✦ Luna Orbit — Data & Analytics

Senior Data Engineer - GPSC Insights Engineering

at General Motors

📍 Austin, Texas, United States of America Hybrid 💰 $134K – $219K USD / year Posted March 13, 2026
Salary $134K – $219K USD / year
Type Full-Time
Experience senior
Exp. Years 7+ years
Education Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent experience
Category Data & Analytics

This role involves designing, building, and optimizing scalable data solutions for global supply chain analytics at General Motors, focusing on data pipelines, cloud integration, and advanced analytics.

  • Assemble large data sets
  • Design process improvements
  • Lead data-driven solutions
  • Contribute to architecture discussions
  • Develop automation and tooling

The technical environment includes Python, Scala, SQL, cloud platforms, streaming technology, CI/CD, and data warehousing tools, supporting enterprise-level data engineering projects.

The ideal candidate is a senior data engineer with over 7 years of experience in designing and optimizing data pipelines, proficient in Python, Scala, and SQL, with strong knowledge of cloud platforms and streaming technologies. They excel in collaborative environments and have a strategic mindset for scalable data solutions.

Bachelor's degree in Computer ScienceSoftware Engineeringor related field7+ years of data engineering/development experiencePython or ScalaSQLRelational and non-relational databases
Cloud architectureData streamingCI/CD pipelinesData modelingData warehousing
Cloud platformsDatabasesStreaming technologyCI/CD tools
PythonScalaSQLData pipelinesStreaming technologyCI/CDCloud platformsData engineeringData assetsData integrationData transformationAgile methodologies
PythonScalaSQLData pipelinesStreaming technologyCI/CDCloud platformsData engineeringData assetsData integrationData transformationAgile methodologies
collaborativeleadershipproblem-solvingcommunicationteamworkstrategic thinking
Industry Manufacturing
Job Function Design and implement scalable data pipelines and solutions for analytics and BI
Data EngineerPythonScalaSQLData pipelinesStreaming technologyCI/CDCloud platformsAgile methodologiesData assetsData integrationData transformationData modelingRelational databasesNon-relational databases

Less than 7 years of data engineering experience, Lack of experience with Python or Scala, No experience with cloud platforms, No experience in data pipeline development

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