Jobs / United States / General Motors Company
Senior Data Engineer
General Motors Company · 🇺🇸 Austin, Texas, United States of America
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 roles1 certified filing for “Data Engineer” (Data Scientists) in TX: $182k–$182k, median $182k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. The pay stated here ($125,000 - $168,650) is below what this employer usually pays sponsored hires for this role. 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 three times per week, at minimum [or other frequency dictated by the business if more than 3 days]. The Role The GM Energy Data Engineering team is on the lookout for a talented Data Engineer who is a highly skilled and hands-on Cloud Data Warehouse engineer with experience in IoT data integration, Snowflake, Databricks, and Apache Flink. The selected candidate will play a pivotal role in designing, implementing, and optimizing scalable cloud-based data warehouse solutions, including an Operational Data Store (ODS) to serve as a speed layer for advanced analytics and business intelligence initiatives. What You’ll Do • Develop cloud data warehouse solutions leveraging Databricks and Kubernetes. • Implement robust data pipelines to ingest, process, and store IoT data from diverse sources. • Integrate and manage large-scale datasets using Apache Iceberg for efficient, reliable, and scalable data lake operations. • Build an Operational Data Store (ODS) to function as a speed layer, enabling rapid access for near real-time use Cases. • Collaborate with data engineers, analysts, and business stakeholders to understand requirements and deliver scalable solutions. • Optimize data models, storage, and compute resources for performance and cost efficiency. • Ensure data quality, security, and compliance across all cloud data platforms. • Setting up monitoring tools and dashboards to track pipeline health, diagnose issues, and optimize performance. • Stay current with industry trends and best practices in data management, ODS technologies, and API development. Your Skills & Abilities (Required Qualifications) • Bachelor’s in software engineering, Computer Science, Information Technology, or a related field or equivalent experience. • 7+ years experience designing, developing, and supporting enterprise applications. • Proven in implementing cloud data warehouses using Databricks, Snowflake or any other data platform. • Hands-on experience with Apache Flink or Spark for data lake pipelines. • Experience designing and building Operational Data Stores (ODS) as speed layers for analytic environments. • Experience with IoT data ingestion, processing, and analytics. • Strong proficiency in SQL, Python, Java and ETL tools. • Proven cloud experience and strong familiarity with at least one cloud platform (Microsoft Azure - preferred, AWS, GCP). • Experienced in proactive issue detection leveraging anomaly detection techniques, with a strong focus on monitoring pipeline performance, ensuring system reliability, and identifying bottlenecks through observability metrics. • Good understanding and experience with CI/CD practices. What Can Give You a Competitive Advantage (Preferred Qualifications) • Experience with Databricks platform and Databricks certifications. • Experience with real-time data streaming technologies (e.g., Kafka, Spark Streaming, Flink). • Knowledge of data governance and security best practices. • OCPP Protocol expertise This job may be eligible for relocation benefits. Compensation: • The 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. • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. • Benefits: 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, tu