Jobs / United States / General Motors Company
Staff Data Engineer - GM Motorsports
General Motors Company · 🇺🇸 Remote - United States · Remote
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 The Role The Staff Data Engineer is an expert-level individual contributor who sets technical direction for complex Motorsports data engineering initiatives. This role works independently with broad latitude, applies deep expertise and sound judgment to ambiguous problems, and delivers solutions with measurable impact across teams and functional areas. The role will lead architecture and engineering practices for real-time data ingestion, telemetry, data quality, cloud platforms, and race-day operational systems. The Staff Data Engineer will influence technical decisions across the organization, mentor engineers, and partner with engineering, data science, platform, product, and racing stakeholders to deliver durable business outcomes. What You’ll Do • Set technical direction and develop target-state architecture for complex, cross-system data platforms and products. • Lead large, high-visibility initiatives that integrate multiple teams, disciplines, technologies, and stakeholder needs. • Design and implement innovative, scalable solutions for real-time ingestion, telemetry, event and session data, data quality, and analytical products. • Exercise independent judgment to analyze complex problems, select appropriate methods, evaluate tradeoffs, and make durable technical decisions. • Establish and own measurable technical and operational outcomes, including reliability, data quality, throughput, cycle time, recovery, and service-level performance. • Develop standards, policies, methods, and reusable patterns for schemas, data contracts, observability, testing, deployment, security, and recovery. • Lead technical planning, dependency management, risk identification, and sequencing for roadmap and race-critical work. • Anticipate and escalate risks that could affect customers, race operations, delivery commitments, or functional outcomes, while providing actionable recommendations. • Improve operational reliability through incident leadership, root-cause analysis, automation, runbooks, and permanent corrective actions. • Influence adoption of new approaches through data, clear communication, persuasion, and collaboration across teams with differing priorities or practices. • Serve as a technical resource and indirect leader by mentoring engineers, guiding design reviews, and raising engineering capability across the organization. • Partner with stakeholders to understand customer and business needs and translate them into scalable data solutions. • Champion change management and continuously improve engineering processes, tools, and ways of working. Your Skills & Abilities (Required Qualifications) • Deep expertise in data engineering, distributed systems, cloud platforms, and production software development. • Demonstrated experience setting technical direction and delivering complex solutions spanning multiple teams or functional areas. • Strong programming experience in Python, Java, Scala, or a comparable language. • Experience designing and operating streaming and batch data pipelines at production scale. • Strong knowledge of data modeling, schema evolution, data quality, observability, testing, deployment, and incident response. • Demonstrated ability to work independently on ambiguous problems and make decisions with broad business and technical implications. • Experience influencing stakeholders and gaining adoption of new architectures, processes, or technical practices without relying on direct authority. • Strong communication, collaboration, technical writing, and mentoring skills. What Will Give You a Competitive Edge (Preferred Qualifications) • Experience with Databricks, Apache Kafka, Flink, Spark, Kubernetes, AWS, Azure, or comparable technologies. • Experience with real-ti