{ "count" : 115306, "data" : [ { "id" : "6a306b15f292fd229cfcf414", "title" : "Director Engineering, AI & Data", "company" : "Deloitte", "industry" : "Accounting", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Director Engineering, AI & Data in Amsterdam, Netherlands, adjusted for seniority and industry." }, "location" : "Amsterdam, NH, Netherlands", "locations" : [ "Amsterdam", "NH", "Netherlands" ], "timestamp" : "2026-06-16T09:38:52.329", "fingerprint" : "3365d362df5ad7a5cac324b9142e16a94b0cb3401a7e31e13cf646345a6bb1b2", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/DeloitteNetherlands/744000132220185-director-engineering-ai-data-consumer-", "externalId" : "744000132220185", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "AWS, Azure, Microservices, Serverless, Kubernetes, Databricks, Snowflake, Real-time data streaming, MLOps, LLMs, Prompt engineering, Responsible AI, APIs, Event-driven architecture, API management, CI/CD, Infrastructure as code, Observability, Agentic Engineering", "professionalSkills" : [ "Strategic vision", "Commercial drive", "Technical architecture", "Value propositions", "Client relationships", "Business development", "Programme delivery", "P&L responsibility" ], "hardSkillsList" : [ "Data transformation", "AI transformation", "Cloud transformation", "Data platforms", "Enterprise data platforms", "Emerging technologies", "Engineering blueprints", "Roadmaps", "Project lifecycle management", "Technology domain", "Multidisciplinary teams", "Development teams", "Generative AI", "Advanced analytics", "AI orchestration", "Platform engineering" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "AI transformation", "level" : "intermediate" }, { "name" : "Cloud transformation", "level" : "intermediate" }, { "name" : "Data platforms", "level" : "intermediate" }, { "name" : "Enterprise data platforms", "level" : "intermediate" }, { "name" : "Emerging technologies", "level" : "intermediate" }, { "name" : "Engineering blueprints", "level" : "intermediate" }, { "name" : "Roadmaps", "level" : "intermediate" }, { "name" : "Project lifecycle management", "level" : "intermediate" }, { "name" : "Technology domain", "level" : "intermediate" }, { "name" : "Multidisciplinary teams", "level" : "intermediate" }, { "name" : "Development teams", "level" : "intermediate" }, { "name" : "Generative AI", "level" : "intermediate" }, { "name" : "Advanced analytics", "level" : "intermediate" }, { "name" : "AI orchestration", "level" : "intermediate" }, { "name" : "Platform engineering", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Engineering, AI, Data, Cloud, Transformation", "majorSkillsList" : [ "Engineering", "AI", "Data", "Cloud", "Transformation" ], "coreResponsibilities" : "Lead strategic and commercial growth, Build and maintain CIO relationships, Build and maintain Chief Architect relationships, Identify and shape opportunities, Define proposals, Convert proposals into engagements, Co-create technical architecture, Guide development teams in implementation, Deliver transformation programmes, Guide clients in developing Engineering blueprints, Guide clients in developing roadmaps, Manage full project lifecycle, Contribute to thought leadership, Inspire multidisciplinary engineering teams, Inspire multidisciplinary development teams, Coach multidisciplinary engineering teams, Coach multidisciplinary development teams, Develop multidisciplinary engineering teams, Develop multidisciplinary development teams, Shape strategy, Drive business development, Deliver complex transformation programmes, Own client relationships, Translate sector challenges into roadmaps, Take responsibility for P&L, Take responsibility for proposals, Take responsibility for programme delivery, Build multidisciplinary teams, Mentor multidisciplinary teams, Forge partnerships with providers, Ensure solutions meet governance standards, Ensure solutions meet privacy standards, Ensure solutions meet ethical standards, Represent practice through thought leadership, Represent practice through industry engagement, Turn insight into business outcomes, Reshape customer experience, Reshape operations, Reshape monetisation", "teamCollaboration" : "Multidisciplinary teams; 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Inspiring teams; Aligning stakeholders; Thought leadership; Industry engagement", "problemSolvingSkills" : "Simplify complex topics", "outcomesObjectives" : "Impactful engagements; Measurable business outcomes", "qualificationsBasic" : "10+ years experience, Shaping and delivering large-scale Engineering, Cloud, AI and Data transformation programmes end-to-end, Advising senior executives, Simplifying complex technical topics", "qualificationsPreferred" : "Chief lead architect or head of an IT department experience, Trusted advisor to C-level and C-1 stakeholders, Strategic partner", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Accelerate our growth in the Consumer (Consumer Goods and Retail) sector and contribute through your strategic vision, commercial drive and deep expertise in Engineering, AI and data-driven transformation. At Deloitte. * Lead strategic and commercial growth of Engineering and Data offerings within the Consumer, Retail and Travel/services/hospitality industry * Build and maintain strong CIO and Chief Architect relationships * Identify and shape opportunities, define proposals, and convert them into impactful engagements * Co-create technical architecture and guide development teams in implementation * Deliver transformation programmes focused on enterprise data platforms, AI, cloud, and emerging technologies * Guide clients in developing Engineering blueprints and roadmaps * Manage the full project lifecycle, from early visioning to implementation and adoption * Contribute to Deloitte’s thought leadership in the technology domain * Inspire, coach and develop multidisciplinary engineering and development teams ## Qualifications * 10+ years of experience as Chief lead architect or head of an IT department in a mid-size to large business * Proven track record in shaping and delivering large-scale Engineering, Cloud, AI and Data transformation programmes end-to-end * Acts as a trusted advisor to C-level and C-1 stakeholders, bridging business strategy and technology execution * Extensive experience advising senior executives and acting as a strategic partner * Deep passion for technology, combining broad knowledge with strong depth in key domains * Able to simplify complex technical topics into clear, actionable insights * In-depth experience with modern technology stacks such as: cloud platforms: AWS, Azure, GCP; cloud-native architectures such as microservices, serverless and Kubernetes * data and AI platforms: Databricks, Snowflake, real-time data streaming and MLOps * generative AI and advanced analytics: LLMs, prompt engineering, AI orchestration and responsible AI * integration and APIs: event-driven architecture and API management * DevOps and platform engineering: CI/CD, infrastructure as a code and observability * Agentic Engineering * Strong commercial mindset, with the ability to identify opportunities, shape value propositions and build long-term client relationships * Excellent communication and leadership skills, inspiring teams and aligning diverse stakeholders * Proven ability to navigate complex stakeholder environments across business and IT * Self-starter with the ability to build a business ## Additional Information As a Director within our Engineering, AI & Data practice, you will shape our strategy, driving business development, and delivering complex transformation programmes.You own client relationships at C‑suite level, translate sector challenges into pragmatic roadmaps, and take responsibility for P&L, proposals and successful programme delivery. You build and mentor multidisciplinary teams, forge partnerships with technology and ecosystem providers, and ensure solutions meet governance, privacy and ethical standards. Externally you represent the practice through thought leadership and industry engagement, turning insight into measurable business outcomes that reshape customer experience, operations and monetisation.", "summaryDescription" : "Director Engineering, AI & Data at Deloitte. Skills: Engineering, AI, Data, Cloud, Transformation. Lead strategic and commercial growth. 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At our core, WD is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, WD is fueling a brighter, smarter future. Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage. Program: Internship Program Department: Engineering / Manufacturing / Process / Data Analytics (varies by team) Duration: 2–6 months (typical) Target Onboarding: August/September 2026 Role Overview We are seeking motivated and detail-oriented interns from Data Analytics and Engineering-related disciplines to join our technical teams. This internship provides hands-on exposure to real-world engineering, manufacturing, and data analytics projects. Interns will support process improvement, data analysis, and technical investigations while working closely with engineers and cross-functional partners. This role is ideal for students who want practical experience in advanced manufacturing, process engineering, and data-driven problem solving. Key Responsibilities * Assist in analyzing engineering and manufacturing data to identify trends, issues, and improvement opportunities * Support process monitoring, optimization, and documentation activities * Work with engineers on experiments, tests, and technical evaluations * Help develop dashboards and reports for operational and process metrics * Participate in problem-solving and root cause analysis activities * Contribute to design of experiments (DOE) and statistical studies * Support data cleaning, validation, and ETL-related tasks * Prepare technical summaries and presentations of findings * Collaborate with cross-functional teams on assigned projects This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum ## Qualifications * Currently pursuing a Bachelor’s degree or has equivalent experience in any of the following majors or related programs: * Computer Science * Data Science * Industrial Engineering * Statistics * Physics * Mechanical Engineering / Mechatronics * Materials Science * Manufacturing Engineering * Strong analytical and problem-solving skills * Good written and verbal communication skills * Ability to work with large datasets and technical information * Detail-oriented with a structured and organized approach to tasks * Able to work both independently and collaboratively in a team environment Technical Skills (Preferred — not all required) * Basic knowledge of precision mechanics and manufacturing processes * Familiarity with thin-film processes and contamination control concepts * Understanding of metrology tools (e.g., AFM, profilometry) is a plus Exposure to: * Design of Experiments (DOE) * Statistical Process Control (SPC) * Failure analysis methods Programming / Analytics Tools: * Python or R * SQL Data & Reporting Tools: * Power BI or Tableau * Data visualization techniques Fundamentals of: * Statistical modeling * Machine learning basics * ETL processes What Interns Will Gain * Hands-on experience with real engineering and data projects * Exposure to advanced manufacturing and process technologies * Mentorship from experienced engineers and technical leaders * Practical experience with industry tools and analytics platforms * Opportunity to present project results to stakeholders ## Additional Information Important Reminders: * We provide free medical examination. * We do not collect any original requirements. * We do not collect any fees at any stage of the hiring process. WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@wdc.com](mailto:staffingsupport@wdc.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to [WD Ethics Helpline](https://secure.ethicspoint.com/domain/media/en/gui/48999/index.html) or email [compliance@wdc.com](mailto:compliance@wdc.com).", "summaryDescription" : "Data Analytics & Engineering INTERN at Western Digital. Skills: Data Analytics, Data Engineering. Analyze engineering and manufacturing data. Identify trends, issues, and improvement opportunities", "postedDate" : "2026-06-15T02:47:15.000", "createdAt" : "2026-06-16T03:34:20.306", "lastUpdated" : "2026-06-16T12:11:05.693", "ingestTimestamp" : "2026-06-16T03:34:20.306", "mongoId" : "6a308ec6f292fd229c0a5233", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Machine learning basics", "ETL processes", "Data Analytics", "Data Engineering", "Advanced manufacturing", "Process engineering", "Data-driven problem solving", "Precision mechanics", "Manufacturing processes", "Thin-film processes", "Contamination control", "Metrology tools", "Power BI", "Tableau" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a304f24f292fd229cee57da", "title" : "Data Analytics & Engineering INTERN", "company" : "Western Digital", "industry" : "Computer Hardware", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Data Analytics & Engineering Intern in Biñan, Philippines, adjusted for the technology industry and internship role." }, "location" : "Biñan, LAGUNA, PH", "locations" : [ "Biñan", "LAGUNA", "PH" ], "timestamp" : "2026-06-16T04:35:28.813", "fingerprint" : "ef3e0f9d2b5464e255e116bd3a61dd5dcef426cbad4f6ace0c77ac76fc5ab58b", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/WesternDigital/744000132106259-data-analytics-engineering-intern", "externalId" : "744000132106259", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Biñan", "state" : "Laguna", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.3388259,121.0841826" } ], "locationText" : "Biñan, Laguna, Philippines", "employmentType" : "INTERNSHIP", "experienceLevel" : "internship", "technicalSkills" : "Python, R, SQL, Power BI, Tableau", "hardSkillsList" : [ "Statistical modeling", "Machine learning basics", "ETL processes" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning basics", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" } ], "majorSkills" : "Data Analytics, Data Engineering", "majorSkillsList" : [ "Data Analytics", "Data Engineering" ], "coreResponsibilities" : "Analyze engineering and manufacturing data, Identify trends, issues, and improvement opportunities, Support process monitoring, Support process optimization, Support process documentation, Work with engineers on experiments, Work with engineers on tests, Work with engineers on technical evaluations, Develop dashboards for operational metrics, Develop dashboards for process metrics, Develop reports for operational metrics, Develop reports for process metrics, Participate in problem-solving, Participate in root cause analysis, Contribute to design of experiments, Contribute to statistical studies, Support data cleaning, Support data validation, Support ETL-related tasks, Prepare technical summaries, Prepare presentations of findings", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Advanced manufacturing; Process engineering; Data-driven problem solving; Precision mechanics; Manufacturing processes; Thin-film processes; Contamination control; Metrology tools", "domainList" : [ "advanced-manufacturing", "process-engineering", "data-driven-problem-solving", "precision-mechanics", "manufacturing-processes", "thin-film-processes", "contamination-control", "metrology-tools" ], "domainSpecificKnowledge" : [ "Advanced manufacturing", "Process engineering", "Data-driven problem solving", "Precision mechanics", "Manufacturing processes", "Thin-film processes", "Contamination control", "Metrology tools" ], "toolProficiency" : [ "Power BI", "Tableau" ], "communicationSkills" : "Written communication; Verbal communication; Technical summaries; Presentations", "documentationSkills" : "Process documentation", "continuousLearning" : "Mentorship; Development curriculum", "problemSolvingSkills" : "Problem-solving; Root cause analysis", "qualificationsBasic" : "Bachelor's degree or equivalent experience, Analytical and problem-solving skills, Ability to work with large datasets, Ability to work with technical information", "qualificationsPreferred" : "Basic knowledge of precision mechanics, Basic knowledge of manufacturing processes, Familiarity with thin-film processes, Familiarity with contamination control concepts, Understanding of metrology tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At WD, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, WD is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, WD is fueling a brighter, smarter future. Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage. Program: Internship Program Department: Engineering / Manufacturing / Process / Data Analytics (varies by team) Duration: 2–6 months (typical) Target Onboarding: August/September 2026 Role Overview We are seeking motivated and detail-oriented interns from Data Analytics and Engineering-related disciplines to join our technical teams. This internship provides hands-on exposure to real-world engineering, manufacturing, and data analytics projects. Interns will support process improvement, data analysis, and technical investigations while working closely with engineers and cross-functional partners. This role is ideal for students who want practical experience in advanced manufacturing, process engineering, and data-driven problem solving. Key Responsibilities * Assist in analyzing engineering and manufacturing data to identify trends, issues, and improvement opportunities * Support process monitoring, optimization, and documentation activities * Work with engineers on experiments, tests, and technical evaluations * Help develop dashboards and reports for operational and process metrics * Participate in problem-solving and root cause analysis activities * Contribute to design of experiments (DOE) and statistical studies * Support data cleaning, validation, and ETL-related tasks * Prepare technical summaries and presentations of findings * Collaborate with cross-functional teams on assigned projects This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum ## Qualifications * Currently pursuing a Bachelor’s degree or has equivalent experience in any of the following majors or related programs: * Computer Science * Data Science * Industrial Engineering * Statistics * Physics * Mechanical Engineering / Mechatronics * Materials Science * Manufacturing Engineering * Strong analytical and problem-solving skills * Good written and verbal communication skills * Ability to work with large datasets and technical information * Detail-oriented with a structured and organized approach to tasks * Able to work both independently and collaboratively in a team environment Technical Skills (Preferred — not all required) * Basic knowledge of precision mechanics and manufacturing processes * Familiarity with thin-film processes and contamination control concepts * Understanding of metrology tools (e.g., AFM, profilometry) is a plus Exposure to: * Design of Experiments (DOE) * Statistical Process Control (SPC) * Failure analysis methods Programming / Analytics Tools: * Python or R * SQL Data & Reporting Tools: * Power BI or Tableau * Data visualization techniques Fundamentals of: * Statistical modeling * Machine learning basics * ETL processes What Interns Will Gain * Hands-on experience with real engineering and data projects * Exposure to advanced manufacturing and process technologies * Mentorship from experienced engineers and technical leaders * Practical experience with industry tools and analytics platforms * Opportunity to present project results to stakeholders ## Additional Information Important Reminders: * We provide free medical examination. * We do not collect any original requirements. * We do not collect any fees at any stage of the hiring process. WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@wdc.com](mailto:staffingsupport@wdc.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to [WD Ethics Helpline](https://secure.ethicspoint.com/domain/media/en/gui/48999/index.html) or email [compliance@wdc.com](mailto:compliance@wdc.com).", "summaryDescription" : "Data Analytics & Engineering INTERN at Western Digital. Skills: Data Analytics, Data Engineering. Analyze engineering and manufacturing data. Identify trends, issues, and improvement opportunities", "postedDate" : "2026-06-15T02:47:15.000", "createdAt" : "2026-06-15T21:31:38.376", "lastUpdated" : "2026-06-16T04:35:28.813", "ingestTimestamp" : "2026-06-15T21:31:38.376", "mongoId" : "6a304f24f292fd229cee57da", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Machine learning basics", "ETL processes", "Data Analytics", "Data Engineering", "Advanced manufacturing", "Process engineering", "Data-driven problem solving", "Precision mechanics", "Manufacturing processes", "Thin-film processes", "Contamination control", "Metrology tools", "Power BI", "Tableau" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3057a0f292fd229cf3c3e9", "title" : "Quality Engineering Intern, AI/ML", "company" : "Rocket Lawyer", "industry" : "Legal", "salary" : { "min" : 40.0, "max" : 50.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arizona ", "locations" : [ "Arizona", "California", "Colorado", "North Carolina", "Utah" ], "timestamp" : "2026-06-16T07:39:49.821", "fingerprint" : "d717137b205e7ef1ba98047f11de50336e2931c5e8b3311e4503f941be359937", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/rocketlawyer/jobs/5263173008", "externalId" : "5263173008", "industryFunction" : { }, "structuredLocations" : [ { "state" : "California", "country" : "United States", "continent" : "na", "workMode" : "remote" }, { "state" : "Arizona", "country" : "United States", "continent" : "na", "workMode" : "remote" }, { "state" : "Colorado", "country" : "United States", "continent" : "na", "workMode" : "remote" }, { "state" : "North Carolina", "country" : "United States", "continent" : "na", "workMode" : "remote" }, { "state" : "Utah", "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "California, United States; Arizona, United States; Colorado, United States; North Carolina, United States; Utah, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "remoteFriendly" : true, "rawDescription" : "About Rocket Lawyer We believe everyone deserves access to affordable and simple legal services. Founded in 2008, Rocket Lawyer is the largest and most widely used online legal service platform in the world. With offices in North America, South America, and Europe, Rocket Lawyer has helped over 30 million people create over 50 million legal documents, and get their legal questions answered. We are in a unique position to enhance and expand the Rocket Lawyer platform to a scale never seen before in the company’s history, to capture audiences worldwide. We are expanding our team to take on this challenge! About your role Join our team as a Quality Engineering Intern on the AI/ML team at Rocket Lawyer, where you'll have the exciting opportunity to contribute to the testing of applications for Rocket Copilot, our AI Product. This internship offers hands-on experience in the software development process, and you'll collaborate closely with a talented, diverse, and global test team. Your work will directly impact the quality of Rocket Lawyer’s products, all while gaining valuable insights into industry best practices for software development and test automation. In this role, you'll dive into various areas of test automation, including mobile, partnerships, web frontend, and performance testing. This internship provides a unique chance to apply your skills and learn innovative testing and automation techniques, all while receiving mentorship from experienced professionals in the field. If you're eager to contribute to real-world projects and grow your expertise, we would love to have you join us! How you will make a difference day to day Assist with the creation and execution of automated tests for mobile applications. Partnerships Test Automation: Develop automated test scripts for integrations with external partners. Contribute to the automation of testing for marketing sites and Google Tag Manager functionality. Help build and execute automated test cases for web frontend applications and authoring tools. Assist in identifying and measuring system performance to ensure optimal functionality under varying loads. Actively participate in daily scrum meetings, collaborating with team members and engineers to align on priorities and tasks. Support in the building, execution, and delivery of automated test scripts and results. What you’ll need Graduate Student, Recent Graduate, or in your Senior year: Pursuing a technical degree in computer science, engineering, mathematics, or a related field. Familiarity with Javascript/Typescript and Python. A strong desire to expand your knowledge, improve technical skills, and grow within a collaborative environment. We encourage applicants from all backgrounds and communities to apply. We believe that diverse perspectives strengthen our teams and enhance the quality of our work. Interview Process Recruiter Phone Screen Hiring Manager Interview Team Interview Rocket Lawyer is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer, we never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, military or veteran status, status as an individual with a disability, or other applicable legally protected characteristics. We particularly welcome applications from veterans and military spouses. All your information will be kept confidential according to EEO guidelines. You may request reasonable accommodations by sending an email to hr@rocketlawyer.com. Location: Remote, but you must be located in CA, AZ, CO, NC, or UT during the internship. Compensation per hour by location: San Francisco Bay Area, CA: $50.00 California (outside of San Francisco Bay Area): $46.25 Colorado: $42.50 Utah, Arizona, and North Carolina: $40.00 Actual compensation packages are determined by various factors unique to each candidate, including but not limited to skill set, depth of experience, certifications, specific work location, and performance during the interview process. In addition to base salary, this role may include variable compensation and be eligible for an equity grant, depending on the position and level. Base salary range: $40—$50 USD By applying for this position, your data will be processed as per Rocket Lawyer Privacy Policy.", "summaryDescription" : "Quality Engineering Intern, AI/ML at Rocket Lawyer", "postedDate" : "2026-06-15T23:24:24.217", "createdAt" : "2026-06-15T23:24:24.217", "lastUpdated" : "2026-06-16T07:39:49.821", "ingestTimestamp" : "2026-06-15T23:24:24.217", "mongoId" : "6a3057a0f292fd229cf3c3e9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 83200, "salaryAnnualMax" : 104000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Legal", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30794df292fd229c031216", "title" : "Director, Data and AI Engineering", "company" : "Benevity", "industry" : "Technology", "salary" : { "min" : 192000.0, "max" : 238810.0, "currency" : "CAD", "frequency" : "Yearly" }, "location" : "Toronto, Ontario", "locations" : [ "Toronto, Ontario" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T15:07:30.375", "fingerprint" : "aaf0e33227ca131481be4962d98f3d416a3d9e7ac0a72837e11beccb51a05d5d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/benevity/791ccf38-f164-4521-b05d-6f35fa1e7245/application", "externalId" : "791ccf38-f164-4521-b05d-6f35fa1e7245", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, SQL, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Kubernetes, Terraform, Kafka, Flink, Apache Beam, Lambda, Kinesis, Pub/Sub", "professionalSkills" : [ "Data strategy", "Data modeling", "Business intelligence", "Data governance", "ML systems engineering", "Product intelligence", "AI-powered services", "Data-driven decision-making", "Scalable data engineering", "AI/ML systems", "Cloud-based data architectures", "Real-time analytics", "ML/AI-driven solutions", "Client needs", "Data-as-a-product", "Data assets", "Real-time analytics", "AI-powered automation", "Data-driven insights", "Self-service analytics", "Data pipelines", "Enterprise warehousing", "ML training", "Business reporting", "AI-powered features", "Anomaly detection", "Personalization", "Cost optimization", "MLOps", "CI/CD", "Real-time inference", "Recommendations", "Predictive analytics", "NLP", "Generative AI", "Ethical AI", "AI standards", "BI tools", "Dashboards", "Product analytics", "User behavior", "Feature engagement", "Embedded analytics", "SaaS metrics", "Data privacy", "Data security", "Compliance", "Data lineage", "Metadata management", "MDM", "RBAC", "ABAC", "ReBac", "Data sharing", "Data democratization", "Trusted data", "Documented data", "Team leadership", "Budget management", "Product innovations", "Multi-tenant SaaS", "Customer-facing analytics", "Emerging AI trends", "Responsible AI frameworks" ], "hardSkillsList" : [ "Regression", "Classification", "Clustering", "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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L.", "industry" : "Administrative Support, Tech Ops Engineering, no business category", "salary" : { "min" : 18000.0, "max" : 24000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in the technology industry in Zaragoza, Spain, adjusted for company size and seniority." }, "location" : "Zaragoza, Aragon, ESP", "locations" : [ "Zaragoza, Aragon, ESP" ], "timestamp" : "2026-06-15T06:32:29.997", "fingerprint" : "cb0d17a725060e0b1c91b9039943f45ece3e759fff4fe69458036c876463fb22", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3099973/apply", "externalId" : "c0542c47-23cd-4cdf-97f4-2b9c2d44c389", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Zaragoza", "state" : "Aragon", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "41.6915847,-0.9101268" } ], "locationText" : "Zaragoza, Aragon, Spain", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Power Distribution, UPS system, HVAC, PUE, Fire Suppression, Generator, VFDs, Building automation systems", "professionalSkills" : [ "Risk management", "Vendor management", "Metrics reporting" ], "hardSkillsList" : [ "Mechanical maintenance", "Electrical maintenance", "Root cause analysis", "Troubleshooting facility events", "Troubleshooting rack-level events" ], "hardSkills" : [ { "name" : "Mechanical maintenance", "level" : "intermediate" }, { "name" : "Electrical maintenance", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Troubleshooting facility events", "level" : "intermediate" }, { "name" : "Troubleshooting rack-level events", "level" : "intermediate" } ], "majorSkills" : "Data Center Operations, Critical facility infrastructure, Mechanical equipment, Electrical equipment", "majorSkillsList" : [ "Data Center Operations", "Critical facility infrastructure", "Mechanical equipment", "Electrical equipment" ], "coreResponsibilities" : "Maintain mechanical equipment, Maintain electrical equipment, Assist root cause analysis, Assist troubleshooting facility events, Assist troubleshooting rack-level events, Take daily operational readings, Utilize CMMS, Manage building workflows, Interact with third party vendors, Interact with contractors, Power up newly deployed racks, Ensure safety procedures adhered, Plan maintenance works, Write procedures, Review procedures", "teamCollaboration" : "Work in a team environment", "projectManagementSkills" : [ "Program management", "Project management" ], "domainKnowledge" : "Power redundancy; Cooling; Hot aisle; Cold aisle; Stand-by diesel generators; Switchgear; UPS; PDUs; AHUs; Chillers; Cooling towers; Chemical treatment systems; Pumps; Motors", "domainList" : [ "power-redundancy", "cooling", "hot-aisle", "cold-aisle", "stand-by-diesel-generators", "switchgear", "ups", "pdus", "ahus", "chillers", "cooling-towers", "chemical-treatment-systems", "pumps", "motors" ], "domainSpecificKnowledge" : [ "Power redundancy", "Cooling", "Hot aisle", "Cold aisle", "Stand-by diesel generators", "Switchgear", "UPS", "PDUs", "AHUs", "Chillers", "Cooling towers", "Chemical treatment systems", "Pumps", "Motors" ], "toolProficiency" : [ "CMMS" ], "documentationSkills" : "Write procedures; Review procedures", "continuousLearning" : "Mentorship", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "No public transportation, Internship agreement from university, Day, evening, or weekend shifts, On-call rotations", "outcomesObjectives" : "Maintain critical facility infrastructure; Ensure operational performance standards", "qualificationsBasic" : "Bachelor's Degree in relevant field, Certification from Technical/Trade school program, English language Level B2, Access to own transport", "qualificationsPreferred" : "Experience in program management, Experience in project management, Knowledge of mechanical systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Amazon Web Services (AWS), we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon is continually evolving and is a place where motivated employees thrive and also where employee ownership and accountability lead to meaningful results. Are you ready to embrace the challenge? Come build the future with us. Data Center Engineering Operations Intern The Data Center Engineering Operations (DCEO) Team is the backbone of AWS, supporting the rapid growth of AWS business and customers 24x7. We commit to maintain the physical critical facility infrastructure of AWS and ensure the standards for operational performance in the areas of safety, security, availability, productivity, capacity, efficiency and cost. Interns will work in an Amazon Data Center and will provide technical support, including risk management and mitigation, corrective and preventative maintenance of critical facility infrastructure, vendor management and metrics reporting. This role is due to start in May 2026 and you MUST have access to your own transport as there is no public transportation to our Data Centers at Zaragoza. Duties include: · Maintain mechanical and electrical equipment · Assist root cause analysis of equipment failures · Assist in troubleshooting of facility and rack-level events within internal SLA · Take daily operational readings of all mechanical and electrical equipment · Utilize internal CMMS to manage building workflows · Interact with third party vendors & contractors who are working on site Amazon internships are full-time (40 hours/week) for 12 consecutive weeks. Candidates must be able to provide an internship agreement from their university. Intern schedules are typically day schedules, Monday-Friday. A full time position could involve day, evening, or weekend shifts and on-call rotations. Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. Note: Applications are reviewed on a rolling basis. For an update on your status, or to confirm your application was submitted successfully, please login to your candidate portal. Please note that we are reviewing a high volume of applications and appreciate your patience. Mentorship & Career Growth Our team is dedicated to supporting new team members in an environment that celebrates knowledge sharing and mentorship. Projects and tasks are assigned in a way that leverages your strengths and helps you further develop your skillset. Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences. Work/Life Harmony Our team puts a high value on work-life harmony. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility and encourage you to find your own balance between your work and personal lives. EMEA Student Programs Team Key job responsibilities Core technical knowledge that you will need: Power Distribution & Main / backup powerflow • Power redundancy • Basic UPS system knowledge HVAC / Cooling • Cooling • hot / cold aisle • PUE Fire Suppression Generator A few daily tasks; · Maintain mechanical and electrical equipment · Assist root cause analysis of equipment failures · Assist in troubleshooting of facility and rack-level events within internal SLA · Power up newly deployed racks · Ensure all safety procedures are adhered to while performing work · Take daily operational readings of all mechanical and electrical equipment · Take daily operational readings of all mechanical and electrical equipment · Plan maintenance works and Write / review procedures A day in the life https://www.youtube.com/watch?v=LTgCHTdRed0 About the team The Engineering Operations team is Amazon’s front-line responders for hands-on electrical and mechanical equipment troubleshooting and operations. You will work with equipment that supports mission-critical servers and must maintain better than 99.999% uptime. This equipment includes, but is not limited to, stand-by diesel generators, switchgear, UPS’s, PDU’s, AHU’s, chillers, cooling towers, chemical treatment systems, pumps, motors, VFD’s, and building automation systems. Basic Qualifications: - In pursuit of or obtained Bachelor’s Degree within a relevant field such as mechanical/electrical engineering OR - In pursuit of or obtained certification from a Technical/Trade school program (HVAC, electrician, facilities maintenance, or similar) - English language Level B2 - Ability to work well with others in a team environment, displaying strong time management skills - Must have access to own transport Preferred Qualifications: - Experience in program or project management - Knowledge of mechanical systems (Mechanical, HVAC systems, Controls) Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. 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. 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Maintain electrical equipment", "postedDate" : "2026-06-13T16:48:08.223", "createdAt" : "2026-06-13T16:48:08.223", "lastUpdated" : "2026-06-15T06:32:29.997", "ingestTimestamp" : "2026-06-13T16:48:08.223", "mongoId" : "68e0a7e3ce260f92cbf8eb45", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3099973/apply", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Mechanical maintenance", "Electrical maintenance", "Root cause analysis", "Troubleshooting facility events", "Troubleshooting rack-level events", "Data Center Operations", "Critical facility infrastructure", "Mechanical equipment", "Electrical equipment", "Risk management", "Vendor management", "Metrics reporting", "Program management", "Project management", "Power redundancy", "Cooling", "Hot aisle", "Cold aisle", "Stand-by diesel generators", "Switchgear", "UPS", "PDUs", "AHUs", "Chillers", "Cooling towers", "Chemical treatment systems", "Pumps", "Motors", "CMMS" ], "skillCount" : 29, "jobCategory" : "operations", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a3051e4f292fd229cf0882d", "title" : "June 2026 Machine Learning Intern (R&D)", "company" : "Phamily", "salary" : { "min" : 50000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Machine Learning Intern in the US, adjusted for the healthcare industry and a mid-sized company in Ohio." }, "location" : "Ohio, United States", "locations" : [ "Ohio", "United States" ], "timestamp" : "2026-06-16T08:57:10.824", "fingerprint" : "e954f61ccaf02db6f024f7b63520f9489ca781d0ad583c4aecafe452c2505613", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/jobsatphamily/jobs/5263024008", "externalId" : "5263024008", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Ohio", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Ohio, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "rawDescription" : "Machine Learning Intern (R every employee at Jaan Health must embody growth company DNA. This means you have proven success in a high-performing environment: high velocity, strong ownership, comfort with ambiguity, resilience, and a true growth mindset. You are both a playbook builder and executor, able to design scalable approaches for today while anticipating what the business will need tomorrow, and then follow through to deliver results. Our culture is built on five principles that shape how we work, lead, and grow: • Care: We put patients, clients, teammates, and outcomes first. • Curiosity: We ask better questions, challenge assumptions, and keep learning. • Clarity: We simplify complexity, communicate directly, and create alignment. • Co-Creation: We collaborate across teams, perspectives, and disciplines. • Craftsmanship: We execute with excellence, ownership, and continuous improvement. What You’ll Gain Through this internship, you will gain: • Work on high-impact, real-world AI problems in healthcare • Own projects that go from research ideas → deployed systems • Collaborate with a fast-moving, product-driven ML team • Real-world experience in a fast-paced, high-growth environment • Exposure to executive leaders and cross-functional teams • Mentorship and professional development support • Experience solving real business challenges • Stronger communication, collaboration, and problem-solving skills • Opportunity to build confidence, ownership, and business acumen • A collaborative, mission-driven team helping transform healthcare at scale If you take pride in delivering results, embrace challenges, and proactively seek improvement, then this is the place for you. You’ll join a smart, humble, and collaborative team dedicated to improving healthcare. Equal Employment Opportunity Phamily is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, genetics, veteran status, sexual orientation, gender identity or expression, or any other legally protected status.", "summaryDescription" : "June 2026 Machine Learning Intern (R&D) at Phamily", "postedDate" : "2026-06-15T23:16:03.937", "createdAt" : "2026-06-15T23:16:03.937", "lastUpdated" : "2026-06-16T08:57:10.824", "ingestTimestamp" : "2026-06-15T23:16:03.937", "mongoId" : "6a3051e4f292fd229cf0882d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 50000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3074d9f292fd229c009d20", "title" : "Director, Data and AI Engineering", "company" : "Benevity", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for Director, Data and AI Engineering in Calgary, Canada, adjusted for SaaS industry and company size." }, "location" : "Calgary, Alberta", "locations" : [ "Calgary, Alberta", "Vancouver, British Columbia" ], "timestamp" : "2026-06-16T11:55:49.932", "fingerprint" : "48d6e9e7d6092e824c8f4e626ef408c40aef8877a09c5443b28ff1eaf3b039e9", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/benevity/863fc534-814d-4aed-a969-d52dd5e43dc2/application", "externalId" : "863fc534-814d-4aed-a969-d52dd5e43dc2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Calgary", "state" : "Alberta", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "51.0456064,-114.0575410" } ], "locationText" : "Calgary, Alberta, Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "remoteFriendly" : true, "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. Candidates with disabilities who may require accommodations throughout the hiring or assessment process are encouraged to reach out to accommodations@benevity.com.", "summaryDescription" : "Director, Data and AI Engineering at Benevity", "createdAt" : "2026-06-16T00:25:36.052", "lastUpdated" : "2026-06-16T11:55:49.932", "ingestTimestamp" : "2026-06-16T00:25:36.052", "mongoId" : "6a3074d9f292fd229c009d20", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305591f292fd229cf2033c", "title" : "AI Engineering Lead", "company" : "Planet", "salary" : { "min" : 70000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for AI Engineering Lead in Portugal, adjusted for Lead seniority and the Technology industry." }, "location" : "Portugal", "locations" : [ "Portugal" ], "timestamp" : "2026-06-16T11:48:37.456", "fingerprint" : "82499f3d6841d48e7d9d10804097ca6b027f3851f205816a4c7612cad7a141e7", "source" : "workday", "language" : "en", "applyUrl" : "https://planet.wd3.myworkdayjobs.com/Planet/job/Porto---Portugal/C--Software-Engineer_JR11259", "externalId" : "JR11259", "industryFunction" : { }, "locationPoint" : "39.3999,-8.2245", "structuredLocations" : [ { "country" : "Portugal", "continent" : "eu", "workMode" : "hybrid" } ], "locationText" : "Portugal", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "**About Planet** Planet is a global provider of integrated technology and payments solutions for retail and hospitality customers. We create great experiences for the millions of people who use our payments, software, and tax-free solutions every minute of every day. Planet empowers its customers to deliver great customer experiences by combining payments and software in ways that drive greater loyalty, increase revenue and save time. Founded over 35 years ago and with our headquarters in London, today we have more than 2,500 employees located across six continents serving our customers in more than 120 markets. **Role Overview** We are looking for a Senior Engineering & AI Tech Lead to provide hands‑on technical leadership for our on‑premise hospitality products, while systematically infusing AI into both the product roadmap and the day‑to‑day ways of working of the engineering team. The successful candidate will be equally comfortable owning complex C# / C++ systems, modernising legacy platforms, and pragmatically applying AI (LLMs, ML, automation) where it creates real customer or operational value — not experimentation for experimentation’s sake. This is a hands‑on role: you will design, code, review, coach, and lead by example while steadily raising the technical and delivery bar of the team. **What you will do** ### ### Technical & Product Leadership * Act as the technical authority for the on‑prem product suite, spanning legacy and modern components * Drive architecture, design decisions, and technical standards across C# and C++ codebases * Own the technical execution of the product roadmap, ensuring delivery predictability, quality, and sustainability * Partner closely with Product leadership to translate business goals into executable technical plans * Identify and reduce systemic technical debt and operational risk ### ### AI Enablement & Adoption * Identify high‑leverage AI opportunities across the product: automation, supportability, configuration, data quality, compliance, and operational efficiency * Lead the pragmatic adoption of AI / LLM‑based capabilities in production environments * Define standards for AI quality, testing, observability, security, and responsible use * Introduce AI‑assisted ways of working for the engineering team (e.g. development productivity, testing, diagnostics, documentation) * Ensure AI is embedded into normal delivery workflows, not treated as a standalone initiative ### ### Delivery Ownership * Take end‑to‑end accountability for delivery outcomes, including prioritisation, execution, and risk management * Establish and track engineering KPIs (predictability, quality, operational health) * Ensure systems meet legal, fiscal, security, and regulatory requirements relevant to on‑prem hospitality software ### ### Team Leadership & Enablement * Serve as a engineering team lead for the team as assigned * Lead through influence, coaching, and example rather than hierarchy * Mentor engineers; raise technical judgment and ownership across the team for AI * Shape common engineering practices: code reviews, testing strategies, CI/CD, documentation, incident handling * Gradually evolve team maturity, structure, and accountability as needed ### ### Ways of Working & Operational Excellence * Drive continuous improvement in engineering practices, tooling, and workflows * Introduce clearer technical decision‑making, ownership boundaries, and escalation paths * Improve collaboration across Product, Support, Operations, and Compliance **Who you are** ### ### Technical background * Strong professional experience in C# and C++ within complex commercial software products * Deep understanding of software architecture, distributed systems, and long‑lived codebases * Proven hands‑on experience delivering AI/ML or LLM‑based features into production * Comfortable modernising legacy systems while maintaining reliability for existing customers ### ### Leadership & mindset * Experienced technical leader who can run a team without relying on title or hierarchy * Pragmatic, outcome‑oriented, and commercially aware * Strong coach and mentor; raises the bar for others through clarity and example * Confident making—and standing behind—technical decisions ### ### Delivery & communication * Track record of delivering complex software predictably and safely * Able to communicate clearly with engineers, product managers, and senior stakeholders * Fluent English **Why Planet:** Planet is an equal opportunity employer where diversity is valued, and all employment is decided based on qualifications, merit, and business need. Come and grow your career in the most exciting, fast paced technology market, with a business that delivers feel-good connected commerce. **We would love to hear from you – Apply now**. At Planet, we embrace a hybrid work model, with three days a week in the office. Reasonable accommodations may be made in order to allow for an individual to perform the essential functions of this role successfully.", "summaryDescription" : "AI Engineering Lead at Planet", "postedDate" : "2026-06-16T03:46:32.751", "createdAt" : "2026-06-16T03:46:32.747", "lastUpdated" : "2026-06-16T11:48:37.456", "ingestTimestamp" : "2026-06-16T03:46:32.747", "mongoId" : "6a305591f292fd229cf2033c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://planet.wd3.myworkdayjobs.com/Planet/job/Porto---Portugal/C--Software-Engineer_JR11259", "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c747874d8ee00a0934d2d", "title" : "Engineering Intern", "industry" : "Overview Taiwan", "salary" : { "min" : 360000.0, "max" : 540000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Engineering Intern in Taipei, Taiwan, adjusted for the technology industry and internship employment type." }, "location" : "Taipei", "locations" : [ "Taipei" ], "timestamp" : "2026-06-15T05:08:48.661", "fingerprint" : "c0a4ebb7d5ecabfd80907a0e64a314380a59f92a058ff43bf39aca9425106b89", "source" : "ashby", "language" : "zh", "applyUrl" : "https://jobs.ashbyhq.com/overview/d0f32974-e8fd-4c77-bea8-e6c49dc25a9d/application", "externalId" : "d0f32974-e8fd-4c77-bea8-e6c49dc25a9d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Taipei", "country" : "Taiwan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "25.0375198,121.5636796" } ], "locationText" : "Taipei, Taiwan", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, C, C++, JavaScript, Firmware, Embedded OS", "professionalSkills" : [ "Test automation", "Hardware integration", "Software integration" ], "hardSkillsList" : [ "Command-line tools", "Scripting" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Command-line tools", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Hardware testing, Software testing, AI integration", "majorSkillsList" : [ "Hardware testing", "Software testing", "AI integration" ], "coreResponsibilities" : "Prepare new camera hardware, Inspect physical connections, Connect hardware to test bench, Install firmware and embedded OS, Use command-line tools, Use custom scripts, Execute automated QA tests, Verify device stability, Verify image streaming, Verify core peripheral performance, Record test results, Log software bugs, Repackage devices, Maintain regression test racks, Organize network cables, Organize serial signal cables", "teamCollaboration" : "Senior engineers", "domainKnowledge" : "Industrial AI cameras; Edge computing", "domainList" : [ "industrial-ai-cameras", "edge-computing" ], "domainSpecificKnowledge" : [ "Industrial AI cameras", "Edge computing" ], "toolProficiency" : [ "Jira", "Confluence" ], "documentationSkills" : "Technical guides", "continuousLearning" : "Mentorship", "outcomesObjectives" : "Achieve zero downtime", "qualificationsBasic" : "Currently pursuing or hold CS/EE/Robotics degree, Hands-on project experience, Programming skills in Python, C, C++, or JavaScript", "qualificationsPreferred" : "Basic networking protocols and concepts", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "職位描述 (Job Description) 我們打造應用於中國與美國各地工廠的工業級邊緣運算 AI 相機 (industrial AI cameras)。對我們而言，產品的「可靠性」就是一切——當我們的相機停機時，工廠的生產線就會被迫停擺。我們的產品研發中心位於台北，總部設於舊金山，並在中國與美國皆設有大型的應用與客戶工程團隊。職位角色 (The Role) 我們正在招募一名 (工程實習生) 實習生 (Engineering Intern)，以協助我們台北研發中心的團隊。這是一個專注於測試與驗證硬體、軟體以及 AI 整合的實作技術崗位。你將負責搭建測試台、執行自動化測試套件，並追蹤邊緣案例的錯誤 (edge-case bugs)，以確保我們的邊緣相機達到零停機時間。你將直接與資深工程師協作，以精準且高效的速度維持穩定、可靠的硬體管線。工作內容 (What You’ll Do) - 硬體準備 (Hardware Prep)：拆封全新的相機硬體、檢查實體連接線路，並將其連接至測試台以進行自動化建置。 - 軟體安裝 (Software Installation)：將裝置連接至測試用電腦，並依照技術指南使用命令列工具 (command-line tools) 或自訂腳本燒錄最新的韌體 (firmware) 與嵌入式作業系統。 - 最終測試 (Final Testing)：執行自動化 QA 測試套件（使用 Python 或 C 語言），以驗證裝置穩定性、影像串流品質以及核心週邊硬體的效能。 - 資料整理 (Organization)：在 Confluence 或 Jira 等工具中記錄測試通過/失敗的結果、標記軟體錯誤 (bugs)，並在驗證完成後將裝置整潔地重新打包。 - 實驗室維護 (Lab Support)：維護迴歸測試機架 (regression testing racks)、整理網路線與序列訊號線，並確保所有除錯工具皆已貼上標籤且妥善存放。必要條件 (Must-Haves) - 教育背景 (Education)：目前就讀或已取得資訊工程 (CS)、電機/電子工程 (EE)、機器人工程或相關技術領域的學位。 - 專案經驗 (Project Background)：具備實作專案經驗（包含課堂內與課外的個人獨立專案或 side projects）。 - 核心特質 (Core Trait)：展現出聰明、樂於接受指導、具備高度適應力，且能在團隊協作環境中蓬勃發展。 - 程式技能 (Programming Skills)：熟悉至少一種程式語言（Python、C、C++ 或 JavaScript）。加分條件 (Nice-to-Haves) - 網路基礎知識 (Networking Basics)：熟悉基本網路協定與概念（如 IP 設定、路由器或數據傳輸）。為什麼加入我們 (Why Join) - 親手建置直接影響真實世界製造業生產線的核心自動化系統。 - 享有高度的專案所有權與自主權，並獲得資深嵌入式工程師的直接導師制 (mentorship) 指導。 - 與涵蓋硬體、AI 以及客戶工程領域的世界級團隊緊密協作。 - 加入一家快速成長、節奏高效且已實現盈利的初創企業 (startup)。", "summaryDescription" : "Engineering Intern. Skills: Hardware testing, Software testing, AI integration. Prepare new camera hardware. Inspect physical connections", "createdAt" : "2026-06-14T09:22:53.395", "lastUpdated" : "2026-06-15T05:08:48.661", "ingestTimestamp" : "2026-06-14T09:22:53.395", "mongoId" : "6a2c747874d8ee00a0934d2d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Command-line tools", "Scripting", "Mentoring", "Hardware testing", "Software testing", "AI integration", "Test automation", "Hardware integration", "Software integration", "Industrial AI cameras", "Edge computing", "Jira", "Confluence" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306652f292fd229cfb0215", "title" : "Generalist Engineering Intern - Drones & Applied AI", "industry" : "Software Engineering", "salary" : { "min" : 48000.0, "max" : 60000.0, "currency" : "CHF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an Entry-level Engineering Intern in the Technology industry in Zurich, Switzerland, adjusted for seniority and internship roles." }, "location" : "Zürich", "locations" : [ "Zürich" ], "timestamp" : "2026-06-16T15:21:31.815", "fingerprint" : "5f56ce73733e2de6f9cc88c27576577b42ad09480c6b9f85c2555798a67f0578", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/wingtra-2/53ce6293-bb94-474b-aa8d-16fae7dedfc8/apply", "externalId" : "53ce6293-bb94-474b-aa8d-16fae7dedfc8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Zürich", "country" : "Switzerland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "47.3744489,8.5410422" } ], "locationText" : "Zürich, Switzerland", "employmentType" : "INTERNSHIP", "technicalSkills" : "C++, Microcontrollers, CAN, UART, I2C, SPI, Embedded Linux, PX4, ROS/ROS 2, Autopilots, MAVLink, GNSS, Simulation, Python, TypeScript, React, Node.js, Git, Linux, PyTorch, OpenCV, Object detection, Edge deployment", "professionalSkills" : [ "System integration", "Firmware development", "Embedded software", "Hardware tasks", "Mechanical design", "CAD design", "Rapid prototyping", "Full-stack development", "ML approaches", "Data processing", "Code maintainability", "Open-source adaptation" ], "hardSkillsList" : [ "Soldering", "Wiring", "Debugging", "Test rig assembly", "3D printing", "CNC", "Log analysis", "Automation scripts", "Dataset processing" ], "softSkillsList" : [ "Curious", "Self-driven", "Agency", "Learning ability" ], "hardSkills" : [ { "name" : "Soldering", "level" : "intermediate" }, { "name" : "Wiring", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" }, { "name" : "Test rig assembly", "level" : "intermediate" }, { "name" : "3D printing", "level" : "intermediate" }, { "name" : "CNC", "level" : "intermediate" }, { "name" : "Log analysis", "level" : "intermediate" }, { "name" : "Automation scripts", "level" : "intermediate" }, { "name" : "Dataset processing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" }, { "name" : "Self-driven" }, { "name" : "Agency" }, { "name" : "Learning ability" } ], "majorSkills" : "Firmware, Embedded, Robotics, Software, Web, CV/ML, Data", "majorSkillsList" : [ "Firmware", "Embedded", "Robotics", "Software", "Web", "CV/ML", "Data" ], "coreResponsibilities" : "Prototype systems integrating software, Test systems integrating software, Develop firmware, Develop embedded software, Handle hardware tasks, Solder electronics, Wire electronics, Debug electronics, Assemble test rigs, Design mechanical parts, Design enclosures, Build internal tools, Build full-stack applications, Evaluate CV/ML approaches, Contribute maintainable code, Adapt open-source components", "teamCollaboration" : "Work with engineers", "domainKnowledge" : "Drone hardware; Microcontrollers; Embedded Linux; Robotics; Autopilots; MAVLink; GNSS; Simulation; Linux development; Cloud APIs; Object detection; Edge deployment; Large dataset processing", "domainList" : [ "drone-hardware", "microcontrollers", "embedded-linux", "robotics", "autopilots", "mavlink", "gnss", "simulation", "linux-development", "cloud-apis", "object-detection", "edge-deployment", "large-dataset-processing" ], "domainSpecificKnowledge" : [ "Drone hardware", "Microcontrollers", "Embedded Linux", "Robotics", "Autopilots", "MAVLink", "GNSS", "Simulation", "Linux development", "Cloud APIs", "Object detection", "Edge deployment", "Large dataset processing" ], "toolProficiency" : [ "CAD", "Git", "ROS", "ROS 2", "PX4", "MAVLink", "PyTorch", "OpenCV" ], "communicationSkills" : "Spoken English; Written English", "continuousLearning" : "Self-directed learner", "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Complex debugging", "qualificationsBasic" : "Proven track record of building substantial projects independently, Self-directed learner comfortable with technical ambiguity, Engineering judgment focused on reliability, Proficiency in spoken and written English, Degree in Robotics, CS, Engineering, or equivalent practical experience", "qualificationsPreferred" : "Concrete examples of things they have personally built, Projects that went beyond coursework, Projects involved solving real-world problems, Showed some sustained iteration on projects", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Responsibilities As a generalist engineering intern, you will work with and assist highly driven and experienced engineers to achieve ambitious goals. You may contribute across several of the following areas, depending on your strengths and the project needs: Prototype and test systems integrating software, electronics, mechanics, and drone hardware. Develop firmware and embedded software for microcontrollers and peripherals. Handle hardware tasks including soldering, wiring, debugging, and assembling test rigs. Design mechanical parts and enclosures using CAD and rapid prototyping tools. Build internal tools and full-stack applications using Python, TypeScript, or React. Evaluate CV/ML approaches for automation, mapping, and drone-related data processing. Contribute maintainable code to existing codebases and adapt open-source components. ## Requirements We are looking for someone who is highly curious, self-driven, and comfortable working across disciplines. You should be able to show that you have a: Proven track record of building substantial projects independently (hobby, professional, or open-source). Self-directed learner comfortable with technical ambiguity and complex debugging. Strong engineering judgment focused on reliability over simple demos. Proficiency in spoken and written English. Degree (in progress or completed) in Robotics, CS, Engineering, or equivalent practical experience. The strongest candidates will have concrete examples of things they have personally built. We are especially interested in projects that went beyond coursework and involved solving real-world problems, your own or for others, and showed some sustained iteration on it. ## Plus You do not need experience in all of the areas below. A strong overlap with a few of them, plus high agency and strong learning ability, is more important. Relevant experience could include: Firmware / embedded: C/C++, microcontrollers, protocols (CAN, UART, I2C, SPI), and embedded Linux. Robotics: PX4, ROS/ROS 2, autopilots, MAVLink, GNSS, and simulation. Hardware: Hands-on electronics, soldering, debugging, and test rig assembly. Mechanical: CAD design for mounts/enclosures and rapid prototyping (3D printing, CNC). Software: Python, C++, TypeScript, Git, and maintainable Linux development. Web: Full-stack tools using React, Node.js, and cloud APIs. CV/ML: PyTorch, OpenCV, object detection, and edge deployment. Data: Log analysis, automation scripts, and large dataset processing.", "summaryDescription" : "Generalist Engineering Intern - Drones & Applied AI. Skills: Firmware, Embedded, Robotics, Software, Web, CV/ML, Data. Prototype systems integrating software. Test systems integrating software", "postedDate" : "2026-06-15T11:09:50.497", "createdAt" : "2026-06-15T11:09:50.497", "lastUpdated" : "2026-06-16T15:21:31.815", "ingestTimestamp" : "2026-06-16T03:26:44.943", "mongoId" : "6a306652f292fd229cfb0215", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Soldering", "Wiring", "Debugging", "Test rig assembly", "3D printing", "CNC", "Log analysis", "Automation scripts", "Dataset processing", "Curious", "Self-driven", "Agency", "Learning ability", "Firmware", "Embedded", "Robotics", "Software", "Web", "CV/ML", "Data", "System integration", "Firmware development", "Embedded software", "Hardware tasks", "Mechanical design", "CAD design", "Rapid prototyping", "Full-stack development", "ML approaches", "Data processing", "Code maintainability", "Open-source adaptation", "Drone hardware", "Microcontrollers", "Embedded Linux", "Autopilots", "MAVLink", "GNSS", "Simulation", "Linux development", "Cloud APIs", "Object detection", "Edge deployment", "Large dataset processing", "CAD", "Git", "ROS", "ROS 2", "PX4", "PyTorch", "OpenCV" ], "skillCount" : 51, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca57974d8ee00a09b6af7", "title" : "Engineering Lead - Insurance (Data & AI)", "company" : "Alpha Financial Markets Consulting", "industry" : "Consulting", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Engineering role in Edinburgh, UK, adjusted for the consulting industry and company size." }, "location" : "Edinburgh, City Of Edinburgh, Scotland, United Kingdom", "locations" : [ "Edinburgh", "City Of Edinburgh", "Scotland", "United Kingdom", "London", "Greater London", "England", "United Kingdom" ], "certifications" : [ "Industry conferences", "Certifications", "Training programmes" ], "timestamp" : "2026-06-15T21:23:57.860", "fingerprint" : "9d78e5f01dd0c79000adf95a70818c57aceedd25e88c53954e48c11de4a620e3", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/alphafmcroles/jobs/8587942002", "externalId" : "8587942002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Edinburgh", "state" : "City Of Edinburgh", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "55.9519018,-3.1904199" } ], "locationText" : "Edinburgh, City Of Edinburgh, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "REST, GraphQL, Kubernetes, Terraform, GitHub Actions, Azure DevOps, Jenkins, Kafka, Event streaming, EDI, ACORD XML, JSON", "professionalSkills" : [ "System design", "Integration patterns", "Stakeholder management", "Contract negotiation", "Risk management" ], "hardSkillsList" : [ "Data engineering", "AI/ML", "DevOps", "Cloud engineering", "Security engineering", "API development", "Data privacy engineering", "Secure SDLC" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "AI/ML", "level" : "intermediate" }, { "name" : "DevOps", "level" : "intermediate" }, { "name" : "Cloud engineering", "level" : "intermediate" }, { "name" : "Security engineering", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" }, { "name" : "Data privacy engineering", "level" : "intermediate" }, { "name" : "Secure SDLC", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data & AI, Insurance domain, Engineering leadership", "majorSkillsList" : [ "Data & AI", "Insurance domain", "Engineering leadership" ], "coreResponsibilities" : "Prioritise remediation, Balance feature delivery, Evaluate third-party software, Recommend third-party software, Shape technical solutions, Meet regulatory requirements, Meet operational requirements, Oversee delivery of capabilities, Ensure compliance with standards, Ensure compliance with regulations, Act as subject matter expert, Bridge business and engineering, Accountable for quality, Accountable for timeliness, Accountable for technical integrity, Champion Agile, Champion DevSecOps, Contribute to sprint planning, Contribute to backlog refinement, Contribute to release governance, Define engineering KPIs, Track engineering KPIs, Manage stakeholder expectations, Provide transparent reporting, Lead procurement, Lead contract negotiations, Represent engineering function, Attend senior leadership forums, Attend architecture boards, Attend client-facing engagements", "teamCollaboration" : "Business stakeholders; Engineering teams; Cross-functional teams; Senior leadership forums; Architecture boards", "projectManagementSkills" : [ "Agile", "DevSecOps", "Sprint planning", "Backlog refinement", "Release governance" ], "domainKnowledge" : "Insurance business processes; Policy lifecycle management; Claims handling; Bordereaux processing; Reinsurance ceding; Premium calculation engines; Solvency II; FCA requirements; GDPR; ACORD XML; JSON standards", "domainList" : [ "insurance-business-processes", "policy-lifecycle-management", "claims-handling", "bordereaux-processing", "reinsurance-ceding", "premium-calculation-engines", "solvency-ii", "fca-requirements", "gdpr", "acord-xml", "json-standards" ], "domainSpecificKnowledge" : [ "Insurance business processes", "Policy lifecycle management", "Claims handling", "Bordereaux processing", "Reinsurance ceding", "Premium calculation engines", "Solvency II", "FCA requirements", "GDPR", "ACORD XML", "JSON standards" ], "toolProficiency" : [ "Guidewire", "Duck Creek", "Majesco" ], "communicationSkills" : "Transparent reporting; Client-facing engagements", "continuousLearning" : "Continuous learning budget; Industry conferences; Certifications; Training programmes", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Improve quality; Improve timeliness; Improve technical integrity; Track lead time; Track deployment frequency; Track MTTR; Track defect escape rate", "qualificationsBasic" : "5+ years experience in insurance domain, Experience with insurance business processes, Experience with policy lifecycle management, Experience with claims handling, Experience with bordereaux processing, Experience with reinsurance ceding, Experience with premium calculation engines, Experience with Solvency II, Experience with FCA requirements, Experience with market standards, Experience with GDPR", "qualificationsPreferred" : "Experience with Guidewire, Experience with Duck Creek, Experience with Majesco", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Alpha Financial Markets Consulting (Alpha) is a leading global consultancy to the financial services industry. We are a boutique management consulting firm that offers the world’s top industry players a competitive edge through our expertise and industry insight. Our team is of a uniquely high calibre and by focusing across the General Insurance prioritise remediation in balance with feature delivery. Evaluate and recommend third-party insurance software (e. g. Guidewire, Duck Creek, Majesco) and integration patterns. Insurance Domain Delivery Apply specialist knowledge of insurance business processes to shape technical solutions that meet regulatory and operational requirements. Oversee delivery of insurance-specific capabilities: policy lifecycle management, claims handling, bordereaux processing, reinsurance ceding, and premium calculation engines. Ensure compliance with industry standards and regulations including Solvency II, FCA requirements, market standards, and GDPR. Act as a subject matter expert (SME) bridging business stakeholders and engineering teams on insurance domain requirements. Delivery accountable for quality, timeliness, and technical integrity. Champion Agile and DevSecOps practices; contribute to sprint planning, backlog refinement, and release governance. Define and track engineering KPIs including lead time, deployment frequency, MTTR, and defect escape rate. Manage stakeholder expectations and provide transparent reporting on engineering progress and risk. Stakeholder lead procurement and contract negotiations where required. Represent the engineering function in senior leadership forums, architecture boards, and client-facing engagements. Skills REST and GraphQL APIs. Cloud & Infrastructure: Kubernetes, Terraform, CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins). Data & Integration: Kafka / event streaming, enterprise integration patterns, EDI/ACORD XML or JSON standards. Security & Compliance: OWASP practices, data privacy engineering, secure SDLC. What We Offer Competitive base salary benchmarked to senior tech consulting market rates. Annual performance bonus tied to individual and company outcomes. Comprehensive benefits package including private medical insurance, life assurance, and income protection. Hybrid working model with flexible arrangements to support work-life balance. Generous pension scheme with enhanced employer contributions. Continuous learning budget and access to industry conferences, certifications, and training programmes. 25 days annual leave plus bank holidays, with option to buy additional days. Employee assistance programme and wellbeing support.", "summaryDescription" : "Engineering Lead - Insurance (Data & AI) at Alpha Financial Markets Consulting. Skills: Data & AI, Insurance domain, Engineering leadership. Prioritise remediation. Balance feature delivery", "postedDate" : "2026-06-14T20:09:30.908", "createdAt" : "2026-06-14T20:09:30.908", "lastUpdated" : "2026-06-15T21:23:57.860", "ingestTimestamp" : "2026-06-14T20:09:30.908", "mongoId" : "6a2ca57974d8ee00a09b6af7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data engineering", "AI/ML", "DevOps", "Cloud engineering", "Security engineering", "API development", "Data privacy engineering", "Secure SDLC", "Leadership", "Data & AI", "Insurance domain", "Engineering leadership", "System design", "Integration patterns", "Stakeholder management", "Contract negotiation", "Risk management", "Agile", "DevSecOps", "Sprint planning", "Backlog refinement", "Release governance", "Insurance business processes", "Policy lifecycle management", "Claims handling", "Bordereaux processing", "Reinsurance ceding", "Premium calculation engines", "Solvency II", "FCA requirements", "GDPR", "ACORD XML", "JSON standards", "Industry conferences", "Certifications", "Training programmes", "Guidewire", "Duck Creek", "Majesco" ], "skillCount" : 39, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cea3d74d8ee00a0a70612", "title" : "Intern, Test Engineering", "company" : "Harbinger Motors Inc.", "industry" : "Manufacturing", "salary" : { "min" : 25.0, "max" : 35.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Garden Grove, California, United States", "locations" : [ "Garden Grove", "California", "United States" ], "timestamp" : "2026-06-16T01:57:11.483", "fingerprint" : "0ea286929cb5d46d5b51de0ff0fdf8d5529d3cda6e4c53e16ecf93734f0ecbeb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/harbingermotors/jobs/5164330007", "externalId" : "5164330007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Garden Grove", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7746292,-117.9463717" } ], "locationText" : "Garden Grove, California, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Assist in testing automotive components, Set up test equipment, Operate test equipment, Monitor test equipment, Collect test data, Analyze test data, Support development of test procedures, Prepare test plans, Ensure proper test execution, Document test results, Document observations, Document deviations, Provide detailed reports, Communicate test outcomes, Suggest improvements, Maintain test equipment, Ensure proper calibration, Ensure equipment functionality, Adhere to safety standards, Adhere to safety protocols, Participate in team meetings, Discuss test results, Discuss project updates, Assist in troubleshooting issues, Assist in root-cause analysis, Provide potential solutions, Provide workarounds", "teamCollaboration" : "Cross-functional teams; Test engineers; Product design release engineers; Manufacturing engineers", "domainKnowledge" : "Vehicle components; Electric vehicle (EV); EV platform", "domainList" : [ "vehicle-components", "electric-vehicle-ev", "ev-platform" ], "domainSpecificKnowledge" : [ "Vehicle components", "Electric vehicle (EV)", "EV platform" ], "toolProficiency" : [ "CATIA 3DExperience" ], "documentationSkills" : "Detailed reports", "problemSolvingSkills" : "Root-cause analysis; Troubleshooting", "qualificationsBasic" : "Enrolled in Bachelor’s degree program or greater in electrical, mechanical, mechatronics, or related engineering field, Work authorized in the United States OR ability to obtain necessary work visa", "qualificationsPreferred" : "Ability to create 3D CAD models and 2D drawings using CATIA 3DExperience, Understanding of 2D drawing layout and GD&T", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Harbinger Harbinger is an American commercial electric vehicle (EV) company on a mission to transform an industry starving for innovation. Harbinger’s best-in-class team of EV, battery, and drivetrain experts have pooled their deep experience to bring a first-of-its-kind EV platform to support the growing demand for medium-duty EVs and Hybrids. Harbinger: Familiar Form, Revolutionary Foundation. Job Overview: Location: Immerse yourself in our innovative culture! This role requires a commitment of 4 days in-office per week at our facility in Garden Grove, CA as well as full-time hours (40 hours a week). Duration: 11-14 weeks (Sep 8 to Dec 11 OR Sep 21 to Dec 4) Relocation Support: A $1,000 relocation stipend is available for interns currently residing more than 50 miles from Garden Grove, CA. Compensation: Earn an hourly rate of $25-35 USD per hour. Job Summary: We are currently seeking an ambitious engineering student to join our Component Test Engineering team. As an intern, you will have various opportunities to contribute to developing and validating vehicle components. You will work closely with other test engineers, product design release engineers, and manufacturing engineers to ensure that in-house and supplier-sourced components perform reliably to design specifications. Additionally, this test engineering intern will be closely involved in the design and development of internal testing infrastructure to serve the needs of the company. What You'll Do: Assist in testing automotive components for performance, durability, and reliability under various conditions. Set up, operate, and monitor test equipment to conduct tests on mechanical, electrical, and thermal components. Collect and analyze test data to evaluate the functionality and quality of components. Support the development of test procedures by preparing test plans and ensuring proper test execution. Document test results, observations, and any deviations from expected performance, providing detailed reports for senior engineers. Work closely with cross-functional teams (design, manufacturing, and quality) to communicate test outcomes and suggest improvements. Maintain test equipment and ensure proper calibration and functionality. Adhere to safety standards and protocols when operating in the test lab environment. Participate in team meetings to discuss test results and project updates. Assist in troubleshooting issues and/or root-cause analysis of test failures encountered during testing and provide potential solutions or workarounds. Required Skills: Enrolled in Bachelor’s degree program or greater in electrical, mechanical, mechatronics, or related engineering field Familiarity with developing schematics, testing with guidance Work authorized in the United States OR ability to obtain necessary work visa Desired Skills: Ability to create 3D CAD models and 2D drawings using CATIA 3DExperience Understanding of 2D drawing layout and GD (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Harbinger may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our HR, legal, and finance teams, and the team(s) with the position(s) for which you are applying; (ii) Harbinger affiliates; and (iii) Harbinger’s service providers, including providers of background checks, staffing services, and cloud services. Harbinger may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services. Any unsolicited resumes or candidate profiles submitted in response to our job posting shall be considered the property of Harbinger and are not subject to payment of referral or placement fees if any such candidate is later hired by Harbinger unless you have a signed written agreement in place with us which covers the applicable job posting.", "summaryDescription" : "Intern, Test Engineering at Harbinger Motors Inc.. Assist in testing automotive components. Set up test equipment", "postedDate" : "2026-06-14T19:22:05.241", "createdAt" : "2026-06-14T19:22:05.241", "lastUpdated" : "2026-06-16T01:57:11.483", "ingestTimestamp" : "2026-06-14T19:22:05.241", "mongoId" : "6a2cea3d74d8ee00a0a70612", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 52000, "salaryAnnualMax" : 72800, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Vehicle components", "Electric vehicle (EV)", "EV platform", "CATIA 3DExperience" ], "skillCount" : 4, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.98 }, { "id" : "69dde4492beec4dd3d9a3363", "title" : "Intern Engineering Support", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 35000.0, "max" : 45000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Engineering Support Intern in Gatesville, TX, adjusted for government industry and internship employment type." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations", "Hourly", "Nonexempt,
Gatesville Ae/Coryell Co Maint (09CORYLLCO)
3502 E MAIN
Gatesville, 76528

Waco District Headquarters (09DISTHQ)
100 SOUTH LOOP DRIVE
Waco, 76704-2858

, Gatesville Ae/Coryell Co Maint" ], "timestamp" : "2026-06-15T22:55:55.493", "fingerprint" : "d4de43276c01b45a33e3860bb01925b634cc8daf20a01ee46b3326959b8e6efa", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=43124", "externalId" : "43124", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gatesville", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "31.4351645,-97.7439110" }, { "city" : "Waco", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "31.5491899,-97.1474628" } ], "locationText" : "Gatesville, Texas, United States; Waco, Texas, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Assist in transportation engineering support work, Perform construction or maintenance inspection, Perform structural construction or maintenance, Perform laboratory work, Perform landscaping, Perform surveying, Perform engineering data collection, Operate data collection equipment, Perform other entry-level engineering support work", "domainKnowledge" : "Transportation engineering", "domainList" : [ "transportation-engineering" ], "domainSpecificKnowledge" : [ "Transportation engineering" ], "qualificationsBasic" : "Must be 16 years old, Be a U. S. Citizen or be eligible to work in the U. S, Be currently enrolled as a student at a high school, technical school, college or university", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Summer and Year-Round Engineering Support Internship! TxDOT's Waco District has a job opening(s) for a Year-Round or Summer Intern Engineering Support Tech at our Gatesville Area and Waco Area Offices! Annually, over 500 College and High School students from across Texas and beyond select the Texas Department of Transportation as their employer of choice. A paid internship is a great opportunity to explore what TxDOT has to offer, expand your knowledge and skills, and possibly serve as a gateway to future job opportunities with the agency. Many students choose to join our team while they complete their college education. Engineering Support Techs assists in transportation engineering support work such as construction or maintenance inspection, structural construction or maintenance, laboratory work, landscaping, surveying, or engineering data collection, operating data collection equipment, and other entry-level engineering support work. Employees at this level perform assignments following specific instructions and are subject to frequent review by the immediate supervisor. To qualify, students must: Must be 16 years old Be a U.S. Citizen or be eligible to work in the U.S. Be currently enrolled as a student at a high school, technical school, college or university Work Location(s): Gatesville Area Office: 3502 E. Main Gatesville, TX 76528 Waco Area Office: 7479 Bagby Ave. Waco, TX 76712 20.44 20.44", "summaryDescription" : "Intern Engineering Support at TxDOT. Assist in transportation engineering support work. Perform construction or maintenance inspection", "createdAt" : "2026-06-14T21:57:23.611", "lastUpdated" : "2026-06-15T22:55:55.493", "ingestTimestamp" : "2026-06-14T21:57:23.611", "mongoId" : "69dde4492beec4dd3d9a3363", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 35000, "salaryAnnualMax" : 45000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Transportation engineering" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde4492beec4dd3d9a3367", "title" : "Intern Engineering Support", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 31000.0, "max" : 45000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an Entry-level Intern Engineering Support role in Littlefield, United States, with adjustments for government industry and company size." }, "location" : "UST-Texas-Littlefield-Littlefield-Lamb Co Ae/Maint", "locations" : [ "UST-Texas-Littlefield-Littlefield-Lamb Co Ae/Maint", "Hourly", "Nonexempt,
Littlefield-Lamb Co Ae/Maint (05LAMBCO)
1600 W DELANO
Littlefield, 79339

, Littlefield-Lamb Co Ae/Maint" ], "timestamp" : "2026-06-15T11:17:55.616", "fingerprint" : "700ff606b204eb1c6ec8a8fe2f427e968f2fdc35baaf5b67b99d580036977d50", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=43082", "externalId" : "43082", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Littlefield", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9189172,-102.3328360" } ], "locationText" : "Littlefield, Texas, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Gain hands-on experience in transportation engineering, Apply skills in real-world settings", "domainKnowledge" : "Transportation engineering", "domainList" : [ "transportation-engineering" ], "domainSpecificKnowledge" : [ "Transportation engineering" ], "qualificationsBasic" : "Enrolled in engineering or related science programs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Kickstart Your Engineering Journey with TxDOT! Looking to gain hands-on experience in transportation engineering while working alongside licensed professionals? The Texas Department of Transportation (TxDOT) Lubbock District's Littlefield Area Office is now accepting applications for Engineering Support Interns . This paid opportunity is ideal for students enrolled in engineering or related science programs who want to apply their skills in real-world settings. Internships are scheduled to begin in May 2026 and will run through the Summer 2026 . Positions may also be evaluated for continuation on a year-round basis , offering a valuable pathway to grow your career with TxDOT. 15.54 22.77", "summaryDescription" : "Intern Engineering Support at TxDOT. Gain hands-on experience in transportation engineering. Apply skills in real-world settings", "createdAt" : "2026-06-14T21:52:17.929", "lastUpdated" : "2026-06-15T11:17:55.616", "ingestTimestamp" : "2026-06-14T21:52:17.929", "mongoId" : "69dde4492beec4dd3d9a3367", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 31000, "salaryAnnualMax" : 45000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Transportation engineering" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7c1d74d8ee00a094c5b4", "title" : "Supplier Industrialization Engineering Intern (Fall 2026)", "company" : "Zipline", "industry" : "Manufacturing", "salary" : { "min" : 48000.0, "max" : 64000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level intern in the logistics industry in South San Francisco, adjusted for company size and seniority." }, "location" : "South San Francisco, California, United States", "locations" : [ "South San Francisco", "California", "United States" ], "timestamp" : "2026-06-15T08:44:40.374", "fingerprint" : "7164a03ac0cc494011bbae181b831c357b668a6ff8fbfdda0a99b11a48b53c53", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.zipline.com/careers?gh_jid=7766424003#open-roles", "externalId" : "7766424003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "South San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6535403,-122.4168664" } ], "locationText" : "South San Francisco, California, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "3D CAD, NX, GD&T", "professionalSkills" : [ "Design for Manufacturing", "Assembly process design", "Statistical quality control", "Root cause analysis", "Supplier evaluation", "Process implementation", "Fixture design", "Automation strategy", "Corrective actions", "Preventive actions", "Performance tracking", "Continuous improvement" ], "hardSkillsList" : [ "Manufacturing processes", "Assembly processes", "Quality control", "Root cause analysis", "CAPA techniques" ], "hardSkills" : [ { "name" : "Manufacturing processes", "level" : "intermediate" }, { "name" : "Assembly processes", "level" : "intermediate" }, { "name" : "Quality control", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "CAPA techniques", "level" : "intermediate" } ], "majorSkills" : "Supplier industrialization, Manufacturing operations, Quality assurance", "majorSkillsList" : [ "Supplier industrialization", "Manufacturing operations", "Quality assurance" ], "coreResponsibilities" : "Participate in DfX discussions, Assist with assembly line planning, Develop process documentation, Maintain process documentation, Provide training to operators, Support supplier evaluation, Support supplier qualification, Assist in implementing manufacturing processes, Design fixtures for assembly, Design fixtures for inspection, Propose automation strategies, Assist in root cause analysis, Implement corrective actions, Implement preventive actions, Monitor supplier performance, Track process performance, Generate performance reports, Assist in CI projects", "teamCollaboration" : "Internal and external stakeholders; Cross-functional stakeholders", "projectManagementSkills" : [ "APQP", "PPAP" ], "domainKnowledge" : "Design for Manufacturability; Assembly; Statistical Quality Control; Root Cause Analysis; Advanced Product Quality Planning; Production Part Approval Process; Problem Solving Frameworks; CAPA Techniques; Machining; Injection Molding; Sheet Metal Stamping; 3D Printing; PCBA Manufacturing; Mechanical Assembly; Electromechanical Assembly", "domainList" : [ "design-for-manufacturability", "assembly", "statistical-quality-control", "root-cause-analysis", "advanced-product-quality-planning", "production-part-approval-process", "problem-solving-frameworks", "capa-techniques", "machining", "injection-molding", "sheet-metal-stamping", "3d-printing", "pcba-manufacturing", "mechanical-assembly", "electromechanical-assembly" ], "domainSpecificKnowledge" : [ "Design for Manufacturability", "Assembly", "Statistical Quality Control", "Root Cause Analysis", "Advanced Product Quality Planning", "Production Part Approval Process", "Problem Solving Frameworks", "CAPA Techniques", "Machining", "Injection Molding", "Sheet Metal Stamping", "3D Printing", "PCBA Manufacturing", "Mechanical Assembly", "Electromechanical Assembly" ], "toolProficiency" : [ "NX" ], "documentationSkills" : "Process documentation; Manufacturing Process Flows; FMEAs; Control Plans; Work Instructions", "problemSolvingSkills" : "Root cause analysis; Problem solving", "outcomesObjectives" : "Meet quality targets; Meet cost targets; Meet delivery targets; Ensure consistent standards; Meet ZAP requirements; Improve efficiency; Improve reliability; Resolve quality issues; Prevent future occurrences; Drive continuous improvements; Enhance manufacturing processes; Reduce costs; Improve product quality", "qualificationsBasic" : "Completed second year undergraduate studies, Proficiency in 3D CAD Software, Ability to read Engineering Drawings, Understanding of manufacturing processes, Understanding of APQP, Understanding of PPAP, Understanding of Problem Solving Frameworks, Understanding of RCA/CAPA Techniques", "qualificationsPreferred" : "NX preferred, GD&T knowledge preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Zipline Zipline is the world’s largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world’s largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we’ve built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people’s lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. About The Supplier Industrialization Engineering Team Zipline is scaling drone production and flight operations by more than 20× over the next three years while maintaining best-in-class safety and reliability. You will own the entire supplier industrialization and supplier development engineering functions — building the team, processes, tools, and culture that make Zipline’s massive scale-up possible without compromising quality, delivery, or cost. The Role As an SIE Intern, the projects you undertake will be focused on the improvement of manufacturing operations & quality at critical Zipline suppliers. This involves working with internal & external cross-functional stakeholders on design for manufacturing & assembly, manufacturing process design & implementation, statistical quality control, and root cause analysis to ensure that Zipline suppliers can meet quality, cost & delivery targets set for them. What You'll Do Design for X (DfX) Discussions: Participate in DfX discussions with internal and external stakeholders to ensure designs are optimized for manufacturability, assembly, and efficiency across Zipline’s Top Level Assemblies (TLAs) and sub-assemblies. Assembly Line Management: Assist with the planning, budgeting, design, procurement, commissioning, and validation of assembly lines and associated equipment at Zipline for Product Validation Builds and mass production at contract manufacturers (CMs). Process Documentation & Training: Develop and maintain key process documentation such as Manufacturing Process Flows, FMEAs, Control Plans, and Work Instructions. Provide training to operators and quality teams to ensure consistent standards in manufacturing and assembly processes. Supplier Management & Qualification: Support in evaluating and qualifying new suppliers, ensuring they meet Zipline’s quality and production standards. Assist in implementing manufacturing processes at supplier facilities to meet the Zipline Approval Process (ZAP) requirements. Fixture Design & Automation: Design fixtures for assembly and inspection, and propose automation strategies to improve efficiency and reliability, both at Zipline and supplier facilities. Root Cause Analysis (RCA) & Corrective Actions: Assist in performing root cause analysis and implementing corrective and preventive actions (CAPA) to resolve quality issues, ensuring these actions are effectively implemented to prevent future occurrences. Supplier and Process Performance Tracking: Monitor and track Key Performance Indicators (KPIs) such as first-pass yield, on-time delivery, and cost of poor quality, generating regular reports for internal and external stakeholders to drive continuous improvements. Continuous Improvement Projects: Assist in Continuous Improvement (CI) projects to enhance manufacturing processes, reduce costs, and improve product quality at both Zipline and its supplier locations What You'll Bring Must have at least completed the second year of your Undergraduate studies. Masters and PhD students are also eligible. Proficiency in 3D CAD Software (NX preferred) & ability to read Engineering Drawings (with GD&T) Understanding of traditional & non-traditional manufacturing processes (Machining, Injection Molding, Sheet Metal Stamping, 3D Printing, PCBA Manufacturing, Mechanical or Electromechanical Assembly, etc.) Understanding of Advanced Product Quality Planning (APQP) & Production Part Approval Process (PPAP) Understanding of Problem Solving Frameworks (8D, FTA, Pareto Analysis, etc.) & RCA/ CAPA Techniques used within these frameworks Willingness to work in a super fast-paced environment that is in a constant state of evolution Be a student pursuing a(n) graduate/ undergraduate degree in one of the following concentrations: Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Industrial Engineering, Manufacturing Engineering, Physics, Chemistry, Statistics, Mathematics. What Else You Should Know Our internships are full-time positions, in-person at our South San Francisco office. We will host our Fall 2026 interns from September to December. Candidates are limited to three (3) applications within a 30-day period. Zipline is an equal opportunity employer 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 or our own sensibilities. Zipline is also committed to providing reasonable accommodations to individuals with disabilities. Please let your point of contact at Zipline know if you require any accommodations throughout your interview process.", "summaryDescription" : "Supplier Industrialization Engineering Intern (Fall 2026) at Zipline. Skills: Supplier industrialization, Manufacturing operations, Quality assurance. Participate in DfX discussions. Assist with assembly line planning", "postedDate" : "2026-06-14T08:19:43.382", "createdAt" : "2026-06-14T08:19:43.382", "lastUpdated" : "2026-06-15T08:44:40.374", "ingestTimestamp" : "2026-06-14T08:19:43.382", "mongoId" : "6a2c7c1d74d8ee00a094c5b4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 48000, "salaryAnnualMax" : 64000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Manufacturing processes", "Assembly processes", "Quality control", "Root cause analysis", "CAPA techniques", "Supplier industrialization", "Manufacturing operations", "Quality assurance", "Design for Manufacturing", "Assembly process design", "Statistical quality control", "Supplier evaluation", "Process implementation", "Fixture design", "Automation strategy", "Corrective actions", "Preventive actions", "Performance tracking", "Continuous improvement", "APQP", "PPAP", "Design for Manufacturability", "Assembly", "Statistical Quality Control", "Root Cause Analysis", "Advanced Product Quality Planning", "Production Part Approval Process", "Problem Solving Frameworks", "CAPA Techniques", "Machining", "Injection Molding", "Sheet Metal Stamping", "3D Printing", "PCBA Manufacturing", "Mechanical Assembly", "Electromechanical Assembly", "NX" ], "skillCount" : 37, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde4492beec4dd3d9a3351", "title" : "Engineering Support Intern", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 15.0, "max" : 19.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "UST-Texas-Plainview-Plainview-Hale Co Ae/Maint", "locations" : [ "UST-Texas-Plainview-Plainview-Hale Co Ae/Maint", "Hourly", "Nonexempt,
Plainview-Hale Co Ae/Maint (05HALECO)
3900 S BUS LOOP 27
Plainview, 79072

, Plainview-Hale Co Ae/Maint" ], "timestamp" : "2026-06-16T01:36:43.555", "fingerprint" : "1340bafd83daa6930006bccd42c6f848133e55e5a43e16d50cfd101638cfccf0", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=43222", "externalId" : "43222", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Plainview", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1847936,-101.7068410" } ], "locationText" : "Plainview, Texas, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Gain hands-on experience in transportation engineering, Apply skills in real-world settings", "teamCollaboration" : "Working alongside licensed professionals", "domainKnowledge" : "Transportation engineering", "domainList" : [ "transportation-engineering" ], "domainSpecificKnowledge" : [ "Transportation engineering" ], "continuousLearning" : "Pathway to grow career", "qualificationsBasic" : "Engineering or related science programs enrollment", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Kickstart Your Engineering Journey with TxDOT! Looking to gain hands-on experience in transportation engineering while working alongside licensed professionals? The Texas Department of Transportation (TxDOT) Lubbock District's Plainview Office is now accepting applications for Engineering Support Interns . This paid opportunity is ideal for students enrolled in engineering or related science programs who want to apply their skills in real-world settings. Internships are scheduled to begin in May 2026 and will run through the Summer 2026 . Positions may also be evaluated for continuation on a year-round basis , offering a valuable pathway to grow your career with TxDOT. 15.54 19.00", "summaryDescription" : "Engineering Support Intern at TxDOT. Gain hands-on experience in transportation engineering. Apply skills in real-world settings", "createdAt" : "2026-06-14T20:49:35.588", "lastUpdated" : "2026-06-16T01:36:43.555", "ingestTimestamp" : "2026-06-14T20:49:35.588", "mongoId" : "69dde4492beec4dd3d9a3351", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 31200, "salaryAnnualMax" : 39520, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Transportation engineering" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde4492beec4dd3d9a3287", "title" : "Intern Engineering Support", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 20.0, "max" : 20.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "UST-Texas-Belton-Belton Area Office", "locations" : [ "UST-Texas-Belton-Belton Area Office", "Hourly", "Nonexempt,
Belton Area Office (09BELLCO)
410 W LOOP 121
Belton, 76513

, Belton Area Office" ], "timestamp" : "2026-06-16T01:18:18.989", "fingerprint" : "583804c535a24fa7d3304957ff705d79fbb48c404cb3fb3b2be0b974678fb95d", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=43924", "externalId" : "43924", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Belton", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "31.0560132,-97.4644530" } ], "locationText" : "Belton, Texas, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Assist in transportation engineering support, Perform construction inspection, Perform maintenance inspection, Perform structural construction, Perform structural maintenance, Perform laboratory work, Perform landscaping, Perform surveying, Perform engineering data collection, Operate data collection equipment, Perform entry-level engineering support work", "domainKnowledge" : "Transportation engineering", "domainList" : [ "transportation-engineering" ], "domainSpecificKnowledge" : [ "Transportation engineering" ], "qualificationsBasic" : "16 years old, U. S. Citizen or eligible to work, Currently enrolled student", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "TxDOT's Waco District has a job opening for a Year-Round Intern Engineering Support Tech at our Belton Area Office! Annually, over 500 College and High School students from across Texas and beyond select the Texas Department of Transportation as their employer of choice. A paid internship is a great opportunity to explore what TxDOT has to offer, expand your knowledge and skills, and possibly serve as a gateway to future job opportunities with the agency. Many students choose to join our team while they complete their college education. Engineering Support Techs assists in transportation engineering support work such as construction or maintenance inspection, structural construction or maintenance, laboratory work, landscaping, surveying, or engineering data collection, operating data collection equipment, and other entry-level engineering support work. Employees at this level perform assignments following specific instructions and are subject to frequent review by the immediate supervisor. To qualify, students must: • Must be 16 years old • Be a U.S. Citizen or be eligible to work in the U.S. • Be currently enrolled as a student at a high school, technical school, college or university. Work Location(s): • Belton Area Office: 410 W. Loop 121, Belton, TX 76513 Salary Plan/Grade • Intern Engineering Support: A11 ($20.44/Hourly) 20.44 20.44", "summaryDescription" : "Intern Engineering Support at TxDOT. Assist in transportation engineering support. Perform construction inspection", "createdAt" : "2026-06-14T20:42:35.298", "lastUpdated" : "2026-06-16T01:18:18.989", "ingestTimestamp" : "2026-06-14T20:42:35.298", "mongoId" : "69dde4492beec4dd3d9a3287", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 41600, "salaryAnnualMax" : 41600, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Transportation engineering" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde4492beec4dd3d9a3361", "title" : "Intern Engineering Support", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 35000.0, "max" : 45000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an Entry level Intern Engineering Support role in Lubbock, Texas, adjusted for the government industry." }, "location" : "UST-Texas-Lubbock-Lubbock District Headquarters", "locations" : [ "UST-Texas-Lubbock-Lubbock District Headquarters", "Hourly", "Nonexempt,
Lubbock District Headquarters (05DISTHQ)
135 SLATON ROAD
Lubbock, 79404

, Lubbock District Headquarters" ], "timestamp" : "2026-06-16T01:25:07.482", "fingerprint" : "ae5b8f68b3a00ccf84d566e1fc182d2e6de6cd8744ed6f70001f4a0b7746b91f", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=43029", "externalId" : "43029", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lubbock", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.5855677,-101.8470215" } ], "locationText" : "Lubbock, Texas, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Gain hands-on experience, Apply skills in real-world settings", "domainKnowledge" : "Transportation engineering", "domainList" : [ "transportation-engineering" ], "domainSpecificKnowledge" : [ "Transportation engineering" ], "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Kickstart Your Engineering Journey with TxDOT! Looking to gain hands-on experience in transportation engineering while working alongside licensed professionals? The Texas Department of Transportation (TxDOT) Lubbock District's Construction Office is now accepting applications for Engineering Support Interns . This paid opportunity is ideal for students enrolled in engineering or related science programs who want to apply their skills in real-world settings. Internships are scheduled to begin in May 2026 and will run through the Summer 2026 . Positions may also be evaluated for continuation on a year-round basis , offering a valuable pathway to grow your career with TxDOT. 15.54 22.77", "summaryDescription" : "Intern Engineering Support at TxDOT. Gain hands-on experience. Apply skills in real-world settings", "createdAt" : "2026-06-14T20:42:01.514", "lastUpdated" : "2026-06-16T01:25:07.482", "ingestTimestamp" : "2026-06-14T20:42:01.514", "mongoId" : "69dde4492beec4dd3d9a3361", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 35000, "salaryAnnualMax" : 45000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Transportation engineering" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde4492beec4dd3d9a3264", "title" : "Intern Engineering Support", "company" : "Texas Department of Transportation", "industry" : "Government", "salary" : { "min" : 21.0, "max" : 21.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "UST-Texas-Alpine-El Paso - Alpine", "locations" : [ "UST-Texas-Alpine-El Paso - Alpine", "Hourly", "Nonexempt,
El Paso - Alpine (24ALPINE)
2400 N HWY 118
Alpine, 79830

, El Paso - Alpine" ], "timestamp" : "2026-06-16T01:36:50.396", "fingerprint" : "fcecebd1b79e8f7db5e99550ec1653353e8d47984f85736fd6bacda4ad94f10e", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=44019", "externalId" : "44019", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Alpine", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.3602181,-103.6628596" } ], "locationText" : "Alpine, Texas, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Work, engineers and contractors, Gain hands-on experience on real world projects, Make a meaningful impact on public safety and, Learn and explore, Help shape the future of transportation", "domainKnowledge" : "Transportation infrastructure", "domainList" : [ "transportation-infrastructure" ], "domainSpecificKnowledge" : [ "Transportation infrastructure" ], "qualificationsBasic" : "At least 16 years old, U. S. Citizen or eligible to work, Currently enrolled in at least 9 credit hours, Engineering or related science degree program, Accredited college or university accepted by TX PELS", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Launch your engineering career where big skies meet bold infrastructure. The Texas Department of Transportation (TxDOT) is seeking a motivated and curious engineer student intern to join our Alpine Area Office, serving the unique and expansive landscapes of West Texas. This is more than an internship-It's a chance to work alongside other engineers and contractors on real world projects that keep communities connected across miles of highways, rural roads, and desert terrain. You'll gain hands-on experience while making a meaningful impact on public safety and mobility. If you're ready to learn, explore, and help shape the future of transportation in one of Texas's most distinctive regions, we invite you to bring your ambition to Alpine. To qualify, students must be: - At least 16 years old - A U.S. Citizen or be eligible to work in the U.S., - Currently enrolled in at least 9 credit hours as a student in an engineering or related science degree program in an accredited college or university accepted by TX PELS. Apply today for this great opportunity! Salary Range: Intern Engineering Support - A11 - $21.44 21.44 21.44", "summaryDescription" : "Intern Engineering Support at Texas Department of Transportation. Work. engineers and contractors", "createdAt" : "2026-06-14T19:54:56.692", "lastUpdated" : "2026-06-16T01:36:50.396", "ingestTimestamp" : "2026-06-14T19:54:56.692", "mongoId" : "69dde4492beec4dd3d9a3264", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 43680, "salaryAnnualMax" : 43680, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Transportation infrastructure" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde4492beec4dd3d9a3304", "title" : "Intern Engineering Support", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 15.0, "max" : 22.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "UST-Texas-Lubbock-Lubbock District Headquarters", "locations" : [ "UST-Texas-Lubbock-Lubbock District Headquarters", "Hourly", "Nonexempt,
Lubbock District Headquarters (05DISTHQ)
135 SLATON ROAD
Lubbock, 79404

, Lubbock District Headquarters" ], "timestamp" : "2026-06-16T01:12:50.252", "fingerprint" : "01f8f1a62ef074960b58fa911c5a3f03259c24240a80ccc0c148401c8591c1c2", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=43757", "externalId" : "43757", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lubbock", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.5855677,-101.8470215" } ], "locationText" : "Lubbock, Texas, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Structural engineering", "Bridge design" ], "majorSkills" : "Bridge design, Structural engineering", "majorSkillsList" : [ "Bridge design", "Structural engineering" ], "coreResponsibilities" : "Assist Bridge Office with design-related work", "domainKnowledge" : "Transportation engineering; Bridge design processes", "domainList" : [ "transportation-engineering", "bridge-design-processes" ], "domainSpecificKnowledge" : [ "Transportation engineering", "Bridge design processes" ], "qualificationsBasic" : "Engineering or related science program enrollment", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } Kickstart Your Engineering Journey with TxDOT! Looking to gain hands-on experience in transportation engineering while working alongside licensed professionals? The Texas Department of Transportation (TxDOT) Lubbock District is now accepting applications for Engineering Support Interns . This paid opportunity is ideal for students enrolled in engineering or related science programs who want to apply their skills in real‑world settings. This intern will assist the Bridge Office with design-related work , offering valuable exposure to structural engineering and bridge design processes. Internships are scheduled to begin in May 2026 and will run through Summer 2026 . Positions may also be evaluated for continuation on a year‑round basis , providing a strong pathway to grow your career with TxDOT. 15.00 22.00", "summaryDescription" : "Intern Engineering Support at TxDOT. Skills: Bridge design, Structural engineering. Assist Bridge Office with design-related work", "createdAt" : "2026-06-14T19:54:51.540", "lastUpdated" : "2026-06-16T01:12:50.252", "ingestTimestamp" : "2026-06-14T19:54:51.540", "mongoId" : "69dde4492beec4dd3d9a3304", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 31200, "salaryAnnualMax" : 45760, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Bridge design", "Structural engineering", "Transportation engineering", "Bridge design processes" ], "skillCount" : 4, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde4492beec4dd3d9a333e", "title" : "Intern Engineering Support", "company" : "TxDOT Atlanta District", "industry" : "Government", "salary" : { "min" : 35000.0, "max" : 50000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Engineering Support Intern in the United States, adjusted for government industry and typical internship compensation ranges." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations", "Hourly", "Nonexempt,
Atlanta District Headquarters (19DISTHQ)
701 EAST MAIN ST
Atlanta, 75551

Texarkana Area Office/Mnt Sect (19BOWIECO)
520 SOWELL LANE
Texarkana, 75501

Marshall Area Office/Maint Sec (19HARRISCO)
300 EAST LOOP 390 N
Marshall, 75670

Mt Pleasant Area Office/Mnt Se (19TITUSCO)
2210 FERGUSON ROAD
Mount Pleasant, 754560891

, Atlanta District Headquarters" ], "timestamp" : "2026-06-16T03:03:58.660", "fingerprint" : "4f6eeae96ecd028f383fa78581f824ee923b418739f4218927a11a1b86fa1fe6", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=43336", "externalId" : "43336", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Plan transportation system, Design transportation system, Build transportation system, Operate transportation system, Maintain transportation system, Support occupations", "domainKnowledge" : "Transportation system", "domainList" : [ "transportation-system" ], "domainSpecificKnowledge" : [ "Transportation system" ], "continuousLearning" : "Training sessions; Access to resources", "outcomesObjectives" : "Contribute to success of TxDOT’s Mission", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The TxDOT Atlanta District is seeking Engineering Support Interns to work in the following locations: Atlanta District Headquarters, Texarkana Area Office, Marshall Area Office, and Mount Pleasant Area Office. The Atlanta District plans, designs, builds, operates, and maintains the state transportation system in the following counties: Bowie, Camp, Cass, Harrison, Marion, Morris, Panola, Titus, and Upshur. TxDOT’s Internship Program is designed for high school and college students seeking to be introduced to career opportunities and gain practical work experience in transportation-related fields and support occupations. Why intern with us? Real-world impact: dive into impactful work that contributes to the success of TxDOT’s Mission: Connecting you with Texas Practical career experience: acquire unique experience while performing meaningful work on projects and tasks that contribute to the Department’s success Continuous learning: participate in training sessions and gain access to resources that will enhance your skills and knowledge Statewide connections: build a network of other interns in your field and professionals from diverse backgrounds and connect with experts from around the state of Texas 15.85 23.21", "summaryDescription" : "Intern Engineering Support at TxDOT Atlanta District. Plan transportation system. Design transportation system", "createdAt" : "2026-06-14T19:54:24.488", "lastUpdated" : "2026-06-16T03:03:58.660", "ingestTimestamp" : "2026-06-14T19:54:24.488", "mongoId" : "69dde4492beec4dd3d9a333e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 35000, "salaryAnnualMax" : 50000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Transportation system" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde4492beec4dd3d9a32eb", "title" : "Intern Engineering Support", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 35000.0, "max" : 45000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Engineering Support Intern in Junction, TX, adjusted for government industry and company size." }, "location" : "UST-Texas-Junction-Junction Area Office", "locations" : [ "UST-Texas-Junction-Junction Area Office", "Hourly", "Nonexempt,
Junction Area Office (07JUNCTAO)
2124 N MAIN
Junction, 76849

, Junction Area Office" ], "timestamp" : "2026-06-16T02:19:26.163", "fingerprint" : "de7834657627fc619f00be051d96cd078f41b9df1a0e28d1540ca3b6cc979c96", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=43756", "externalId" : "43756", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Junction", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.4893555,-99.7720109" } ], "locationText" : "Junction, Texas, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Perform construction inspection, Perform maintenance inspection, Perform laboratory work, Perform surveying, Collect engineering data, Learn roadway design concepts, Provide entry-level engineering support", "domainKnowledge" : "Roadway design", "domainList" : [ "roadway-design" ], "domainSpecificKnowledge" : [ "Roadway design" ], "qualificationsBasic" : "At least 18 years old, U. S. citizen or eligible to work, Enrolled in engineering or related science degree program", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "TxDOT's San Angelo District is looking for Engineering Interns in the Junction Area Office. Office is located at 2124 N Main, Junction, TX. This position is for internships during the months of May-August with the potential for year-round part-time employment. Duties for this position may include construction or maintenance inspection, laboratory work, surveying, engineering data collection, learning basic roadway design concepts, and other entry-level engineering support work. This internship will provide current high school and college students the opportunity to gain valuable hands-on experience while earning a competitive salary. At TxDOT, you will join a diverse workforce that is passionate about their careers and serving the citizens of Texas. A paid internship is a great opportunity to explore what TxDOT has to offer and to expand your knowledge acquired from school. It can also serve as a gateway to future job opportunities with the agency. It is no surprise that many students choose to come back to TxDOT year-after-year to rejoin our team. Make the choice to join TxDOT today! To qualify, students must: Be at least 18 years old at time of hire Be a U.S. citizen or be eligible to work in the U.S. Enrolled in an engineering or related science degree program in an accredited college or university accepted by TX PELS. 15.54 22.76", "summaryDescription" : "Intern Engineering Support at TxDOT. Perform construction inspection. Perform maintenance inspection", "createdAt" : "2026-06-14T19:47:56.608", "lastUpdated" : "2026-06-16T02:19:26.163", "ingestTimestamp" : "2026-06-14T19:47:56.608", "mongoId" : "69dde4492beec4dd3d9a32eb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 35000, "salaryAnnualMax" : 45000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Roadway design" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde4492beec4dd3d9a3350", "title" : "Intern Engineering Support", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 35000.0, "max" : 50000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level engineering support intern in Austin, TX, adjusted for government industry and company size." }, "location" : "UST-Texas-Austin-Stassney Hq - Main", "locations" : [ "UST-Texas-Austin-Stassney Hq - Main", "Hourly", "Nonexempt,
Stassney Hq - Main (SHQMAIN)
6230 East Stassney Lane
Austin, 78744

, Stassney Hq - Main" ], "timestamp" : "2026-06-16T06:15:15.398", "fingerprint" : "4e60096b3f38720f464cb971935030136aebc686e450daf0f708223cafc9305e", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=42990", "externalId" : "42990", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "softSkillsList" : [ "Curious", "Structured" ], "softSkills" : [ { "name" : "Curious" }, { "name" : "Structured" } ], "coreResponsibilities" : "Help work on projects", "domainKnowledge" : "Road maintenance", "domainList" : [ "road-maintenance" ], "domainSpecificKnowledge" : [ "Road maintenance" ], "continuousLearning" : "Learn about inner workings", "problemSolvingSkills" : "Thorough analysis", "outcomesObjectives" : "Improve statewide decision making; Improve statewide operations", "qualificationsBasic" : "Thorough analysis, Engineering insight", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you interested in an internship to improve the roads you drive on? Working in the Maintenance Division at TxDOT may be the job for you! We are seeking self-motivated, curious, and structured candidates. Candidates will help work on much needed projects that require thorough analysis and engineering insight that a fresh prospective can provide. Your work will directly improve statewide decision making and operations. You will work at the new TxDOT Stassney campus, located at 6230 E Stassney Ln, Austin, TX 78744, in a modern work environment. The campus has many amenities including an on-site gym, food services, and outdoor trails. As the headquarters to all the divisions, you will have many opportunities to learn about all the inner workings at TxDOT. This intern position will primarily work the months of May 2026 - August 2026 with the potential to work year-round. 15.54 22.76", "summaryDescription" : "Intern Engineering Support at TxDOT. Help work on projects", "createdAt" : "2026-06-14T19:40:29.513", "lastUpdated" : "2026-06-16T06:15:15.398", "ingestTimestamp" : "2026-06-14T19:40:29.513", "mongoId" : "69dde4492beec4dd3d9a3350", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 35000, "salaryAnnualMax" : 50000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Curious", "Structured", "Road maintenance" ], "skillCount" : 3, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca12f74d8ee00a09a4adf", "title" : "Software Engineering Intern", "company" : "Nox Metals", "industry" : "Engineering", "salary" : { "min" : 4000.0, "max" : 6000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "US/Canada", "locations" : [ "US/Canada" ], "timestamp" : "2026-06-16T03:02:34.394", "fingerprint" : "3c0dd17ef61b42c58ba5ea3f5939ee8485237ccf9b01c7762a62b511219db7b1", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/nox-metals/6edc2dff-7c4b-44b8-abba-32d5953b8c5f/application", "externalId" : "6edc2dff-7c4b-44b8-abba-32d5953b8c5f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Detroit", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3315509,-83.0466403" }, { "city" : "Windsor", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.2858536,-82.9780695" }, { "workMode" : "remote" } ], "locationText" : "Detroit, Michigan, United States; Windsor, Ontario, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, TypeScript, React, Next.js, Node.js, FastAPI, PostgreSQL, Docker, AWS", "professionalSkills" : [ "System design", "Problem solving" ], "hardSkillsList" : [ "Data structures", "Algorithms", "Web systems", "Distributed systems" ], "softSkillsList" : [ "High agency", "Low ego", "Customer obsessed" ], "hardSkills" : [ { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Web systems", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "High agency" }, { "name" : "Low ego" }, { "name" : "Customer obsessed" } ], "majorSkills" : "Software development, Factory automation", "majorSkillsList" : [ "Software development", "Factory automation" ], "coreResponsibilities" : "Design features, Build features, Test features, Ship features, Write code, Deploy code, Control metal cutting, Track metal delivery, Debug production systems, Profile production systems, Harden production systems, Take big problems, Own problems end to end", "teamCollaboration" : "Sit next to engineers; Sit next to operators", "projectManagementSkills" : [ "Own projects" ], "domainKnowledge" : "Supply chain; Manufacturing automation", "domainList" : [ "supply-chain", "manufacturing-automation" ], "domainSpecificKnowledge" : [ "Supply chain", "Manufacturing automation" ], "toolProficiency" : [ "Git", "AI tools" ], "innovationCreativity" : "Hunt for faster ways", "problemSolvingSkills" : "Debug production systems; Profile production systems; Harden production systems", "specialRequirements" : "Work outside normal hours", "outcomesObjectives" : "Ship code to production; Control how metal gets cut", "qualificationsBasic" : "Pursuing degree in CS or related, Knowledge of data structures, Knowledge of algorithms, Proficient in one language, Comfortable with Git, Understand web systems, Understand distributed systems, Fast, organized, high agency, Cracked with AI tools, Low ego, Customer obsessed, Willing to work outside normal hours", "qualificationsPreferred" : "Experience with Python, Experience with TypeScript, Experience with React, Experience with Next.js, Experience with Node.js, Experience with FastAPI, Experience with PostgreSQL, Experience with Docker, Experience with AWS", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "American factories deserve a supply chain that moves as fast as they do. The next generation of American manufacturing is being built right now. Nox Metals is the supply chain behind it. We use software and automation to supply metal to American factories faster than the industry thought possible. Nox Metals went thru YC Summer 2025. Software Engineer Intern This is a real software engineering internship. You will own meaningful projects from design to deployment, and the code you write will run on the factory floor. No coffee runs, no shadowing. Your work ships to production and controls how real metal gets cut on real machines. You will: - Design, build, test, and ship features across the systems that run our factory, from the floor command center to the nesting engine to the customer portal - Write code that deploys to the floor and controls how metal gets cut, tracked, and delivered - Debug, profile, and harden production systems that cannot go down in the middle of a shift - Sit next to the engineers and operators running the machines and watch your software hit the real world the same day you ship it - Take big problems off senior engineers' plates and own them end to end You should be: - Pursuing a degree in computer science, software engineering, or a related field, or able to prove you can build without one - Strong in data structures, algorithms, and at least one language (Python, TypeScript, Go, C++, whatever you reach for) - Comfortable with Git and the basics of how web and distributed systems work - Fast, organized, and high agency, able to take a big item and run it down alone while asking for help when you need it - Cracked with AI tools and always hunting for a faster way to do the work - Low ego, customer obsessed, and never the person who says \"that's not my job\" - Willing to work outside normal hours when the floor needs it Our stack: Python, TypeScript, React, Next.js, Node.js, FastAPI, PostgreSQL, Docker, and AWS. You will not know all of it. We will teach you what you do not. This role is full time, in person in Detroit. We are open to in person Windsor or Remote.", "summaryDescription" : "Software Engineering Intern at Nox Metals. Skills: Software development, Factory automation. Design features. Build features", "createdAt" : "2026-06-14T19:21:51.707", "lastUpdated" : "2026-06-16T03:02:34.394", "ingestTimestamp" : "2026-06-14T19:21:51.707", "mongoId" : "6a2ca12f74d8ee00a09a4adf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 4000, "salaryAnnualMax" : 6000, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Data structures", "Algorithms", "Web systems", "Distributed systems", "High agency", "Low ego", "Customer obsessed", "Software development", "Factory automation", "System design", "Problem solving", "Own projects", "Supply chain", "Manufacturing automation", "Git", "AI tools" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cb01a74d8ee00a09d8d0b", "title" : "Software Engineering Intern", "company" : "Beacon Software", "industry" : "Engineering", "location" : "San Francisco, CA", "locations" : [ "San Francisco, CA" ], "certifications" : [ ], "timestamp" : "2026-06-15T11:26:14.416", "fingerprint" : "ff34bb03afa79a41d7e1fb0d412f7284f0fd3feda4865532bab6833add4338ed", "source" : "ashby", "applyUrl" : "https://jobs.ashbyhq.com/beaconsoftware/2452d342-a069-4eda-adbe-9df296808ca1/application", "externalId" : "2452d342-a069-4eda-adbe-9df296808ca1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "TypeScript, Python, Go, Postgres", "professionalSkills" : [ "Curious about data systems, APIs, and the practical mechanics of LLM-driven applications." ], "hardSkillsList" : [ "TypeScript", "Python", "Go" ], "softSkillsList" : [ "Curious" ], "hardSkills" : [ { "name" : "TypeScript", "level" : "intermediate" }, { "name" : "Python", "level" : "intermediate" }, { "name" : "Go", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" } ], "majorSkills" : "TypeScript, Python, Go, LLM-powered internal tools, System design", "majorSkillsList" : [ "TypeScript, Python, Go, LLM-powered internal tools, System design" ], "coreResponsibilities" : "Ship production code into Beacon's internal platform. Build integrations between portco source systems and our central data platform. Prototype and ship LLM-powered internal tools.", "teamCollaboration" : "Work directly with senior engineers, including our CTO and Staff Engineers, on code review, system design, and technical decision-making. Pair with the operations team to understand the problem before writing the code.", "toolProficiency" : [ "QuickBooks, HubSpot, Salesforce, Stripe, dbt, Snowflake, Databricks, OpenAI, Anthropic" ], "communicationSkills" : "Written communicator", "documentationSkills" : "Design docs; PR descriptions", "continuousLearning" : "We have beliefs which are weakly held. We actively seek new ideas and believe we can learn from anyone at any time.", "problemSolvingSkills" : "System design", "specialRequirements" : "Remote-friendly, with travel to Beacon HQ in Toronto for onboarding and key in-person sessions.", "outcomesObjectives" : "We seek to build a generational software company. This will take decades. We manage our expectations and those of our partners to take advantage of the 8th wonder of the world - compounding growth.", "qualificationsBasic" : "Currently enrolled in a Software Engineering, Computer Science, Computer Engineering, or related undergrad or graduate program. Comfortable writing production-quality code in at least one of TypeScript, Python, or Go. Comfortable working in someone else's codebase.", "qualificationsPreferred" : "Prior co-op or internship experience shipping production software. Exposure to modern data tooling (dbt, Snowflake, Databricks, Postgres at scale). Experience with LLM APIs (OpenAI, Anthropic) or agentic workflow frameworks. Side projects or open-source contributions that demonstrate independent technical curiosity.", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT BEACON SOFTWARE Beacon https://beaconsoftware.com is acquiring and operating a portfolio of vertical SaaS companies. Most private equity firms scale by adding people. We are building Beacon to scale by adding software. The thesis is simple: portfolio operations, value creation, and deal sourcing are bottlenecked by human attention, and an agentic operating system can lift that ceiling by an order of magnitude. We are building that system. It has two pieces. A sensing layer is a cross-portfolio data lake on open table formats with a feature store on top that makes the data agent-readable. An action layer runs workflows across three domains: how we run the portfolio, how we grow the portfolio, and how we acquire into it. Underneath both sits a feedback loop that captures every action and outcome with stable identifiers. ABOUT THE ROLE We are hiring a Software Engineering Intern to join the Beacon HQ engineering team for the Fall 2026 co-op term. You will work directly with our senior engineers on the platforms that power how we operate the portfolio: data ingestion across 25+ portcos, internal tools used by our operating team every day, and AI-powered workflows that we are embedding into both Beacon HQ and the portfolio products themselves. This is not a fetch-coffee internship. We are a small team and interns ship real code into production. Past interns have owned services end-to-end, written features that the entire operating team now depends on, and built tooling that meaningfully changed how a specific portco runs. The bar is high. The autonomy is real. WHAT YOU'LL DO - Ship production code into Beacon's internal platform. You will own a meaningful piece of work end-to-end, from design through deployment. - Build integrations between portco source systems (QuickBooks, HubSpot, Salesforce, Stripe, Postgres, and similar) and our central data platform. - Prototype and ship LLM-powered internal tools that our operating team uses to manage the portfolio. - Work directly with senior engineers, including our CTO and Staff Engineers, on code review, system design, and technical decision-making. - Pair with the operations team to understand the problem before writing the code. Engineering at Beacon is operator-facing, and you will learn how to ship software that someone actually uses. WHO YOU ARE - Currently enrolled in a Software Engineering, Computer Science, Computer Engineering, or related undergrad or graduate program. - Comfortable writing production-quality code in at least one of TypeScript, Python, or Go. You do not need to know all three, but you should be able to pick up a new language quickly. - Comfortable working in someone else's codebase. You can read code as well as you write it. - Curious about data systems, APIs, and the practical mechanics of LLM-driven applications. Prior exposure is a plus but not required. - Strong written communicator. Beacon runs on writing, and interns are expected to write design docs, PR descriptions, and updates that hold up to senior review. - Operator instincts. You take the time to understand the problem before reaching for a solution. BONUS POINTS - Prior co-op or internship experience shipping production software. - Exposure to modern data tooling (dbt, Snowflake, Databricks, Postgres at scale). - Experience with LLM APIs (OpenAI, Anthropic) or agentic workflow frameworks. - Side projects or open-source contributions that demonstrate independent technical curiosity. WHAT WE OFFER - Direct mentorship from senior engineers and the Beacon CTO. - Real ownership. You will ship code that the operating team depends on, not throwaway prototypes. - Exposure to a unique operational problem: building software that scales across a portfolio of very different businesses. - Competitive co-op compensation. - Remote-friendly, with travel to Beacon HQ in Toronto for onboarding and key in-person sessions. Our Values at Beacon Software - Humility: We acknowledge that the path to getting to the right answer involves being wrong along the way. We have strong beliefs which are weakly held. We actively seek new ideas and believe we can learn from anyone at any time. - Honesty: We are truth seeking in our approach to business problems. Business is a repeat game and we believe that human relationships generate alpha. We understand that trust is earned over a lifetime and can be lost in an instant. - Hunger: We play to win. We hold ourselves to high standards and will not be outworked. We take pride in having a deep sense of responsibility to ourselves, each other, our partners, and our customers. We believe to whom much is given much is expected. - Horizon: We seek to build a generational software company. This will take decades. We manage our expectations and those of our partners to take advantage of the 8th wonder of the world - compounding growth. How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Beacon Software uses Artificial Intelligence and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role. AI does not make hiring decisions: Every application is reviewed by a member of our team, and all decisions throughout the process are made by humans. We use AI to support efficiency and consistency, not to replace human judgment. We are committed to a fair, thoughtful, and equitable experience for every candidate.", "summaryDescription" : "Software Engineering Intern at Beacon Software. Skills: TypeScript, Python, Go, LLM-powered internal tools, System design. Ship production code into Beacon's internal platform. Build integrations between portco source systems and our central data platform. Prototype and ship LLM-powered internal tools.", "createdAt" : "2026-06-14T21:41:58.331", "lastUpdated" : "2026-06-15T11:26:14.416", "ingestTimestamp" : "2026-06-14T21:41:58.331", "mongoId" : "6a2cb01a74d8ee00a09d8d0b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "TypeScript", "Python", "Go", "Curious", "TypeScript, Python, Go, LLM-powered internal tools, System design", "Curious about data systems, APIs, and the practical mechanics of LLM-driven applications.", "QuickBooks, HubSpot, Salesforce, Stripe, dbt, Snowflake, Databricks, OpenAI, Anthropic" ], "skillCount" : 7, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "694ae71c70f0b99d589b594f", "title" : "Intern Engineering Support", "company" : "TxDOT", "location" : "Multiple Locations", "locations" : [ "Multiple Locations", "Hourly", "Nonexempt,
Laredo District Headquarters (22DISTHQ)
1817 BOB BULLOCK LOOP
Laredo, 78043

Del Rio Area Engr/Maint Sect (22VALVRDCO)
319 E GIBBS ST
Del Rio, 78840

Carrizo Springs Ae/Maint Sect (22DIMMITCO)
2001 N FIRST STREET
Carrizo Springs, 78834

, Laredo District Headquarters" ], "timestamp" : "2026-06-15T10:17:43.536", "fingerprint" : "3c65eb71b62cab97fa5fe9a23f4c3c54d820c95c2e4a312b4beac182651cd98d", "source" : "taleo", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=42459", "externalId" : "42459", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Laredo", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" }, { "city" : "Del Rio", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" }, { "city" : "Carrizo Springs", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Laredo, Texas, United States; Del Rio, Texas, United States; Carrizo Springs, Texas, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "High School", "experienceMinYears" : 0, "experienceMaxYears" : 1, "experienceLevel" : "Entry", "professionalSkills" : [ "Engineering or related science degree program." ], "coreResponsibilities" : "Support the Laredo district, Laredo, Del Rio and Carrizo Springs Area offices. Develop and enhance job skills through practical application in projects serving the rapidly expanding border district.", "teamCollaboration" : "Work with skilled and licensed professionals.", "continuousLearning" : "Develop and enhance job skills through practical application.", "specialRequirements" : "Summer program will run from May 2026 till August 15th 2026.", "qualificationsBasic" : "Must be enrolled in high school or in an engineering or related science degree program.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "TxDOT's Laredo District is excited to announce our Summer/ Year round intern program!!!! We are looking for a few Intern Engineering Support Technicians to support the Laredo district, Laredo, Del Rio and Carrizo Springs Area offices. These interns must be enrolled in high school or in an engineering or related science degree program. This position will offer the opportunity to gain valuable work experience, a great opportunity to explore what TxDOT has to offer, expand your knowledge and skills, and possibly serve as a gateway to a future career with the agency. At TxDOT you will work with skilled and licensed professionals to develop and enhance job skills through practical application in projects serving the rapidly expanding border district. The summer program will run from May 2026 till August 15th 2026. Job Code: S063 Job Title: Intern Engineering Support State Code: 2119 State Title: Engineering Aide Salary Group: A11 FLSA Status: Non-Exempt Hourly Rate: $19.00 19.00 19.00", "summaryDescription" : "Intern Engineering Support at TxDOT. Support the Laredo district, Laredo, Del Rio and Carrizo Springs Area offices. Develop and enhance job skills through practical application in projects serving the rapidly expanding border district.", "createdAt" : "2026-06-14T21:27:33.809", "lastUpdated" : "2026-06-15T10:17:43.536", "ingestTimestamp" : "2026-06-14T21:27:33.809", "mongoId" : "694ae71c70f0b99d589b594f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Engineering or related science degree program." ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde4492beec4dd3d9a3347", "title" : "Intern Engineering Support", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 1900.0, "max" : 2188.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "UST-Texas-Sherman-Sherman/Grayson Co Ae/Maint", "locations" : [ "UST-Texas-Sherman-Sherman/Grayson Co Ae/Maint", "Hourly", "Nonexempt,
Sherman/Grayson Co Ae/Maint (01GRAYSNCO)
3904 US 75 SOUTH
Sherman, 75090-0517

, Sherman/Grayson Co Ae/Maint" ], "timestamp" : "2026-06-16T01:04:25.614", "fingerprint" : "e9d39b5ef8f3e33a11394006be6e1f6c7f6640d49634fe8155ec7bfab7e6366d", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=43308", "externalId" : "43308", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sherman", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.2452294,-101.8858689" } ], "locationText" : "Sherman, Texas, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Gain valuable paid hands-on experience, Explore what TxDOT has to offer, Expand knowledge acquired from school, Serve as gateway to future job opportunities", "continuousLearning" : "Expand knowledge acquired from school", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "TxDOT is excited to announce internship positions in the Paris District that will primarily work the months of May through August. This position is located at the Sherman Area Office. Annually we hire over 1,000 College and High School students from across Texas and beyond to be a part of the Texas Department of Transportation. Many of the TxDOT Executive Leadership team and District Leadership team were also paid interns at one time. A paid internship is a great opportunity to: explore what TxDOT has to offer to the citizens of Texas, expand your knowledge acquired from school, and possibly serve as a gateway to future job opportunities with the agency. Many of the students choose to come back to TxDOT year-after-year to rejoin our team. TxDOT’s Employment Program provides current high school and college students the opportunity to gain valuable paid hands-on experience. You have nothing to lose and lots to gain such as invaluable work experience that can carry you into the future. Make the choice and join TxDOT for your brighter tomorrow today. 19.00 21.88", "summaryDescription" : "Intern Engineering Support at TxDOT. Gain valuable paid hands-on experience. Explore what TxDOT has to offer", "createdAt" : "2026-06-14T20:42:35.290", "lastUpdated" : "2026-06-16T01:04:25.614", "ingestTimestamp" : "2026-06-14T20:42:35.290", "mongoId" : "69dde4492beec4dd3d9a3347", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 3952000, "salaryAnnualMax" : 4551040, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.9 }, { "id" : "6a3055f5f292fd229cf2360d", "title" : "Sr/Lead AI Backend Data Engineering - GenAI", "company" : "FICO", "salary" : { "min" : 140000.0, "max" : 140000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Work from Home, United States", "locations" : [ "Work from Home, United States", "United States of America" ], "timestamp" : "2026-06-16T15:06:50.768", "fingerprint" : "2991cf46031b9a1732134d3ad307d132073705171cf29a3088a41e8021951fc7", "source" : "workday", "language" : "en", "applyUrl" : "https://fico.wd1.myworkdayjobs.com/External/job/Work-from-Home-United-States/Sr-Lead-AI-Backend-Data-Engineering---GenAI_31937", "externalId" : "31937", "industryFunction" : { }, "locationPoint" : "47.27482,-122.76375", "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "**FICO (NYSE: FICO)** is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential! **The Opportunity** As a Senior or Lead Backend Engineer on our Applied AI team, you will be at the forefront of integrating robust data engineering with next-generation AI capabilities. You will design, build, and maintain scalable backend systems and data pipelines that power critical functions across our platform — from fraud investigation and decision automation to process optimization. In this role, you will champion high data quality, system reliability, and stringent governance across all AI-driven initiatives, making a lasting impact on FICO's platform. This is an opportunity to collaborate with a high-caliber team and drive meaningful innovation through your deep expertise in backend engineering and applied AI. **What You 'll Contribute** * Design and deploy scalable backend systems and data pipelines that seamlessly integrate applied AI capabilities into FICO's analytics and decision management platform. * Build high-quality solutions for data ingestion, transformation, and storage, ensuring reliable, high-throughput data flow for real-time analytics. * Design and implement LLM-powered solutions for decision automation, fraud investigation, and process automation within FICO's platform. * Develop sophisticated prompting strategies and Retrieval-Augmented Generation (RAG) architectures tailored to high-stakes, mission-critical applications. * Partner with data scientists, ML engineers, and product teams to develop microservices and APIs that enable intelligent, data-driven decision-making. * Optimize distributed architectures and implement real-time processing frameworks to support high-volume, low-latency workloads. * Implement advanced monitoring, testing, and performance optimization techniques to ensure system reliability, security, and scalability. * Define and evolve architectural patterns that support FICO's analytics and decisioning solutions at scale. * Lead and mentor engineering team members, promoting best practices in software development, data engineering, AI integration, and systems design. **What We 're Seeking** * In-depth experience in backend or data engineering, with a demonstrated track record of delivering complex, large-scale production systems. * Strong coding skills in Python, Go, Java, or equivalent languages, with a commitment to clean, maintainable, and well-tested code. * Hands-on experience with big data frameworks (e.g., Apache Spark, Kafka, Hadoop) and a strong understanding of both relational and NoSQL databases. * Experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools such as Docker and Kubernetes. * Proven ability to design, build, and maintain scalable, production-grade backend systems with a focus on reliability and performance. * Solid experience with testing frameworks (including A/B testing), performance optimization, and production monitoring/observability practices. * Demonstrated experience integrating AI/ML solutions into production systems, including working with Large Language Models (LLMs) and related techniques. * Experience with Retrieval-Augmented Generation (RAG) architectures and familiarity with vector databases (e.g., Pinecone, Weaviate, pgvector) is strongly preferred. * Strong problem-solving and communication skills, with the ability to mentor engineers, influence technical direction, and collaborate effectively across disciplines. * Bachelor's or Master's degree in Computer Science, Engineering, or a related field. An advanced degree is a plus but not required. **Our Offer to You** * An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others. * The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences. * Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so. * An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie. * The targeted base pay range for this role is: $140,000 to $220,000 with this range reflecting differences in candidate knowledge, skills and experience. #LI-LS1 #LI-remote **Why Make a Move to FICO?** At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today – Big Data analytics. You’ll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more. FICO makes a real difference in the way businesses operate worldwide: • Credit Scoring — FICO® Scores are used by 90 of the top 100 US lenders. • Fraud Detection and Security — 4 billion payment cards globally are protected by FICO fraud systems. • Lending — 3/4 of US mortgages are approved using the FICO Score. Global trends toward digital transformation have created tremendous demand for FICO’s solutions, placing us among the world’s top 100 software companies by revenue. We help many of the world’s largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success. Our success is dependent on really talented people – just like you – who thrive on the collaboration and innovation that’s nurtured by a diverse and inclusive environment. We’ll provide the support you need, while ensuring you have the freedom to develop your skills and grow your career. Join FICO and help change the way business thinks! Learn more about how you can fulfil your potential at [www.fico.com/Careers](http://www.fico.com/Careers) FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and we’re proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don’t meet all stated qualifications. While our qualifications are clearly related to role success, each candidate’s profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply. Information submitted with your application is subject to the FICO Privacy policy at [https://www.fico.com/en/privacy-policy](https://www.fico.com/en/privacy-policy)", "summaryDescription" : "Sr/Lead AI Backend Data Engineering - GenAI at FICO", "postedDate" : "2026-06-16T03:46:56.127", "createdAt" : "2026-06-16T03:46:56.104", "lastUpdated" : "2026-06-16T15:06:50.768", "ingestTimestamp" : "2026-06-16T03:46:56.104", "mongoId" : "6a3055f5f292fd229cf2360d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://fico.wd1.myworkdayjobs.com/External/job/Work-from-Home-United-States/Sr-Lead-AI-Backend-Data-Engineering---GenAI_31937", "salaryAnnualMin" : 140000, "salaryAnnualMax" : 140000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69dde4492beec4dd3d9a3329", "title" : "Intern Engineering Support", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 19.0, "max" : 22.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "UST-Texas-Fort Stockton-Fort Stockton Ae/Mnt", "locations" : [ "UST-Texas-Fort Stockton-Fort Stockton Ae/Mnt", "Hourly", "Nonexempt,
Fort Stockton Ae/Mnt (06FTSTOCK)
1207 EAST DICKINSON
Fort Stockton, 79735

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Greenville/Hunt Co Ae/Maint (01HUNTCO)
3001 I-30 EAST
Greenville, 754025845

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This position is located at the Greenville Area Office. Annually we hire over 1,000 College and High School students from across Texas and beyond to be a part of the Texas Department of Transportation. Many of the TxDOT Executive Leadership team and District Leadership team were also paid interns at one time. A paid internship is a great opportunity to: explore what TxDOT has to offer to the citizens of Texas, expand your knowledge acquired from school, and possibly serve as a gateway to future job opportunities with the agency. Many of the students choose to come back to TxDOT year-after-year to rejoin our team. TxDOT’s Employment Program provides current high school and college students the opportunity to gain valuable paid hands-on experience. You have nothing to lose and lots to gain such as invaluable work experience that can carry you into the future. Make the choice and join TxDOT for your brighter tomorrow today. 19.00 21.88", "summaryDescription" : "Intern Engineering Support at TxDOT. Gain valuable paid hands-on experience. 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Companies building the next generation of insurance products, financial services and fleet software for trucking use our Universal API to access GPS data, speeding data and vehicle stats. We are a fast-growing, venture-backed startup supported by top investors including Y Combinator, Golden Ventures and Wayfinder Ventures. Our exceptionally talented team is based in Toronto, Canada. For more info, check out our website: https://withterminal.com Note: This role is only available to Toronto/GTA-based candidates ABOUT THE ROLE We're looking for a software engineering intern who's excited about building scalable data platforms. This is an opportunity to work on real production systems, contributing to the data platform that powers Terminal's API and handles everything from data streaming and storage to analytics at petabyte scale. You'll work closely with our senior software engineers, contributing to projects that directly impact how we process and deliver high-volume telematics data to our customers. WHAT YOU WILL DO - Help build and optimize streaming and batch data pipelines that support our core product - Work on scalable storage solutions for handling petabytes of IoT and time-series data - Support implementation of data quality and data processing capabilities - Participate in code reviews and learn best practices for writing clean, maintainable code - Directly support and engage with our customers and partners - Collaborate with cross-functional teams to understand requirements and deliver solutions - Gain hands-on experience with modern data infrastructure technologies and AI tools ABOUT YOU - Available for a 4-12 month internship on-site at our office in downtown Toronto, starting this upcoming fall or winter term - Currently pursuing an undergraduate degree in Computer Science or a related field - Completed at least 2 full years of undergrad (3rd+ year) - Completed at least 1 prior professional software internship REQUIRED QUALIFICATIONS - Understanding of software patterns, data structures, algorithms, and basic system design - Experience with a compiled programming language like Java - Curious about large-scale data systems and real-time processing - Strong problem-solving skills and eagerness to learn - Able to work collaboratively in a team environment BONUS POINTS - Coursework or projects involving databases, distributed systems, or data processing - Personal or academic projects involving data pipelines or stream processing - Exposure to cloud platforms (AWS, GCP, or Azure) - Experience working with Java - Exposure to technologies similar to Kafka, Flink, or Spark TECHNOLOGIES YOU’LL LEARN - Languages: Java, Python - Framework: Spring Boot - Storage: Apache Iceberg, Apache Doris, AWS S3 - Streaming + ETL: AWS Kinesis, Apache Kafka, Apache Flink, Apache Spark - Infrastructure as Code: Pulumi, AWS CDK - CI/CD: GitHub Actions THE INTERVIEW PROCESS 1. Coding Challenge (30 min) + Project Showcase (30 min) 2. Cultural Loop (60 min)", "summaryDescription" : "Software Engineering Intern (Data Platform) at Terminal. Skills: Data platforms, Data streaming, Data storage, Data analytics. Build streaming data pipelines. Optimize streaming data pipelines", "createdAt" : "2026-06-14T04:11:43.992", "lastUpdated" : "2026-06-15T05:24:08.966", "ingestTimestamp" : "2026-06-14T04:11:43.992", "mongoId" : "6a2cb05374d8ee00a09d9a2e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data structures", "Algorithms", "System design", "Data pipelines", "Stream processing", "Data platforms", "Data streaming", "Data storage", "Data analytics", "Large-scale data systems", "Real-time processing", "IoT data", "Time-series data", "GitHub Actions" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69dde4492beec4dd3d9a3391", "title" : "Intern Engineering Support", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 35000.0, "max" : 45000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level engineering support intern in Abilene, TX, adjusted for government industry and internship employment type." }, "location" : "UST-Texas-Abilene-Abilene Ae/Taylor Maint Sect", "locations" : [ "UST-Texas-Abilene-Abilene Ae/Taylor Maint Sect", "Hourly", "Nonexempt,
Abilene Ae/Taylor Maint Sect (08TAYLORCO)
1350 N ARNOLD BLVD
Abilene, 79603

, Abilene Ae/Taylor Maint Sect" ], "timestamp" : "2026-06-16T04:59:01.003", "fingerprint" : "9b1e7f3a591597f24045816ede326f48e06bfb3afe0a594b905f9080702b83d3", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=42605", "externalId" : "42605", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Abilene", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.4464500,-99.7475905" } ], "locationText" : "Abilene, Texas, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Gain valuable work experience, Develop and enhance job skills, Explore what TxDOT has to offer, Expand knowledge and skills", "continuousLearning" : "Career development programs; Tuition assistance", "qualificationsBasic" : "Enrolled in engineering/science degree program", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "TxDOT’s Abilene Area Office is looking for a few eager students to work in our intern program. These intern positions will primarily cover the summer months, beginning in May going thru August. In a few circumstances if schedule and availability allow, these positions may continue throughout the year. These interns must be enrolled in an engineering or related science degree program in an accredited college or university accepted by TX PELS. These positions will offer the opportunity to gain valuable work experience, a great opportunity to explore what TxDOT has to offer, expand your knowledge and skills, and possibly serve as a gateway to a future career with the agency. At TxDOT you will work with skilled and licensed professionals to develop and enhance job skills through practical application. At TxDOT in the Abilene District, we have three core values: Safety for our employees and the traveling public, value our employees, and preserve our assets. We also strive to achieve a work-life balance and recognize the importance of your career as well as your home life. We offer a wide array of programs and activities including compressed work schedules, wellness leave incentive, career development programs, tuition assistance and many other benefits. 19.00 19.00", "summaryDescription" : "Intern Engineering Support at TxDOT. Gain valuable work experience. Develop and enhance job skills", "createdAt" : "2026-06-14T18:50:45.198", "lastUpdated" : "2026-06-16T04:59:01.003", "ingestTimestamp" : "2026-06-14T18:50:45.198", "mongoId" : "69dde4492beec4dd3d9a3391", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 35000, "salaryAnnualMax" : 45000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305ae9f292fd229cf57179", "title" : "AI & Management Consulting Intern (Value Engineering - DACH Market)", "company" : "Celonis", "industry" : "SaaS", "salary" : { "min" : 24000.0, "max" : 36000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an AI & Management Consulting Intern in Munich, Germany, adjusted for entry-level seniority and the SaaS industry." }, "location" : "Munich, Germany", "locations" : [ "Munich", "Germany" ], "timestamp" : "2026-06-16T07:19:28.907", "fingerprint" : "ff64d31af692977d2c63f59f26a2f668ae4adb71ae43673281b7a68a4f7beec6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/celonis/jobs/7751549003?gh_jid=7751549003", "externalId" : "7751549003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Munich", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.1371079,11.5753822" } ], "locationText" : "Munich, Germany", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SQL, Python, OpenAI, LLMs", "professionalSkills" : [ "Business acumen", "Data modeling", "Value proposition" ], "hardSkillsList" : [ "Data analysis", "Business case creation", "Process intelligence" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Business case creation", "level" : "intermediate" }, { "name" : "Process intelligence", "level" : "intermediate" } ], "majorSkills" : "Value Engineering, Process Intelligence, Applied AI", "majorSkillsList" : [ "Value Engineering", "Process Intelligence", "Applied AI" ], "coreResponsibilities" : "Analyze customer data, Increase transparency in business processes, Understand customer pain points, Translate pain points into use cases, Collaborate with customers and partners, Uncover core business challenges, Determine how Celonis can help, Quantify financial impact of use cases, Prepare management presentations, Present findings to C-level executives, Leverage Celonis data modeling, Leverage Celonis AI capabilities, Uncover process inefficiencies, Generate insights, Deliver data driven value propositions, Pitch Celonis AI value proposition, Pitch Celonis AI vision, Align solutions with AI strategy, Build relationships with customers, Win customer trust", "teamCollaboration" : "Partner with sales; Partner with customers; Work with team; Present with team", "domainKnowledge" : "Process Intelligence; Process Mining; Applied AI; Data Analytics", "domainList" : [ "process-intelligence", "process-mining", "applied-ai", "data-analytics" ], "domainSpecificKnowledge" : [ "Process Intelligence", "Process Mining", "Applied AI", "Data Analytics" ], "communicationSkills" : "Present findings; Pitch value proposition", "continuousLearning" : "Mentorship programs; Learning platform access", "problemSolvingSkills" : "Analytical mindset; Problem solving", "specialRequirements" : "Full-time availability", "outcomesObjectives" : "Unlock global productivity; Unlock sustainability; Achieve business objectives; Deliver high impact value", "qualificationsBasic" : "Student of Business Informatics / Management & Technology / Industrial Engineering/ Computer Science/ Economics / Mathematics or of a comparable program, Communicational skills, Interest in interacting with potential customers, Confidence to present to C-level executives, Passion for technology, data, OpenAI and LLMs, Experience in consulting, Highly interested in Data Analytics & Applied AI, Knowledge in SQL, Knowledge in Python, Knowledge in related database query languages, Analytical mindset, Ability to multi-task, Ability to prioritize, Ability to execute, Effective communicator, Business fluent in German, Business fluent in English, Full-time availability for at least five months, Availability starting from June/ July/ August 2026", "qualificationsPreferred" : "Completion of Celonis \"Rising Star\" modules", "workSiteFlexibility" : "Hybrid", "rawDescription" : "Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet. The Team: As an Intern in AI & Management Consulting you join our Value Engineering team to focus on driving and closing opportunities by identifying and selling the value Celonis can bring to customers. Our Value Engineers (VE) are the trusted advisor for customers and work on the intersection of technology and business. Value Engineers partner with sales and customers to create compelling solutions to critical business problems. A great VE understands the customer, the technology, and the sales cycle making it what may be the most interesting, challenging, and fulfilling role in enterprise technology sales. The Role: Value Engineers are the trusted advisors for our prospects and customers and leverage product expertise and business acumen to solve our prospects’ and customers’ most pressing challenges. You will gain experience in executing proof of value projects and take part in technical discussions with stakeholders. By creating customer-based business cases, you support the strategic business development activities for the DACH market. The work you’ll do: Analyze data from our customers to increase transparency in business processes Understand the pain points of our customers and translate them into actionable use cases in the Celonis Process Intelligence Platform Collaborate with customers and partners to uncover their core business challenges and determine how Celonis Process Intelligence can help them achieve their business objectives Quantify financial impact of use cases implemented in the Celonis Process Intelligence Platform and prepare management ready presentations Present findings together with your team in front of customers’ C-level and decision makers Leverage Celonis data modeling and AI capabilities to uncover process inefficiencies, generate insights, and deliver high impact, data driven value propositions to clients. Pitch the Celonis AI value proposition and vision to customers and align our solutions with their AI strategy Build strong relationships with our customers by winning their trust through technical, product expertise, and business acumen The qualifications you need: Student of Business Informatics / Management & Technology / Industrial Engineering/ Computer Science/ Economics / Mathematics or of a comparable program Strong communicational skills and interest in interacting with potential customers Confidence to present to C-level executives and larger audiences Have a passion for technology, data, OpenAI and LLMs and the impact it can have on the world Experience in consulting and highly interested in Data Analytics & Applied AI Knowledge in SQL and Python or related database query languages (completion of Celonis \"Rising Star\" modules would be a plus) Analytical mindset and the ability to multi-task, prioritize and execute Effective communicator and business fluent in German and English Full-time availability for at least five months starting from June/ July/ August 2026 What Celonis can offer you: Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations. Ownership from Day 1: Every full-time \"Celonaut\" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants. Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment. Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration. Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform. Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated \"Wellness Weeks\" that prioritize work/life balance. Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually. Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued. Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision. About Us: Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Get familiar with the Celonis Process Intelligence Platform by watching this video. Celonis Inclusion Statement: At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen. Your Privacy: Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process. Please be aware of common job offer scams, impersonators and frauds. Learn more here.", "summaryDescription" : "AI & Management Consulting Intern (Value Engineering - DACH Market) at Celonis. Skills: Value Engineering, Process Intelligence, Applied AI. Analyze customer data. 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Austin District Headquarters (14DISTHQ)
7901 NORTH IH 35
Austin, 78753

Bastrop Area Engr/Maint Sect (14BASTRPCO)
174 SH 21 EAST
Bastrop, 78602

North Austin Area Engr Office (14NAUSTNAE)
1001 EAST PARMER LANE, STE B
Austin, 78753

Georgetown-Willmsn Co Ae/Maint (14WLLMSNCO)
2727 SOUTH AUSTIN AVE
Georgetown, 78627

Burnet Co Area Engr/Maint Sect (14BURNETCO)
3029 SH 29 EAST
Burnet, 78611

South Travis Area Engr Office (14STRVISAE)
9725 SOUTH IH 35
Austin, 78744

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S. Citizen or eligible to work, Currently enrolled as a student", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "This position is for internships during the months of May-August TxDOT's Austin District has job openings for Intern Engineering Support Techs at various offices across the Austin Metro Area. Annually, over 500 College and High School students from across Texas and beyond select the Texas Department of Transportation as their employer of choice. A paid internship is a great opportunity to explore what TxDOT has to offer, expand your knowledge and skills, and possibly serve as a gateway to future job opportunities with the agency. Many students choose to join our team while they complete their college education. At TxDOT, you will gain valuable experience working with skilled and licensed professionals to develop and enhance job skills through practical application. Engineering Support Techs assists in transportation engineering support work such as construction or maintenance inspection, structural construction or maintenance, laboratory work, landscaping, surveying, or engineering data collection, operating data collection equipment, and other entry-level engineering support work. Employees at this level perform assignments following specific instructions and are subject to frequent review by the immediate supervisor. To qualify, students must: Must be 16 years old Be a U.S. Citizen or be eligible to work in the U.S. Be currently enrolled as a student at a high school, technical school, college or university. Note: Employees at least 18 years of age with a valid driver’s license may be assigned driving duties and may use power tools. Possible Work Location(s): Austin District Headquarters: 7901 North IH 35, Austin TX 78753 North Travis Area Office: 1001 E. Parmer Lane, Austin TX 78753 South Travis Area Office: 1925 S. IH 35, Austin TX 78744 Bastrop Area Office: 174 SH 21 East, Bastrop TX 78602 Burnet Area Office: 3029 SH 29 East, Burnet TX 78611 Georgetown Area Office: 2727 S Austin Ave, Georgetown TX 78626 Salary Plan/Grade: Intern Engineering Support: A11 ($18-$22/Hourly) 18.00 23.00", "summaryDescription" : "2026 Engineering Intern: Austin District - Various Locations at TxDOT. Skills: Engineering support, Data collection. Assist in transportation engineering support. Perform construction inspection", "createdAt" : "2026-06-14T20:49:37.809", "lastUpdated" : "2026-06-16T06:15:12.024", "ingestTimestamp" : "2026-06-14T20:49:37.809", "mongoId" : "69dde4492beec4dd3d9a3374", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 37440, "salaryAnnualMax" : 45760, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Engineering support", "Data collection", "Transportation engineering", "Data collection equipment" ], "skillCount" : 4, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cd59674d8ee00a0a3b934", "title" : "Civil Engineering Intern", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 24.0, "max" : 29.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States-Massachusetts-Boston", "locations" : [ "United States-Massachusetts-Boston" ], "timestamp" : "2026-06-15T07:04:22.791", "fingerprint" : "dfd012d322ad05e381d6bc84f3c324c0a2d674208fd876ab6a055db40e0b93a7", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=783218", "externalId" : "783218", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "AutoCAD Civil 3D, MicroStation", "professionalSkills" : [ "Engineering assignments", "Quantity estimation" ], "hardSkillsList" : [ "Highway design", "Roadway design", "Green infrastructure", "Stormwater management", "Drainage", "Grading", "Multi-modal transportation" ], "hardSkills" : [ { "name" : "Highway design", "level" : "intermediate" }, { "name" : "Roadway design", "level" : "intermediate" }, { "name" : "Green infrastructure", "level" : "intermediate" }, { "name" : "Stormwater management", "level" : "intermediate" }, { "name" : "Drainage", "level" : "intermediate" }, { "name" : "Grading", "level" : "intermediate" }, { "name" : "Multi-modal transportation", "level" : "intermediate" } ], "majorSkills" : "Civil engineering, Design, Transportation", "majorSkillsList" : [ "Civil engineering", "Design", "Transportation" ], "coreResponsibilities" : "Prepare plans, Prepare detail drawings, Perform engineering assignments", "teamCollaboration" : "Civil engineering design team", "domainKnowledge" : "Transportation infrastructure; Highway design; Roadway design; Green infrastructure; Stormwater management; Drainage; Grading; Multi-modal transportation", "domainList" : [ "transportation-infrastructure", "highway-design", "roadway-design", "green-infrastructure", "stormwater-management", "drainage", "grading", "multi-modal-transportation" ], "domainSpecificKnowledge" : [ "Transportation infrastructure", "Highway design", "Roadway design", "Green infrastructure", "Stormwater management", "Drainage", "Grading", "Multi-modal transportation" ], "toolProficiency" : [ "AutoCAD Civil 3D", "MicroStation" ], "documentationSkills" : "Detail drawings", "continuousLearning" : "Tuition reimbursement", "qualificationsBasic" : "2+ years completed toward degree", "qualificationsPreferred" : "Local candidates preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe transportation is more than movement, it’s the foundation of connected, thriving communities. As part of HDR’s Transportation Business Group, you’ll help shape the systems that move people and goods safely, efficiently, and sustainably. From designing resilient highways and iconic bridges to advancing transit, passenger and freight rail, aviation, federal transportation ports and marine infrastructure, your work will directly support economic vitality, public safety, sustainable and resilient communities and quality of life. We bring together planners, engineers, architects, construction management staff, environmental, strategic communications, economists, management consultants and specialists across disciplines to solve complex mobility challenges with innovation, technical excellence, and a deep understanding of community needs. Whether you're modernizing aging infrastructure or pioneering next-generation transportation solutions, your contributions will help define the future of mobility. This isn’t just a job, it’s a chance to lead progress, drive meaningful impact, and leave a legacy of smarter, more connected transportation networks. We are all employee-owners at HDR, which is the foundation of our collaborative culture that connects employees around the world. Primary Responsibilities The Civil Intern/Co-Op will work as a member of the civil engineering design team on projects serving clients in the New England area. The position includes preparation of plans, detail drawings, and quantity estimation for projects of various sizes and complexity. The Civil Department engages in several areas of design including highway & local roadway design, green infrastructure, stormwater management, drainage & grading, and multi-modal transportation designs for clients throughout New England including MassDOT, MBTA, NHDOT, RIDOT, and the City of Boston. The candidate will need to be a self-motivated individual who maintains a high level of professionalism while performing engineering assignments. Preferred Qualifications · 2+ years completed toward degree Proficiency with AutoCAD Civil 3D and/or MicroStation Local candidates preferred We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) Boston: %2424- %2429", "summaryDescription" : "Civil Engineering Intern at HDR. Skills: Civil engineering, Design, Transportation. Prepare plans. 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Livingston Area Engr Office (11POLKCO)
3161 US HIGHWAY 59 NORTH
Livingston, 77351

, Livingston Area Engr Office" ], "timestamp" : "2026-06-15T06:49:47.613", "fingerprint" : "dd7761e7b4482130b01831953a0b1f2942e62e1b75f9d4fcdb41b7f878a4472b", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=44023", "externalId" : "44023", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Livingston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.7110290,-94.9329898" } ], "locationText" : "Livingston, Texas, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Gain hands-on experience, Apply skills in real-world settings", "teamCollaboration" : "Working with professionals", "domainKnowledge" : "Transportation engineering", "domainList" : [ "transportation-engineering" ], "domainSpecificKnowledge" : [ "Transportation engineering" ], "continuousLearning" : "Pathway to grow career", "qualificationsBasic" : "Engineering student enrollment, Related science program enrollment", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Kickstart Your Engineering Journey with TxDOT! Looking to gain hands-on experience in transportation engineering while working alongside licensed professionals? The Texas Department of Transportation (TxDOT) Lufkin District's District Maintenance office, located at the Lufkin District HQ are now accepting applications for Engineering Support Interns. This paid opportunity is ideal for students enrolled in engineering or related science programs who want to apply their skills in real-world settings. Internships are scheduled to begin in May 2026 and will run through the summer. Positions may also be evaluated for continuation on a year-round basis, offering a valuable pathway to grow your career with TxDOT. 18.00 22.76", "summaryDescription" : "Intern Engineering Support at TxDOT. Gain hands-on experience. Apply skills in real-world settings", "createdAt" : "2026-06-14T08:34:51.497", "lastUpdated" : "2026-06-15T06:49:47.613", "ingestTimestamp" : "2026-06-14T08:34:51.497", "mongoId" : "69dde4492beec4dd3d9a3255", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 37440, "salaryAnnualMax" : 45760, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Transportation engineering" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "696082680937eae70e9c8ad8", "title" : "Intern Engineering Support", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 120000.0, "max" : 240000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an Intern Engineering Support role in Bengaluru, India, adjusted for entry-level seniority and the government industry." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations", "Hourly", "Nonexempt,
Hou District Headquartrs (12DISTHQ-1)
7600 WASHINGTON AVENUE
Houston, 77007

North Harris County Ae/Maint (12NHARRSCO)
16803 EASTEX FREEWAY
Humble, 77347

Southeast Harris County Ae (12SHARRSCO)
702 FM 1959
Houston, 77034

Fort Bend County Ae/Maint (12FTBENDCO)
4235 SH 36
Rosenberg, 77471

Hou Dist Office (6810) Complex (12DISTHQ-2)
6810 OLD KATY ROAD
Houston, 77024

West Harris Co Ae/Maint (12WHARRSCO)
14838 NORTHWEST FREEWAY
Houston, 77040

Galveston County Ae/Maint (12GALVSTCO)
5407 GULF FREEWAY
La Marque, 77568

Brazoria Areaengr/S.Braz Maint (12BRAZRCO)
18671 FM 523
Angleton, 77515

Montgomery County Ae/Maint (12MONTGYCO)
901 N FM 3083
Conroe, 77303

Houston Transtar (12DISTHQ-3)
6922 OLD KATY ROAD
Houston, 77024

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These internships provide the opportunity to learn roadway, pavement, drainage and bridge designs; construction and materials testing means and methods; traffic systems design and operations; and maintenance asset management methodologies. These positions are for these locations: -Houston Dist. HQ : 7600 Washington Ave., Houston, TX 77007 -W. Harris: 14838 Northwest Freeway, Houston, TX 77040 -S. Harris : 702 FM 1959, Houston, TC 77037 -N. North Harris: 16803 Eastex Freeway, Humble, TX 77347 -Brazoria: 18671 FM 523, Angleton, TX 77515 -Fort Bend: 4235 SH 36, Rosenberg, TX 77471 -Galveston: 5407 Gulf Freeway, La Marque, TX 77568 -Montgomery: 901 N FM 3038, Conroe, TX 77303 -TranStar: 6922 Old Katy Road, Houston, TX 77024 -Traffic Systems Const.: 6810 Old Katy Road, Houston, TX 77024 21.88 21.88", "summaryDescription" : "Intern Engineering Support at TxDOT. Skills: Roadway construction, Pavement construction, Drainage construction, Bridge construction. Learn roadway construction. Learn pavement construction", "createdAt" : "2026-06-14T08:16:50.971", "lastUpdated" : "2026-06-15T06:51:05.212", "ingestTimestamp" : "2026-06-14T08:16:50.971", "mongoId" : "696082680937eae70e9c8ad8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Roadway construction", "Pavement construction", "Drainage construction", "Bridge construction", "Traffic systems design", "Materials testing", "Asset management", "Systems design", "Roadway engineering", "Pavement engineering", "Drainage engineering", "Bridge engineering", "Traffic systems" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f83f292fd229c05a207", "title" : "Senior Data Scientist, Product, AI Context Engineering", "industry" : "Technology", "salary" : { "min" : 185000.0, "max" : 275000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Scientist in Mountain View, adjusted for the technology industry and senior experience level." }, "location" : "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "locations" : [ "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T12:39:17.340", "fingerprint" : "ec5f96e8443b72b363ea10fda0498f617f9c560534956496923ed887cfde8581", "source" : "google", "language" : "en", "externalId" : "91207088033669830", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, Spark, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, GCP, BigQuery, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Statistical analysis", "Machine learning", "Data modelling", "A/B testing", "Causal inference" ], "hardSkillsList" : [ "Regression", "Classification", "Clustering", "Time-series analysis" ], "hardSkills" : [ { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, AI, Data Science", "majorSkillsList" : [ "Machine Learning", "AI", "Data Science" ], "coreResponsibilities" : "Develop and deploy machine learning models, Design and implement data pipelines, Conduct statistical analysis, Build and maintain BI dashboards, Collaborate with product teams, Drive product innovation through AI", "teamCollaboration" : "Cross-functional teams; Product managers; Engineering teams", "domainKnowledge" : "Product analytics; AI context engineering", "domainList" : [ "product-analytics", "ai-context-engineering" ], "domainSpecificKnowledge" : [ "Product analytics", "AI context engineering" ], "toolProficiency" : [ "Dbt", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Present findings; Communicate insights", "documentationSkills" : "Technical documentation", "innovationCreativity" : "Drive product innovation", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years Python, SQL proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "summaryDescription" : "Senior Data Scientist, Product, AI Context Engineering. Skills: Machine Learning, AI, Data Science. Develop and deploy machine learning models. Design and implement data pipelines", "postedDate" : "2026-06-16T01:49:15.452", "createdAt" : "2026-06-16T01:49:15.452", "lastUpdated" : "2026-06-16T12:39:17.340", "ingestTimestamp" : "2026-06-16T01:49:15.452", "mongoId" : "6a307f83f292fd229c05a207", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 185000, "salaryAnnualMax" : 275000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Regression", "Classification", "Clustering", "Time-series analysis", "Machine Learning", "AI", "Data Science", "Statistical analysis", "Machine learning", "Data modelling", "A/B testing", "Causal inference", "Product analytics", "AI context engineering", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Tableau", "Power BI", "Looker" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69dde4492beec4dd3d9a32e7", "title" : "Intern Engineering Support", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 35000.0, "max" : 45000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an Entry level Intern Engineering Support role in San Angelo, United States, adjusted for government industry." }, "location" : "UST-Texas-San Angelo-San Angelo Ao & Mnt", "locations" : [ "UST-Texas-San Angelo-San Angelo Ao & Mnt", "Hourly", "Nonexempt,
San Angelo Ao & Mnt (07SAAOMNT)
2802 ARMSTRONG
San Angelo, 76903

, San Angelo Ao & Mnt" ], "timestamp" : "2026-06-15T09:05:41.695", "fingerprint" : "63190a284a8d89df5ddf38e4de028206539682a82a81c939821b74cecfddf512", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=43718", "externalId" : "43718", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Angelo", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "31.4649685,-100.4405094" } ], "locationText" : "San Angelo, Texas, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Construction inspection, Maintenance inspection, Laboratory work, Surveying, Engineering data collection, Learn roadway design concepts, Entry-level engineering support work", "domainKnowledge" : "Roadway design", "domainList" : [ "roadway-design" ], "domainSpecificKnowledge" : [ "Roadway design" ], "qualificationsBasic" : "At least 18 years old, U. S. citizen or eligible to work, Enrolled in engineering or related science degree program", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "TxDOT's San Angelo District is looking for Engineering Interns in the San Angelo Area Office. Office is located at 2802 Armstrong, San Angelo, TX. This position is for internships during the months of May-August with the potential for year-round part-time employment. Duties for this position may include construction or maintenance inspection, laboratory work, surveying, engineering data collection, learning basic roadway design concepts, and other entry-level engineering support work. This internship will provide current high school and college students the opportunity to gain valuable hands-on experience while earning a competitive salary. At TxDOT, you will join a diverse workforce that is passionate about their careers and serving the citizens of Texas. A paid internship is a great opportunity to explore what TxDOT has to offer and to expand your knowledge acquired from school. It can also serve as a gateway to future job opportunities with the agency. It is no surprise that many students choose to come back to TxDOT year-after-year to rejoin our team. Make the choice to join TxDOT today! To qualify, students must: Be at least 18 years old at time of hire Be a U.S. citizen or be eligible to work in the U.S. Enrolled in an engineering or related science degree program in an accredited college or university accepted by TX PELS. 15.54 22.76", "summaryDescription" : "Intern Engineering Support at TxDOT. Construction inspection. Maintenance inspection", "createdAt" : "2026-06-14T06:52:08.313", "lastUpdated" : "2026-06-15T09:05:41.695", "ingestTimestamp" : "2026-06-14T06:52:08.313", "mongoId" : "69dde4492beec4dd3d9a32e7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 35000, "salaryAnnualMax" : 45000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Roadway design" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde4492beec4dd3d9a338f", "title" : "Intern Engineering Support", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 31000.0, "max" : 45000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for entry-level engineering support roles in the United States, adjusted for the specific location of Snyder, Texas, and the government industry." }, "location" : "UST-Texas-Snyder-Snyder Ae/Scurry Co Maint Sect", "locations" : [ "UST-Texas-Snyder-Snyder Ae/Scurry Co Maint Sect", "Hourly", "Nonexempt,
Snyder Ae/Scurry Co Maint Sect (08SCURRYCO)
111 N AVENUE V
Snyder, 79550

, Snyder Ae/Scurry Co Maint Sect" ], "certifications" : [ "TX PELS" ], "timestamp" : "2026-06-15T08:13:53.951", "fingerprint" : "d784ce0c9a25a79c1c8246eb9e535f4b830f2bb9549458c3e74bb01b3c263ff3", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=42624", "externalId" : "42624", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Snyder", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7180803,-100.9182310" } ], "locationText" : "Snyder, Texas, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "continuousLearning" : "Career development programs; Tuition assistance", "qualificationsBasic" : "Enrolled in engineering or related science degree program", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "TxDOT’s Abilene District is looking for a few eager students to work in our intern program. These intern positions will primarily cover the summer months, beginning in May going thru August. In a few circumstances if schedule and availability allow, these positions may continue throughout the year. These interns must be enrolled in an engineering or related science degree program in an accredited college or university accepted by TX PELS. These positions will offer the opportunity to gain valuable work experience, a great opportunity to explore what TxDOT has to offer, expand your knowledge and skills, and possibly serve as a gateway to a future career with the agency. At TxDOT you will work with skilled and licensed professionals to develop and enhance job skills through practical application. At TxDOT in the Abilene District, we have three core values: Safety for our employees and the traveling public, value our employees, and preserve our assets. We also strive to achieve a work-life balance and recognize the importance of your career as well as your home life. We offer a wide array of programs and activities including compressed work schedules, wellness leave incentive, career development programs, tuition assistance and many other benefits. 19.00 19.00", "summaryDescription" : "Intern Engineering Support at TxDOT", "createdAt" : "2026-06-14T06:48:46.936", "lastUpdated" : "2026-06-15T08:13:53.951", "ingestTimestamp" : "2026-06-14T06:48:46.936", "mongoId" : "69dde4492beec4dd3d9a338f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 31000, "salaryAnnualMax" : 45000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "TX PELS" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6c6d74d8ee00a0918b19", "title" : "Director, Data Engineering", "company" : "Hanwha Energy USA", "salary" : { "min" : 220000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Houston, Texas, United States", "locations" : [ "Houston", "Texas", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T03:08:14.887", "fingerprint" : "13b87651061f675b1539fd42930ce6e46feb1f95150342d66d0d63f8ca4f3911", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hanwhaenergyusa/jobs/4224617009", "externalId" : "4224617009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data modeling", "System design", "Data architecture" ], "hardSkillsList" : [ "Data warehousing", "ETL development", "Data pipeline orchestration", "Machine learning implementation", "Statistical analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL development", "level" : "intermediate" }, { "name" : "Data pipeline orchestration", "level" : "intermediate" }, { "name" : "Machine learning implementation", "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, Deploy machine learning models, Optimize data infrastructure, Ensure data quality, Collaborate with stakeholders, Mentor junior engineers", "teamCollaboration" : "Cross-functional teams; Data scientists; Analysts; Product managers", "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" : [ "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "5+ years of experience in data engineering, Proficiency in SQL, Bachelor's degree in Computer Science, Engineering, or related field", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified Associate, Dbt Certified Associate", "remoteFriendly" : false, "rawDescription" : "COMPANY OVERVIEW Hanwha Energy USA, headquartered in Houston, Texas, is part of the Hanwha Group—a FORTUNE Global 300 company and one of South Korea’s most respected business enterprises. With over a decade of experience delivering high-quality, utility-scale energy projects across North America, Hanwha Energy USA has evolved into a comprehensive energy solutions provider. Our portfolio now spans utility-scale renewables, natural gas generation, retail electricity, and strategic partnerships that power America’s growing data center industry. Our expertise covers the entire energy value chain—from project development and engineering to construction, operations, and maintenance. By integrating advanced technologies, proven processes, and strong partnerships, we deliver reliable, customized solutions that meet the dynamic needs of local energy markets. Hanwha Energy USA is actively advancing strategic initiatives in natural gas generation and data center development, including hyperscaler solutions on both sides of the meter. We are proud to serve as the parent company of: Hanwha Renewables – specializing in utility-scale solar and battery energy storage systems (BESS) Chariot Energy – providing retail electricity services for residential, commercial, and industrial customers in deregulated markets POSITION OVERVIEW We are seeking a Director of Data Engineering to lead the strategy, architecture, and delivery of a modern enterprise data platform. This leader will own and actively contribute to the enterprise data strategy and backlog, ensuring that data engineering, reporting, and analytics are coordinated under strong technical leadership and built on a governed, reliable, and scalable foundation. This is a hands-on leadership role for a player-coach who can operate at both the strategic and technical levels. The ideal candidate will go well beyond traditional SQL Server administration and reporting support. This person will help modernize our data environment by introducing the right technologies, patterns, and operating discipline across areas such as cloud data platforms, data lakes, streaming/event-driven data, data quality, lineage, semantic modeling, and AI-ready data architecture. This role is critical to ensuring that AI solutions, business reporting, and operational decision-making are powered by trusted, well-managed data with measurable business impact. The employee may be required to perform other job-related duties as requested by management. All duties will be assigned in accordance with applicable laws and company policies. RESPONSIBILITIES Own and actively contribute to the enterprise data strategy and roadmap. Define and prioritize the data engineering backlog, balancing foundational work, new business needs, AI enablement, reporting, and technical debt reduction. Design and oversee key data models, pipelines, integration patterns, and analytics platforms that support AI, BI, operational reporting, and decision-making. Lead data engineering and reporting teams including full-time employees, contractors, and vendors. Stay close to the work by reviewing pipeline designs, resolving complex data issues, and guiding architecture and implementation decisions. Establish practical standards for data quality, lineage, documentation, observability, governance, and operational support. Drive the evolution of the company’s data environment beyond basic SQL Server patterns into modern capabilities such as: cloud-based data platforms data lakes / lakehouse architectures streaming and near-real-time data pipelines scalable ELT/ETL frameworks governed semantic and analytics layers Partner with business stakeholders, application development teams, AI engineers, analysts, and leadership to ensure data platforms meet current and future needs. Ensure data structures and delivery patterns support both business intelligence and AI use cases, including trusted source data, feature-ready datasets, retrieval-ready content, and performance-optimized views. Evaluate and introduce appropriate new technologies, tools, and design patterns that improve scalability, maintainability, speed, governance, and cost efficiency. Oversee data integration across enterprise systems such as ERP, CRM, project platforms, contract repositories, ticketing systems, and internally developed applications. Collaborate with infrastructure, security, and application teams to ensure data solutions align with enterprise architecture, security controls, identity standards, and cloud strategy. Build strong operating rhythms around prioritization, delivery, quality review, issue resolution, and stakeholder communication. Mentor senior engineers and analysts while raising the technical maturity of the broader team. REQUIRED QUALIFICATIONS Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field. Equivalent experience may be considered. 15+ years of progressive experience in data engineering, analytics engineering, data architecture, or enterprise data platform development. 5+ years of leadership experience managing technical data teams. Proven experience designing and delivering modern data pipelines and analytics platforms in a business environment with multiple stakeholders. Strong experience with SQL and relational data platforms, but also a demonstrated ability to move beyond legacy-only approaches into modern data architecture. Experience with cloud data platforms, data lakes, and scalable data pipeline design. Experience with streaming, event-driven, or near-real-time data integration patterns. Experience establishing standards for data quality, lineage, documentation, and governance. Strong understanding of how data platforms support BI, reporting, analytics, and AI use cases. Experience leading a mix of full-time employees, contractors, and/or vendor resources. Ability to work in the details while also setting strategic direction. Preferred Qualifications Experience with Azure-based data services and modern cloud-native data patterns. Experience with lakehouse or data lake architectures. Experience with streaming technologies and message/event-based integration patterns. Experience supporting AI and machine learning use cases with well-structured, governed data. Experience with semantic models, dimensional modeling, and performance optimization for analytics. Experience in operationally complex or multi-entity environments. Experience modernizing legacy reporting/data stacks into more scalable enterprise platforms. Technical Environment The ideal candidate should be comfortable working across a modern enterprise data environment that may include: SQL Server and relational platforms Azure data services and cloud-native data tooling Data lakes / lakehouse patterns Streaming or event-driven data architectures ETL / ELT orchestration frameworks Data modeling for analytics and operational reporting Data quality, lineage, cataloging, and documentation Integration with ERP, CRM, project systems, contract repositories, and custom applications AI and BI data enablement Leadership Profile Successful candidates will bring: Player-coach leadership style Strong technical credibility Comfort reviewing design details and guiding implementation A modernization mindset Strong architecture judgment A practical approach to governance and standards The ability to bridge engineering, analytics, and business needs A bias toward measurable business outcomes, not just technical elegance What Success Looks Like In this role, success means: A clear and executable enterprise data strategy is in place Data engineering and reporting teams are aligned under strong technical leadership Trusted, governed data pipelines and models support AI, BI, and decision-making The organization begins adopting modern data platform capabilities beyond traditional SQL-only patterns Data quality, lineage, and documentation improve materially Business users gain more confidence in reporting and analytics Data investments show measurable impact on speed, insight, governance, and scalability COMPENSATION: $220,000 - $250,000 salary Attention external recruitment firms, we will not accept any unsolicited resumes at this time. Please do not contact any internal member of our company to discuss the position or to solicit candidates. Hanwha Energy USA provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. www.hanwhaenergyusa.com", "summaryDescription" : "Director, Data Engineering at Hanwha Energy USA. Skills: Data Engineering, Machine Learning, Business Intelligence, Analytics Engineering. Design data pipelines. Build data models", "postedDate" : "2026-06-14T19:59:30.134", "createdAt" : "2026-06-14T19:59:30.134", "lastUpdated" : "2026-06-16T03:08:14.887", "ingestTimestamp" : "2026-06-14T19:59:30.134", "mongoId" : "6a2c6c6d74d8ee00a0918b19", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 250000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data warehousing", "ETL development", "Data pipeline orchestration", "Machine learning implementation", "Statistical analysis", "A/B testing", "Causal inference", "Data Engineering", "Machine Learning", "Business Intelligence", "Analytics Engineering", "Data modeling", "System design", "Data architecture", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "skillCount" : 41, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305b58f292fd229cf5ca02", "title" : "Embedded Systems & ML Engineering Intern", "company" : "1st Avenue Power", "industry" : "Climate Tech", "salary" : { "min" : 30.0, "max" : 50.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bay Area, California, United States", "locations" : [ "Bay Area", "California", "United States" ], "timestamp" : "2026-06-16T08:55:21.778", "fingerprint" : "078d1480659c2928d719a86fa00b903f2755c2d038c6d504527a0eb55cbe1bf9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/1stavenuepower/jobs/5263101008", "externalId" : "5263101008", "industryFunction" : { }, "structuredLocations" : [ { "state" : "California", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "California, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "technicalSkills" : "C, C++, Python, Machine Learning, Git, TensorFlow Lite, ONNX Runtime, UART, SPI, I2C, CAN, AWS IoT, Azure IoT Hub, DSP", "professionalSkills" : [ "Firmware development", "Code reviews", "Root cause analysis", "ML model optimization", "Model quantization" ], "hardSkillsList" : [ "Hardware bring-up", "Firmware development", "Embedded systems", "Real-time systems", "Device drivers", "Scheduling tasks", "Interrupt handling", "Low-power modes", "Version control", "ML model deployment", "Edge computing" ], "hardSkills" : [ { "name" : "Hardware bring-up", "level" : "intermediate" }, { "name" : "Firmware development", "level" : "intermediate" }, { "name" : "Embedded systems", "level" : "intermediate" }, { "name" : "Real-time systems", "level" : "intermediate" }, { "name" : "Device drivers", "level" : "intermediate" }, { "name" : "Scheduling tasks", "level" : "intermediate" }, { "name" : "Interrupt handling", "level" : "intermediate" }, { "name" : "Low-power modes", "level" : "intermediate" }, { "name" : "Version control", "level" : "intermediate" }, { "name" : "ML model deployment", "level" : "intermediate" }, { "name" : "Edge computing", "level" : "intermediate" } ], "majorSkills" : "Embedded Systems, Firmware Development, Machine Learning", "majorSkillsList" : [ "Embedded Systems", "Firmware Development", "Machine Learning" ], "coreResponsibilities" : "Review hardware for solar systems, Modify embedded firmware in C/C++, Develop device drivers, Implement scheduling tasks, Handle interrupt handling, Implement low-power modes, Port firmware to new hardware, Maintain version-controlled codebases, Conduct firmware testing, Perform code reviews, Analyze field issues, Review ML models for PV fault detection, Optimize trained models for edge devices, Quantize trained models for edge devices, Integrate ML outputs into dashboards, Integrate ML outputs into control loops", "teamCollaboration" : "Work with senior engineers; Collaborate with data engineering", "domainKnowledge" : "Solar energy systems; PV fault detection; Edge devices; Microcontrollers; Real-time microcontroller environments; Constrained compute; Constrained memory; IoT architectures", "domainList" : [ "solar-energy-systems", "pv-fault-detection", "edge-devices", "microcontrollers", "real-time-microcontroller-environments", "constrained-compute", "constrained-memory", "iot-architectures" ], "domainSpecificKnowledge" : [ "Solar energy systems", "PV fault detection", "Edge devices", "Microcontrollers", "Real-time microcontroller environments", "Constrained compute", "Constrained memory", "IoT architectures" ], "toolProficiency" : [ "Git", "TensorFlow Lite", "ONNX Runtime" ], "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "5-15% travel", "qualificationsBasic" : "B. S. or M. S. in Computer Science or Computer Engineering, Basic proficiency in C or C++, Exposure to Python and an ML framework, Familiarity with version control (Git)", "qualificationsPreferred" : "Exposure to edge ML deployment tools, Knowledge of embedded communication protocols, Exposure to cloud-connected IoT architectures", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "What You’ll Do Join our engineering team for a hands-on summer or co-op rotation spanning hardware bring-up, firmware development, and introductory machine learning on live solar energy systems. You’ll work directly with senior engineers and contribute meaningfully from day one. Key Responsibilities: Review and become familiar with hardware for solar monitoring and control systems, including MCUs, ADCs, and communication interfaces. Modify embedded firmware in C/C++ for real-time microcontroller environments (TI DSP), including device drivers, scheduling tasks, interrupt handling, and low-power modes. Port and adapt existing firmware to new hardware revisions and maintain version-controlled codebases. Conduct firmware testing, code reviews, and root cause analysis on field issues. Review current ML models for PV fault detection and performance optimization. Optimize and quantize trained models for deployment on edge devices with constrained compute and memory. Collaborate with data engineering teams to integrate ML outputs into monitoring dashboards and control loops. What We’re Looking For The skill you bring: Currently pursuing a B. S. or M. S. in Computer Science or Computer Engineering. Basic proficiency in C or C++ (coursework and personal projects accepted). Exposure to Python and an ML framework. Familiarity with version control (Git). Curiosity and willingness to work hands-on across hardware and software boundaries. Nice to Have: Exposure to edge ML deployment tools such as TensorFlow Lite or ONNX Runtime. Knowledge of embedded communication protocols (UART, SPI, I2C, CAN). Exposure to cloud-connected IoT architectures (AWS IoT, Azure IoT Hub). Benefits and Perks: Competitive Compensation Package Remote Flexibility with 5-15% travel to sites as needed Health Insurance: We offer 100% coverage of employee premiums under a Gold-level PPO plan. Dental & Vision Insurance: 50% of employee premiums are covered. Retirement Plan: A 401(k) plan with a 6% employer match. Additional Information: Minimum hourly rate of $30.00 to maximum hourly rate of $50.00 + benefits. The range provided is 1AP’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. About 1st Avenue Power: At 1st Avenue Power, we are on a mission to deliver simple, fast-to-deploy, customer-centric and intelligent power systems leveraging the abundance of solar to provide inexpensive and reliable clean energy to global customers from data centers to energy starved communities around the world. We envision a future where every community, business, and nation thrives on the limitless potential of clean energy, united in a shared commitment to a sustainable and equitable world. You will be working with Dr. Tom Buttgenbach, one of the most successful clean energy technology innovators and entrepreneurs who has been a driving force in making solar-based energy solutions the cheapest and most reliable energy option. Tom founded and led Avantus (formerly known as “8minute Solar Energy“), to become one of the largest and most profitable solar and energy storage companies in the United States and the largest in California, including delivering over 17% of Los Angeles’ power. When Tom sold his interest in Avantus’ development business to KKR in mid-2024, it had delivered over $1 billion in profit and secured over $10 Billion in power purchase agreements and project financings with a pipeline of over 30 GW of solar and 90 GWh of energy storage, capable of powering the homes of more than 20 million Americans day and night. Tom’s family office investment firm, 1st Avenue Capital, is building teams for the next generation of advanced solar power system architecture and AI to aggressively drive down the cost of and equitable access to clean and reliable energy.[1] 1st Avenue’s advanced large scale power systems are addressing the increasing inadequacy of the grid to meet the massively growing power demands of the digital economy, while its intelligent distributed solar utilities are leapfrogging the grid to provide equitable access to inexpensive, clean and reliable power to underserved communities around the world. 1AI Energy, the employing entity for 1st Avenue Power, and 1st Avenue Power are committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee based on race (inclusive of traits associated with race, including hair texture and protective hairstyles), color, religion, religious creed, national origin, ancestry, sex (including pregnancy, childbirth, and breastfeeding), age, veteran or military status, marital status, physical or mental disability, medical condition, genetic information, gender, gender identity, gender expression, sexual orientation, reproductive decision-making, or any other legally recognized protected class under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.. Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act (ADA), the California Fair Employment and Housing Act (FEHA), and local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on 1AI Energy or 1st Avenue Power. Please inform the company's personnel representative if you need assistance completing an application or to otherwise participate in the application process. Join our team and make a real difference in the world. [1: Additionally, 1st Avenue is in the business of acquiring projects where there has been a final notice-to-proceed or financial close.] California Pay Range $30—$50 USD", "summaryDescription" : "Embedded Systems & ML Engineering Intern at 1st Avenue Power. Skills: Embedded Systems, Firmware Development, Machine Learning. Review hardware for solar systems. Modify embedded firmware in C/C++", "postedDate" : "2026-06-15T23:23:57.339", "createdAt" : "2026-06-15T23:23:57.339", "lastUpdated" : "2026-06-16T08:55:21.778", "ingestTimestamp" : "2026-06-15T23:23:57.339", "mongoId" : "6a305b58f292fd229cf5ca02", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 62400, "salaryAnnualMax" : 104000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Hardware bring-up", "Firmware development", "Embedded systems", "Real-time systems", "Device drivers", "Scheduling tasks", "Interrupt handling", "Low-power modes", "Version control", "ML model deployment", "Edge computing", "Embedded Systems", "Firmware Development", "Machine Learning", "Code reviews", "Root cause analysis", "ML model optimization", "Model quantization", "Solar energy systems", "PV fault detection", "Edge devices", "Microcontrollers", "Real-time microcontroller environments", "Constrained compute", "Constrained memory", "IoT architectures", "Git", "TensorFlow Lite", "ONNX Runtime" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde4492beec4dd3d9a334a", "title" : "Intern Engineering Support", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 20.0, "max" : 22.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "UST-Texas-Sinton-Sinton Ae/San Patrico Co Maint", "locations" : [ "UST-Texas-Sinton-Sinton Ae/San Patrico Co Maint", "Hourly", "Nonexempt,
Sinton Ae/San Patrico Co Maint (16SNPTRCCO)
11571 US Hwy 181
US 181, 2 MI S OF SINTON
Sinton, 78387

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For many, it’s a milestone they’ve been striving toward, and an achievement they’re proud to claim. In fact, several members of our Executive Leadership Team began their careers as TxDOT summer interns. A paid summer internship offers a valuable chance to explore how TxDOT serves the people of Texas, apply and expand what you’ve learned in the classroom, and potentially open the door to future career opportunities with the agency. It’s no wonder so many students return year after year to rejoin the TxDOT team. At the TxDOT Corpus Christi District, you’ll join a team fueled by passion and purpose. Jump in, gain real‑world experience, and kick‑start your future. Choose TxDOT and ignite your brighter tomorrow today. Transcripts must be provided before hire will be completed. 20.00 22.00", "summaryDescription" : "Intern Engineering Support at TxDOT. Gain real-world experience. Kick-start your future", "createdAt" : "2026-06-14T06:45:34.370", "lastUpdated" : "2026-06-15T04:58:06.553", "ingestTimestamp" : "2026-06-14T06:45:34.370", "mongoId" : "69dde4492beec4dd3d9a334a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 41600, "salaryAnnualMax" : 45760, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.9 }, { "id" : "6a2ca64374d8ee00a09ba6ed", "title" : "Water/Wastewater Engineering Intern", "company" : "Apex Companies", "industry" : "Consulting", "salary" : { "min" : 36000.0, "max" : 52000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an Entry-level Water/Wastewater Engineering Intern in Fort Myers, Florida, adjusted for the engineering industry and internship employment type." }, "location" : "Fort Myers, Florida, United States", "locations" : [ "Fort Myers", "Florida", "United States" ], "timestamp" : "2026-06-15T22:40:02.401", "fingerprint" : "938f295bdbba75d8112e3c6d68abc08f0ace32698302d766adcea22d46030cb4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/apexcompanies/jobs/5257428008", "externalId" : "5257428008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Fort Myers", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "26.6406280,-81.8723084" } ], "locationText" : "Fort Myers, Florida, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "AutoCAD, GIS, Microsoft Excel, Microsoft Word, Microsoft Outlook", "professionalSkills" : [ "Project coordination", "Schedule tracking", "Budget management", "Permit preparation", "Technical writing" ], "hardSkillsList" : [ "Hydraulic modeling", "Pipeline design" ], "hardSkills" : [ { "name" : "Hydraulic modeling", "level" : "intermediate" }, { "name" : "Pipeline design", "level" : "intermediate" } ], "majorSkills" : "Utility infrastructure, Water systems, Wastewater systems", "majorSkillsList" : [ "Utility infrastructure", "Water systems", "Wastewater systems" ], "coreResponsibilities" : "Support project coordination, Track project schedules, Manage basic budget tasks, Perform designs on projects, Assist with permit preparation, Organize application materials, Track permit review status, Participate in construction observations, Assist with field notes, Assist with photographs, Assist with documentation, Support communication efforts, Support coordination efforts, Prepare technical documents, Assist with reports, Assist with calculations, Assist with project summaries, Assist with correspondence, Gain exposure to pipeline design, Gain exposure to pump stations, Gain exposure to hydraulic modeling, Gain exposure to treatment plants, Work in office environments, Work in field environments", "teamCollaboration" : "Project team coordination; Coordination with contractors; Coordination with inspectors; Coordination with owners; Coordination with agencies; Interaction with team members; Interaction with clients; Interaction with agencies", "projectManagementSkills" : [ "Schedule tracking", "Budget management" ], "domainKnowledge" : "Water systems; Wastewater systems; Reclaimed water systems; Utility infrastructure", "domainList" : [ "water-systems", "wastewater-systems", "reclaimed-water-systems", "utility-infrastructure" ], "domainSpecificKnowledge" : [ "Water systems", "Wastewater systems", "Reclaimed water systems", "Utility infrastructure" ], "toolProficiency" : [ "Microsoft Excel", "Microsoft Word", "Microsoft Outlook" ], "communicationSkills" : "Written communication; Verbal communication; Professional correspondence", "documentationSkills" : "Field notes; Photographs; Documentation; Technical documents", "continuousLearning" : "Internship exposure", "specialRequirements" : "Satisfactory driving record, Limited travel to project sites", "qualificationsBasic" : "Bachelor's degree in Civil or Engineering, Minimum 16 hours per week, Valid Florida driver’s license", "qualificationsPreferred" : "Targeting December 2026 graduation, Previous internship or coursework, Interest in water, wastewater, or utility infrastructure, AutoCAD experience desired, GIS experience desired", "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you driven to grow, lead, and make a meaningful impact? At Apex, we’re building more than a consulting and engineering firm—we’re creating a place where your career accelerates, your contributions matter, and your potential is fully realized. We believe your growth is our growth, which is why we invest in your development at every stage of your career. Here, you’ll work on projects that shape communities, protect the environment, and create lasting impact, all while being empowered with the autonomy and flexibility to do your best work. Fueled by high quality delivery, exceptional client retention, and strategic acquisitions, Apex Companies continues to rank among the fastest-growing firms in the AEC industry, recently recognized by the Zweig Group for our industry-leading growth. Our success is grounded in strong leadership, a collaborative culture, and a shared commitment to delivering exceptional outcomes. As we continue to grow, we’re focused on building a team of high-performing professionals who are ready to lead, collaborate, and push what’s possible. At Apex, you don’t just join a company, you help shape what comes next. Job Summary: The Engineering Intern will support the planning, design, and construction of utility infrastructure projects, including water, wastewater, and reclaimed water systems. This internship provides hands-on exposure to real-world civil engineering projects while working under the supervision of licensed professional engineers and project managers in both office and field settings. Your Responsibilities as an Engineering Intern: Assist project managers and engineers with utility infrastructure projects by supporting project coordination, schedule tracking, and basic budget-related tasks. Perform designs on engineering projects under direction of Project Manager. Assist with permit preparation by helping organize application materials and tracking permit review status. Participate in construction observations and field visits under supervision; assist with field notes, photographs, and documentation. Support communication and coordination efforts with construction managers, contractors, inspectors, owners, and permitting agencies as part of the project team. Prepare or assist with technical documents such as reports, calculations, project summaries, and professional correspondence. Gain exposure to water and wastewater pipeline design, pump stations, hydraulic modeling, and/or treatment plant projects. Work in office and field environments as required to support project needs. What we're looking for: Currently pursuing a Bachelor’s degree in Civil or Engineering or a related engineering discipline. Preferring students that are targeting December 2026 graduation. Can work minimum 16 hours per week on average during fall semester out of Fort Myers office. Previous internship or coursework related to civil or utility engineering desired. Interest in water, wastewater, or utility infrastructure projects. Strong written and verbal communication skills. AutoCAD, GIS experience desired. Proficiency with Microsoft Excel, Word, and Outlook. Ability and willingness to interact professionally with team members, clients, and regulatory agencies under guidance. Ability to work independently and collaboratively in a team environment. Must have a valid Florida driver’s license and a satisfactory driving record, as limited travel to project sites may be required. Sponsorship is not available now or in the future. Why you'll love working for us: Working with the best and brightest in the industry. 2,000+ employee national firm with 70+ locations across the US. Apex Job Title: Intern - Field Req ID: 11713 #LI-TB1 We believe in equality for all and celebrate the diversity and differences of our employees, customers, and communities. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Apex aims to make apexcos.com accessible to all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, please contact Talent@apexcos.com or (301) 417-0200. Likewise, feel free to reach out to us if you would like to view or discuss Apex policy related to equal employment opportunity or have any related concerns. EO/AA/VEV/Disabled Employer TO ALL RECRUITMENT AGENCIES: Apex Companies does not accept unsolicited agency resumes. Please do not forward resumes for any of our job postings to our career’s sites, or to any employees of Apex Companies or affiliates. Apex Companies is not responsible for any fees related to unsolicited resumes.", "summaryDescription" : "Water/Wastewater Engineering Intern at Apex Companies. Skills: Utility infrastructure, Water systems, Wastewater systems. Support project coordination. 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Verve is an ecosystem of demand and supply technologies fusing data, media, and technology together to deliver results and growth to both advertisers and publishers–no matter the screen or location, no matter who, what, or where a customer is. With 30 offices across the globe and with an eye on servicing forward-thinking advertising customers, Verve’s solutions are trusted by more than 90 of the United States’ top 100 advertisers, 4,000 publishers globally, and the world’s top demand-side platforms. Learn more at verve.com. What You Will Do Provide full supervision and support for the local data engineering pod, spanning both data-platform and analytics/reporting work streams. Manage team capacity, lead hiring to backfill and grow the pod, and define team charters that support a fast-evolving data platform roadmap. Foster a high-performance culture across a distributed organization (Bangalore and EU), onboarding recent hires and establishing strong operational discipline (on-call/IRM, runbooks, incident response). Plan and execute multi-quarter initiatives with many interdependencies (e.g., the data lakehouse re-architecture (Apache Flink on GKE), the dedicated CTV late-impression pipeline, and CI/CD automation (ArgoCD)) ensuring alignment with architectural standards. Refine the team's engineering processes, methodologies, and technical standards: code quality, infrastructure-as-code, deployment automation, observability, and cost optimization. Partner closely with Product Management, Backend Engineering, Data Science, and Analytics to align the platform roadmap with business objectives. Stay active in technical implementation (estimated 50-70% hands-on): designing pipelines, delivering new product features, reviewing architecture and code, addressing tech debts, and troubleshooting production data issues. Undertake production responsibilities including setting up monitoring and alerts, oncall support, troubleshooting, incident management and communication, and postmortem. Independently design maintainable and scalable data systems for complex, high-throughput streaming and batch pipelines. Be aware and manage the infrastructure cost of data systems. What You Will Bring Minimum of 8 years of experience in Data Engineering, with a focus on leadership in technical settings. AdTech industry expertise (specifically programmatic auctions and high-volume bid/impression/RTB data) is strongly preferred. Expert knowledge of Python and SQL. Deep, hands-on experience with distributed data processing and streaming: Apache Spark / Spark Streaming and Apache Flink. Strong experience operating high-throughput event streaming and messaging with Apache Kafka. Proficiency with the Google Cloud data stack (BigQuery, GKE, GCS, Dataflow/Vertex AI) and infrastructure-as-code (Terraform). Experience building and operating CI/CD for data pipelines (e.g., ArgoCD, containerized/Docker deployments). Working knowledge of lakehouse and open table formats (e.g., Iceberg/Delta) and the trade-offs between real-time and batch architectures (latency, cost, governance). Familiarity with analytics/OLAP and BI tooling (e.g., Druid, Looker, Rill/Turnilo) and dimensional data modeling. What We Offer Just a few of the benefits waiting for you at Verve: Keep healthy through our Apollo Health Check-ups, and stay covered with our Medical Insurance for you and your family Pick what matters most to you in our INR 4100/month Personalized Benefits Platform: Travel, entertainment, food, fitness, and healthcare Have us cover your office lunches 3 times a week through Zomato, and enjoy office sweets, snacks, and beverages Boost your professional knowledge with our annual training budget & internal webinars, and level up your language skills through our German/English classes Recharge with 19 paid vacation days + 3 Wellness days throughout the year, in addition to the public holidays Strengthen team connections while exploring new cultures through our monthly Work&Travel raffle, offering a chance to work from one of our global offices (after 2 years of employment) … and even more reasons to join us! Verve 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. If you are a California resident subject to the California Consumer Privacy Act, click here to understand how Verve processes your personal information and how you can exercise your rights. If you are located in the EU or UK visit our privacy policy to understand how Verve processes your personal information and how you can exercise your rights.", "summaryDescription" : "Data Engineering Manager at Verve", "postedDate" : "2026-06-14T19:09:22.437", "createdAt" : "2026-06-14T19:09:22.437", "lastUpdated" : "2026-06-16T03:00:18.472", "ingestTimestamp" : "2026-06-14T19:09:22.437", "mongoId" : "6a2c6b1474d8ee00a0910169", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69dde4492beec4dd3d9a32e6", "title" : "Intern Engineering Support", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 15.0, "max" : 22.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "UST-Texas-Childress", "locations" : [ "UST-Texas-Childress", "Hourly", "Nonexempt, " ], "timestamp" : "2026-06-15T05:14:20.987", "fingerprint" : "cbd5fe1d10f32df762d541750545d7eca3a467e4c6cbed02e6360a36ff849732", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=43158", "externalId" : "43158", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Childress", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.5196569,-100.2067656" } ], "locationText" : "Childress, Texas, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Gain hands-on experience, Apply skills in real-world settings", "domainKnowledge" : "Transportation engineering", "domainList" : [ "transportation-engineering" ], "domainSpecificKnowledge" : [ "Transportation engineering" ], "qualificationsBasic" : "Engineering student, Related science student", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Kickstart Your Engineering Journey with TxDOT! Looking to gain hands-on experience in transportation engineering while working alongside licensed professionals? The Texas Department of Transportation (TxDOT) Childress District's Childress Area Office is now accepting applications for Engineering Support Interns . This paid opportunity is ideal for students enrolled in engineering or related science programs who want to apply their skills in real-world settings. Internships are scheduled to begin in May 2026 and will run through the summer . Positions may also be evaluated for continuation on a year-round basis , offering a valuable pathway to grow your career with TxDOT. 15.00 22.00", "summaryDescription" : "Intern Engineering Support at TxDOT. Gain hands-on experience. Apply skills in real-world settings", "createdAt" : "2026-06-14T01:59:25.241", "lastUpdated" : "2026-06-15T05:14:20.987", "ingestTimestamp" : "2026-06-14T01:59:25.241", "mongoId" : "69dde4492beec4dd3d9a32e6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 31200, "salaryAnnualMax" : 45760, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Transportation engineering" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde4492beec4dd3d9a3345", "title" : "Intern Engineering Support", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 1900.0, "max" : 2188.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "UST-Texas-Paris-Paris/Lamar Co Ae/Maint", "locations" : [ "UST-Texas-Paris-Paris/Lamar Co Ae/Maint", "Hourly", "Nonexempt,
Paris/Lamar Co Ae/Maint (01LAMARCO)
3600 SW LOOP 286
Paris, 75460

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Annually we hire over 1,000 College and High School students from across Texas and beyond to be a part of the Texas Department of Transportation. Many of the TxDOT Executive Leadership team and District Leadership team were also paid interns at one time. A paid internship is a great opportunity to: explore what TxDOT has to offer to the citizens of Texas, expand your knowledge acquired from school, and possibly serve as a gateway to future job opportunities with the agency. Many of the students choose to come back to TxDOT year-after-year to rejoin our team. TxDOT’s Employment Program provides current high school and college students the opportunity to gain valuable paid hands-on experience. You have nothing to lose and lots to gain such as invaluable work experience that can carry you into the future. Make the choice and join TxDOT for your brighter tomorrow today. 19.00 21.88", "summaryDescription" : "Intern Engineering Support at TxDOT", "createdAt" : "2026-06-14T04:48:48.937", "lastUpdated" : "2026-06-15T09:48:48.350", "ingestTimestamp" : "2026-06-14T04:48:48.937", "mongoId" : "69dde4492beec4dd3d9a3345", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 3952000, "salaryAnnualMax" : 4551040, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.85 }, { "id" : "6a16291b58b93c861e959ed2", "title" : "Traffic Engineering Intern", "company" : "HDR", "salary" : { "min" : 41000.0, "max" : 58000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an entry-level Traffic Engineering Intern in Irvine, United States, with adjustments for seniority and internship employment type." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "timestamp" : "2026-06-15T10:37:21.910", "fingerprint" : "1e403292df215e17a40890e380fc0b349e72bf08a73f9ac312c90fa1a8c80ff7", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=772212", "externalId" : "772212", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "employmentType" : "PART_TIME", "communicationSkills" : "Communication skills", "problemSolvingSkills" : "Problem-solving skills", "qualificationsBasic" : "Undergraduate or graduate Engineering program enrollment, Attention to detail, Problem-solving skills, Communication skills, Basic Microsoft Office skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Required Qualifications Currently enrolled in an undergraduate or graduate Engineering program Attention to detail Possess strong problem-solving and communication skills Basic Microsoft Office skills An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. 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