✦ Luna Orbit — Data & Analytics

Data Engineer (MS Azure/ Databricks/ Process Optimization)

at Molina Healthcare

📍 United States Remote Posted March 26, 2026
Type Full-Time
Experience mid
Exp. Years 5+ years
Education Bachelor of Science in Computer Science or relevant field
Category Data & Analytics

Responsible for developing and maintaining healthcare reporting databases, ensuring data integrity, and optimizing SQL queries and stored procedures for reporting and analysis.

  • Develop SQL queries
  • Review code
  • Maintain data integrity
  • Support data governance
  • Optimize database performance

Develops SQL-based reporting databases, reviews queries, and facilitates data governance, working with tools like SSIS, SSRS, Azure, and Databricks.

The ideal candidate is a mid-level data engineer with at least 5 years of experience in SQL database development, data governance, and Azure Databricks, preferably with healthcare or Medicare experience. They are detail-oriented, collaborative, and capable of managing complex data workflows.

SQLDatabase developmentStored proceduresSQL queriesData governanceData analysisAzureDatabricks
PythonPower BITableauMedicare environment experience
SQL Server Integration Services (SSIS)SQL Server Reporting Services (SSRS)AzureDatabricks
SQLdatabase developmentstored proceduresSQL queriesdata governancedata analysisAzureDatabricksSSISSSRS
SQLDatabase developmentStored proceduresSQL queriesData governanceData analysisPythonAzureDatabricksSSISSSRS
Problem-solvingUnderstanding user requirementsCollaborationTechnical reviewAttention to detail
Industry Healthcare IT
Job Function Database development and data analysis in healthcare
Role Subtype Data Engineer
Tech Domains SQL, Azure, Databricks, SSIS, SSRS
sqldatabase developmentstored proceduressql queriesdata governancedata analysisazuredatabricksssisssrspythonpower bitableaumedicarehealthcaredata management

Lack of experience with SQL and database development, No experience with Azure or Databricks, Insufficient understanding of data governance

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