxYears" : 5, "experienceLevel" : "Senior", "technicalSkills" : "Scala, Python, Java, REST APIs, JDBC, LLMs, OpenAI, Claude, Mistral, LangChain, LlamaIndex", "professionalSkills" : [ "Data Analytics, Big Data, AI agents, GenAI, digital advertising." ], "hardSkillsList" : [ "Scala Spark", "Kafka", "Hadoop", "Snowflake", "OpenAI", "Anthropic", "Cohere" ], "hardSkills" : [ { "name" : "Scala Spark", "level" : "intermediate" }, { "name" : "Kafka", "level" : "intermediate" }, { "name" : "Hadoop", "level" : "intermediate" }, { "name" : "Snowflake", "level" : "intermediate" }, { "name" : "OpenAI", "level" : "intermediate" }, { "name" : "Anthropic", "level" : "intermediate" }, { "name" : "Cohere", "level" : "intermediate" } ], "majorSkills" : "Scala, Spark, Kafka, Hadoop, GenAI", "majorSkillsList" : [ "Scala, Spark, Kafka, Hadoop, GenAI" ], "coreResponsibilities" : "Build, design, and implement highly scalable, fault-tolerant big data platform; Develop backend services; Build and maintain Big Data pipelines; Architect and implement real-time data processing workflows; Design and develop GenAI-powered agents; Integrate LLMs into existing services; Manage end-to-end GenAI workflows; Work closely with cross-functional teams; Participate in Agile/Scrum processes; Discuss software features with product managers; Support customer issues; Perform code and design reviews.", "teamCollaboration" : "Working closely with cross-functional teams on improving the availability and scalability of large data platforms and the functionality of PubMatic software.", "projectManagementSkills" : [ "Agile/Scrum processes", "sprint planning", "sprint retrospective", "backlog grooming", "user story management", "work item prioritization" ], "toolProficiency" : [ "AWS, JIRA" ], "communicationSkills" : "discuss with product managers; customer issues", "problemSolvingSkills" : "data structure; algorithm design; architectural specifications; distributed systems", "specialRequirements" : "We don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.", "outcomesObjectives" : "Enhance data analytics capabilities, enable platform to handle complex information retrieval, contextual understanding, and adaptive interactions, ultimately improving data-driven insights and analytical workflows.", "qualificationsBasic" : "1-5 plus years of coding experience in Java and backend development. Solid computer science fundamentals, including data structure and algorithm design, and creation of architectural specifications. Expertise in developing the Implementation of professional software engineering best practices for the full software development life cycle, including coding standards, code reviews. Hands-on experience with Big Data tools and systems like Scala Spark, Kafka, Hadoop, Snowflake. Proven expertise in building GenAI applications, including: LLM integration (OpenAI, Anthropic, Cohere, etc. ) LangChain, or similar agent orchestration libraries Prompt engineering, embedding, and retrieval-based generation (RAG) Experience in developing and deploying scalable, production-grade AI or data systems. Ability to lead end-to-end feature development and debug distributed systems. Experience in developing and delivering large-scale big data pipelines, real-time systems.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About the Role PubMatic is seeking Data Analytics-focused Senior / Software Engineers with expertise in building and optimizing AI agents, including strong skills in Hadoop, Spark, Scala, Kafka, Spark Streaming, and cloud-based solutions, with proficiency in programming languages such as Scala and Python. You will be responsible for developing advanced AI agents that enhance our data analytics capabilities, enabling our platform to handle complex information retrieval, contextual understanding, and adaptive interactions, ultimately improving our data-driven insights and analytical workflows. What You'll Do: Build, design, and implement our highly scalable, fault-tolerant big data platform to process terabytes of data and provide customers with in-depth analytics. Develop backend services using Java, REST APIs, JDBC, and AWS. Build and maintain Big Data pipelines using technologies like Spark, Hadoop, Kafka, and Snowflake. Architect and implement real-time data processing workflows and automation frameworks. Design and develop GenAI-powered agents for analytics, operations, and data enrichment use cases using frameworks like LangChain, LlamaIndex, or custom orchestration systems. Integrate LLMs (e.g., OpenAI, Claude, Mistral) into existing services for query understanding, summarization, and decision support. Manage end-to-end GenAI workflows including prompt engineering, fine-tuning, vector embeddings, and retrieval-augmented generation (RAG). Working closely with cross-functional teams on improving the availability and scalability of large data platforms and the functionality of PubMatic software. Participate in Agile/Scrum processes such as sprint planning, sprint retrospective, backlog grooming, user story management, and work item prioritization. Frequently discuss with product managers about the software features to include in the PubMatic Data Analytics platform. Support customer issues over email or JIRA (bug tracking system), provide updates, and patches to customers to fix the issues. Perform code and design reviews for code implemented by peers or as per the code review process. We'd Love for You to Have: 1-5 plus years of coding experience in Java and backend development. Solid computer science fundamentals, including data structure and algorithm design, and creation of architectural specifications. Expertise in developing the Implementation of professional software engineering best practices for the full software development life cycle, including coding standards, code reviews. Hands-on experience with Big Data tools and systems like Scala Spark, Kafka, Hadoop, Snowflake. Proven expertise in building GenAI applications, including: LLM integration (OpenAI, Anthropic, Cohere, etc.) LangChain, or similar agent orchestration libraries Prompt engineering, embedding, and retrieval-based generation (RAG) Experience in developing and deploying scalable, production-grade AI or data systems. Ability to lead end-to-end feature development and debug distributed systems. Experience in developing and delivering large-scale big data pipelines, real-time systems we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status About PubMatic PubMatic is one of the world’s leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes. Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.", "summaryDescription" : "Senior Software Engineer - Data Analytics at PubMatic. Skills: Scala, Spark, Kafka, Hadoop, GenAI. Build, design, and implement highly scalable, fault-tolerant big data platform; Develop backend services; Build and maintain Big Data pipelines; Architect and implement real-time data processing workflows; Design and develop GenAI-powered agents; Integrate LLMs into existing services; Manage end-to-end GenAI workflows; Work closely with cross-functional teams; Participate in Agile/Scrum processes; ", "postedDate" : "2026-06-14T19:14:54.232", "createdAt" : "2026-06-14T19:14:54.232", "lastUpdated" : "2026-06-15T13:42:20.572", "ingestTimestamp" : "2026-06-14T19:14:54.232", "mongoId" : "6a2c6ae374d8ee00a090ee1d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Scala Spark", "Kafka", "Hadoop", "Snowflake", "OpenAI", "Anthropic", "Cohere", "Scala, Spark, Kafka, Hadoop, GenAI", "Data Analytics, Big Data, AI agents, GenAI, digital advertising.", "Agile/Scrum processes", "sprint planning", "sprint retrospective", "backlog grooming", "user story management", "work item prioritization", "AWS, JIRA" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3078d3f292fd229c02d070", "title" : "Graduate Software Engineer (Data, Analytics, Automation & AI)", "company" : "Smiths Group", "industry" : "Mechanical Or Industrial Engineering", "salary" : { "min" : 32000.0, "max" : 40000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Graduate Software Engineer in Birmingham, UK, adjusted for entry-level seniority and the manufacturing industry." }, "location" : "Birmingham, England, United Kingdom", "locations" : [ "Birmingham", "England", "United Kingdom" ], "certifications" : [ "Azure Fundamentals" ], "timestamp" : "2026-06-16T10:51:56.509", "fingerprint" : "3ac6b8684c2c1d91e6d2e2fecb2a22d7de11dff958e08be85ee946197228a2ed", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SmithsGroup2/744000132141649-graduate-software-engineer-data-analytics-automation-ai-2-years-ftc", "externalId" : "744000132141649", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Birmingham", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.4948994,-1.8518439" } ], "locationText" : "Birmingham, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Python, Java, Data platforms, AI, Automation, Power BI, Azure, AWS", "professionalSkills" : [ "Software engineering principles", "Business engagement", "System integration", "Data governance", "Data quality" ], "hardSkillsList" : [ "Data preparation", "Data transformation", "Performance tracking", "Process automation", "System optimisation", "Dataset validation", "Solution deployment", "Efficiency improvements" ], "hardSkills" : [ { "name" : "Data preparation", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Performance tracking", "level" : "intermediate" }, { "name" : "Process automation", "level" : "intermediate" }, { "name" : "System optimisation", "level" : "intermediate" }, { "name" : "Dataset validation", "level" : "intermediate" }, { "name" : "Solution deployment", "level" : "intermediate" }, { "name" : "Efficiency improvements", "level" : "intermediate" } ], "majorSkills" : "Data Engineering, AI, Automation, Software Development", "majorSkillsList" : [ "Data Engineering", "AI", "Automation", "Software Development" ], "coreResponsibilities" : "Support development of software solutions, Support enhancement of software solutions, Support optimisation of software solutions, Support delivery of data use cases, Support delivery of analytics use cases, Support delivery of AI use cases, Develop dashboards, Develop visualisations, Assist building AI solutions, Assist deploying AI solutions, Assist building automation solutions, Assist deploying automation solutions, Work on system integration, Work on system optimisation, Support data governance initiatives, Support data quality initiatives, Collaborate with engineers, Collaborate with data specialists, Collaborate with business stakeholders, Assist with testing solutions, Assist with deployment solutions, Assist with monitoring solutions, Assist with continuous improvement, Help identify automation opportunities, Help identify efficiency improvements, Contribute to documentation, Contribute to training materials, Contribute to user support, Participate in agile delivery", "teamCollaboration" : "Global team; Business stakeholders", "projectManagementSkills" : [ "Agile delivery practices" ], "domainKnowledge" : "Enterprise systems; Data platforms; AI-enabled capabilities; GenAI use cases; Intelligent workflows", "domainList" : [ "enterprise-systems", "data-platforms", "ai-enabled-capabilities", "genai-use-cases", "intelligent-workflows" ], "domainSpecificKnowledge" : [ "Enterprise systems", "Data platforms", "AI-enabled capabilities", "GenAI use cases", "Intelligent workflows" ], "toolProficiency" : [ "Power BI" ], "documentationSkills" : "Documentation", "problemSolvingSkills" : "Problem-solving", "outcomesObjectives" : "Improve operational efficiency; Enable better decision-making; Deliver measurable business value", "qualificationsBasic" : "Foundational software development skills, Understanding of data concepts, Basic analytics understanding, Problem-solving ability, Basic SDLC knowledge, Basic version control knowledge, Degree in related technical discipline, Demonstrable foundation in software development, Exposure to real-world working environments", "qualificationsPreferred" : "Experience with Power Platform, Experience with Power BI, Cloud platforms exposure, AI / ML concepts familiarity, APIs experience, Automation tools experience, Experience applying technology to solve problems, Relevant certifications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Smiths Group designs, manufactures and delivers smarter engineering solutions for mission-critical applications, solving some of the world's toughest problems for our customers, our communities and our world. For over 170 years, Smiths Group has been pioneering progress by improving the world through smarter engineering. We serve millions of people every year, to help create a safer, more efficient and better-connected world, across four major global markets: Energy, General Industry, Security & Defence, and Aerospace. Listed on the London Stock Exchange, Smiths employs 14,600 colleagues in over 50+ countries. This pioneering spirit continues to drive us today, underpinned by our powerful culture. Improving our world is what we do, how we think, and how we will continue to use our passion for technology and engineering to tackle our customers biggest challenges today and in the future. We're looking for people with curious minds. Who want responsibility and relish a challenge. Whether you're an experienced professional or just starting out, our global scale and focus on growth means we have some great career opportunities for you. There's never been a better time to join Smiths. Visit us at - [www.smiths.com](https://www.smiths.com/) Job Purpose: The Graduate Software Engineer will support the development, enhancement and optimisation of enterprise systems, data platforms and AI-enabled capabilities across IT. Working within a global team, the role focuses on applying software engineering principles to real business challenges—leveraging data, analytics, automation and emerging AI technologies to improve operational efficiency, enable better decision-making and deliver measurable business value. This role blends hands-on engineering with business engagement, supporting the delivery of scalable solutions, proof-of-concepts and continuous improvements across platforms and processes. This is a 2 year Fixed Term Contract starting the end of September to be based from our Birmingham site, working Monday to Friday. Assessment days for this position are scheduled to take place on 8th and 9th July at our Birmingham office. Duties: * Contribute to the design, development and enhancement of software solutions across enterprise platforms and systems * Support delivery of data, analytics and AI use cases, including data preparation, transformation, testing and validation of outputs * Develop dashboards and visualisations (e.g. Power BI) to provide actionable insights and track performance outcomes * Assist in building and deploying AI and automation solutions, including GenAI use cases, process automation and intelligent workflows * Work on integration and optimisation of systems to unlock value across the organisation * Support data governance and data quality initiatives, ensuring reliable and trusted datasets * Collaborate with engineers, data specialists and business stakeholders to translate requirements into deliverable solutions * Assist with testing, deployment, monitoring and continuous improvement of solutions in production environments * Help identify opportunities for automation and efficiency improvements across IT and the business * Contribute to documentation, training materials and user support to drive adoption of solutions * Participate in agile delivery practices * You should note that your title and job description are not exhaustive, and the Company may require you from time to time to undertake other reasonable tasks within your capacity. ## Qualifications Skills & Experience Required: Essential: * Foundational software development skills (e.g. Python, Java, or similar) * Understanding of data concepts and basic analytics * Strong problem-solving ability * Ability to communicate and collaborate effectively * Interest in AI, automation and data platforms * Basic SDLC and version control knowledge Desirable: * Experience with Power Platform / Power BI * Exposure to cloud platforms (Azure, AWS) * Familiarity with AI / ML concepts * Experience with APIs or automation tools . Qualifications Essential: * Degree in a related technical discipline (or equivalent practical experience) * Demonstrable foundation in software development (through academic work, projects or practical experience) * Exposure to real-world working environments (e.g. internships, placements, part-time roles or project-based experience) Desirable: * Experience applying technology to solve practical problems (e.g. academic projects, hackathons, personal initiatives) * Relevant certifications aligned to cloud, data or AI technologies (e.g. Azure Fundamentals) ## Additional Information Diversity & Inclusion: We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity. At no time during the hiring process will Smiths Detection, Smiths Group, nor any of our recruitment partners ever request payment to enable participation – including, but not limited to, interviews or testing. Avoid fraudulent requests by applying jobs directly through our career’s website ([Careers - Smiths Group plc](https://www.smiths.com/careers)) We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of color, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity. At no time during the hiring process will Smiths Group, nor any of our recruitment partners ever request payment to enable participation – including, but not limited to, interviews or testing. Avoid fraudulent requests by applying jobs directly through our career’s website ([Careers - Smiths Group plc](https://www.smiths.com/careers))", "summaryDescription" : "Graduate Software Engineer (Data, Analytics, Automation & AI) at Smiths Group. Skills: Data Engineering, AI, Automation, Software Development. Support development of software solutions. Support enhancement of software solutions", "postedDate" : "2026-06-15T08:28:37.000", "createdAt" : "2026-06-16T01:36:20.757", "lastUpdated" : "2026-06-16T10:51:56.509", "ingestTimestamp" : "2026-06-16T01:36:20.757", "mongoId" : "6a3078d3f292fd229c02d070", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data preparation", "Data transformation", "Performance tracking", "Process automation", "System optimisation", "Dataset validation", "Solution deployment", "Efficiency improvements", "Data Engineering", "AI", "Automation", "Software Development", "Software engineering principles", "Business engagement", "System integration", "Data governance", "Data quality", "Agile delivery practices", "Enterprise systems", "Data platforms", "AI-enabled capabilities", "GenAI use cases", "Intelligent workflows", "Azure Fundamentals", "Power BI" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3058fbf292fd229cf44950", "title" : "Graduate Software Engineer (Data, Analytics, Automation & AI)", "company" : "Smiths Group", "industry" : "Mechanical Or Industrial Engineering", "salary" : { "min" : 32000.0, "max" : 40000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Graduate Software Engineer in Birmingham, UK, adjusted for the manufacturing industry and company size." }, "location" : "Birmingham, England, United Kingdom", "locations" : [ "Birmingham", "England", "United Kingdom" ], "certifications" : [ "Azure Fundamentals" ], "timestamp" : "2026-06-16T09:11:05.492", "fingerprint" : "628afe091bda181bff61f6bbdffb6cd88899edb2d6cb00ec3fb81b7d71a61467", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SmithsGroup2/744000132141649-graduate-software-engineer-data-analytics-automation-ai-2-years-ftc", "externalId" : "744000132141649", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Birmingham", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.4948994,-1.8518439" } ], "locationText" : "Birmingham, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Python, Java, Data platforms, AI technologies, Power BI, GenAI, APIs, Automation tools", "professionalSkills" : [ "Software engineering principles", "Business engagement", "System integration", "Process optimisation" ], "hardSkillsList" : [ "Data preparation", "Data transformation", "Performance tracking", "System optimisation", "Data governance", "Data quality", "Testing", "Deployment", "Monitoring", "Continuous improvement", "Documentation", "Training materials", "User support" ], "softSkillsList" : [ "Curious minds" ], "hardSkills" : [ { "name" : "Data preparation", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Performance tracking", "level" : "intermediate" }, { "name" : "System optimisation", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Testing", "level" : "intermediate" }, { "name" : "Deployment", "level" : "intermediate" }, { "name" : "Monitoring", "level" : "intermediate" }, { "name" : "Continuous improvement", "level" : "intermediate" }, { "name" : "Documentation", "level" : "intermediate" }, { "name" : "Training materials", "level" : "intermediate" }, { "name" : "User support", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious minds" } ], "majorSkills" : "Data Engineering, Analytics, Automation, AI", "majorSkillsList" : [ "Data Engineering", "Analytics", "Automation", "AI" ], "coreResponsibilities" : "Support development of software solutions, Support enhancement of software solutions, Support optimisation of software solutions, Support delivery of data use cases, Support delivery of analytics use cases, Support delivery of AI use cases, Develop dashboards, Develop visualisations, Assist building AI solutions, Assist deploying AI solutions, Assist building automation solutions, Assist deploying automation solutions, Work on system integration, Work on system optimisation, Support data governance, Support data quality, Collaborate with engineers, Collaborate with data specialists, Collaborate with business stakeholders, Assist with testing, Assist with deployment, Assist with monitoring, Assist with continuous improvement, Help identify automation opportunities, Help identify efficiency improvements, Contribute to documentation, Contribute to training materials, Contribute to user support, Participate in agile delivery", "teamCollaboration" : "Global team; Business stakeholders; Engineers; Data specialists", "projectManagementSkills" : [ "Agile delivery practices" ], "domainKnowledge" : "Enterprise systems; Data platforms; AI-enabled capabilities; Operational efficiency; Business value; Scalable solutions; Proof-of-concepts; Cloud platforms; AI / ML concepts; APIs; Automation tools", "domainList" : [ "enterprise-systems", "data-platforms", "ai-enabled-capabilities", "operational-efficiency", "business-value", "scalable-solutions", "proof-of-concepts", "cloud-platforms", "ai-ml-concepts", "apis", "automation-tools" ], "domainSpecificKnowledge" : [ "Enterprise systems", "Data platforms", "AI-enabled capabilities", "Operational efficiency", "Business value", "Scalable solutions", "Proof-of-concepts", "Cloud platforms", "AI / ML concepts", "APIs", "Automation tools" ], "toolProficiency" : [ "Power BI" ], "communicationSkills" : "Communicate effectively", "problemSolvingSkills" : "Problem-solving ability", "outcomesObjectives" : "Improve operational efficiency; Enable better decision-making; Deliver measurable business value", "qualificationsBasic" : "Foundational software development skills, Understanding of data concepts, Basic analytics understanding, Problem-solving ability, Basic SDLC knowledge, Basic version control knowledge, Degree in related technical discipline, Demonstrable foundation in software development, Exposure to real-world working environments", "qualificationsPreferred" : "Experience with Power Platform, Experience with Power BI, Exposure to cloud platforms, Familiarity with AI / ML concepts, Experience with APIs, Experience with automation tools, Experience applying technology to solve problems, Relevant certifications aligned to cloud, Relevant certifications aligned to data, Relevant certifications aligned to AI technologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Smiths Group designs, manufactures and delivers smarter engineering solutions for mission-critical applications, solving some of the world's toughest problems for our customers, our communities and our world. For over 170 years, Smiths Group has been pioneering progress by improving the world through smarter engineering. We serve millions of people every year, to help create a safer, more efficient and better-connected world, across four major global markets: Energy, General Industry, Security & Defence, and Aerospace. Listed on the London Stock Exchange, Smiths employs 14,600 colleagues in over 50+ countries. This pioneering spirit continues to drive us today, underpinned by our powerful culture. Improving our world is what we do, how we think, and how we will continue to use our passion for technology and engineering to tackle our customers biggest challenges today and in the future. We're looking for people with curious minds. Who want responsibility and relish a challenge. Whether you're an experienced professional or just starting out, our global scale and focus on growth means we have some great career opportunities for you. There's never been a better time to join Smiths. Visit us at - [www.smiths.com](https://www.smiths.com/) Job Purpose: The Graduate Software Engineer will support the development, enhancement and optimisation of enterprise systems, data platforms and AI-enabled capabilities across IT. Working within a global team, the role focuses on applying software engineering principles to real business challenges—leveraging data, analytics, automation and emerging AI technologies to improve operational efficiency, enable better decision-making and deliver measurable business value. This role blends hands-on engineering with business engagement, supporting the delivery of scalable solutions, proof-of-concepts and continuous improvements across platforms and processes. This is a 2 year Fixed Term Contract starting the end of September to be based from our Birmingham site, working Monday to Friday. Assessment days for this position are scheduled to take place on 8th and 9th July at our Birmingham office. Duties: * Contribute to the design, development and enhancement of software solutions across enterprise platforms and systems * Support delivery of data, analytics and AI use cases, including data preparation, transformation, testing and validation of outputs * Develop dashboards and visualisations (e.g. Power BI) to provide actionable insights and track performance outcomes * Assist in building and deploying AI and automation solutions, including GenAI use cases, process automation and intelligent workflows * Work on integration and optimisation of systems to unlock value across the organisation * Support data governance and data quality initiatives, ensuring reliable and trusted datasets * Collaborate with engineers, data specialists and business stakeholders to translate requirements into deliverable solutions * Assist with testing, deployment, monitoring and continuous improvement of solutions in production environments * Help identify opportunities for automation and efficiency improvements across IT and the business * Contribute to documentation, training materials and user support to drive adoption of solutions * Participate in agile delivery practices * You should note that your title and job description are not exhaustive, and the Company may require you from time to time to undertake other reasonable tasks within your capacity. ## Qualifications Skills & Experience Required: Essential: * Foundational software development skills (e.g. Python, Java, or similar) * Understanding of data concepts and basic analytics * Strong problem-solving ability * Ability to communicate and collaborate effectively * Interest in AI, automation and data platforms * Basic SDLC and version control knowledge Desirable: * Experience with Power Platform / Power BI * Exposure to cloud platforms (Azure, AWS) * Familiarity with AI / ML concepts * Experience with APIs or automation tools . Qualifications Essential: * Degree in a related technical discipline (or equivalent practical experience) * Demonstrable foundation in software development (through academic work, projects or practical experience) * Exposure to real-world working environments (e.g. internships, placements, part-time roles or project-based experience) Desirable: * Experience applying technology to solve practical problems (e.g. academic projects, hackathons, personal initiatives) * Relevant certifications aligned to cloud, data or AI technologies (e.g. Azure Fundamentals) ## Additional Information Diversity & Inclusion: We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity. At no time during the hiring process will Smiths Detection, Smiths Group, nor any of our recruitment partners ever request payment to enable participation – including, but not limited to, interviews or testing. Avoid fraudulent requests by applying jobs directly through our career’s website ([Careers - Smiths Group plc](https://www.smiths.com/careers)) We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of color, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity. At no time during the hiring process will Smiths Group, nor any of our recruitment partners ever request payment to enable participation – including, but not limited to, interviews or testing. Avoid fraudulent requests by applying jobs directly through our career’s website ([Careers - Smiths Group plc](https://www.smiths.com/careers))", "summaryDescription" : "Graduate Software Engineer (Data, Analytics, Automation & AI) at Smiths Group. Skills: Data Engineering, Analytics, Automation, AI. Support development of software solutions. Support enhancement of software solutions", "postedDate" : "2026-06-15T08:28:37.000", "createdAt" : "2026-06-15T23:57:47.260", "lastUpdated" : "2026-06-16T09:11:05.492", "ingestTimestamp" : "2026-06-15T23:57:47.260", "mongoId" : "6a3058fbf292fd229cf44950", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data preparation", "Data transformation", "Performance tracking", "System optimisation", "Data governance", "Data quality", "Testing", "Deployment", "Monitoring", "Continuous improvement", "Documentation", "Training materials", "User support", "Curious minds", "Data Engineering", "Analytics", "Automation", "AI", "Software engineering principles", "Business engagement", "System integration", "Process optimisation", "Agile delivery practices", "Enterprise systems", "Data platforms", "AI-enabled capabilities", "Operational efficiency", "Business value", "Scalable solutions", "Proof-of-concepts", "Cloud platforms", "AI / ML concepts", "APIs", "Automation tools", "Azure Fundamentals", "Power BI" ], "skillCount" : 36, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2da0b774d8ee00a0c5e94d", "title" : "Director, Agentic + GenAI, Data & Analytics, Advisory", "company" : "Pwc", "location" : "India", "locations" : [ "India" ], "certifications" : [ ], "timestamp" : "2026-06-15T06:56:35.892", "fingerprint" : "e3630741dfc66a4ec5fa78e15a5384b9b125db320e1b43a2cf539b3edc1b24b2", "source" : "workday", "applyUrl" : "https://pwc.wd3.myworkdayjobs.com/Global_Experienced_Careers/job/Mumbai-Goregaon/IN--Director--Agentic---GenAI--Data---Analytics--Advisory--Mumbai_736299WD-1", "externalId" : "736299WD", "industryFunction" : { }, "locationPoint" : "20.5937,78.9629", "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 14, "experienceMaxYears" : 17, "experienceLevel" : "Director", "technicalSkills" : "Python, LLM, multimodal models, feature engineering, embedding optimization, dimensionality reduction, RAG systems, vector databases, semantic search, Knowledge graph, quantization, knowledge distillation", "professionalSkills" : [ "Experience in financial services domain will be a plus. Experience in solving use cases in Asset management, Wealth management or investment banking using AI/ML. Experience in industries such as finance, consulting." ], "hardSkillsList" : [ "Agentic AI", "GenAI", "Python", "LLM frameworks", "prompt engineering", "ML development lifecycle", "fine-tuning", "evaluation", "feature engineering", "embedding optimization", "dimensionality reduction", "A/B testing", "experimental design", "statistical hypothesis testing", "RAG systems", "vector databases", "semantic search implementation", "Knowledge graph", "LLM optimization techniques", "quantization", "knowledge distillation", "MLOps practices", "AutoGPT", "LangChain", "ReAct", "DSPy" ], "softSkillsList" : [ "Accepting Feedback, Active Listening, Coaching and Feedback, Communication, Creativity" ], "hardSkills" : [ { "name" : "Agentic AI", "level" : "intermediate" }, { "name" : "GenAI", "level" : "intermediate" }, { "name" : "Python", "level" : "intermediate" }, { "name" : "LLM frameworks", "level" : "intermediate" }, { "name" : "prompt engineering", "level" : "intermediate" }, { "name" : "ML development lifecycle", "level" : "intermediate" }, { "name" : "fine-tuning", "level" : "intermediate" }, { "name" : "evaluation", "level" : "intermediate" }, { "name" : "feature engineering", "level" : "intermediate" }, { "name" : "embedding optimization", "level" : "intermediate" }, { "name" : "dimensionality reduction", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "experimental design", "level" : "intermediate" }, { "name" : "statistical hypothesis testing", "level" : "intermediate" }, { "name" : "RAG systems", "level" : "intermediate" }, { "name" : "vector databases", "level" : "intermediate" }, { "name" : "semantic search implementation", "level" : "intermediate" }, { "name" : "Knowledge graph", "level" : "intermediate" }, { "name" : "LLM optimization techniques", "level" : "intermediate" }, { "name" : "quantization", "level" : "intermediate" }, { "name" : "knowledge distillation", "level" : "intermediate" }, { "name" : "MLOps practices", "level" : "intermediate" }, { "name" : "AutoGPT", "level" : "intermediate" }, { "name" : "LangChain", "level" : "intermediate" }, { "name" : "ReAct", "level" : "intermediate" }, { "name" : "DSPy", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Accepting Feedback, Active Listening, Coaching and Feedback, Communication, Creativity" } ], "majorSkills" : "Agentic AI, GenAI, LLM, Python, Data & Analytics", "majorSkillsList" : [ "Agentic AI, GenAI, LLM, Python, Data & Analytics" ], "coreResponsibilities" : "Define and execute the long-term roadmap for Agentic AI and GenAI initiatives. Identify and prioritize opportunities where autonomous agents and generative AI can drive business value. Collaborate with executive leadership to align AI strategy with overall business goals. Lead architecture and hands-on development of intelligent agent frameworks. Oversee the application of LLMs, multimodal models, and fine-tuning strategies for domain-specific use cases. Evaluate and integrate emerging GenAI/Agentic technologies. Build, mentor, and scale a world-class team of AI researchers, ML engineers, and product managers. Foster a interdisciplinary culture of innovation and experimentation. Collaborate cross-functionally with data engineering, product, legal, and design teams. Oversee data pipelines, model training, inference infrastructure, and model governance. Establish benchmarks and evaluation protocols for agent behavior, safety, and performance. Ensure ethical and responsible AI development practices are followed.", "teamCollaboration" : "Foster a interdisciplinary culture of innovation and experimentation. Collaborate cross-functionally with data engineering, product, legal, and design teams.", "toolProficiency" : [ "AutoGPT, LangChain, ReAct, DSPy, Hugging Face, Transformers, Alteryx (Automation Platform)" ], "communicationSkills" : "Communication", "continuousLearning" : "Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other.", "innovationCreativity" : "Foster a interdisciplinary culture of innovation and experimentation.", "problemSolvingSkills" : "Algorithm Development; Complex Data Analysis; Data Analysis; Data Modeling; Analytic Research", "specialRequirements" : "We believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.", "outcomesObjectives" : "Help organizations uncover enterprise insights and drive business results using smarter data analytics. Drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. Make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.", "qualificationsBasic" : "Advanced proficiency in Python. Extensive experience with LLM frameworks (Hugging Face, Transformers, LangChain) and prompt engineering techniques. Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation. Expertise in feature engineering, embedding optimization, and dimensionality reduction. Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing. Experience with RAG systems, vector databases, semantic search implementation and Knowledge graph. Proficiency in LLM optimization techniques including quantization and knowledge distillation. Understanding of MLOps practices for model deployment and monitoring.", "qualificationsPreferred" : "Experience in financial services domain will be a plus. Experience in solving use cases in Asset management, Wealth management or investment banking using AI/ML. Track record of publishing or contributing to open-source AI frameworks. Understanding of regulatory, ethical, and societal implications of autonomous AI systems.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Line of Service** Advisory **Industry/Sector** Not Applicable **Specialism** Data, Analytics & AI **Management Level** Director **Job Description & Summary** At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. _* Why PWC_ At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more _[about us](https://www.pwc.in/about-us.html)_ . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. \" **Job Description & Summary: **A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. **Responsibilities:** **Strategic Leadership** * Define and execute the long-term roadmap for Agentic AI and GenAI initiatives. * Identify and prioritize opportunities where autonomous agents and generative AI can drive business value. * Collaborate with executive leadership to align AI strategy with overall business goals. **Must have Technology & Research Oversight** * Lead architecture and hands-on development of intelligent agent frameworks (e.g., goal-driven, tool-using agents). * Oversee the application of LLMs, multimodal models, and fine-tuning strategies for domain-specific use cases. * Evaluate and integrate emerging GenAI/Agentic technologies (e.g., AutoGPT, LangChain, ReAct, DSPy, etc.). • Advanced proficiency in Python. • Extensive experience with LLM frameworks (Hugging Face, Transformers, LangChain) and prompt engineering techniques. Must have: • Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation • Expertise in feature engineering, embedding optimization, and dimensionality reduction • Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing • Experience with RAG systems, vector databases, semantic search implementation and Knowledge graph. • Proficiency in LLM optimization techniques including quantization and knowledge distillation • Understanding of MLOps practices for model deployment and monitoring **T eam Management & Collaboration** * Build, mentor, and scale a world-class team of AI researchers, ML engineers, and product managers. * Foster a strong interdisciplinary culture of innovation and experimentation. * Collaborate cross-functionally with data engineering, product, legal, and design teams. **Operational Excellence** * Oversee data pipelines, model training, inference infrastructure, and model governance. * Establish benchmarks and evaluation protocols for agent behavior, safety, and performance. * Ensure ethical and responsible AI development practices are followed. **Good to have Domain/functional knowledge ** * Experience in financial services domain will be a plus. * Experience in solving use cases in Asset management, Wealth management or investment banking using AI/ML. **Mandatory skill sets:** GenAI/Agentic technologies (e.g., AutoGPT, LangChain, ReAct, DSPy, etc.). **Preferred skill sets:** * Lang Experience in industries such as finance, consulting * Track record of publishing or contributing to open-source AI frameworks. * Understanding of regulatory, ethical, and societal implications of autonomous AI system **Years of experience required:** 14-17 **Education qualification:** B.Tech / M.Tech / MBA / MCA **Education** _(if blank, degree and/or field of study not specified)_ Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Engineering, Master of Engineering Degrees/Field of Study preferred: **Certifications** _(if blank, certifications not specified)_ **Required Skills** Agilent Technologies GeneSpring GX **Optional Skills** Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling {+ 50 more} **Desired Languages** _(If blank, desired languages not specified)_ **Travel Requirements** **Available for Work Visa Sponsorship?** **Government Clearance Required?** **Job Posting End Date** June 26, 2026", "summaryDescription" : "Director, Agentic + GenAI, Data & Analytics, Advisory at Pwc. Skills: Agentic AI, GenAI, LLM, Python, Data & Analytics. Define and execute the long-term roadmap for Agentic AI and GenAI initiatives. Identify and prioritize opportunities where autonomous agents and generative AI can drive business value. Collaborate with executive leadership to align AI strategy with overall business goals. Lead architecture and hands-on development of intelligent agent frameworks. Oversee the application of LLMs", "postedDate" : "2026-06-13T20:57:02.451", "createdAt" : "2026-06-14T20:57:02.442", "lastUpdated" : "2026-06-15T06:56:35.892", "ingestTimestamp" : "2026-06-14T20:57:02.442", "mongoId" : "6a2da0b774d8ee00a0c5e94d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://pwc.wd3.myworkdayjobs.com/Global_Experienced_Careers/job/Mumbai-Goregaon/IN--Director--Agentic---GenAI--Data---Analytics--Advisory--Mumbai_736299WD-1", "hasSalary" : false, "allSkills" : [ "Agentic AI", "GenAI", "Python", "LLM frameworks", "prompt engineering", "ML development lifecycle", "fine-tuning", "evaluation", "feature engineering", "embedding optimization", "dimensionality reduction", "A/B testing", "experimental design", "statistical hypothesis testing", "RAG systems", "vector databases", "semantic search implementation", "Knowledge graph", "LLM optimization techniques", "quantization", "knowledge distillation", "MLOps practices", "AutoGPT", "LangChain", "ReAct", "DSPy", "Accepting Feedback, Active Listening, Coaching and Feedback, Communication, Creativity", "Agentic AI, GenAI, LLM, Python, Data & Analytics", "Experience in financial services domain will be a plus. Experience in solving use cases in Asset management, Wealth management or investment banking using AI/ML. Experience in industries such as finance, consulting.", "AutoGPT, LangChain, ReAct, DSPy, Hugging Face, Transformers, Alteryx (Automation Platform)" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "executive", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustryConfidence" : 0.95 }, { "id" : "6a305107f292fd229cef8636", "title" : "Senior Consultant - Data & Analytics", "company" : "Highspring", "industry" : "Consulting", "salary" : { "min" : 76194.0, "max" : 122981.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "McLean, VA", "locations" : [ "McLean", "VA" ], "timestamp" : "2026-06-16T08:45:12.907", "fingerprint" : "48c6a72cd2c3f1a1df0dd91bf98ef6f2d6f263ec75503e10784e231524514c6b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.highspring.com/about/careers/job-details?gh_jid=8003443", "externalId" : "8003443", "industryFunction" : { }, "structuredLocations" : [ { "city" : "McLean", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9366852,-77.1858430" } ], "locationText" : "McLean, Virginia, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Snowflake, Databricks, Redshift, Power BI, Tableau, Sigma, Codex, Claude Code, Cursor", "professionalSkills" : [ "Data strategy", "Data engineering", "Analytics", "Transformation", "Data modeling", "Data pipelines", "Reporting", "Visualization", "Decision-making", "Client communication", "Project management", "Technical execution", "Solution design", "Code quality", "System implementations", "Migrations", "Modernization" ], "hardSkillsList" : [ "Data warehousing", "Data analysis", "Pipeline development", "Dashboard creation", "Report generation", "Code generation", "Code testing", "Code iteration" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Pipeline development", "level" : "intermediate" }, { "name" : "Dashboard creation", "level" : "intermediate" }, { "name" : "Report generation", "level" : "intermediate" }, { "name" : "Code generation", "level" : "intermediate" }, { "name" : "Code testing", "level" : "intermediate" }, { "name" : "Code iteration", "level" : "intermediate" } ], "majorSkills" : "Data Warehousing, Data Pipelines, Analytics Solutions, Cloud Platforms", "majorSkillsList" : [ "Data Warehousing", "Data Pipelines", "Analytics Solutions", "Cloud Platforms" ], "coreResponsibilities" : "Design modern data warehouses, Build modern data warehouses, Develop scalable data pipelines, Develop reliable data pipelines, Implement analytics solutions, Implement reporting solutions, Implement visualization solutions, Translate complex data into actionable insights, Partner with client teams, Understand business objectives, Understand data challenges, Understand success metrics, Manage discrete project workstreams, Balance technical execution, Balance client communication, Balance delivery timelines, Present findings, Present recommendations, Present solution designs, Leverage AI-assisted development environments, Design analytics code, Generate analytics code, Test analytics code, Iterate analytics code, Design data engineering code, Generate data engineering code, Test data engineering code, Iterate data engineering code, Support data transformation initiatives, Support system implementations, Support migrations, Support modernization efforts, Participate in knowledge sharing, Participate in mentoring, Participate in career development", "teamCollaboration" : "Client teams; Cross-functional teams", "projectManagementSkills" : [ "Workstream management", "Prioritize tasks", "Delivery timelines" ], "domainKnowledge" : "Data strategy; Data engineering; Analytics; Data transformation; Data warehousing; Data models; Data pipelines; Cloud-native environments; Data architectures; Analytics solutions; Data engineering best practices; Analytics best practices; Version control; Collaborative development; Iterative delivery; Enterprise data transformation", "domainList" : [ "data-strategy", "data-engineering", "analytics", "data-transformation", "data-warehousing", "data-models", "data-pipelines", "cloud-native-environments", "data-architectures", "analytics-solutions", "data-engineering-best-practices", "analytics-best-practices", "version-control", "collaborative-development", "iterative-delivery", "enterprise-data-transformation" ], "domainSpecificKnowledge" : [ "Data strategy", "Data engineering", "Analytics", "Data transformation", "Data warehousing", "Data models", "Data pipelines", "Cloud-native environments", "Data architectures", "Analytics solutions", "Data engineering best practices", "Analytics best practices", "Version control", "Collaborative development", "Iterative delivery", "Enterprise data transformation" ], "toolProficiency" : [ "Snowflake", "Databricks", "Redshift", "Power BI", "Tableau", "Sigma", "Codex", "Claude Code", "Cursor" ], "communicationSkills" : "Client engagement; Stakeholder engagement; Present findings; Present recommendations; Present solution designs", "continuousLearning" : "Continuous learning; Learning new tools; Learning new platforms; Learning analytics techniques", "problemSolvingSkills" : "Problem solvers; Solve complex client challenges", "specialRequirements" : "Flexibility for travel", "outcomesObjectives" : "Deliver real value; Make a true impact; Enable better decision-making", "qualificationsBasic" : "Bachelor's degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related field, 2+ years of relevant experience delivering data, analytics, or data engineering solutions in a consulting or project-based environment, Proficiency in SQL and Python for data transformation, analysis, and pipeline development, Hands-on experience with cloud-based data platforms such as Snowflake, Databricks, Redshift, or similar technologies, Experience building dashboards and reports using BI tools such as Power BI, Tableau, Sigma, or equivalent, Experience working in AI-assisted development environments (e.g., Codex, Claude Code, Cursor) to accelerate and improve code quality, Demonstrated ability to manage workstreams, prioritize tasks, and deliver high-quality, client-facing solutions under tight timelines, Communication skills and comfort engaging with client stakeholders at varying levels of technical depth, Ability to work independently while collaborating effectively within cross-functional teams", "qualificationsPreferred" : "Experience designing data architectures and analytics solutions in cloud-native environments, Familiarity with modern data engineering and analytics best practices, including version control and collaborative development workflows, Exposure to Agile or other iterative delivery methodologies, Experience supporting enterprise data transformation initiatives across finance, operations, or other core business functions, A demonstrated interest in continuously learning new tools, platforms, and analytics techniques", "rawDescription" : "Transform Your Career We deliver unparalleled opportunities for growth and career advancement. Our dynamic, entrepreneurial culture supports your journey every step of the way. Embrace new challenges and deliver real value to some of the world’s most influential Fortune 100 brands, growth companies transforming their industries, and mid-market firms that need help navigating the defining moments of their lifecycle. Work side by side with business leaders to solve complex client challenges and make a true impact. Love what you do as part of a diverse organization committed to collaboration and continuous learning. The Team – Data & Analytics Our Data & Analytics practice is comprised of functional and technical experts across data strategy, data engineering, analytics, and transformation. We help clients maximize the value of their data by designing modern data platforms, building scalable pipelines, and delivering analytics and reporting solutions that enable better decision-making. Our consultants are hands-on problem solvers who partner closely with clients in fast-paced, project-based environments. Your Impact As a Senior Consultant, Data & Analytics, you will: Design and build modern data warehouses and analytics-ready data models Develop scalable, reliable data pipelines using cloud-based data platforms Implement analytics, reporting, and visualization solutions that translate complex data into clear, actionable insights for client stakeholders Partner with client teams to understand business objectives, data challenges, and success metrics through interviews and working sessions Manage discrete project workstreams, balancing technical execution with client communication and delivery timelines Present findings, recommendations, and solution designs to both technical and non-technical audiences Leverage AI-assisted development environments to design, generate, test, and iterate on production-quality analytics and data engineering code Support broader data transformation initiatives, including system implementations, migrations, and modernization efforts Actively participate in internal knowledge sharing, mentoring, and career development activities At a Minimum, You Will Have: Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related field 2+ years of relevant experience delivering data, analytics, or data engineering solutions in a consulting or project-based environment Strong proficiency in SQL and Python for data transformation, analysis, and pipeline development Hands-on experience with cloud-based data platforms such as Snowflake, Databricks, Redshift, or similar technologies Experience building dashboards and reports using BI tools such as Power BI, Tableau, Sigma, or equivalent Experience working in AI-assisted development environments (e.g., Codex, Claude Code, Cursor) to accelerate and improve code quality Demonstrated ability to manage workstreams, prioritize tasks, and deliver high-quality, client-facing solutions under tight timelines Strong communication skills and comfort engaging with client stakeholders at varying levels of technical depth Ability to work independently while collaborating effectively within cross-functional teams Flexibility for travel, as needed Preferably, You Will Have: Experience designing data architectures and analytics solutions in cloud-native environments Familiarity with modern data engineering and analytics best practices, including version control and collaborative development workflows Exposure to Agile or other iterative delivery methodologies Experience supporting enterprise data transformation initiatives across finance, operations, or other core business functions A demonstrated interest in continuously learning new tools, platforms, and analytics techniques Determining compensation for this role (and others) at Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law, Highspring believes that the following salary range reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure to be between the range below. The individual may also be eligible for a variety of bonus and financial incentives based on individual and company performance. Base Compensation Range $76,194—$122,981 USD", "summaryDescription" : "Senior Consultant - Data & Analytics at Highspring. Skills: Data Warehousing, Data Pipelines, Analytics Solutions, Cloud Platforms. Design modern data warehouses. Build modern data warehouses", "postedDate" : "2026-06-15T23:15:28.137", "createdAt" : "2026-06-15T23:15:28.137", "lastUpdated" : "2026-06-16T08:45:12.907", "ingestTimestamp" : "2026-06-15T23:15:28.137", "mongoId" : "6a305107f292fd229cef8636", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 76194, "salaryAnnualMax" : 122981, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data warehousing", "Data analysis", "Pipeline development", "Dashboard creation", "Report generation", "Code generation", "Code testing", "Code iteration", "Data Warehousing", "Data Pipelines", "Analytics Solutions", "Cloud Platforms", "Data strategy", "Data engineering", "Analytics", "Transformation", "Data modeling", "Data pipelines", "Reporting", "Visualization", "Decision-making", "Client communication", "Project management", "Technical execution", "Solution design", "Code quality", "System implementations", "Migrations", "Modernization", "Workstream management", "Prioritize tasks", "Delivery timelines", "Data transformation", "Data models", "Cloud-native environments", "Data architectures", "Analytics solutions", "Data engineering best practices", "Analytics best practices", "Version control", "Collaborative development", "Iterative delivery", "Enterprise data transformation", "Snowflake", "Databricks", "Redshift", "Power BI", "Tableau", "Sigma", "Codex", "Claude Code", "Cursor" ], "skillCount" : 52, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2e90a574d8ee00a0e0552f", "title" : "Senior AI and Analytics AML Product Manager", "company" : "NICE", "salary" : { "min" : 450000.0, "max" : 700000.0, "currency" : "ILS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior AI and Analytics AML Product Manager in Raanana, Israel, adjusted for seniority and industry." }, "location" : "Israel - Raanana", "locations" : [ "Israel - Raanana" ], "timestamp" : "2026-06-16T02:17:57.005", "fingerprint" : "2812633fa9211dc2aeb05e4ca0aadee39a2a7512889bbc831254a013a9cfb6ba", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.eu.greenhouse.io/nice/jobs/4894768101?gh_jid=4894768101", "externalId" : "4894768101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Raanana", "country" : "Israel", "continent" : "as", "source" : "llm", "workMode" : "hybrid", "geo" : "32.1860244,34.8678359" } ], "locationText" : "Raanana, Israel", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "majorSkills" : "Product strategy, Roadmap, User stories", "majorSkillsList" : [ "Product strategy", "Roadmap", "User stories" ], "coreResponsibilities" : "Develop product strategy, Define product roadmap, Write user stories, Collaborate with cross-functional teams", "teamCollaboration" : "Cross-functional teams", "projectManagementSkills" : [ "Roadmap planning" ], "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? We are seeking a highly skilled and experienced Senior AI and Analytics AML Product Manager to join our dynamic team. The successful candidate will play a crucial role in leading the development and execution of our AI and analytics AML products. This individual will work closely with cross-functional teams to define product requirements, drive product development, and ensure successful delivery to market. The Senior AI and Analytics Product Manager will leverage their expertise in machine learning, data analytics, and product management to drive innovation and deliver value to our customers. This is a customer-facing role that requires regular interaction with financial institutions (FIs), gathering feedback, building relationships, and understanding the challenges and pain points. The role involves travel and deep engagement with customers to align our products with real-world needs. Knowledge of AML and financial crime is critical to succeed in this position. How will you make an impact? Product Strategy and Roadmap Development: Lead the development of the AI and analytics AML products and roadmap, aligning with the company's overall vision and objectives. Conduct market research and competitive analysis to identify market trends, customer needs, and opportunities for differentiation. Define product priorities and initiatives based on customer feedback, business goals, and technical feasibility. Product Planning and Execution: Collaborate with cross-functional teams including engineering, data science, design, and marketing to define product requirements and specifications. Drive the product development process from concept to launch, ensuring timely delivery and adherence to quality standards. Manage the product lifecycle, including feature prioritization, release planning, and post-launch performance monitoring. AI and Analytics Expertise: Apply deep knowledge of machine learning techniques to enhance product capabilities and drive innovation. Leverage data analytics and visualization tools to derive insights from large datasets and inform product decisions. Stay abreast of advancements in AI technology, industry trends, and best practices to continually improve product offerings. Customer Engagement and Feedback: Work directly with customers, including banks and financial institutions, to understand their challenges and gather actionable feedback. Present product concepts and solutions to customers, aligning product functionality with their needs. Travel as needed to meet with customers, participate in industry events, and ensure products address real-world AML scenarios. Stakeholder Management: Build strong relationships with internal stakeholders, including executives, sales, professional services, and customer success teams, to ensure alignment and support for product initiatives. Collaborate with industry experts and partners to validate product concepts and strengthen market positioning. Performance Tracking and Optimization: Define key performance indicators (KPIs) and metrics to measure the success of AI and analytics products. Analyze product performance data, customer feedback, and market trends to identify opportunities for optimization and growth. Iterate on product features and functionalities based on insights gained from data analysis and feedback loops. Have you got what it takes? Bachelor’s or advanced degree in computer science, engineering, data science, or related field. 3+ years of previous experience in AML products or financial crime detection solutions. Proven track record of 7+ years in product management, with a focus on SaaS \\ machine learning, or analytics products. Proven experience working directly with customers, understanding their needs, and presenting product solutions to address those needs. Strong knowledge of AML domain, detection techniques, and financial institution challenges. Experience working with cross-functional teams in an agile development environment. Excellent communication skills with the ability to effectively collaborate with technical and non-technical stakeholders. Analytical mindset with proficiency in data analysis and problem-solving. Demonstrated leadership abilities with a passion for driving innovation and delivering impactful products. You will have an advantage if you also have: Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies. What’s in it for you? Join an ever-growing, market-disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 11207 Reporting into: Director, Product Management Role Type: Individual Contributor #LI-Hybrid About NICE Actimize: NiCE Actimize is the largest and broadest provider of financial crime, risk and compliance solutions for regional and global financial institutions, as well as government regulators. Consistently ranked as number one in the space, NICE Actimize experts apply innovative technology to protect institutions and safeguard consumers’ and investors’ assets by identifying financial crime, preventing fraud and providing regulatory compliance. About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.", "summaryDescription" : "Senior AI and Analytics AML Product Manager at NICE. Skills: Product strategy, Roadmap, User stories. Develop product strategy. Define product roadmap", "postedDate" : "2026-06-14T18:28:45.103", "createdAt" : "2026-06-14T18:28:45.103", "lastUpdated" : "2026-06-16T02:17:57.005", "ingestTimestamp" : "2026-06-14T18:28:45.103", "mongoId" : "6a2e90a574d8ee00a0e0552f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Product strategy", "Roadmap", "User stories", "Roadmap planning" ], "skillCount" : 4, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305649f292fd229cf26d25", "title" : "Software Development Engineer, Data Analytics Integration AI and Platform Excellence", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 100000.0, "max" : 213800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-16T07:39:42.737", "fingerprint" : "f189dad85d0178b4fb4f4d5d3a02dc6ff4fe6528021c331d657300ba4d0e4a85", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449222/apply", "externalId" : "7d7d3df1-a764-4b2a-b65b-8a777a30d0ee", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "New York, New York, United States; Arlington, Virginia, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Join Amazon's Data Integration organization and help shape the future of AI-driven data integration! We're seeking a talented Software Engineer to join our AI and Platform Excellence (APEX) team. APEX is at the forefront of leveraging AI/ML to revolutionize data integration workflows, making them simpler, and more efficient. As a member of APEX, you'll build core algorithms that harness the power of AI and machine learning to simplify the authoring, troubleshooting, upgrading, and optimization of data integration workflows. Your work will directly impact Amazon's ability to manage and utilize vast amounts of data across its many products and services. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Key job responsibilities - Design, develop, and implement AI/ML-powered products for data integration workflows which simplifies complexity in data processing. - Build and own critical infrastructure powering Amazon's next-generation AI capabilities - Collaborate with data scientists and ML experts to s to transform innovative ideas into production systems - Optimize existing algorithms and systems for performance, scalability, and reliability - Contribute to the full software development lifecycle, from conception to production deployment - Mentor junior engineers and promote best practices in software development and AI implementation A day in the life - Impact: Your work will directly influence how AI capabilities are developed and deployed at Amazon - Innovation: Work at the intersection of advanced AI research and enterprise-scale engineering - Growth: Learn from experts while working with the latest in AI technology - Purpose: Help shape responsible AI development practices and sustainable computing - Team: Join a collaborative environment focused on solving complex, meaningful challenges This role offers unique exposure to both AI infrastructure and product development, positioning you to make significant contributions to Amazon's AI initiatives while working with some of the industry's brightest minds. About the team AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent 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, NY, New York - 158,100.00 - 213,800.00 USD annually", "summaryDescription" : "Software Development Engineer, Data Analytics Integration AI and Platform Excellence at Amazon Development Center U.S., Inc.", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T22:01:30.857", "lastUpdated" : "2026-06-16T07:39:42.737", "ingestTimestamp" : "2026-06-15T22:01:30.857", "mongoId" : "6a305649f292fd229cf26d25", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449222/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 213800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305649f292fd229cf26d20", "title" : "Software Development Engineer, Data Analytics Integration AI and Platform Excellence", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 100000.0, "max" : 213800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-16T06:13:39.463", "fingerprint" : "50923704d9285932d87355c66f615fb628a3dee944399657d3377b2bbf68aeb2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449227/apply", "externalId" : "74feb277-9aca-4907-914e-e556ee6f95b4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "New York, New York, United States; Arlington, Virginia, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Join Amazon's Data Integration organization and help shape the future of AI-driven data integration! We're seeking a talented Software Engineer to join our AI and Platform Excellence (APEX) team. APEX is at the forefront of leveraging AI/ML to revolutionize data integration workflows, making them simpler, and more efficient. As a member of APEX, you'll build core algorithms that harness the power of AI and machine learning to simplify the authoring, troubleshooting, upgrading, and optimization of data integration workflows. Your work will directly impact Amazon's ability to manage and utilize vast amounts of data across its many products and services. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Key job responsibilities - Design, develop, and implement AI/ML-powered products for data integration workflows which simplifies complexity in data processing. - Build and own critical infrastructure powering Amazon's next-generation AI capabilities - Collaborate with data scientists and ML experts to s to transform innovative ideas into production systems - Optimize existing algorithms and systems for performance, scalability, and reliability - Contribute to the full software development lifecycle, from conception to production deployment - Mentor junior engineers and promote best practices in software development and AI implementation A day in the life - Impact: Your work will directly influence how AI capabilities are developed and deployed at Amazon - Innovation: Work at the intersection of advanced AI research and enterprise-scale engineering - Growth: Learn from experts while working with the latest in AI technology - Purpose: Help shape responsible AI development practices and sustainable computing - Team: Join a collaborative environment focused on solving complex, meaningful challenges This role offers unique exposure to both AI infrastructure and product development, positioning you to make significant contributions to Amazon's AI initiatives while working with some of the industry's brightest minds. About the team AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent 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, NY, New York - 158,100.00 - 213,800.00 USD annually", "summaryDescription" : "Software Development Engineer, Data Analytics Integration AI and Platform Excellence at Amazon Development Center U.S., Inc.", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T22:01:18.805", "lastUpdated" : "2026-06-16T06:13:39.463", "ingestTimestamp" : "2026-06-15T22:01:18.805", "mongoId" : "6a305649f292fd229cf26d20", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449227/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 213800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a191e7758b93c861e39f74d", "title" : "Senior Data & AI Engineer", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data & AI Engineer in Bangalore, India, adjusted for seniority and the technology industry." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore", "Brigade Tech Gardens, Katha No. 119, Kundalahalli Village, K.R. Puram Hobli, Ward No. 85, Bangalore" ], "timestamp" : "2026-06-15T22:31:31.403", "fingerprint" : "56de1627424f531e877b8224fa52803dac62de6f68a879bc426c31eb78c2761d", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=896114", "externalId" : "896114", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "Senior Data & AI Engineer – Data & AI Platform We are looking for a Senior Data & AI Engineer to design, build, and operationalize scalable AI/ML solutions within our Data and AI Platform. This role focuses on enabling enterprise-wide AI adoption by developing robust data pipelines, deploying ML models, and building reusable AI services aligned with platform standards. You will work at the intersection of Data Engineering, Machine Learning, and Platform Architecture , ensuring AI solutions are production-ready, governed, observable, secure, and cost-efficient. Key Responsibilities 1. AI/ML Solution Development Design and implement scalable Machine Learning and Generative AI solutions on Databricks and Azure/AWS Build and optimize feature engineering pipelines and training workflows Develop reusable AI components, APIs, and enterprise AI services 2. Platform & MLOps Enablement Build and maintain end-to-end ML pipelines including training, validation, deployment, and monitoring Implement CI/CD pipelines for ML models and AI applications Integrate AI workloads with tools such as: Databricks MLflow Unity Catalog 3. Data Engineering & Integration Collaborate with Data Engineers to ensure high-quality and governed datasets Work with both structured and unstructured data across batch and streaming pipelines Optimize data pipelines for performance, scalability, and cost efficiency 4. AI Governance & Observability Implement model monitoring, drift detection, and performance tracking Ensure compliance with AI governance, security, and regulatory standards Enable auditability, lineage tracking, and observability for AI models Required Skills & Qualifications Advanced Data Engineering – Databricks Ecosystem Databricks Platform Expertise Strong hands-on experience with the Databricks ecosystem, including: Delta Lake Delta Live Tables Unity Catalog Databricks Workflows Serverless Compute Mosaic AI Model Serving Endpoints Data Pipeline Engineering Build scalable batch and streaming pipelines using: Apache Spark Structured Streaming Apache Kafka Additional expertise required in: Medallion Architecture (Bronze / Silver / Gold) CDC implementation and incremental processing strategies Schema evolution and data contract enforcement Performance Optimization Query tuning and execution plan optimization Partitioning, clustering, and Z-ordering Cost optimization for Databricks workloads Autoscaling and workload sizing strategies Foundation Models & Generative AI Engineering Foundation Model Experience Hands-on experience with enterprise usage of: OpenAI models Anthropic models Meta Llama family Google Gemini Mistral AI models Open-source deployment patterns Model Engineering Fine-tuning and instruction tuning LoRA / QLoRA optimization Quantization strategies Model serving and inference optimization LLMOps Prompt lifecycle management Evaluation pipelines for LLM outputs Hallucination mitigation Guardrails and output validation Retrieval-Augmented Generation (RAG) & Knowledge Systems RAG Architecture Design and implementation of production-grade RAG systems Hybrid retrieval strategies Context window optimization Chunking and embedding strategies Vector Databases Hands-on experience with: FAISS Pinecone Milvus Databricks Vector Search Embedding Systems Embedding model selection and benchmarking Semantic search optimization Knowledge indexing pipelines AI Agent & Multi-Agent Systems Agentic AI Development Design of autonomous and semi-autonomous AI agents Tool-calling orchestration Workflow-based reasoning systems Memory management strategies Multi-Agent Systems (MAS) Agent coordination patterns Task decomposition frameworks Agent collaboration protocols Conflict resolution strategies Experience with: LangChain LangGraph AutoGen AI Communication Protocols & Integration Standards Model Context Protocol (MCP) Building and deploying MCP-compliant servers Tool exposure and orchestration Secure model-tool interaction design Agent-to-Agent (A2A) Protocols Understanding inter-agent communication patterns Event-driven agent coordination Distributed AI workflow orchestration API & Service Mesh Integration REST / gRPC service integration Event-driven AI services Enterprise service bus integration Modern AI Platform Engineering Serving Infrastructure Real-time inference serving Batch inference pipelines Autoscaling inference endpoints Containerization & Orchestration Docker Kubernetes Helm deployment patterns Emerging AI Platform Standards Experience with MCP server development Exposure to A2A communication protocols AI agent orchestration platforms Enterprise-grade tool-use governance Databricks AI Platform Experience with: Mosaic AI Agent Framework Databricks Vector Search AI Gateway Lakehouse Monitoring Nice-to-Have Use Case Exposure AI copilots for data engineering workflows Autonomous data quality remediation Metadata-aware AI systems Semantic data discovery Agentic ETL orchestration Natural language-to-SQL systems Enterprise knowledge assistants LLM-powered observability platforms Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "Senior Data & AI Engineer", "createdAt" : "2026-06-14T21:53:18.038", "lastUpdated" : "2026-06-15T22:31:31.403", "ingestTimestamp" : "2026-06-14T21:53:18.038", "mongoId" : "6a191e7758b93c861e39f74d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a210ea774d8ee00a0af8b16", "title" : "Senior Data Engineer, Product Analytics, Payments", "industry" : "FinTech", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Engineer in Singapore, adjusted for the FinTech industry and seniority level." }, "location" : "[Singapore, [Singapore], null, null, null, SG]", "locations" : [ "[Singapore, [Singapore], null, null, null, SG]" ], "timestamp" : "2026-06-16T11:46:42.590", "fingerprint" : "11baa91f5b7e2d72cb2b0df48f204f36aaf5d64eeded7fa46372dbff53cc48f6", "source" : "google", "language" : "en", "externalId" : "79009685755044550", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, Spark, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, AWS, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data engineering", "Product analytics", "Data modelling" ], "hardSkillsList" : [ "Data warehousing", "ETL development", "Data pipelines", "Machine learning", "Statistical analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL development", "level" : "intermediate" }, { "name" : "Data 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"qualificationsPreferred" : "GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : false, "summaryDescription" : "Senior Data Engineer, Product Analytics, Payments. Skills: Data engineering, Product analytics, Machine learning. Design data pipelines. Build data models", "postedDate" : "2026-06-16T01:50:32.203", "createdAt" : "2026-06-16T01:50:32.203", "lastUpdated" : "2026-06-16T11:46:42.590", "ingestTimestamp" : "2026-06-16T01:50:32.203", "mongoId" : "6a210ea774d8ee00a0af8b16", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data warehousing", "ETL development", "Data pipelines", "Machine learning", "Statistical analysis", "A/B testing", "Causal inference", "Data engineering", "Product analytics", "Data modelling", "Payments domain", "Dbt Cloud" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cfbd074d8ee00a0aa5832", "title" : "Senior AI Data Engineer", "company" : "Cortica", "industry" : "Healthcare", "salary" : { "min" : 160000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Diego, California, United States", "locations" : [ "San Diego", "California", "United States" ], "timestamp" : "2026-06-15T03:49:15.982", "fingerprint" : "aaf833178c330e91a252a5d23937438fe7ef47a98d3b07bb2fed6f50e4bd4d81", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/allcareers/jobs/8590528002", "externalId" : "8590528002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7174202,-117.1627720" } ], "locationText" : "San Diego, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, AWS, Azure, AI", "professionalSkills" : [ "System design", "Data modeling", "Stakeholder requirements", "Production deployment", "Data security", "Compliance" ], "hardSkillsList" : [ "Data pipeline development", "AI development", "Big data services", "Orchestration frameworks", "Application development" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "AI development", "level" : "intermediate" }, { "name" : "Big data services", "level" : "intermediate" }, { "name" : "Orchestration frameworks", "level" : "intermediate" }, { "name" : "Application development", "level" : "intermediate" } ], "majorSkills" : "Data engineering, AI development, Data pipelines, Cloud services", "majorSkillsList" : [ "Data engineering", "AI development", "Data pipelines", "Cloud services" ], "coreResponsibilities" : "Own projects end-to-end, Design data pipelines, Build data pipelines, Develop data models, Evolve data models, Use AI-assisted development, Build internal tools, Build dashboards, Ensure data security, Ensure compliance, Collaborate across teams, Document decisions", "teamCollaboration" : "Data science teams; Finance teams; Clinical operations teams", "domainKnowledge" : "Neurodevelopmental differences; Healthcare data", "domainList" : [ "neurodevelopmental-differences", "healthcare-data" ], "domainSpecificKnowledge" : [ "Neurodevelopmental differences", "Healthcare data" ], "toolProficiency" : [ "AWS", "Azure" ], "continuousLearning" : "Tuition reimbursement; Continuing education", "outcomesObjectives" : "Power care decisions; Power financial planning; Power operational efficiency", "qualificationsBasic" : "5+ years experience data pipelines, 2+ years AI development workflows, Advanced Python, Advanced SQL, 4+ years AWS/Azure big data, 2+ years orchestration frameworks, Application development literacy", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Cortica is looking for a Senior AI Data Engineer to join its growing team! Cortica is a rapidly growing healthcare company pioneering the most effective treatment methods for children with neurodevelopmental differences. Our mission is to design and deliver life-changing care – one child, one family, one community at a time. Ultimately, we envision a world that cultivates the full potential of every child. At Cortica, every team member is instrumental in helping us achieve our mission! Our culture and values guide how we work and treat one another. Cortica celebrates diversity and fosters an inclusive environment, seeking ideas and opinions from everyone on the team. We safeguard equal rights and respect for all individuals, regardless of race, color, religion, sex, national origin, age, disability, creed, genetic information, sexual orientation, gender identity or expression, ancestry, veteran status or other applicable, legally protected characteristics. All Cortica employment decisions are made based on an individual’s qualifications and ability to successfully perform the job responsibilities. What will you do? The Senior AI Data Engineer will serve as both architect and builder of our data ecosystem. You’ll work closely with the data science, finance, and clinical operations teams to design intelligent, automated data solutions that power care decisions, financial planning, and operational efficiency. Own projects end-to-end: From stakeholder requirements through production deployment Design and build data pipelines that are reliable, scalable, and maintainable Develop and evolve data models that support clinical, financial, and operational reporting Use AI-assisted development as a core part of your daily workflow Build lightweight internal tools and dashboards where pipelines alone aren't enough Ensure data security and compliance across all work Collaborate across teams and document decisions so others can build on your work We’d love to hear from you if: You have 5+ years of experience designing and building production data pipelines. You bring 2+ years of experience working with AI-first development workflows. You're fluent in Python and SQL at an advanced level You bring 4+ years of experience with the following AWS and/or Azure big data services You have 2+ years of experience with orchestration frameworks You possess application development literacy to lightweight web tooling to complement data products. Your Compensation & Benefits Cortica cares deeply about the well-being of each member of our team, and we have created a passionate, caring, and growth-minded culture that helps teammates thrive! As a Cortica teammate, we’ll support your well-being through medical, dental, and vision insurance, a 401(k) plan with company matching and rapid vesting, paid holidays and wellness days, life insurance, disability insurance options, tuition reimbursements for professional development and continuing education, and referral bonuses. We value you and the experience you bring to your role, and are proud to provide you with a compensation and benefits package designed to enhance all aspectsof your life. The base pay range for this opening is $160,000 to $200,000. According to your skill level, relevant experience, education level, and location, you will receive compensation that fits appropriately within the range. EOE. This posting is not meant to be an exhaustive list of the role and its duties. #LI-NF1 #LI-Onsite", "summaryDescription" : "Senior AI Data Engineer at Cortica. Skills: Data engineering, AI development, Data pipelines, Cloud services. Own projects end-to-end. Design data pipelines", "postedDate" : "2026-06-13T22:16:15.058", "createdAt" : "2026-06-13T22:16:15.058", "lastUpdated" : "2026-06-15T03:49:15.982", "ingestTimestamp" : "2026-06-13T22:16:15.058", "mongoId" : "6a2cfbd074d8ee00a0aa5832", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "AI development", "Big data services", "Orchestration frameworks", "Application development", "Data engineering", "Data pipelines", "Cloud services", "System design", "Data modeling", "Stakeholder requirements", "Production deployment", "Data security", "Compliance", "Neurodevelopmental differences", "Healthcare data", "AWS", "Azure" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3079d6f292fd229c0357e2", "title" : "Senior Associate, Transaction Advisory Services", "company" : "Aprio", "industry" : "Finance Advisory", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Transaction Advisory Services in Atlanta, adjusted for a Senior Associate role at a mid-sized firm in the Financial Services industry." }, "location" : "Atlanta, GA", "locations" : [ "Atlanta, GA" ], "certifications" : [ "CFA", "CPA", "MBA" ], "timestamp" : "2026-06-16T10:48:12.401", "fingerprint" : "e610cca78e15a7fb625adeadc424c8ac386f86d9f7875dd33862d542c85116be", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/Aprio/7e18fdff-9213-4ef4-9824-7abfdb1b89a9/apply", "externalId" : "7e18fdff-9213-4ef4-9824-7abfdb1b89a9", "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", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 3, "experienceLevel" : "Senior", "technicalSkills" : "Excel, PowerPoint, Word", "professionalSkills" : [ "Financial modeling", "Valuation", "Transaction advisory" ], "hardSkillsList" : [ "Financial analysis", "Accounting principles" ], "hardSkills" : [ { "name" : "Financial analysis", "level" : "intermediate" }, { "name" : "Accounting principles", "level" : "intermediate" } ], "majorSkills" : "Transaction advisory, Financial modeling, Valuation", "majorSkillsList" : [ "Transaction advisory", "Financial modeling", "Valuation" ], "coreResponsibilities" : "Assist with financial due diligence, Perform valuation analyses, Prepare client deliverables, Support deal execution, Conduct market research, Analyze financial statements, Develop financial models, Communicate findings to clients", "teamCollaboration" : "Cross-functional teams; Client engagement teams", "domainKnowledge" : "Mergers and acquisitions; Financial reporting; Accounting standards", "domainList" : [ "mergers-and-acquisitions", "financial-reporting", "accounting-standards" ], "domainSpecificKnowledge" : [ "Mergers and acquisitions", "Financial reporting", "Accounting standards" ], "toolProficiency" : [ "Bloomberg Terminal", "Capital IQ" ], "communicationSkills" : "Client presentations; Written reports", "documentationSkills" : "Financial reports", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "2-3 years experience", "qualificationsPreferred" : "CFA charterholder preferred, CPA license preferred, MBA preferred, Master's degree preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description Work with a Top 20 CPA and advisory firm that Accounts for Anything. Aprio has 40 U.S. office locations, as well as international office locations and more than 3,200 team members that speak 60+ languages across the globe. By bringing together proven expertise, deep understanding, and strategic foresight for fast-growing industries, Aprio ensures clients are prepared for wherever life or business may take them. Discover a top-rated culture, vast growth opportunities and your next big career move with Aprio. Join Aprio's (Insert Team) team and you will help clients maximize their opportunities. Aprio Advisory Group, LLC is a progressive, fast-growing firm looking for a (Title) to join their dynamic team. ## Responsibilities Compiling and analyzing historical financial data/financial statements provided by the buyer and/or seller. Commenting on client sellers and client targets’ financial operating results and financial position by highlighting significant business profitability trends and overly aggressive accounting policies. Understanding customer and vendor trends and other key transaction risk considerations. Proactively participating in meetings with Aprio client service team and management of client. Analyzing the cash flow impact of capital expenditures and working capital trends and changes. Creating and designing tailored transaction advisory reports addressing significant transaction consideration matters and issues. Continuously fostering relationships with coworkers (through all services lines and industry groups of Aprio) and clients (both strategics and private equity). Participating in a work environment that values and promotes camaraderie, collaboration and giving back to the community. Traveling approximately up to 15% of the time while upholding Aprio’s values and reputation. ## Qualifications Bachelor’s degree in accounting or finance Licensed CPA is a plus Understanding and applying Excel, PowerPoint and Word skills Demonstrating poise working with private equity and corporate executives Positive attitude, strong work ethic and excellent interpersonal and relationship building skills Working effectively and personably with a diverse group Strong written and verbal communication and presentation skills 2 – 3-year experience in Audit, Finance or Transaction Advisory Services Displaying adequate knowledge of US GAAP ## Additional Information Why work for Aprio: Whether you are just starting out, looking to advance into management or searching for your next leadership role, Aprio offers an opportunity to grow with a future-focused, innovative firm. Perks/Benefits we offer for full-time team members: - Medical, Dental, and Vision Insurance on the first day of employment - Flexible Spending Account and Dependent Care Account - 401k with Profit Sharing - 9+ holidays and discretionary time off structure - Parental Leave – coverage for both primary and secondary caregivers - Tuition Assistance Program and CPA support program with cash incentive upon completion - Discretionary incentive compensation based on firm, group and individual performance - Incentive compensation related to origination of new client sales - Top rated wellness program - Flexible working environment including remote and hybrid options What’s in it for you: - Working with an industry leader: Be part of a high-growth firm that is passionate for what’s next. - An awesome culture: Thirty-one fundamental behaviors guide our culture every day ensuring we always deliver an exceptional team-member and client experience. We call it the Aprio Way. This shared mindset creates lasting relationships between team members and with clients. - A great team: Work with a high-energy, passionate, caring and ambitious team of professionals in a collaborative culture. - Entrepreneurship: Have the freedom to innovate and bring your ideas to help us grow to become the CPA firm of choice nationally. - Growth opportunities: Grow professionally in an environment that fosters continuous learning and advancement. - Competitive compensation: You will be rewarded with competitive compensation, industry-leading benefits and a flexible work environment to enjoy work/life balance. EQUAL OPPORTUNITY EMPLOYER Aprio is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race; color; religion; national origin; sex; pregnancy; sexual orientation; gender identity and/or expression; age; disability; genetic information, citizenship status; military service obligations or any other category protected by applicable federal, state, or local law. Aprio, LLP and Aprio Advisory Group, LLC, operate in an alternative business structure, with Aprio Advisory Group, LLC providing non-attest tax and consulting services, and Aprio, LLP providing CPA firm services.", "summaryDescription" : "Senior Associate, Transaction Advisory Services at Aprio. Skills: Transaction advisory, Financial modeling, Valuation. Assist with financial due diligence. 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"locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, Redshift, S3, AWS Glue, Amazon Athena, Amazon QuickSight, AWS Lambda, EMR, Kinesis, FireHose, IAM, SAP", "professionalSkills" : [ "Data engineering", "Analytics architecture", "Data platform design", "Data ingestion", "Data transformation", "Data storage", "Semantic modeling", "Reporting", "Analytics patterns", "Data pipelines", "Data processing", "Reporting architectures", "Data quality", "Data governance", "Data security", "Operational controls", "Business requirements", "Architecture standards", "Data flow diagrams", "Support procedures", "Performance issues", "Data quality concerns", "Corrective actions", "Implementation initiatives", "Migration initiatives", "Modernization initiatives", "Enhancement initiatives", "Platform integration" ], "hardSkillsList" : [ "Data engineering", "Database 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Design batch data processing, Optimize batch data processing, Design near real-time processing, Optimize near real-time processing, Design reporting architectures, Optimize reporting architectures, Ensure data quality, Ensure data governance, Ensure data security, Ensure operational controls, Work with business teams, Work with finance teams, Work with IT teams, Work with application teams, Design reliable data solutions, Design scalable data solutions, Develop architecture standards, Maintain architecture standards, Develop design documents, Maintain design documents, Develop data flow diagrams, Maintain data flow diagrams, Develop support procedures, Maintain support procedures, Monitor data pipelines, Monitor analytics platforms, Monitor reporting solutions, Drive corrective actions", "teamCollaboration" : "Business teams; Finance teams; IT teams; Application teams", "domainKnowledge" : "FinTech; SAP data; Finance reporting; Supply chain reporting; Enterprise operational reporting", "domainList" : [ "fintech", "sap-data", "finance-reporting", "supply-chain-reporting", "enterprise-operational-reporting" ], "domainSpecificKnowledge" : [ "FinTech", "SAP data", "Finance reporting", "Supply chain reporting", "Enterprise operational reporting" ], "documentationSkills" : "Design documents; Data flow diagrams", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "6+ years data engineering experience, 8+ years analytics experience, Experience designing scalable data pipelines, Experience designing cloud-based analytics solutions, Excellent analytical skills, Excellent problem-solving skills, Excellent stakeholder management skills, Ability to work independently, Ability to work as part of a team", "qualificationsPreferred" : "Knowledge of SAP data platforms, Experience with real-time data processing, Experience with event-driven data processing, Experience with data lake architecture, Experience with data warehouse architecture, Experience with hybrid 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The ideal candidate will be responsible for leading the design, implementation, and support of scalable data and analytics solutions on AWS, enabling trusted reporting, enterprise insights, and seamless integration across enterprise platforms. The primary focus of this role is AWS-based data engineering, analytics architecture, and modern data platform design, with SAP knowledge considered a strong advantage. Key job responsibilities * Lead the design, implementation, and support of enterprise data and analytics solutions on AWS. * Architect scalable data platforms using AWS services such as Amazon Redshift, Amazon S3, AWS Glue, Amazon Athena, Amazon QuickSuite, AWS Lambda, and related AWS data services. * Define and implement data ingestion, transformation, storage, semantic modeling, reporting, and analytics patterns across structured and semi-structured data sources. * Design and optimize enterprise data pipelines, batch and near real-time data processing, and reporting architectures. * Ensure data quality, governance, security, and operational controls are built into the platform architecture. * Work closely with business, finance, IT, and application teams to design reliable and scalable data solutions aligned with business requirements. * Develop and maintain architecture standards, design documents, data flow diagrams, and support procedures. * Monitor data pipelines, analytics platforms, and reporting solutions for failures, performance issues, and data quality concerns, and drive corrective actions. * Lead implementation, migration, modernization, and enhancement initiatives across data and analytics platforms. * Support integration with enterprise platforms, including SAP and non-SAP systems where required. Basic Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - 6+ years of data engineering, database engineering, business intelligence or business analytics experience - 8+ years of relevant experience in data engineering, analytics, data warehousing, or enterprise data platform implementation and support. - Experience designing scalable data pipelines and cloud-based analytics solutions across complex enterprise environments. - Excellent analytical, problem-solving, and stakeholder management skills, with the ability to work independently and as part of a team. Preferred Qualifications: - Knowledge of SAP data and analytics platforms such as SAP S/4HANA, BW, Datasphere, or SAC is good to have. - Experience with real-time or event-driven data processing patterns. - Experience with data lake, data warehouse, and hybrid analytics architecture patterns. - Experience with enterprise reporting, KPI frameworks, and dashboard design. - Knowledge of finance, supply chain, or enterprise operational reporting domains. - Experience leading data modernization or cloud transformation initiatives. 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" : "Data and Analytics Architect at ADCI HYD. Skills: Data architecture, AWS data services, Data platform design. Lead design of data solutions. 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Centri provides companies with the expertise they need to meet their reporting demands. Centri specializes in financial reporting, internal controls, technical accounting research, valuation, mergers at least 1 in public accounting or professional services highly preferred. This position is an exempt position as it relates to the fair labor standards Act. Centri provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. #LI-Hybrid", "summaryDescription" : "Senior Associate - Accounting Advisory at Centri Business Consulting. Provide advisory consulting services. 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Collaborate with software engineers; Collaborate with systems engineers; Collaborate with calibration engineers; Work in cross-functional teams", "domainKnowledge" : "ADAS functions; ACC; AEB; LDW/LKA; BSD; CTA; Park Assist; TJA; Highway Assist; Automotive diagnostics; MDF log format; ROS bags format; ARXML format; Vehicle dynamics; Sensor fusion; ISO 26262; SOTIF; Automotive safety standards; AI/ML automotive applications; ADAS test vehicles; Simulation tools; Proving grounds", "domainList" : [ "adas-functions", "acc", "aeb", "ldw-lka", "bsd", "cta", "park-assist", "tja", "highway-assist", "automotive-diagnostics", "mdf-log-format", "ros-bags-format", "arxml-format", "vehicle-dynamics", "sensor-fusion", "iso-26262", "sotif", "automotive-safety-standards", "ai-ml-automotive-applications", "adas-test-vehicles", "simulation-tools", "proving-grounds" ], "domainSpecificKnowledge" : [ "ADAS functions", "ACC", "AEB", "LDW/LKA", "BSD", "CTA", "Park Assist", "TJA", "Highway Assist", "Automotive diagnostics", "MDF log format", "ROS bags format", "ARXML format", "Vehicle dynamics", "Sensor fusion", "ISO 26262", "SOTIF", "Automotive safety standards", "AI/ML automotive applications", "ADAS test vehicles", "Simulation tools", "Proving grounds" ], "toolProficiency" : [ "Jupyter", "Power BI", "Tableau", "Vector CANape", "Vector CANalyzer", "DSPACE", "OxTS", "Mobileye logs" ], "communicationSkills" : "Technical reports", "documentationSkills" : "Document findings; Document insights; Document recommendations", "problemSolvingSkills" : "Problem-solving; Root-cause analysis", "outcomesObjectives" : "Improve ADAS performance", "qualificationsBasic" : "Bachelor's/Master's degree, Python experience, NumPy experience, Pandas experience, Matplotlib/Plotly experience, Jupyter experience, SQL experience, Cloud data platforms experience, ADAS functions understanding, CAN familiarity, LIN familiarity, Automotive diagnostics familiarity, Log formats familiarity, Vehicle dynamics exposure, Sensor fusion concepts exposure, ML pipeline basics exposure, Power BI/Tableau experience, Analytical skills, Problem-solving skills, Communication skills", "qualificationsPreferred" : "Sensor data tools experience, ISO 26262 understanding, SOTIF understanding, Automotive safety standards understanding, AI/ML automotive applications familiarity, ADAS test vehicles experience, Simulation tools experience, Proving grounds experience", "remoteFriendly" : false, "rawDescription" : "About MBRDI: Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility. Role Overview We are seeking a skilled Data Analyst with strong automotive analytics expertise to support our ADAS development, validation, and continuous improvement initiatives. The role involves analyzing large-scale vehicle datasets, driver behaviour insights, sensor performance logs, and algorithm outputs to deliver actionable insights for engineering, calibration, and safety teams. Key Responsibilities Analyze ADAS sensor data (camera, radar, lidar, ultrasonic), vehicle dynamics, and ECU log data to identify patterns, anomalies, and performance trends. Work with engineering teams to understand ADAS algorithm behaviour, KPI definitions, and performance metrics. Support model validation by generating statistical reports, performance summaries, and scenario-based evaluations. Build dashboards, data visualizations, and automated reporting pipelines for engineering and program teams. Clean, preprocess, and transform large datasets using Python, SQL, or cloud-based tools. Perform root-cause analysis of ADAS feature performance issues—false detections, missed detections, driver intervention events, etc. Collaborate with software, systems, and calibration engineers to refine feature KPIs and data requirements. Support scenario extraction, annotation reviews, and dataset quality checks. Work on continuous improvement of ADAS performance across markets, driving conditions, and environmental factors. Document findings, insights, and recommendations in clear technical reports. Required Skills & Qualifications Bachelor’s/Master’s degree in Engineering, Computer Science, Automotive Engineering, Data Science, or equivalent. Strong experience in Python, NumPy, Pandas, Matplotlib/Plotly, Jupyter. Hands-on experience with SQL and cloud data platforms (AWS/GCP/Azure preferred). Good understanding of ADAS functions such as: ACC, AEB, LDW/LKA, BSD, CTA, Park Assist, TJA, Highway Assist, etc. Familiarity with CAN, LIN, automotive diagnostics, log formats (MDF, ROS bags, ARXML). Exposure to vehicle dynamics, sensor fusion concepts, machine learning pipeline basics. Experience with visualization tools such as Power BI / Tableau. Strong analytical, problem-solving, and communication skills. Preferred / Nice-to-Have Skills Experience with sensor data tools (Vector CANape/CANalyzer, dSPACE, OxTS, Mobileye logs, etc.). Understanding of ISO 26262, SOTIF, and automotive safety standards. Familiarity with AI/ML applications in automotive. Experience working with ADAS test vehicles, simulation tools, or proving grounds. Soft Skills Strong ownership mindset and ability to work in cross-functional teams. Detail-oriented with a passion for data-driven engineering. Ability to break down complex engineering problems into simple insights. Qualifications - Bachelor’s/Master’s degree in Engineering, Computer Science, Automotive Engineering, Data Science, or equivalent. Why Join Us? Be part of a purpose-driven organization that’s shaping the future of mobility. Work on cutting-edge technologies and global projects. Thrive in a collaborative, diverse, and inclusive environment. Access world-class infrastructure and learning opportunities. Equal Opportunity Statement: At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "Data Analytics Engineer at Mercedes-Benz Research and Development India. Skills: ADAS data analysis, Vehicle data analysis, Data visualization, Data pipelines. Analyze ADAS sensor data. Analyze vehicle dynamics data", "createdAt" : "2026-06-14T01:53:16.158", "lastUpdated" : "2026-06-15T10:36:08.708", "ingestTimestamp" : "2026-06-14T01:53:16.158", "mongoId" : "69ce5e3b9bc74574cb677aa6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical reporting", "Data cleaning", "Data preprocessing", "Data transformation", "Scenario extraction", "Dataset quality checks", "Ownership mindset", "ADAS data analysis", "Vehicle data analysis", "Data visualization", "Data pipelines", "Data analysis", "Root cause analysis", "Model validation", "Performance analysis", "ADAS functions", "ACC", "AEB", "LDW/LKA", "BSD", "CTA", "Park Assist", "TJA", "Highway Assist", "Automotive diagnostics", "MDF log format", "ROS bags format", "ARXML format", "Vehicle dynamics", "Sensor fusion", "ISO 26262", "SOTIF", "Automotive safety standards", "AI/ML automotive applications", "ADAS test vehicles", "Simulation tools", 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"9ffdff72-e8ed-4fc2-9465-15e9ca3f6c99", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Data analysis", "Problem solving", "Decision making", "Analytical insights" ], "hardSkillsList" : [ "Data structuring", "Data interpretation" ], "softSkillsList" : [ "Direct communication" ], "hardSkills" : [ { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Direct communication" } ], "majorSkills" : "BizOps, Analytics, Data insights", "majorSkillsList" : [ "BizOps", "Analytics", "Data insights" ], "coreResponsibilities" : "Define business questions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Explain what is happening, Explain why it is happening, Recommend next steps", "teamCollaboration" : "Embedded in business units; Counterparts in product; Counterparts in growth; Counterparts in finance; Counterparts in operations", "domainKnowledge" : "Car insurance; Home insurance; Motorcycle insurance; RV insurance", "domainList" : [ "car-insurance", "home-insurance", "motorcycle-insurance", "rv-insurance" ], "domainSpecificKnowledge" : [ "Car insurance", "Home insurance", "Motorcycle insurance", "RV insurance" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Clear writing; Precise speaking; Persuasive communication", "problemSolvingSkills" : "First principles thinking; Break ambiguous problems; Formulate hypotheses", "outcomesObjectives" : "Move key metrics; Go from 5M to 50M customers; Become a $10B business", "qualificationsBasic" : "2+ years consulting experience, 2+ years investment bank experience, 2+ years high-growth tech experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Track record of owning problems, Track record of delivering impact, Clear communicator, Persuasive communicator, Influence leadership decisions", "remoteFriendly" : false, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 2+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Associate, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Data insights. Define business questions. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 2+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Associate, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Problem solving. Define business questions. Define metrics", "createdAt" : "2026-06-16T00:30:02.999", "lastUpdated" : "2026-06-16T12:56:16.630", "ingestTimestamp" : "2026-06-16T00:30:02.999", "mongoId" : "6a305098f292fd229cef28e5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data interpretation", "Data structuring", "Data pulling", "BizOps", "Analytics", "Problem solving", "First principles thinking", "Data analysis", "Car insurance", "Driving insights", "Repair marketplace", "Home insurance", "Motorcycle insurance", "RV insurance", "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 19, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305930f292fd229cf45a28", "title" : "Senior Associate, BizOps & Analytics", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 130000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York, New York", "locations" : [ "New York, New York", "San Francisco Bay Area", "Boston, Massachusetts", "Atlanta, Georgia", "Denver, Colorado", "Austin, Texas", "Miami, Florida" ], "timestamp" : "2026-06-16T12:04:26.325", "fingerprint" : "bd08f69916a4e3eea1bdda67e845ecd73f888e848edd3ce563440a606cfa1a76", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/9ffdff72-e8ed-4fc2-9465-15e9ca3f6c99/application", "externalId" : "9ffdff72-e8ed-4fc2-9465-15e9ca3f6c99", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Analytical problem solving" ], "hardSkillsList" : [ "Data analysis", "Metrics definition", "Report building", "Experiment design" ], "softSkillsList" : [ "Direct communicator" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Metrics definition", "level" : "intermediate" }, { "name" : "Report building", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Direct communicator" } ], "majorSkills" : "BizOps, Analytics, Data insights, Decision making", "majorSkillsList" : [ "BizOps", "Analytics", "Data insights", "Decision making" ], "coreResponsibilities" : "Define business questions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations, Drive decisions, Inform business strategy", "teamCollaboration" : "Embedded in business units; Counterparts in product; Counterparts in growth; Counterparts in finance; Counterparts in operations", "domainKnowledge" : "Car insurance; Home insurance; Motorcycle insurance; RV insurance", "domainList" : [ "car-insurance", "home-insurance", "motorcycle-insurance", "rv-insurance" ], "domainSpecificKnowledge" : [ "Car insurance", "Home insurance", "Motorcycle insurance", "RV insurance" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Clear writing; Precise speaking", "problemSolvingSkills" : "Break ambiguous problems; Formulate hypotheses", "outcomesObjectives" : "Move key metrics; Grow to 50M customers; Become $10B business", "qualificationsBasic" : "2+ years consulting experience, 2+ years investment bank experience, 2+ years high-growth tech experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Track record of owning problems, Track record of delivering impact, Clear communicator, Persuasive communicator, Influence leadership decisions", "remoteFriendly" : false, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 2+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Associate, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Data insights, Decision making. Define business questions. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 2+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 2+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Associate, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Problem solving, Data insights. Define business questions. Define metrics", "createdAt" : "2026-06-16T00:29:08.325", "lastUpdated" : "2026-06-16T11:20:53.221", "ingestTimestamp" : "2026-06-16T00:29:08.325", "mongoId" : "6a305930f292fd229cf45a26", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Metrics definition", "Report building", "Experiment design", "Direct communication", "BizOps", "Analytics", "Problem solving", "Data insights", "First principles thinking", "Decision making", "Execution", "Car insurance", "Physical assets management", "SQL", "Clickhouse", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305a1cf292fd229cf4d5d3", "title" : "Data & AI Engineer", "company" : "Oxylabs", "industry" : "Oxylabs Core", "salary" : { "min" : 3400.0, "max" : 5600.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vilnius", "locations" : [ "Vilnius" ], "timestamp" : "2026-06-16T14:49:05.711", "fingerprint" : "49cbbdf7aefba67b30cbde682079478d9b825e55daafcb0fde378fb56d55b43b", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/oxylabs/f8d45b19-11ad-4d9a-9f2b-ec2c549b0fbe/apply", "externalId" : "f8d45b19-11ad-4d9a-9f2b-ec2c549b0fbe", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vilnius", "country" : "Lithuania", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "54.6870458,25.2829111" } ], "locationText" : "Vilnius, Lithuania", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, LLMs, Google Cloud Platform, AWS, Git, Terraform, Docker, SQL, Dbt, PowerBI, Superset, Airflow, Kubernetes, Argo CD, Anthropic Claude, Google Gemini, OpenAI GPT, LangChain, Claude Agent SDK, Google ADK, N8n.io, Llama, Qwen", "professionalSkills" : [ "AI coding assistants", "AI application development", "DataOps practices" ], "hardSkillsList" : [ "Prompt engineering", "Model optimization", "Benchmarking", "Monitoring systems" ], "hardSkills" : [ { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "Model optimization", "level" : "intermediate" }, { "name" : "Benchmarking", "level" : "intermediate" }, { "name" : "Monitoring systems", "level" : "intermediate" } ], "majorSkills" : "AI Engineering, LLM Development, DataOps", "majorSkillsList" : [ "AI Engineering", "LLM Development", "DataOps" ], "coreResponsibilities" : "Build AI applications using Python, Conduct research with new LLM technologies, Share findings with team, Collaborate with cross-functional teams, Identify AI-driven opportunities, Integrate solutions into business processes, Fine-tune prompt strategies, Optimize prompt strategies, Define AI evaluation metrics, Define benchmarking frameworks, Implement monitoring systems, Track LLM performance, Track LLM costs, Promote AI adoption, Promote AI understanding", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Web data gathering; AI coding assistants; Agentic development patterns; LLM technologies", "domainList" : [ "web-data-gathering", "ai-coding-assistants", "agentic-development-patterns", "llm-technologies" ], "domainSpecificKnowledge" : [ "Web data gathering", "AI coding assistants", "Agentic development patterns", "LLM technologies" ], "toolProficiency" : [ "Git", "Terraform", "Docker", "LangChain", "Claude Agent SDK", "Google ADK", "N8n.io" ], "communicationSkills" : "Written communication; Spoken communication", "continuousLearning" : "External conferences; Mentorship; Knowledge-sharing", "innovationCreativity" : "Cutting-edge solutions; AI-powered tools", "problemSolvingSkills" : "Analytical thinking", "qualificationsBasic" : "Proficiency in at least one programming language, Hands-on experience with agentic development patterns, Experience with LLMs APIs, Knowledge of best DataOps practices, Excellent communication in Lithuanian and English", "qualificationsPreferred" : "Familiarity with agent frameworks, Proficiency in deploying open-source AI models, Background in Machine Learning beyond LLMs", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Description We're a team of 700+ professionals who develop cutting-edge web data gathering solutions for thousands of the world's best-known businesses, including Fortune 500 companies. The team waiting for you: As our Data & AI Engineer, you'll be diving into the technical challenges of building internal AI-powered systems to help us make better-informed business decisions at Oxylabs.io. This is an excellent opportunity for an analytical thinker who enjoys hands-on technical work, has a passion for AI technologies, is eager to learn more, and wants to make a meaningful impact. You'll be developing and deploying AI-powered tools leveraging the latest AI models (including Anthropic's Claude, Google's Gemini, OpenAI's GPT) that our internal teams will use daily. ## In this role, you’ll Build AI applications using Python, LLMs & RAG; Conduct research with new LLM technologies and frameworks (with a focus on AI coding assistants) to keep our AI capabilities at the cutting edge and share your findings with others; Collaborate with cross-functional teams to identify AI-driven opportunities and integrate various solutions into their operations; Fine-tune and optimize prompt strategies to enhance accuracy, reliability, and efficiency of LLM outputs; Define AI evaluation metrics and benchmarking frameworks and implement monitoring systems to track LLM performance and costs Promote the adoption and understanding of AI within Oxylabs. ## Your skills & experience Proficiency in at least one programming language, ideally Python; Hands-on experience with agentic development patterns and best practices (tool use, planning loops, evaluation); Experience with LLMs (e.g., Anthropic/OpenAI/Gemini APIs) and AI application development; Experience with cloud infrastructure (ideally Google Cloud or AWS); Knowledge of best DataOps practices and tools including version control systems (e.g., Git), Terraform, Docker, and CI/CD; You're excellent at communicating in both written and spoken Lithuanian and English. ## Nice to have Familiarity with agent frameworks (e.g., LangChain, Claude Agent SDK, Google ADK) or workflow automation tools (e.g., n8n.io); Proficiency in deploying and optimizing open-source AI models (e.g., Llama, Qwen); Background in Machine Learning beyond LLMs (e.g., computer vision, traditional ML). ## Tech stack Google Cloud Platform (Pub/Sub, GCS, BQ) for ingestion, storage and warehousing; dbt and SQL for data modelling; PowerBI and Superset for data visualisation. Python for automation; Airflow for orchestration; Kubernetes/Argo CD for deployment; ## Salary & Benefits Gross salary: 3400-5600 EUR/month. Keep in mind that we are open to discuss a different salary based on your skills and competencies. Growth & Learning: 40+ internal learning options, external conferences, mentorship, and year-round knowledge-sharing. Health & Well-being: Private health insurance, psychotherapy, on-site well-being consultants, 24/7 gym access, and a wellness app. Celebration & Community: Team events, an overseas workation, quarterly team-building budgets, and plenty of ways to mark milestones together. Plus bonus vacation days, paid life-moment days off, barista coffee, and all the tools you need. See the full list of benefits here: https://career.oxylabs.io/blog/our-work-benefits/. Up for the challenge? Let’s talk!", "summaryDescription" : "Data & AI Engineer at Oxylabs. Skills: AI Engineering, LLM Development, DataOps. Build AI applications using Python. Conduct research with new LLM technologies", "postedDate" : "2026-06-15T13:26:25.591", "createdAt" : "2026-06-15T13:26:25.591", "lastUpdated" : "2026-06-16T14:49:05.711", "ingestTimestamp" : "2026-06-16T03:23:13.695", "mongoId" : "6a305a1cf292fd229cf4d5d3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Prompt engineering", "Model optimization", "Benchmarking", "Monitoring systems", "AI Engineering", "LLM Development", "DataOps", "AI coding assistants", "AI application development", "DataOps practices", "Web data gathering", "Agentic development patterns", "LLM technologies", "Git", "Terraform", "Docker", "LangChain", "Claude Agent SDK", "Google ADK", "N8n.io" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305098f292fd229cef28ea", "title" : "Senior Associate, BizOps & Analytics", "company" : "Jerry. ai", "industry" : "Data", "salary" : { "min" : 130000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Los Angeles, California", "locations" : [ "Los Angeles, California", "Chicago, Illinois", "Raleigh, North Carolina", "Nashville, Tennessee", "Phoenix, Arizona", "Salt Lake City, Utah", "Dallas, Texas" ], "timestamp" : "2026-06-16T10:30:25.847", "fingerprint" : "e38bd468c6af58a5c339e519e6ff698039e6fae6c8895a08017aa014f292cfdd", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/6b1c105a-90e3-4025-bcd3-c798f285cf97/application", "externalId" : "6b1c105a-90e3-4025-bcd3-c798f285cf97", "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", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Data analysis", "Problem solving", "Decision making", "Execution" ], "hardSkillsList" : [ "Data analysis", "Data interpretation", "Metrics definition", "Report building", "Experiment design" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Metrics definition", "level" : "intermediate" }, { "name" : "Report building", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" } ], "majorSkills" : "BizOps, Analytics, Data insights, Problem solving", "majorSkillsList" : [ "BizOps", "Analytics", "Data insights", "Problem solving" ], "coreResponsibilities" : "Define the right problems, Understand business question, Inform decision making, Push back if question is flawed, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Move team's key metrics, Bring recommendations to counterparts, Tell them what's happening, Tell them why, Tell them what next steps should be, Own analytical function end-to-end", "teamCollaboration" : "Embedded in business units; Counterparts in product, growth, finance, operations", "domainKnowledge" : "Car ownership; Home ownership; Insurance; Repair marketplace; Physical assets management", "domainList" : [ "car-ownership", "home-ownership", "insurance", "repair-marketplace", "physical-assets-management" ], "domainSpecificKnowledge" : [ "Car ownership", "Home ownership", "Insurance", "Repair marketplace", "Physical assets management" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Clear writing; Precise speaking; Persuasive communication", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems into clear hypotheses", "qualificationsBasic" : "2+ years of experience at a consulting firm, investment bank, or high-growth technology company, Analytical ability to pull, structure, and interpret data independently, Track record of owning ambiguous problems and delivering impact, Clear, persuasive communicator who can influence decisions at the leadership level", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 2+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Associate, BizOps & Analytics at Jerry. ai. Skills: BizOps, Analytics, Data insights, Problem solving. Define the right problems. Understand business question", "createdAt" : "2026-06-16T00:27:44.020", "lastUpdated" : "2026-06-16T10:30:25.847", "ingestTimestamp" : "2026-06-16T00:27:44.020", "mongoId" : "6a305098f292fd229cef28ea", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data interpretation", "Metrics definition", "Report building", "Experiment design", "BizOps", "Analytics", "Data insights", "Problem solving", "First principles thinking", "Decision making", "Execution", "Car ownership", "Home ownership", "Insurance", "Repair marketplace", "Physical assets management", "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306b59f292fd229cfd01e4", "title" : "Manager Assurance Data & Analytics AI Tooling", "company" : "KPMG Nederland", "industry" : "Accounting", "salary" : { "min" : 5085.0, "max" : 5500.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Amstelveen, NH, Netherlands", "locations" : [ "Amstelveen", "NH", "Netherlands" ], "certifications" : [ "RA", "ACA", "CA", "CPA" ], "timestamp" : "2026-06-16T11:34:17.053", "fingerprint" : "b1019f3aea93ab5959265f209d128a26cf1b48435ff6fefb7f51d5ed69a7625e", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/KPMGNederland/744000132126431-manager-assurance-data-analytics-ai-tooling", "externalId" : "744000132126431", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amstelveen", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.2862177,4.8526493" } ], "locationText" : "Amstelveen, North Holland, Netherlands", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Data analytics, AI-driven tools", "professionalSkills" : [ "Risk assessment", "Audit methodology", "Business cases" ], "hardSkillsList" : [ "Transaction testing", "Data-driven risk assessments" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Transaction testing", "level" : "intermediate" }, { "name" : "Data-driven risk assessments", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "AI Tooling, Data Analytics, Audit", "majorSkillsList" : [ "AI Tooling", "Data Analytics", "Audit" ], "coreResponsibilities" : "Lead AI-driven audit analytics solutions, Shape how audit teams use data, Shape how audit teams use technology, Perform risk assessments at scale, Generate audit evidence at scale, Drive adoption of AI Transaction Scoring, Drive adoption of Clara AI, Act as product owner, Prioritize enhancements aligned with audit methodology, Support audit teams with technical guidance, Apply AI-driven risk assessment, Apply AI-driven outputs, Lead a team delivering insights, Lead a team delivering business cases, Coordinate global alignment, Coordinate SAT testing, Coordinate tool releases, Deploy AI tools effectively, Adopt AI tools effectively, Continuously improve AI tools, Support audit teams in applying advanced analytics, Perform full-population transaction testing, Perform data-driven risk assessments, Translate complex analytics outputs, Deliver business cases and insights, Develop team capabilities, Collaborate with KPMG Global, Collaborate with other member firms, Align on releases, Align on governance standards, Align on best practices, Oversee system acceptance testing, Coordinate issue resolution, Drive successful tool adoption, Provide training, Provide enablement initiatives", "teamCollaboration" : "Local teams; Global counterparts; Audit engagement teams; KPMG Global; Other member firms", "projectManagementSkills" : [ "SAT testing" ], "domainKnowledge" : "Audit methodology; Risk assessment", "domainList" : [ "audit-methodology", "risk-assessment" ], "domainSpecificKnowledge" : [ "Audit methodology", "Risk assessment" ], "toolProficiency" : [ "AI Transaction Scoring", "Clara AI" ], "communicationSkills" : "Delivering presentations", "continuousLearning" : "Personal development courses; Professional development courses", "qualificationsBasic" : "Qualified accountant (RA, ACA, CA, CPA), Audit background, Experience in risk assessment, Proven experience with data analytics, Proven experience with AI-driven tools, Experience in audit or assurance context, Stakeholder management skills, Excellent communication skills, Excellent leadership skills", "qualificationsPreferred" : "Command of Dutch", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "As Manager Assurance Data & Analytics AI Tooling in Amstelveen, you lead AI-driven audit analytics solutions, shaping how audit teams use data and technology to perform risk assessments and generate audit evidence at scale. Your challenges * Drive the adoption and effective use of AI Transaction Scoring and Clara AI within audit engagements. * Act as product owner, defining and prioritising enhancements aligned with audit methodology. * Support audit teams with technical guidance on AI-driven risk assessment and outputs. * Lead a team delivering high-quality insights and business cases from analytics tools. * Coordinate global alignment, SAT testing, and successful tool releases. As Manager Assurance Data & Analytics AI Tooling, you operate at the intersection of audit and technology within KPMG’s Digital Assurance & Innovation team. You act as the product owner and central coordinator for AI Transaction Scoring (AITS) and Clara AI, ensuring these tools are effectively deployed, adopted, and continuously improved across the audit practice. You work closely with audit engagement teams, supporting them in applying advanced analytics to perform full-population transaction testing and data-driven risk assessments. You are the primary point of contact for technical queries and play a key role in translating complex analytics outputs into actionable insights. In this role, you also lead a team responsible for delivering business cases and insights, ensuring high-quality outcomes and developing team capabilities. You collaborate with KPMG Global and other member firms, aligning on releases, governance standards, and best practices. Additionally, you oversee system acceptance testing (SAT), coordinate issue resolution, and help drive successful tool adoption through training and enablement initiatives. You will be part of a dynamic, innovation-driven environment within Digital Assurance & Innovation, where audit and technology come together to shape the future of the profession. About the team At KPMG’s Digital Assurance & Innovation (Daní), audit and technology converge in a dynamic, scale-up-like environment. The team develops innovative solutions that prepare the audit function for the future, combining business insight with cutting-edge technology to deliver value in new ways. ## Qualifications * Qualified accountant (e.g. RA, ACA, CA, CPA) with a strong audit background and experience in risk assessment. * Proven experience with data analytics or AI-driven tools within an audit or assurance context. * Strong stakeholder management skills, able to work with both local teams and global counterparts. * Excellent communication and leadership skills, comfortable leading teams and delivering presentations. * In addition to English, a strong command of Dutch would be advantageous in order to effectively collaborate with local audit teams and stakeholders across the internal teams. ## Additional Information * Gross salary between €5,085 and €5,500 per month depending on your work experience, variable performance based reward, a fixed expense allowance and a fixed working from home allowance per working day. * 30 vacation days (on a full-time basis) and the option to buy more days or sell your vacation days. * At KPMG we work hybrid, so you can work from home, from the client or at the office. * A completely furnished home office. * A lease car or a mobility budget. * A laptop and iPhones. * Choice to pick from different courses which contribute to your own personal and professional development. * Diversity networks in the areas of pride, gender, ability, cultural diversity, and generations that regularly organize various activities to celebrate differences! * Focus on well-being! There is a gym at the Amstelveen office or you can get a discount for a gym near your house and you get access to different health and/or vitality programs. * ‘Together’ is one of our core values. So you can count on different social activities, like team events, drinks with colleagues and events with all your KPMG colleagues", "summaryDescription" : "Manager Assurance Data & Analytics AI Tooling at KPMG Nederland. Skills: AI Tooling, Data Analytics, Audit. Lead AI-driven audit analytics solutions. Shape how audit teams use data", "postedDate" : "2026-06-15T07:22:59.000", "createdAt" : "2026-06-16T00:19:37.347", "lastUpdated" : "2026-06-16T11:34:17.053", "ingestTimestamp" : "2026-06-16T00:19:37.347", "mongoId" : "6a306b59f292fd229cfd01e4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Transaction testing", "Data-driven risk assessments", "Leadership", "AI Tooling", "Data Analytics", "Audit", "Risk assessment", "Audit methodology", "Business cases", "SAT testing", "RA", "ACA", "CA", "CPA", "AI Transaction Scoring", "Clara AI" ], "skillCount" : 16, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "69fc49a74c40e2acd1a83412", "title" : "Senior Counsel, Privacy and Advisory", "company" : "Hyundai Capital America", "industry" : "Banking", "salary" : { "min" : 185000.0, "max" : 275000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Counsel, Privacy and Advisory in Irvine, United States, adjusted for seniority and the financial services industry." }, "location" : "United States-California-Irvine", "locations" : [ "United States-California-Irvine", "
Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "certifications" : [ "CIPP certification" ], "timestamp" : "2026-06-16T04:34:30.595", "fingerprint" : "1c545b2ff0c1e48bc47070ceedc0474c6fced0e1176e157958da978fec0bbf38", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=114963", "externalId" : "114963", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Legal analysis", "Risk management", "Compliance oversight" ], "majorSkills" : "Privacy law, Data protection, Legal advisory", "majorSkillsList" : [ "Privacy law", "Data protection", "Legal advisory" ], "coreResponsibilities" : "Advise on privacy laws, Develop privacy policies, Conduct privacy risk assessments, Ensure compliance with regulations, Support data protection initiatives, Manage legal aspects of data processing, Advise on legal and regulatory requirements, Provide legal guidance on advisory matters", "teamCollaboration" : "Cross-functional teams; Business stakeholders", "domainKnowledge" : "Privacy laws; Data protection regulations; Consumer protection laws; Financial regulations", "domainList" : [ "privacy-laws", "data-protection-regulations", "consumer-protection-laws", "financial-regulations" ], "domainSpecificKnowledge" : [ "Privacy laws", "Data protection regulations", "Consumer protection laws", "Financial regulations" ], "communicationSkills" : "Legal advice; Policy development", "documentationSkills" : "Privacy policies; Legal documentation", "problemSolvingSkills" : "Legal analysis; Risk assessment", "qualificationsBasic" : "Juris Doctor degree, Admission to a state bar, 5+ years of legal experience, Experience in privacy law, Experience with data protection regulations", "qualificationsPreferred" : "Experience in the automotive or financial services industry, CIPP certification", "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 3 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: · Medical, dental, and vision plans with no-cost and low-cost options · Annual employer HSA contribution · 401(k) matching and immediate vesting · Vehicle purchase and lease discounts, plus monthly vehicle allowances by job level: o Associate / Sr. Associate: $350 o Manager / Sr. Manager: $600 o Director: $800 o Executive Director: $900 o VP or Above: $1,000 · 100% employer-paid life and disability insurance · No-cost health and wellbeing programs, including a gym benefit · Six weeks of paid parental leave · Paid Volunteer Time Off, plus a company donation to a charity of your choice What to Expect The Senior Counsel, Privacy and Advisory will provide strategic, practical, and actionable legal guidance across the Company’s business lines—including the core consumer finance business, vehicle voluntary protection products business, and emerging mobility business—and oversees legal compliance for marketing activities, including advertising practices, digital marketing, consumer and dealer communications, and compliance with applicable marketing laws and industry standards. This role advises on federal and state privacy, information security, and advertising/consumer protection laws and requirements applicable to the Company’s operations. The role also designs, implements, maintains, and continuously improves the Company’s enterprise privacy framework, including privacy-related policies, procedures, standards, and governance processes. In addition, the Senior Counsel leads and manages other attorneys and privacy and records management governance professionals. As a key advisor to senior stakeholders, this role provides counsel on privacy risk, regulatory developments, and privacy by design principles, and supports product, technology, and business initiatives through effective privacy governance. Employees in this role should expect to work on site Monday through Thursday and remotely on Fridays. . What You Will Do 1. Act as the Company’s primary privacy SME, providing legal and strategic guidance to business, technology, product, and operations teams to ensure compliance with applicable privacy, data protection, information security and consumer protection/advertising laws. Oversee legal review of all external communications to consumers, customers and dealers. 2. Own, implement, and maintain the Company’s enterprise privacy framework, including privacy policies, standards, procedures, governance models, and internal guidance. Lead updates to the privacy framework in response to regulatory developments, enforcement trends, and evolving business practices. Oversee privacy related documentation, recordkeeping, and reporting. 3. Act as primary liaison with Company’s affiliates in various data sharing, privacy, and marketing-related initiatives. Support new and existing third-party contract negotiations to identify and address privacy, data protection, information security and records management requirements. 4. Lead, mentor, and develop team members by providing direction, performance feedback, and support to ensure effective collaboration, professional growth, and achievement of organizational and personal goals. What You Will Bring · Minimum 8 years of relevant legal experience in providing legal and strategic guidance on product and process development, with a focus on privacy, information security and advertising/consumer protection. · Minimum 3 years supervisory experience. · In-house legal experience preferred. · Consumer financial services or automobile finance experience. · Juris Doctor Degree; member in good standing of a state bar (CA preferred). · CIPP certification a plus. · Broad-based experience and knowledge in privacy and information security laws and experience in providing practical and actional guidance in product development and process changes. · Willingness to undertake substantial and diverse job responsibilities. · Ability to work independently and as part of legal and business teams. · Ability to effectively manage team members to ensure performance and alignment with Company objectives. · Ability to quickly pivot to changing business priorities. · Willingness to explore and identify creative alternative solutions to facilitate business initiatives. · Broad-based knowledge of privacy laws and regulations, both financial services-related and general consumer protection. · Broad-based knowledge of consumer financial services. · Attention to detail and follow through. · Ability to communicate in clear and concise manner; ability to communicate complex legal issues in laymen’s terms to all levels of the organization. · Ability to research in a thorough and effective manner and to analyze and distill complex legal requirements into a usable and practical framework. · Ability to multi-task under tight deadlines and manage competing priorities in a fast-paced environment. · Proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook). · Ability to successfully manage, train, develop and mentor direct reports. · Strong written and verbal communication skills. · Strong interpersonal skills to work in a team environment and build relationships with internal and external stakeholders. Work Environment Employees in this class are subject to extended periods of sitting, standing, and walking, vision to monitor and moderate noise levels. Work is performed in an at home and 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 . United States-California-Irvine", "summaryDescription" : "Senior Counsel, Privacy and Advisory at Hyundai Capital America. Skills: Privacy law, Data protection, Legal advisory. Advise on privacy laws. Develop privacy policies", "createdAt" : "2026-06-14T20:42:39.784", "lastUpdated" : "2026-06-16T04:34:30.595", "ingestTimestamp" : "2026-06-14T20:42:39.784", "mongoId" : "69fc49a74c40e2acd1a83412", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 185000, "salaryAnnualMax" : 275000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Privacy law", "Data protection", "Legal advisory", "Legal analysis", "Risk management", "Compliance oversight", "Privacy laws", "Data protection regulations", "Consumer protection laws", "Financial regulations", "CIPP certification" ], "skillCount" : 11, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c9fcf74d8ee00a09a0994", "title" : "Senior Full Stack Engineer - Data & Analytics", "company" : "Prompt", "industry" : "Engineering", "salary" : { "min" : 170000.0, "max" : 190000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T00:50:37.049", "fingerprint" : "999bde80d85fe7431baa422308595ef0ec22524909eb96c63b2d4806248408c6", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Prompt/1ed8373f-f0e1-4c90-a168-98f91bc41f8f/application", "externalId" : "1ed8373f-f0e1-4c90-a168-98f91bc41f8f", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Job Title: Senior Full Stack Engineer - Data & Analytics Prompt is a mission-driven startup looking for an experienced Senior Full Stack Software Engineer to help push forward an ambitious set of data and analytics initiatives in healthcare, with a particular emphasis on making data actionable to drive decision making. Prompt delivers highly automated and modern B2B enterprise software to rehab therapy businesses, their teams, and most importantly the patients they serve. We've established ourselves as the go-to platform in the space and are rapidly growing our market share by delivering software people love. As we scale, data is becoming increasingly central to how we make decisions and drive improvement. We're looking for a Senior Full Stack Engineer who is a true generalist — comfortable moving between application code, data pipelines, and the user-facing surfaces that make data useful — and who uses modern AI tooling to move faster and build better. This role will contribute to internal and external facing data and analytics products — helping drive extraordinary outcomes for our clients and their patients while internally driving efficiency and decision-making across Product, Client Success, Growth, and Operations. This is a high-ownership role focused on iteratively building systems end-to-end, partnering closely with stakeholders, and ensuring our data and analytics products deliver real value. Why work for Prompt? - Big Challenges: Here at Prompt, we are solving complex and unique problems that have plagued the healthcare industry since the dawn of time. - Talented People: Prompt didn't happen by chance, it's a team of incredibly talented and proven individuals who all made their mark before joining forces to build the greatest software on the planet for rehab therapists. - Healthy Approach: This isn't an investment bank. At Prompt you own your workload and the entire organization takes a liking to smart work (over hard work). - Positive Impact: Prompt helps outpatient rehab organizations treat more patients and deliver better care with less environmental waste. That means less surgery and less narcotic-based pain treatment, all while turning a paper-heavy industry digital. Responsibilities - Drive Prompt's mission to improve healthcare through high-quality, actionable data and analytics that inform client and internal decision-making - Build full-stack data and analytics features end-to-end — from building the data models, analyzing the data, to the user-facing interfaces that surface insights - Build AI and LLM-powered workflows that accelerate data transformation, analysis, and app development — while maintaining high standards for reliability and maintainability - Own the design, development, and iteration of complex data systems, including the building data transformations, and well-modeled datasets - Develop and ship analytics products and dashboards used by clients and internal teams - Perform exploratory analysis and hypothesis-driven investigations to surface insights and guide product and operational decisions - Influence data engineering team strategy and product architecture for data and analytics surfaces - Partner with stakeholders across the company to understand client and internal workflows, define success criteria, and deliver products that drive improvement Qualifications - 4+ years of software development experience with a focus on full-stack web development and data modeling/analysis - Strong proficiency in Python and SQL for data transformation, analysis, and analytic pipeline development - Experience building backend servers and modern frontend interfaces (React, Vue, or equivalent) for data-rich applications - Demonstrated fluency with modern AI and LLM-powered development tools (code agents, automation frameworks) and a track record of using them to ship higher-quality work faster - Proven ability to work with complex, messy, and evolving data sources and turn them into reliable, well-modeled datasets - Experience designing, building, and operating end-to-end data workflows — from raw data ingestion through transformation, modeling, and downstream analysis - Strong judgment around data quality, correctness, observability, and maintainability in production data systems - Strong communication skills and the ability to comfortably articulate your thoughts and decisions - Desire to contribute to the growth of the product, team, and direction of Prompt Therapy Solutions Inc. - Strong problem-solving mindset and ability to operate effectively in ambiguous, fast-paced environments - Interest in a hands-on, high code-contribution role; this is not an engineering management position, though growth opportunities exist over time Nice-to-Haves - Experience with complex healthcare datasets — including patient care, operations, and billing data - Hands-on experience with analytics engineering tools such as dbt for data transformations and Metabase for building analytics dashboards (or other equivalent tools) - Experience working in AWS (e.g., S3, Athena, RDS, Redshift, DMS, Glue, ECS, Lambda, or similar services) - Experience working with relational databases and warehouses (e.g., PostgreSQL, Athena, Redshift, Snowflake, BigQuery) - Experience building internal or client-facing analytics products used by multiple teams or customers Perks - What you can expect: - Competitive salaries - Remote/hybrid environment - Potential equity compensation for outstanding performance - Flexible PTO - Company-wide sponsored lunches - Company paid disability and life insurance benefits - Company paid family and medical leave - Medical, dental, and vision insurance benefits - Discounted pet insurance - FSA/DCA and commuter benefits - 401k - Complimentary subscription to digital fitness classes and wellness content - Recovery suite at HQ – includes a cold plunge, sauna, and shower Here at Prompt, we are committed to fostering a fair and respectful work environment. As part of this commitment, it is our policy not to hire individuals from Prompt Customers unless they have obtained their current employer's explicit consent. We believe in upholding strong professional relationships and respecting the agreements and commitments our customers have with their employees. We appreciate your understanding and cooperation regarding this policy. Please don't hesitate to inquire with our team. Prompt Therapy Solutions, Inc is an equal opportunity employer, indiscriminate of race, color, religion, ethnicity, ancestry, national origin, sex, gender, gender identity, sexual orientation, age, marital status, veteran status, disability, medical condition, or any other protected characteristic. We celebrate diversity and are committed to creating an inclusive environment for all employees.", "summaryDescription" : "Senior Full Stack Engineer - Data & Analytics at Prompt", "createdAt" : "2026-06-14T20:14:27.626", "lastUpdated" : "2026-06-16T00:50:37.049", "ingestTimestamp" : "2026-06-14T20:14:27.626", "mongoId" : "6a2c9fcf74d8ee00a09a0994", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170000, "salaryAnnualMax" : 190000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca5c674d8ee00a09b809f", "title" : "GTM Engineer - Data & Analytics", "company" : "OH. io", "industry" : "SaaS", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level GTM Engineer - Data & Analytics in Columbus, United States, adjusted for the SaaS industry and company size." }, "location" : "Columbus, OH ", "locations" : [ "Columbus", "OH" ], "timestamp" : "2026-06-16T07:17:06.759", "fingerprint" : "9f5b8613c83fab8627a3ec50bab567b9140220345f7542f26c5674db1da207b7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ohio/jobs/4064706009", "externalId" : "4064706009", "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", "technicalSkills" : "React, Rails, Python, SQL, LLMs, AI APIs, HubSpot, Clay, Instantly, Gong, N8n, Zapier, APIs", "professionalSkills" : [ "Data infrastructure", "AI workflows", "Data pipelines", "Lead scoring", "Pipeline forecasts", "Conversion analyses", "API integration", "Data enrichment", "Dashboards", "Reporting" ], "hardSkillsList" : [ "Data modeling", "Automation", "API development" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" } ], "majorSkills" : "Data Engineering, AI Automation, GTM Systems", "majorSkillsList" : [ "Data Engineering", "AI Automation", "GTM Systems" ], "coreResponsibilities" : "Create GTM data infrastructure, Maintain GTM data infrastructure, Build agentic AI workflows, Deploy agentic AI workflows, Surface insights using AI, Trigger actions using AI, Architect data pipelines, Connect GTM tools, Keep data accurate, Keep systems in sync, Develop lead scoring models, Develop pipeline forecasts, Develop conversion analyses, Integrate third-party APIs, Integrate MCP servers, Automate enrichment workflows, Build dashboards, Build reporting, Track KPIs, Track pipeline health, Track GTM performance, Partner with RevOps, Partner with SDRs, Partner with AEs, Partner with marketing specialists, Ship solutions, Support portfolio companies, Provide hands-on data work, Provide hands-on technical work", "teamCollaboration" : "GTM Pods; RevOps; SDRs; AEs; Marketing specialists", "domainKnowledge" : "B2B GTM systems; LLMs; AI tooling", "domainList" : [ "b2b-gtm-systems", "llms", "ai-tooling" ], "domainSpecificKnowledge" : [ "B2B GTM systems", "LLMs", "AI tooling" ], "toolProficiency" : [ "N8n", "HubSpot", "Clay", "Instantly", "Gong", "Zapier" ], "problemSolvingSkills" : "Problem-solving instincts", "outcomesObjectives" : "Turn sales data into actionable intelligence; Drive revenue for OH. io; Drive revenue for portfolio companies; Give sales teams sharper view", "qualificationsBasic" : "Coding is your default skillset, Experience in React, Rails, Python or SQL, Ability to show a portfolio of work", "qualificationsPreferred" : "Familiarity with LLMs and AI tooling, Working knowledge of B2B GTM systems, Experience with workflow automation is a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About OH.io OH.io is transforming Columbus into America’s startup technology capital — the global hub where capital, talent, and opportunity converge. Backed by Ratmir Timashev and powered by an AI-driven Go-To-Market Accelerator, we ignite B2B SaaS founders with GTM acceleration to build global companies from Columbus. With capital ready to deploy, a deep bench of talent, and the gravitational pull of Fortune 500 anchors, OH.io is making Columbus not just competitive—but indispensable. Through our GTM Acceleration Pods, we deliver specialized teams that drive growth and support every portfolio resident. As part of this mission, we are building a local GTM Hub office in Columbus to serve as the center of activity and collaboration. GTM Engineer – Data & Analytics The GTM Engineer (Data & Analytics) is a technical operator embedded within OH.io's GTM Pods, reporting to the Director of Demand Generation. This role builds data-driven GTM systems from scratch — writing code, automating pipelines, and turning sales data into clean infrastructure and actionable intelligence that drives revenue for OH.io and its portfolio companies. Columbus, OH required. Key Responsibilities Create and maintain GTM data infrastructure — owning the data layer across portfolio CRM's Build and deploy agentic AI workflows using LLMs and automation tools (n8n, APIs) to surface insights and trigger actions across the sales cycle Architect lightweight data pipelines that connect HubSpot, Clay, Instantly, and other GTM tools — keeping data accurate and systems in sync Develop lead scoring models, pipeline forecasts, and conversion analyses that give sales teams a sharper view of where to focus Integrate third-party APIs and MCP servers to expand data coverage and automate enrichment workflows Build dashboards and reporting that track KPIs, pipeline health, and GTM performance in a way non-technical teammates can act on Partner with RevOps, SDRs, AEs, and marketing specialists inside Pods to ship solutions that solve real, day-to-day GTM problems Support portfolio companies with hands-on data and technical work during onboarding and scaling Qualifications Coding is your default skillset. Experience in React, Rails, Python or SQL. Ability to show a portfolio of work: scripts, automations, models, dashboards — something built, not just described Familiarity with LLMs and AI tooling — comfortable building prompts, agents, or wiring up AI APIs Working knowledge of B2B GTM systems (HubSpot, Clay, Instantly, Gong) or a demonstrated ability to pick up new tools fast Experience with workflow automation (n8n, Zapier, or custom API integrations) is a plus Strong problem-solving instincts — you'd rather build a fix than wait for one Comfortable working in a fast-moving, startup environment where the scope of the role will grow with you", "summaryDescription" : "GTM Engineer - Data & Analytics at OH. io. Skills: Data Engineering, AI Automation, GTM Systems. Create GTM data infrastructure. 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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" : "6a210e2074d8ee00a0af5d5b", "title" : "Data and AI Consultant", "industry" : "Consulting", "location" : "[Johannesburg, South Africa, [222, 216 Rahima Moosa St, Johannesburg, 2001, South Africa], Johannesburg, 2001, GP, ZA]", "locations" : [ "[Johannesburg, South Africa, [222, 216 Rahima Moosa St, Johannesburg, 2001, South Africa], Johannesburg, 2001, GP, ZA]" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T11:09:43.961", "fingerprint" : "ce5f54c24f1d83855c92bcc25d7de6eb92fe29ce03d92b75ad978f7e88ee4e1a", "source" : "google", "language" : "en", "externalId" : "122332690157314758", "industryFunction" : { }, "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 science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkillsList" : [ "Statistical analysis", "Machine learning", "Data modelling", "ETL processes", "Data warehousing", "Cloud computing", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, AI, Machine Learning, Data Engineering", "majorSkillsList" : [ "Data Science", "AI", "Machine Learning", "Data Engineering" ], "coreResponsibilities" : "Develop and implement data science solutions, Build and maintain data pipelines, Design and deploy machine learning models, Create and manage business intelligence dashboards, Analyze complex datasets, Provide insights and recommendations, Collaborate with stakeholders, Stay updated on industry trends", "teamCollaboration" : "Cross-functional teams; Client stakeholders", "domainKnowledge" : "Cloud-native architecture; Distributed systems", "domainList" : [ "cloud-native-architecture", "distributed-systems" ], "domainSpecificKnowledge" : [ "Cloud-native architecture", "Distributed systems" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Client presentations; Technical documentation", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years of experience in data science, Proficiency in SQL, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "summaryDescription" : "Data and AI Consultant. Skills: Data Science, AI, Machine Learning, Data Engineering. Develop and implement data science solutions. 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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. 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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 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. 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Technical delivery units; Advisory consultants; Technology teams", "projectManagementSkills" : [ "Scoping", "Design" ], "domainKnowledge" : "Private market data; Alternative investment; Financial services; Private equity; Private debt; Credit; Infrastructure; Alternative investments; Private markets", "domainList" : [ "private-market-data", "alternative-investment", "financial-services", "private-equity", "private-debt", "credit", "infrastructure", "alternative-investments", "private-markets" ], "domainSpecificKnowledge" : [ "Private market data", "Alternative investment", "Financial services", "Private equity", "Private debt", "Credit", "Infrastructure", "Alternative investments", "Private markets" ], "toolProficiency" : [ "System connectors", "APIs" ], "communicationSkills" : "Client advisory; Simplifying technical concepts; Technical sales", "innovationCreativity" : "Innovations", "problemSolvingSkills" : "Resolve challenges; Address challenges", "outcomesObjectives" : "Drives impactful business decisions", "qualificationsBasic" : "Proven experience in data modelling, Proven experience in data architecture, Proven experience in data management, Knowledge of private market data, Knowledge of alternative investment applications, Hands-on experience with system integration planning, Hands-on experience managing connector/APIs inventories, Familiarity with data warehousing, Familiarity with BI tools, Familiarity with data lineage methodologies, Exceptional communication skills, Skilled in scoping complex data migrations, Skilled in designing complex data migrations, Skilled in scoping complex data integrations, Skilled in designing complex data integrations, Sales-minded approach, Experience supporting technical sales processes, Collaborative, Proactive, Adept at navigating between business and technical teams", "qualificationsPreferred" : "Background in consulting, Background in financial services, Background in technology supporting alternatives/private markets, Experience with BPM/EPM solutions, Knowledge of cloud data architectures, Knowledge of modern data stack technologies", "rawDescription" : "About Alpha Group Alpha Group is a leading global consultancy to the financial services industry. Founded in 2003, Alpha has spent over 20 years bringing together specialist, sector-focused strategy, management consulting, and technology expertise to support the entire client transformation lifecycle. Having partnered with more than 1,200 clients worldwide across the asset and wealth management, alternatives, and insurance industries, Alpha is a trusted advisor for complex change programs. We now have over 1,180 consultants working with clients across North America, the UK, Europe, the Middle East, and APAC. In 2024, in recognition of our successful track record and strong growth prospects, Alpha was acquired by Bridgepoint, one of the world's leading quoted private asset growth investors. Our people are at the heart of everything we do. Many of our team have built long and fulfilling careers with us, often staying for over a decade. Alpha offers a genuinely rewarding place to work: a meritocratic environment where your career can flourish, and a welcoming culture where you can be yourself, connect with others, and thrive. As we look to the future, we’re excited to be looking for new Alpha colleagues—individuals who are collaborative, innovative, and ambitious. We hope you will join us and help shape the next chapter of our growth journey. About Alpha Alternatives Alpha Alternatives, a part of Alpha Group, is a fast-growing global consulting firm, focused on leading digital and operational transformation projects for the alternative investment industry (consisting of private equity, real estate, private debt, credit, and infrastructure). We are known for our expertise, innovation, and commitment to delivering exceptional value to our clients. Our people work side by side with our clients to help them identify, address, and resolve the key operational and technology challenges within alternative investments and financial services firms. We often find that some of the best innovations come from within, and our role is to help empower client teams to drive the change that is required. Collaborating and supporting our clients are the key attributes we look for in our consultants as well as professionals who have experienced the challenges and enabling technologies firsthand. We’re Hiring: Data Lead – Advisory / Alternative Advisory Are you a technically skilled, business-savvy data professional passionate about alternative investments and private markets? Join our Advisory practice as a Data Lead and play a pivotal role bridging cutting-edge data architecture with strategic consulting. About the Role: As our Alternatives Data Lead, you will own the Private Market data model and architecture best practices, acting as the critical link between management consulting teams and technical delivery units. You will spearhead vendor technical designs, blueprint integration frameworks, and manage an extensive system connector inventory — ensuring seamless data integration and migration that drives impactful business decisions. What You’ll Do: Own and evolve the private market data model with a deep understanding of data lineage and architecture design principles Maintain and manage system integration inventories, staying ahead of technical capabilities and innovations Collaborate with technical teams to design robust integration frameworks and support enterprise performance management solutions Function as a trusted client advisor, simplifying technical concepts around data warehousing and BI/reporting for diverse audiences Support business growth by translating complex requirements into technical solutions and contributing to sales engagements Oversee scoping and design of scalable data migration initiatives Facilitate effective collaboration between advisory consultants and technology teams to drive successful project delivery What We’re Looking For: Proven experience in data modelling, data architecture, or data management within consulting or technology contexts Strong knowledge of private market data and alternative investment applications Hands-on experience with system integration planning and managing connector/APIs inventories Familiarity with data warehousing, BI tools, and data lineage methodologies Exceptional communication skills with the ability to advise both technical and non-technical stakeholders Skilled in scoping and designing complex data migrations and integrations (coding not required) A sales-minded approach with experience supporting technical sales processes Collaborative, proactive, and adept at navigating between business and technical teams Preferred: Background in consulting, financial services, or technology supporting alternatives/private markets Experience with BPM/EPM solutions Knowledge of cloud data architectures and modern data stack technologies Ready to drive data innovation in alternative investments? Apply now to join our expert Advisory practice and shape the future of private market data.", "summaryDescription" : "Data Lead (Advisory) at Alpha Financial Markets Consulting. Skills: Data modelling, Data architecture, System integration, Client advisory. Own private market data model. 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ML frameworks; BI platforms; Cloud data stacks", "domainList" : [ "cloud-data-services", "ml-frameworks", "bi-platforms", "cloud-data-stacks" ], "domainSpecificKnowledge" : [ "Cloud data services", "ML frameworks", "BI platforms", "Cloud data stacks" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "qualificationsBasic" : "5+ years experience, SQL proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Job Title: Project Lead - Data and Analytics We are seeking a results-driven Project Lead Consultant to lead client-facing Data and AI initiatives from discovery through delivery. 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Business users; IT teams", "projectManagementSkills" : [ "Agile ceremonies", "Project planning", "SDLC processes" ], "domainKnowledge" : "Data lake architectures; Modern data warehouse architectures; Enterprise BI architectures", "domainList" : [ "data-lake-architectures", "modern-data-warehouse-architectures", "enterprise-bi-architectures" ], "domainSpecificKnowledge" : [ "Data lake architectures", "Modern data warehouse architectures", "Enterprise BI architectures" ], "toolProficiency" : [ "Oracle Analytics Cloud", "Power BI" ], "communicationSkills" : "Presentation; Stakeholder management; Explain analytical insights", "documentationSkills" : "Documentation of data sources; Documentation of transformations; Documentation of reporting logic", "problemSolvingSkills" : "Problem-solving abilities", "specialRequirements" : "Willingness to travel periodically", "qualificationsBasic" : "Bachelor's degree in Computer Science, Information Systems, Business Administration, or related field, 5+ years of experience in BI, data analytics, or data architecture roles, Experience with relational databases, Data modeling concepts, ETL processes, Flat file data integration, Deep understanding of data analytics platforms, Reporting frameworks, Enterprise BI architectures, Ability to translate business requirements into technical data solutions, Explain analytical insights in simple terms, Experience working with stakeholders to define priorities, Gather requirements, Deliver data-driven solutions, Knowledge of Agile/Scrum methodologies, Basic project management principles, Communication skills, Presentation skills, Stakeholder management skills", "qualificationsPreferred" : "Hands-on experience with Microsoft Power BI or similar data visualization tools, Familiarity with data lake concepts, Emerging modern data warehouse architectures", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Develop and maintain strong stakeholder relationships to ensure data and analytics solutions align with evolving business requirements and priorities. Enhance and maintain stability, performance, and scalability of existing Oracle Analytics Cloud (OAC) environments. Design and support data ingestion strategies for modern data lake architectures using ETL tools, flat file processing, and integration frameworks. Establish and maintain data governance standards, including documentation of data sources, transformations, and reporting logic. Promote self-service BI adoption and visualization best practices across the organization using OAC and Power BI platforms. Manage user access, security, and provisioning for analytics platforms, ensuring appropriate governance and compliance. Support data quality processes including validation, cleansing, and ETL optimization to ensure reliable reporting outputs. Collaborate with business users and IT teams to troubleshoot system issues, deliver enhancements, and support reporting needs. Participate in SDLC processes, project planning, and Agile ceremonies while ensuring timely communication of status updates and risks. Contribute to dashboard development, report creation, and migration efforts including the “lift and shift” of legacy OAC content into Power BI. Requirements: Bachelor’s degree in Computer Science, Information Systems, Business Administration, or related field. 5+ years of experience in BI, data analytics, or data architecture roles covering design, development, implementation, and support of enterprise analytics solutions. Strong experience with relational databases, data modeling concepts, ETL processes, and flat file data integration. Hands-on experience with Microsoft Power BI or similar data visualization tools strongly preferred. Deep understanding of data analytics platforms, reporting frameworks, and enterprise BI architectures. Strong ability to translate business requirements into technical data solutions and explain analytical insights in simple terms. Experience working with stakeholders to define priorities, gather requirements, and deliver data-driven solutions. Familiarity with data lake concepts and emerging modern data warehouse architectures. Knowledge of Agile/Scrum methodologies and basic project management principles. Strong communication, presentation, and stakeholder management skills across technical and non-technical audiences. Self-starter mindset with strong problem-solving abilities and ability to lead cross-functional collaboration efforts. Willingness to travel periodically as required. Benefits: Competitive base salary with performance-based incentive compensation. Comprehensive health coverage including medical, dental, and vision insurance. Life insurance, disability coverage, and additional voluntary benefit options. Immediate eligibility for 401(k) with employer matching contributions. Generous paid time off including 80 hours (10 days) of company holidays annually. Adoption benefits and family support programs. Inclusive work environment with equal opportunity employment practices. Exposure to modern data architecture transformation and enterprise BI modernization initiatives. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Solutions Architect IV- Data and Analytics. Skills: Data architecture, Data analytics, Business intelligence. Develop and maintain stakeholder relationships. 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"Time-series", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Engineering, AI/ML Engineering, Data Strategy, Business Intelligence", "majorSkillsList" : [ "Data Engineering", "AI/ML Engineering", "Data Strategy", "Business Intelligence" ], "coreResponsibilities" : "Define and execute data and AI strategy, Lead cross-functional teams, Establish data-as-a-product principles, Drive innovation in real-time analytics, Partner with Product, Engineering, and Customer Success teams, Design and oversee high-scale, cloud-native data architectures, Implement highly available, fault-tolerant data pipelines, Lead data modeling initiatives, Work with engineering teams to embed AI-powered features, Drive observability, monitoring, and cost optimization, Oversee the development of ML/AI models, Implement MLOps best practices, Lead initiatives in AI-powered recommendations, Ensure bias-free, ethical AI practices, Build and manage BI tools, Develop product analytics frameworks, Implement embedded analytics solutions, Optimize reporting for SaaS metrics, Own data governance frameworks, Define and implement data lineage, Drive role-based access controls, Champion data democratization", "teamCollaboration" : "Cross-functional teams; Product teams; Engineering teams; Customer Success teams", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "B2B SaaS; Cloud-native architecture; Multi-tenant SaaS; SaaS metrics; GDPR; SOC 2; PIPEDA; CCPA", "domainList" : [ "b2b-saas", "cloud-native-architecture", "multi-tenant-saas", "saas-metrics", "gdpr", "soc-2", "pipeda", "ccpa" ], "domainSpecificKnowledge" : [ "B2B SaaS", "Cloud-native architecture", "Multi-tenant SaaS", "SaaS metrics", "GDPR", "SOC 2", "PIPEDA", "CCPA" ], "toolProficiency" : [ "Collibra", "Informatica", "Alation", "Immuta", "JIRA" ], "communicationSkills" : "Executive presentations; Technical documentation", "documentationSkills" : "Technical writing; API documentation; Architecture diagrams", "continuousLearning" : "Growth opportunities", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "10+ years of experience in data engineering, AI/ML, or analytics leadership roles, SQL proficiency, Master's or PhD in", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "MEET BENEVITY Benevity is the way the world does good, providing companies (and their employees) with technology to take social action on the issues they care about. Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more! We are seeking a Director of Data and ML/AI Engineering to lead our data and AI technology strategy, architecture, and execution within our B2B SaaS Benevity Impact Platform. This role is pivotal in enabling data-driven decision-making, product intelligence, and AI-powered services and automation across our platform. The ideal candidate will have deep expertise in scalable data engineering, AI/ML systems and services, and cloud-based data architectures, with a track record of building highly available, real-time analytics, and ML/AI-driven solutions for SaaS platforms. This role will oversee data science, data modeling, business intelligence, governance, and ML/AI systems engineering, ensuring alignment with our client and business needs. What you’ll do: Leadership & Data Strategy - Define and execute the data and AI strategy for our SaaS platform, ensuring alignment with business objectives and customer needs. - Lead cross-functional teams across data engineering, AI/ML, BI, and governance to deliver scalable, high-impact solutions. - Establish data-as-a-product principles, ensuring data assets are secure, reusable, and monetizable within our platform. - Drive innovation in real-time analytics, AI-powered automation and intelligence for clients. - Partner with Product, Engineering, and Customer Success teams to enhance data-driven insights, reporting, and self-service analytics. Data Engineering & Platform Architecture - Design and oversee high-scale, cloud-native data architectures that support real-time streaming, data lakes / lakehouses, and enterprise warehousing. - Implement highly available, fault-tolerant data pipelines to process, store, and serve insights across the platform. - Lead data modeling initiatives to optimize data structures for analytics, ML training, and business reporting. - Work with engineering teams to embed AI-powered features into the SaaS platform, enabling smart automation, anomaly detection, and personalization. - Drive observability, monitoring, and cost optimization across our cloud-based data infrastructure. AI/ML Engineering & Data Science - Oversee the development of ML/AI models, ensuring they are scalable, explainable, and deployed effectively in production. - Implement MLOps best practices, including CI/CD for models, versioning, and real-time inference. - Lead initiatives in AI-powered recommendations, predictive analytics, NLP, and generative AI to enhance our product offerings. - Ensure bias-free, ethical AI practices and compliance with industry AI standards and regulations. Business Intelligence & Product Analytics - Build and manage BI tools, dashboards, and self-service analytics to provide real-time insights to clients and internal stakeholders. - Develop product analytics frameworks, tracking user behavior, adoption, and feature engagement. - Implement embedded analytics solutions that allow clients to gain actionable insights from their data. - Optimize reporting for SaaS metrics (MRR, ARR, churn, retention, LTV, NPS) and drive data-informed decision-making. Data Governance & Compliance - Own data governance frameworks, ensuring data privacy, security, and compliance (GDPR, SOC 2, PIPEDA, CCPA, etc.). - Define and implement data lineage, metadata management, and master data management (MDM) best practices. - Drive role-based access controls (RBAC, ABAC or ReBac) and ensure secure, auditable data sharing within our SaaS ecosystem. - Champion data democratization, enabling teams to access trusted, well-documented data. What you’ll bring: - 10+ years of experience in data engineering, AI/ML, or analytics leadership roles, ideally in B2B SaaS or cloud-based platforms - Strong expertise in scalable data architectures, ML/AI systems, and embedded analytics - Proven track record in leading high-performance teams, managing budgets, and delivering data-driven product innovations - Experience with multi-tenant SaaS data governance, compliance (SOC 2, GDPR, etc.), and customer-facing analytics - Familiarity with emerging AI trends, including LLMs, Generative AI, and responsible AI frameworks - Familiarity with SaaS product analytics and AI-powered automation use cases - Master’s or PhD in Computer Science, Data Science, AI/ML, or a related field is preferred Technical Skills & Expertise - Data & AI Stacks (Cloud-Native, SaaS-Optimized) - Data Engineering & Storage: BigQuery, Redshift, Delta Lake, Snowflake, Databricks - AI/ML Frameworks: Azure AI, TensorFlow, PyTorch, Hugging Face, MLflow, Vertex AI - MLOps & Pipelines: Kubeflow, SageMaker, Airflow, Feature Stores, DataRobot - BI & Analytics Tools: Looker, Power BI, Mode Analytics, Amplitude, Mixpanel - Data Governance & Security: Collibra, Informatica, Alation, Immuta - Cloud & DevOps: AWS (S3, Lambda, Kinesis), GCP (BigQuery, Pub/Sub), Kubernetes, Terraform - Programming: Python, SQL, Scala, Java - Streaming & Real-Time Data: Kafka, Flink, Apache Beam DISCOVER YOUR PURPOSE AT WORK We’re not employees, we’re Benevity-ites. From all locations, backgrounds and walks of life, who deserve more … Innovative work. Growth opportunities. Caring co-workers. And a chance to do work that fills us with a sense of purpose. If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where you’re valued for who you are and challenged to see who you can become … It’s time to join Benevity. We’re so excited to meet you. WHERE WE WORK At Benevity, we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work, strong relationships, and personal well-being. For those located near one of our offices, while there’s no set requirement for in-office time, we do value the moments when coming together in person helps us build connection and collaboration. Whether it’s for onboarding, project work, or a chance to align and bond as a team, we trust our people to make thoughtful decisions about when showing up in person matters most. JOIN A COMPANY WHERE DEIB ISN’T A BUZZWORD Diversity, equity, inclusion and belonging are part of Benevity’s DNA. You’ll see the impact of our massive investment in DEIB daily — from our well-supported employee resources groups to the exceptional diversity on our leadership and tech teams. We know that diverse backgrounds, experiences, skills and passions are what move our business and our people forward, so we're committed to creating a culture of belonging with equal opportunities for everyone to shine. That starts with a fair and accessible hiring process. If you want to feel seen, heard and celebrated, you belong at Benevity. 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Product teams", "domainKnowledge" : "Fintech; Regulated systems", "domainList" : [ "fintech", "regulated-systems" ], "domainSpecificKnowledge" : [ "Fintech", "Regulated systems" ], "toolProficiency" : [ "Terraform", "AWS", "Docker", "Kubernetes" ], "problemSolvingSkills" : "Performance; Reliability; Failure modes", "specialRequirements" : "Startup environment", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "SENIOR DATA & PLATFORM ENGINEER \uD83D\uDCCD NYC (HYBRID) OR US REMOTE | COMPETITIVE + EQUITY ABOUT AVANTOS Avantos is building the AI-native operating system for financial services — transforming fragmented data into a single, intelligent system that powers workflows, automation, and decision-making. We’re a product-led, fast-moving team at the intersection of AI, fintech, and modern infrastructure. THE ROLE We’re looking for a Senior Data & Platform Engineer to build the data and core platform and infrastructure layer that powers our AI systems. This is not just about pipelines — it’s about creating the systems, tooling, and abstractions that enable engineers and AI workflows to move fast, safely, and reliably. WHAT YOU’LL DO - Design and implement core backend systems and integrations that power the product. - Design and build our data platform (orchestration, pipelines, developer workflows) - Create scalable systems for data ingestion, transformation, and access - Design data models and APIs that won’t collapse under growth. - Make sane decisions about schemas, indexes, migrations, and performance. - Own infrastructure for data + AI workloads (containers, orchestration, cloud services) - Enable self-serve data workflows for engineering and product teams - Improve observability, reliability, and performance across the data stack - Support AI/ML systems (embeddings, vector data, model pipelines) - Build tooling for document processing, metadata, and normalization WHAT WE’RE LOOKING FOR - 7+ years in data engineering, platform engineering, or backend infrastructure - A track record of shipping and owning production systems. - Strong systems thinking (not just pipelines — platform mindset) - Backend system design and API design - Data modeling and relational databases - Performance, reliability, and failure modes - Proficiency in Golang, SQL, Terraform, AWS - Comfort in a fast-moving startup environment BONUS - LLMs / RAG, vector search, fintech or regulated systems - Have startup or early-stage experience. WHY JOIN - Build the foundation layer of an AI-native product - High ownership + direct impact - Work where data, platform, and AI converge THE FIT You’re someone who doesn’t just move data — you build the systems that make data usable at scale.", "summaryDescription" : "Senior Data and Platform Engineer at Avantos. Skills: Data platform, AI systems, Infrastructure. Design backend systems. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, a repair marketplace, and home. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. WHY WE’RE HIRING Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former MBB consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then driving our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are adding a few new members to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. WHY YOU WILL (OR WON'T) LIKE WORKING HERE - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done here is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. You will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. WHAT YOU'LL OWN You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core product or business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. WHO YOU ARE - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. WHAT YOU'LL BRING - 3+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous analytical problems and driving them to a business outcome. - Clear, persuasive communicator who can influence decisions at the leadership level. OUR TOOLS SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. 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development of LLM-based solutions, Customize LLM-based solutions, Design NLP pipelines, Supervise implementation of NLP pipelines, Deliver production-grade AI services, Drive deployment of AI workloads, Own infrastructure automation, Architect AI components, Integrate AI components, Provide technical leadership, Mentor junior/mid-level engineers, Foster culture of best practices", "teamCollaboration" : "Cross-functional teams; Engineering teams", "projectManagementSkills" : [ "Agile", "DevOps" ], "domainKnowledge" : "NLP; Computer vision; LLMs; Edge devices; Cloud infrastructure; Machine Learning; MLOps; Reproducibility; Ethical AI; Event-driven ecosystems; Serverless ecosystems; Hybrid cloud; On-prem infrastructure; Real-time inference", "domainList" : [ "nlp", "computer-vision", "llms", "edge-devices", "cloud-infrastructure", "machine-learning", "mlops", "reproducibility", "ethical-ai", "event-driven-ecosystems", "serverless-ecosystems", "hybrid-cloud", "on-prem-infrastructure", "real-time-inference" ], "domainSpecificKnowledge" : [ "NLP", "Computer vision", "LLMs", "Edge devices", "Cloud infrastructure", "Machine Learning", "MLOps", "Reproducibility", "Ethical AI", "Event-driven ecosystems", "Serverless ecosystems", "Hybrid cloud", "On-prem infrastructure", "Real-time inference" ], "toolProficiency" : [ "FastAPI", "Docker", "GitHub Actions", "Terraform", "Ansible", "Ollama", "ONNX runtime", "Jetson Orin", "Xavier NX" ], "communicationSkills" : "English; French", "qualificationsBasic" : "Minimum 5 years of hands-on experience in AI/ML engineering, Demonstrated ability to lead and deliver complex AI initiatives, Proficiency in Python, Proficiency in REST API architecture, Proficiency in performance tuning, Proficiency in secure API development, Proficiency in Transformers, Proficiency in LLMs, Proficiency in RAG architectures, Proficiency in prompt tuning, Proficiency in model compression, Proficiency in vector search, Proficiency in OCR pipelines, Proficiency in chatbot design, Deep expertise in Azure, Deep expertise in AWS, Proficiency in Docker, Proficiency in GitHub Actions, Proficiency in Infrastructure-as-Code, Proficiency in CI/CD pipelines, Proficiency in Edge inference, Proficiency in Ollama/ONNX runtime, Proficiency in hybrid deployments, Proficiency in workload orchestration, Demonstrated leadership in cross-functional teams, Mentoring and coaching experience, Autonomous and capable of strategic technical decision-making, Commitment to building and sharing internal knowledge", "qualificationsPreferred" : "Interest or background in traditional software development, AWS/Azure certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Arηs Group, Part of Accenture, specializes in the management of complex public sector IT projects, including systems integration, informatics and analytics, solution implementation and program management. Our team helps lead clients through digital and information systems design, bringing expertise in a variety of areas ranging from software development, data science and security management to machine learning, cloud, and mobile development. Arηs Group was acquired by Accenture in July 2024. As a Senior Data & AI Engineer (m/f) at ARHS Group part of Accenture, you will lead the design, development, and deployment of advanced AI solutions across NLP, computer vision, and LLMs - scaling from edge devices to cloud infrastructure. You will shape intelligent systems that transform raw data into secure, high-performing AI-driven platforms, guiding technical strategy and mentoring engineering teams along the way. Beyond project delivery, you will be the go-to expert and team lead for all Machine Learning matters, responsible for guiding others and consolidating organizational know-how around ML. THE WORK: * Act as the team lead for the ML domain : define engineering standards, ensure consistency and reusability across projects, and align AI practices with company goals. * Architect and oversee AI/ML pipelines covering data ingestion, feature engineering, model training, deployment, and post-deployment monitoring * Lead the development and customization of LLM-based solutions , including open-source models (e.g., Mistral, LLaMA) on hybrid cloud/on-prem infrastructure, ensuring privacy, latency, and performance constraints are met. * Design and supervise the implementation of NLP pipelines for information extraction, classification, semantic search, and document understanding. * Deliver production-grade AI services with high-availability APIs using FastAPI or equivalent frameworks. * Drive deployment of AI workloads to both cloud platforms (Azure or AWS) and edge devices(e.g., NVIDIA Jetson Orin, Xavier NX) with real-time inference capabilities. * Own infrastructure automation for reproducible and scalable ML environments using tools like Terraform, Ansible, Docker. * Architect and integrate AI components into event-driven and serverless ecosystems (e.g., Azure Functions, Event Grid), ensuring observability, resilience, and scalability. * Provide technical leadership and mentorship to junior/mid-level engineers, fostering a culture of best practices in MLOps, reproducibility, and ethical AI use. Our roles require in-person time to encourage collaboration, learning, and relationship-building with clients, colleagues, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. The work location for this role is an ARHS – Part of Accenture office. HERE’S WHAT YOU’LL NEED: * Minimum 5 years of hands-on experience in AI/ML engineering , with a demonstrated ability to lead and deliver complex AI initiatives across full-stack data pipelines and AI systems , and proficency in: * Programming & APIs: Python, REST API architecture, performance tuning, secure API development. * NLP & ML: Transformers, LLMs (Mistral, LLaMA, etc.), RAG architectures, prompt tuning, model compression, vector search, OCR pipelines, chatbot design. * Cloud Platforms : Deep expertise in Azure and/or AWS (Functions, Glue, Logic Apps, AI Services). * MLOps & Infrastructure: Docker, GitHub Actions, Infrastructure-as-Code (Terraform ,Ansible), CI/CD pipelines. * AI System Integration : Edge inference (Jetson Orin, Xavier NX), Ollama/ONNX runtime, hybrid deployments, and workload orchestration. * Interest or background in traditional software development (e.g., Java, .NET, TypeScript, Spring Boot) is a big plus. * Any AWS/Azure certification is optional but valued. * Strong communication in English or French(both is a plus). * Demonstrated leadership in cross-functional teams, including mentoring and coaching. * Autonomous and capable of strategic technical decision-making. * Passion for building production-ready AI, with a bias for clean, documented, and maintainable solutions. * Familiarity with Agile and DevOps cultures. * Commitment to building and sharing internal knowledge, enabling collective team growth.", "summaryDescription" : "Senior Data & AI Engineer (m/f) at ARHS Group. Skills: LLMs, MLOps, Cloud Platforms. Lead design, development, and deployment of AI solutions. Shape intelligent systems", "postedDate" : "2026-06-15T09:49:20.000", "createdAt" : "2026-06-16T01:35:57.034", "lastUpdated" : "2026-06-16T14:27:48.027", "ingestTimestamp" : "2026-06-16T01:35:57.034", "mongoId" : "6a307371f292fd229c00211c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "AI/ML engineering", "Data pipelines", "AI systems", "API development", "NLP pipelines", "Information extraction", "Classification", "Document understanding", "Production-grade AI services", "Real-time inference", "Infrastructure automation", "Event-driven ecosystems", "Serverless ecosystems", "Observability", "Resilience", "Scalability", "Prompt tuning", "Model compression", "Hybrid deployments", "Workload orchestration", "Leadership", "Mentoring", "LLMs", "MLOps", "Cloud Platforms", "System design", "Technical strategy", "Team lead", "Reproducibility", "Ethical AI use", "Agile", "DevOps", "NLP", "Computer vision", "Edge devices", "Cloud infrastructure", "Machine Learning", "Ethical AI", "Hybrid cloud", "On-prem infrastructure", "AWS/Azure certification", "FastAPI", "Docker", "GitHub Actions", "Terraform", "Ansible", "Ollama", "ONNX runtime", "Jetson Orin", "Xavier NX" ], "skillCount" : 50, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306986f292fd229cfc8901", "title" : "Senior Data & AI Engineer (m/f)", "company" : "ARHS Group", "industry" : "Information Technology And Services", "salary" : { "min" : 105000.0, "max" : 145000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Data & AI Engineer in Luxembourg, Luxembourg, adjusted for lead seniority and the technology industry." }, "location" : "Luxembourg, Luxembourg, LU", "locations" : [ "Luxembourg", "Luxembourg", "LU" ], "certifications" : [ "AWS/Azure certification" ], "timestamp" : "2026-06-16T09:42:07.752", "fingerprint" : "130c56e285dd17ed06d81102ec712001b16e2d89f56f716aec753f6b03926751", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ARHS/744000132155575-senior-data-ai-engineer-m-f-", "externalId" : "744000132155575", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Luxembourg", "country" : "Luxembourg", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "49.6112768,6.1297990" } ], "locationText" : "Luxembourg, Luxembourg", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, REST API, Transformers, LLMs, RAG architectures, Vector search, OCR pipelines, Chatbot design, Azure, AWS, Functions, Glue, Logic Apps, AI Services, Docker, GitHub Actions, Terraform, Ansible, CI/CD pipelines, Edge inference, Jetson Orin, Xavier NX, Ollama, ONNX runtime, Java, NET, TypeScript, Spring Boot", "professionalSkills" : [ "System design", "Technical strategy", "MLOps", "Reproducibility", "Ethical AI use", "Agile", "DevOps" ], "hardSkillsList" : [ "AI/ML engineering", "Data pipelines", "AI systems", "API development", "Model training", "Model deployment", "Infrastructure automation", "Event-driven ecosystems", "Serverless ecosystems" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "AI/ML engineering", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "AI systems", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" }, { "name" : "Model training", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "Infrastructure automation", "level" : "intermediate" }, { "name" : "Event-driven ecosystems", "level" : "intermediate" }, { "name" : "Serverless ecosystems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Machine Learning, LLMs, MLOps", "majorSkillsList" : [ "Machine Learning", "LLMs", "MLOps" ], "coreResponsibilities" : "Lead AI solution design, Develop AI solutions, Deploy AI solutions, Scale AI solutions, Transform data into AI platforms, Guide technical strategy, Mentor engineering teams, Act as ML team lead, Define engineering standards, Ensure consistency across projects, Ensure reusability across projects, Align AI practices with company goals, Architect AI/ML pipelines, Oversee AI/ML pipelines, Lead LLM solution development, Customize LLM solutions, Meet privacy constraints, Meet latency constraints, Meet performance constraints, Design NLP pipelines, Supervise NLP pipeline implementation, Deliver production-grade AI services, Build high-availability APIs, Drive AI workload deployment, Deploy to cloud platforms, Deploy to edge devices, Enable real-time inference, Own infrastructure automation, Automate ML environments, Architect AI components, Integrate AI components, Ensure observability, Ensure resilience, Ensure scalability, Provide technical leadership, Mentor junior engineers, Mentor mid-level engineers, Foster best practices culture", "teamCollaboration" : "Cross-functional teams; Engineering teams", "projectManagementSkills" : [ "Agile", "DevOps" ], "domainKnowledge" : "NLP; Computer vision; LLMs; Edge devices; Cloud infrastructure; Machine Learning; Hybrid cloud; On-prem infrastructure; Information extraction; Document understanding; Event-driven ecosystems; Serverless ecosystems; MLOps; Reproducibility; Ethical AI", "domainList" : [ "nlp", "computer-vision", "llms", "edge-devices", "cloud-infrastructure", "machine-learning", "hybrid-cloud", "on-prem-infrastructure", "information-extraction", "document-understanding", "event-driven-ecosystems", "serverless-ecosystems", "mlops", "reproducibility", "ethical-ai" ], "domainSpecificKnowledge" : [ "NLP", "Computer vision", "LLMs", "Edge devices", "Cloud infrastructure", "Machine Learning", "Hybrid cloud", "On-prem infrastructure", "Information extraction", "Document understanding", "Event-driven ecosystems", "Serverless ecosystems", "MLOps", "Reproducibility", "Ethical AI" ], "toolProficiency" : [ "FastAPI", "Docker", "GitHub Actions", "Terraform", "Ansible", "Jetson Orin", "Xavier NX", "Ollama", "ONNX runtime" ], "communicationSkills" : "English; French", "qualificationsBasic" : "Minimum 5 years of hands-on experience in AI/ML engineering, Demonstrated ability to lead and deliver complex AI initiatives, Proficiency in Python, Proficiency in REST API architecture, Proficiency in performance tuning, Proficiency in secure API development, Proficiency in Transformers, Proficiency in LLMs, Proficiency in RAG architectures, Proficiency in prompt tuning, Proficiency in model compression, Proficiency in vector search, Proficiency in OCR pipelines, Proficiency in chatbot design, Deep expertise in Azure, Deep expertise in AWS, Proficiency in Docker, Proficiency in GitHub Actions, Proficiency in Infrastructure-as-Code, Proficiency in CI/CD pipelines, Proficiency in Edge inference, Proficiency in Ollama/ONNX runtime, Proficiency in hybrid deployments, Proficiency in workload orchestration, Demonstrated leadership in cross-functional teams, Mentoring and coaching experience, Autonomous decision-making capability, Capable of strategic technical decision-making, Commitment to building and sharing internal knowledge", "qualificationsPreferred" : "Interest or background in traditional software development, AWS/Azure certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Arηs Group, Part of Accenture, specializes in the management of complex public sector IT projects, including systems integration, informatics and analytics, solution implementation and program management. Our team helps lead clients through digital and information systems design, bringing expertise in a variety of areas ranging from software development, data science and security management to machine learning, cloud, and mobile development. Arηs Group was acquired by Accenture in July 2024. As a Senior Data & AI Engineer (m/f) at ARHS Group part of Accenture, you will lead the design, development, and deployment of advanced AI solutions across NLP, computer vision, and LLMs - scaling from edge devices to cloud infrastructure. You will shape intelligent systems that transform raw data into secure, high-performing AI-driven platforms, guiding technical strategy and mentoring engineering teams along the way. Beyond project delivery, you will be the go-to expert and team lead for all Machine Learning matters, responsible for guiding others and consolidating organizational know-how around ML. THE WORK: * Act as the team lead for the ML domain : define engineering standards, ensure consistency and reusability across projects, and align AI practices with company goals. * Architect and oversee AI/ML pipelines covering data ingestion, feature engineering, model training, deployment, and post-deployment monitoring * Lead the development and customization of LLM-based solutions , including open-source models (e.g., Mistral, LLaMA) on hybrid cloud/on-prem infrastructure, ensuring privacy, latency, and performance constraints are met. * Design and supervise the implementation of NLP pipelines for information extraction, classification, semantic search, and document understanding. * Deliver production-grade AI services with high-availability APIs using FastAPI or equivalent frameworks. * Drive deployment of AI workloads to both cloud platforms (Azure or AWS) and edge devices(e.g., NVIDIA Jetson Orin, Xavier NX) with real-time inference capabilities. * Own infrastructure automation for reproducible and scalable ML environments using tools like Terraform, Ansible, Docker. * Architect and integrate AI components into event-driven and serverless ecosystems (e.g., Azure Functions, Event Grid), ensuring observability, resilience, and scalability. * Provide technical leadership and mentorship to junior/mid-level engineers, fostering a culture of best practices in MLOps, reproducibility, and ethical AI use. Our roles require in-person time to encourage collaboration, learning, and relationship-building with clients, colleagues, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. The work location for this role is an ARHS – Part of Accenture office. HERE’S WHAT YOU’LL NEED: * Minimum 5 years of hands-on experience in AI/ML engineering , with a demonstrated ability to lead and deliver complex AI initiatives across full-stack data pipelines and AI systems , and proficency in: * Programming & APIs: Python, REST API architecture, performance tuning, secure API development. * NLP & ML: Transformers, LLMs (Mistral, LLaMA, etc.), RAG architectures, prompt tuning, model compression, vector search, OCR pipelines, chatbot design. * Cloud Platforms : Deep expertise in Azure and/or AWS (Functions, Glue, Logic Apps, AI Services). * MLOps & Infrastructure: Docker, GitHub Actions, Infrastructure-as-Code (Terraform ,Ansible), CI/CD pipelines. * AI System Integration : Edge inference (Jetson Orin, Xavier NX), Ollama/ONNX runtime, hybrid deployments, and workload orchestration. * Interest or background in traditional software development (e.g., Java, .NET, TypeScript, Spring Boot) is a big plus. * Any AWS/Azure certification is optional but valued. * Strong communication in English or French(both is a plus). * Demonstrated leadership in cross-functional teams, including mentoring and coaching. * Autonomous and capable of strategic technical decision-making. * Passion for building production-ready AI, with a bias for clean, documented, and maintainable solutions. * Familiarity with Agile and DevOps cultures. * Commitment to building and sharing internal knowledge, enabling collective team growth.", "summaryDescription" : "Senior Data & AI Engineer (m/f) at ARHS Group. Skills: Machine Learning, LLMs, MLOps. Lead AI solution design. Develop AI solutions", "postedDate" : "2026-06-15T09:49:20.000", "createdAt" : "2026-06-16T00:13:25.946", "lastUpdated" : "2026-06-16T09:42:07.752", "ingestTimestamp" : "2026-06-16T00:13:25.946", "mongoId" : "6a306986f292fd229cfc8901", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "AI/ML engineering", "Data pipelines", "AI systems", "API development", "Model training", "Model deployment", "Infrastructure automation", "Event-driven ecosystems", "Serverless ecosystems", "Leadership", "Mentoring", "Machine Learning", "LLMs", "MLOps", "System design", "Technical strategy", "Reproducibility", "Ethical AI use", "Agile", "DevOps", "NLP", "Computer vision", "Edge devices", "Cloud infrastructure", "Hybrid cloud", "On-prem infrastructure", "Information extraction", "Document understanding", "Ethical AI", "AWS/Azure certification", "FastAPI", "Docker", "GitHub Actions", "Terraform", "Ansible", "Jetson Orin", "Xavier NX", "Ollama", "ONNX runtime" ], "skillCount" : 39, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "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" : "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 } ], "status" : 200, "message" : "in senior associate ai engineer data and analytics advisory bangalore jobs", "metadata" : { "title" : "in senior associate ai engineer data and analytics advisory bangalore" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 187427, "totalPages" : 3749, "hasNext" : true, "hasPrevious" : false } }

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