✦ Luna Orbit — Data & Analytics

Senior Data Engineer

at Bristol-Myers Squibb

📍 2 Locations Hybrid 💰 $137K – $166K USD / year Posted March 14, 2026
Salary $137K – $166K USD / year
Type Not Specified
Experience senior
Exp. Years 5+ years
Education Bachelor's or Master's degree in Computer Science, Information Technology, or related field
Category Data & Analytics

This role involves designing and maintaining scalable data pipelines supporting research data products in a healthcare environment, with a focus on data quality and security.

  • Develop data pipelines
  • Integrate data sources
  • Ensure data quality and security
  • Optimize data workflows
  • Collaborate with data scientists

The position requires expertise in data engineering tools like Databricks, SQL, Python, and data governance frameworks to support healthcare research data platforms.

The ideal candidate is a senior data engineer with 5+ years of experience in designing and maintaining scalable data pipelines, proficient in Databricks, SQL, and Python, with a focus on healthcare research data environments.

SQLPythonDatabricksData Pipeline DevelopmentData Integration
Data GovernanceData SecurityPerformance OptimizationData ModelingETL
Databricks
Data Pipeline DevelopmentData IntegrationData ManagementSQLPythonDatabricksData GovernanceData SecurityPerformance OptimizationData Modeling
Data Pipeline DevelopmentData IntegrationData ManagementSQLPythonDatabricksData GovernanceData SecurityPerformance OptimizationData ModelingETL
collaborationproblem-solvingcommunicationdocumentationinnovationstakeholder engagement
Industry Healthcare & Medical
Job Function Build and maintain data pipelines for healthcare research
Role Subtype Data Engineer
Tech Domains Databricks, SQL / PostgreSQL, Python, Data Management, ETL
data pipeline developmentdata integrationdatabrickssqlpythondata governancedata securityperformance optimizationdata modelingETLdata managementcloud data engineeringbig datadata pipelinesscalable data pipelinesdata-driven decision making

Lack of experience with Databricks or SQL, No background in healthcare or research data, Insufficient experience in data pipeline development, Unwillingness to work in hybrid environment

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