General Motors · 13 hours ago
Data Engineer
Warren, MI
Full-time
Hybrid
Mid, Senior Level
$129K/yr - $227K/yr
5+ years expGeneral Motors is a company focused on leading change towards a world with Zero Crashes, Zero Emissions, and Zero Congestion. They are seeking a Data Engineer to design, build, and operate data pipelines that support analytics and customer experiences, while ensuring data quality and security.
AutomotiveElectric VehicleInformation ServicesManufacturingTransportation
No H1B
Responsibilities
Architect and implement scalable ETL/ELT pipelines and services using modern data platforms and best practices
Build streaming and micro-batch data flows, including schema evolution, late/out‑of‑order events handling, and exactly‑once delivery semantics where feasible
Model data for analytics and ML using layered “bronze/silver/gold” patterns, with clear data contracts, SLAs, and lineage
Embed observability (logging, metrics, tracing), data quality checks, and cost/performance optimization into everything you ship
Automate testing and deployments with CI/CD
Collaborate with domain SMEs and data product owners to define requirements, acceptance criteria, and success metrics
Operate what you build: participate in on‑call/incident response rotations and drive RCA and preventative engineering
Qualification
Required
BS in Computer Science, Engineering, or equivalent experience
5+ years building data pipelines at scale with a modern data stack
Strong proficiency in Python and SQL, plus performance tuning of both
Hands-on experience with distributed compute (e.g., Apache Spark) and lakehouse/warehouse paradigms
Data modeling for analytics (dimensional/medallion), data contracts, and schema management
CI/CD (Git-based workflows) and infrastructure-as-code (e.g., Terraform) in a cloud environment
Practical knowledge of data security, privacy, and access control concepts
Preferred
Streaming pipelines with technologies such as Kafka (or similar), including stateful processing and backpressure management
Lakehouse technologies (e.g., Delta Lake/Iceberg/Hudi), file formats (Parquet/ORC), and table optimization (Z‑ordering, clustering)
Data governance and cataloging (e.g., Atlan/Unity Catalog/Collibra/Immuta) and automated lineage
Data quality frameworks (e.g., Great Expectations) and SLAs/SLOs for data products
Experience with Databricks or equivalent cloud data platforms and workload orchestration
Domain experience with IoT/telematics, energy, or mobility data is a plus
Benefits
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
Company
General Motors
General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$8.51BKey Investors
US Department of Energy
2025-05-05Post Ipo Debt· $2B
2024-10-31Grant· $8M
2024-07-11Grant· $500M
Leadership Team
Mary Barra
Chair and Chief Executive Officer
Tony Cervone
Senior Vice President, Global Communications
Recent News
The Motley Fool
2026-02-05
2026-02-05
2026-02-05
Company data provided by crunchbase