✦ Luna Orbit — Data & Analytics

Staff Data Engineer - GPSC Insights Engineering

at General Motors

📍 Austin, Texas, United States of America Hybrid 💰 $165K – $270K USD / year Posted March 13, 2026
Salary $165K – $270K USD / year
Type Not Specified
Experience lead
Exp. Years 7+ years
Education Not specified
Category Data & Analytics

This role involves leading the design and implementation of scalable data solutions for supply chain insights, supporting analytics and strategic decision-making.

  • Lead data engineering projects
  • Design scalable data solutions
  • Implement CI/CD pipelines
  • Ensure data governance and quality
  • Collaborate across teams

The technical scope includes data pipeline development, cloud platform integration, CI/CD practices, and adherence to software engineering principles, with a focus on high-quality, maintainable data systems.

The ideal candidate is a senior or lead data engineer with extensive experience in designing scalable data solutions, leading projects, and implementing best practices in data governance and cloud environments. They should have strong leadership and collaboration skills.

Experience leading data engineering projectsDesign and build scalable data solutionsKnowledge of software engineering principlesExperience with CI/CD and cloud platforms
Experience with streaming technologyKnowledge of APIs and system integrationsExperience with modern data tools
CI/CD toolsCloud platformsDatabasesStreaming technologies
Data EngineeringData PipelinesSQLData ArchitectureData GovernanceCI/CDCloud PlatformsDesign PatternsTesting
Data EngineeringData PipelinesSQLData ArchitectureData GovernanceCI/CDCloud PlatformsModern Data EngineeringDesign PatternsTesting
LeadershipCollaborationDecision-makingCreativityProblem-solving
Industry Automotive / Supply Chain / Data Solutions
Job Function Leading data engineering initiatives for supply chain insights
Data EngineerData PipelinesSQLData ArchitectureData GovernanceCI/CDCloud PlatformsDesign PatternsTestingLeadershipData EngineeringCloud

Lack of leadership experience in data engineering, No experience with cloud platforms or CI/CD, Insufficient knowledge of data architecture, Unwilling to work in a hybrid environment

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