Sr. Data Engineer jobs in United States
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General Motors · 12 hours ago

Sr. Data Engineer

positionAustin, TX
timeFull-time
remoteHybrid
senioritySenior Level
date5+ years exp

General Motors is shaping enterprise-grade data products and platforms that power analytics, customer experiences, and operational insights at scale. The role involves designing, building, and operating reliable data pipelines while collaborating with various teams to deliver high-quality data solutions.

AutomotiveElectric VehicleInformation ServicesManufacturingTransportation
badNo H1Bnote

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

PythonSQLApache SparkCI/CDData modelingData securityStreaming pipelinesLakehouse technologiesData governanceData quality frameworksGit

Required

Bachelor's in Computer Science, Engineering, or equivalent experience will be considered in lieu of degree
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

Company

General Motors

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General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts.
dateFounded in 1908
location
Detroit, Michigan, USA
people-size10001+ employees
web-link
https://www.gm.com

Funding

Current Stage
Public Company
Total Funding
$8.51B
Key Investors
US Department of Energy
2025-05-05Post Ipo Debt· $2B
2024-10-31Grant· $8M
2024-07-11Grant· $500M

Leadership Team

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Mary Barra
Chair and Chief Executive Officer
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Tony Cervone
Senior Vice President, Global Communications
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Recent News

DBusiness Magazine
General Motors Moves into New Hudson’s Detroit Headquarters
2026-01-14
Chicago Tribune
GM nods to its heritage as it begins future at new Hudson’s Detroit HQ
2026-01-14
Investing
Citigroup says that General Motors’ electric vehicle reset could drive next leg of gains
2026-01-13
Company data provided by crunchbase