General Motors

Senior Data Engineer

General Motors

full-time

Posted on:

Location Type: Hybrid

Location: Warren • Missouri • Texas • United States

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Job Level

Senior

Tech Stack

ApacheCloudETLPythonSparkSQLTerraform

About the role

  • Join a team of builders shaping enterprise-grade data products and platforms that power analytics, customer experiences, and operational insights at scale.
  • Design, build, and operate reliable batch and streaming data pipelines.
  • 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.
  • Model data for analytics and ML using layered “bronze/silver/gold” patterns.
  • 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.

Requirements

  • 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.
Benefits
  • From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonSQLETLELTApache Sparkdata modelingCI/CDinfrastructure-as-codeperformance tuningdata quality checks
Soft skills
collaborationproblem-solvingcommunicationincident responserequirements definitionacceptance criteriasuccess metricspreventative engineering