Jobs / United States / General Motors Company
Senior Data Engineer
General Motors Company · 🇺🇸 2 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 606 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 267 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What General Motors Company paid sponsored hires in similar roles2 certified filings for “Senior ML Engineer - Embodied AI Offboard Percepti” (Data Scientists) in CA: $230k–$240k, median $235k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — General Motors Company
The US Department of Labor certified 606 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 267 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for General Motors Company →
About the role
Job Description This 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]. The Role As 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. The 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. This 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. What You’ll Do • Assemble large, complex data sets that meet functional and non-functional business requirements. • Identify, design, and implement process improvements, including automation, data delivery optimization, and infrastructure redesign for scalability. • Lead and deliver data-driven solutions across multiple languages, tools, and technologies. • Develop 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. • Monitor pipeline performance, troubleshoot issues, and implement improvements for scalability and reliability. • Contribute to architecture discussions, solution design, and strategic technology adoption. • Build and optimize highly scalable data pipelines incorporating complex transformations and efficient code. • Design and develop new source system integrations from varied formats (files, database extracts, APIs). • Design and implement solutions for delivering data that meets SLA requirements. • Work with operations teams to resolve production issues related to the platform. • Apply best practices such as Agile methodologies, design thinking, and continuous deployment. • Develop tooling and automation to make deployments and production monitoring more repeatable. • Collaborate with business and technology partners, providing leadership, best practices, and coaching. • Mentor peers and junior engineers; educate colleagues on emerging industry trends and technologies. Your Skills & Abilities (Required Qualifications) • Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent experience • 7+ years of data engineering/development experience, including Python or Scala, SQL, and relational/non-relational data storage. (ETL frameworks, big data processing, NoSQL) • 3+ years of experience in d