✦ Luna Orbit — Data & Analytics

Senior Data Engineer

at General Motors

📍 3 Locations Hybrid 💰 $153K – $269K USD / year Posted March 13, 2026
Salary $153K – $269K USD / year
Type Full-Time
Experience senior
Exp. Years 7+ years
Education Not specified
Category Data & Analytics

This role involves designing and building scalable, cloud-native data pipelines using Azure and Databricks to support analytics and decision-making in a fast-paced automotive environment.

  • Design data pipelines
  • Implement best practices for data engineering
  • Collaborate with cross-functional teams
  • Drive DevOps adoption
  • Ensure data quality and governance

The technical environment includes Azure Data Services, Databricks, Python, SQL, Apache Spark, CI/CD pipelines, and DevOps practices, with a focus on data governance and CRM integration.

The ideal candidate is a senior data engineer with over 7 years of experience in cloud-native data solutions, particularly with Azure and Databricks. They possess strong programming skills in Python and SQL, and have a solid understanding of data governance and DevOps practices in a hybrid environment.

7+ Years Data Engineering ExperienceDatabricksAzurePythonSQLApache SparkCI/CD pipelinesGitDevOps toolscloud architecturedata security
TerraformARM templatesSalesforce CRMCRM-AData Clouddata governance frameworks
Azure DatabricksAzure Data FactoryAzure Data LakeAzure SynapseGitTerraformARM templates
Azure DatabricksAzure Data FactoryAzure Data LakeAzure SynapsePythonSQLApache SparkData pipelinesCI/CDDevOpsTerraformARM templatesCRM data integrationData governancecloud-native technologies
Azure DatabricksAzure Data FactoryAzure Data LakeAzure SynapsePythonSQLApache SparkData pipelinesCI/CDDevOpsTerraformARM templatesCRM data integrationData governanceCloud-native technologies
collaborationproblem-solvingagile environmentcommunicationteamwork
Industry Automotive, Data Engineering, Cloud Computing
Job Function Build and optimize scalable data solutions in a cloud environment
Senior Data EngineerAzure DatabricksAzure Data FactoryAzure Data LakeAzure SynapsePythonSQLApache SparkCI/CDDevOpsTerraformARM templatesCRM data integrationData governancecloud-native technologiesData pipelinesData securitycloud-native

Less than 7 years of data engineering experience, Lack of experience with Azure Databricks or Azure Data Services, No experience with CI/CD or DevOps tools, Inability to work in a hybrid environment, No experience with CRM data integration

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