{"id":2378627,"url":"https://alion.io/job/general-motors-senior-data-engineer-2","title":"Senior Data Engineer","company":{"id":1705,"name":"General Motors","domain":"gm.com","url":"https://alion.io/company/general-motors-europe","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":125000,"max":168650,"currency":"USD","period":"year","gross":null,"usd_annual":168650},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"HBase","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-10-12T19:01:27Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-13T18:52:32Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Description\nThis role is categorized as hybrid. This means the successful candidate is expected to report to Austin Technical Center in Austin, TX or GM Global Tech Center in Michigan, MI three times per week, at minimum [or other frequency dictated by the business if more than 3 days].\nThe Role\nAs a Data Engineer with Fivetran tool focus, you will design, build, and optimize industrialized data assets and data pipelines in support of Business Intelligence and Advanced Analytics objectives. In this role within the Intelligent Manufacturing organization under Data Engineering Software, you will deliver high-quality, scalable solutions that meet both functional and non-functional business requirements. You will contribute to projects across databases, streaming technology, CI/CD, and cloud platforms.\nThe Intelligent Manufacturing teams are responsible for ideating, incubating, and delivering new plant data solutions for General Motors Manufacturing and our partners. We integrate with business and IT teams to develop real-time solutions that leverage plant floor data to improve decisions, plant asset maintenance, safety, and operational performance, as well as Vehicle Build Data.\nThis is a senior-level role that blends strong data engineering skills with modern software engineering practices. You will help lead and deliver innovative, scalable, and maintainable data-driven solutions-writing high-quality, tested, production-ready code that meets customer needs and scales without rework. You will work in a collaborative, cross-disciplinary environment, handle complex challenges, contribute to architectural discussions, and help shape solutions that improve performance, scalability, and maintainability, while also ensuring alignment with business priorities.\nWhat You’ll Do\nAssemble large, complex data sets that meet functional and non-functional business requirements.\nIdentify, design, and implement process improvements, including automation, data delivery optimization, and infrastructure redesign for scalability.\nLead and deliver data-driven solutions across multiple languages, tools, and technologies.\nDevelop and configure end-to-end data pipelines using Fivetran, ensuring efficient extraction, transformation, and loading (ETL) processes. Integration Setup: Connect multiple data sources (APIs, SaaS platforms, databases) to Fivetran and manage schema mapping and transformations.\nMonitor pipeline performance, troubleshoot issues, and implement improvements for scalability and reliability.\nContribute to architecture discussions, solution design, and strategic technology adoption.\nBuild and optimize highly scalable data pipelines incorporating complex transformations and efficient code.\nDesign and develop new source system integrations from varied formats (files, database extracts, APIs).\nDesign and implement solutions for delivering data that meets SLA requirements.\nWork with operations teams to resolve production issues related to the platform.\nApply best practices such as Agile methodologies, design thinking, and continuous deployment.\nDevelop tooling and automation to make deployments and production monitoring more repeatable.\nCollaborate with business and technology partners, providing leadership, best practices, and coaching.\nMentor peers and junior engineers; educate colleagues on emerging industry trends and technologies.\n Your Skills & Abilities (Required Qualifications)\nBachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent experience\n7+ years of data engineering/development experience, including Python or Scala, SQL, and relational/non-relational data storage. (ETL frameworks, big data processing, NoSQL)\n3+ years of experience in distributed data processing (Spark) and container orchestration (Kubernetes)\nProficiency in data streaming in Kubernetes and Kafka\nProven experience with Fivetran (pipeline setup, connectors, transformations)\nExperience with cloud platforms - Azure preferred; AWS or GCP also considered.\nSolid understanding of CI/CD principles and tools\nFamiliarity with big data technologies such as Hadoop, Hive, HBase, Object Storage (ADLS/S3), Event Queues.\nStrong understanding of performance optimization techniques such as partitioning, clustering, and caching\nProficiency with SQL, key-value datastores, and document stores\nFamiliarity with data architecture and modeling concepts to support efficient data consumption\nAdvanced understanding of data normalization and denormalization techniques.\nTranslate enterprise requirements into effective data models and address project requirements when applicable.\nDesign, build, and optimize scalable batch and streaming data pipelines using Databricks (Apache Spark, Delta Lake) to support Medalion Architecture.\nAutomate workflows and maintain clear documentation for all data processes.\nContribute to the design and operational management of a cloud-native data platform on Azure, integrating services such as Azure Data Lake Storage, Event Hubs, Azure SQL, and AKS.\nMonitor and troubleshoot data pipelines and platform workloads. Optimize Spark jobs, cluster configurations, and SQL warehouses to improve performance\nStrong collaboration and communication skills; ability to work across multiple teams and disciplines.\n What Can Give You a Competitive Advantage (Preferred Qualifications)\nMaster’s degree in Computer Science, Software Engineering, or related field\nKnowledge of data governance, metadata management, or data quality/observability\nFamiliarity with schema design and data contracts\nExperience handling various file formats (video, audio, image)\nExperience with Databricks, Snowflake, or similar platforms\nThis job may be eligible for relocation benefits.\nCompensation: \nThe expected base compensation for this role is: $125,000 - $168,650. Actual base compensation within the identified range will vary based on factors relevant to the position.\nBonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.\nBenefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.\nGM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)\n\nAbout GM\nOur vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.\nWhy Join Us\nWe believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.\nBenefits Overview\nFrom day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.\nNon-Discrimination and Equal Employment Opportunities (U.S.)\nGeneral Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.\nAll employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.\nWe encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.\nAccommodations\nGeneral Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. 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.","description_format":"text","description_chars":9127,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Life insurance","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Automotive Manufacturing"],"lifecycle":[{"event":"open","at":"2026-10-12T19:01:27Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 795 · green card filings: 1","filings_12m":795,"filings_prev_12m":812,"green_card_filings_12m":1,"median_offered_wage_usd":147456,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":8}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":5,"reasons":["conf:0","win:early","comp:brand"],"computed_at":"2026-10-13T05:45:00Z"},"pay":{"stated_usd_annual":168650,"is_top_pay":true},"html_url":"https://alion.io/job/general-motors-senior-data-engineer-2","json_url":"https://alion.io/job/general-motors-senior-data-engineer-2.json","meta":{"generated_at":"2026-10-13T21:19:09Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":32682,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1705},"rest":"https://alion.io/mcp/rest/get_company?id=1705"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgeneral-motors-senior-data-engineer-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgeneral-motors-senior-data-engineer-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgeneral-motors-senior-data-engineer-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/general-motors-senior-data-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgeneral-motors-senior-data-engineer-2"}]}