Data Engineer at General Motors

Warren, Michigan, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, TechnologyIndustries

Requirements

Bachelor's in Computer Science, Engineering, or equivalent experience (degree not strictly required)
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

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

Skills

Python

SQL

Apache Spark

ETL

ELT

Databricks

Airflow

Parquet

Delta

Iceberg

Git

CI/CD

observability

General Motors

Designs, manufactures, and sells vehicles

About General Motors

General Motors designs, manufactures, and sells vehicles and vehicle parts, catering to individual consumers, businesses, and government entities. The company operates in both traditional internal combustion engine vehicles and the growing electric vehicle (EV) market, generating revenue through vehicle sales and financing services. GM stands out from competitors with its commitment to community service, sustainability, and diversity, as evidenced by a majority female Board of Directors. The company's goal is to balance traditional automotive manufacturing with technological advancements in electric and autonomous vehicles.

Detroit, MichiganHeadquarters

1908Year Founded

$486.7MTotal Funding

IPOCompany Stage

Automotive & Transportation, Financial ServicesIndustries

10,001+Employees

Benefits

Paid Vacation

Paid Sick Leave

Paid Holidays

Parental Leave

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

401(k) Company Match

401(k) Retirement Plan

Tuition Reimbursement

Student Loan Assistance

Flexible Work Hours

Discount on GM vehicles

Risks

Shutting down Cruise Robotaxi may affect investor confidence in GM's AV strategy.

Chevrolet Equinox EV recall could harm GM's safety reputation.

Leadership transition in design may disrupt continuity and brand identity.

Differentiation

GM's Dynamic Fuel Management system enhances fuel efficiency in traditional vehicles.

GM leads in board diversity with 55% women directors.

GM's pivot to personal autonomous vehicles aligns with consumer trends.

Upsides

Partnership with Nvidia boosts GM's autonomous vehicle technology capabilities.

Collaboration with ChargePoint expands EV charging infrastructure, enhancing consumer appeal.

Bryan Nesbitt's appointment as design head may bring innovation to GM's vehicle design.

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