✦ Luna Orbit — Data & Analytics

Data Engineer II (AWS, Databricks, PySpark)

at Travelers

📍 3 Locations Hybrid 💰 $126K – $208K USD / year Posted March 13, 2026
Salary $126K – $208K USD / year
Type Full-Time
Experience mid
Exp. Years 8+ years
Education Bachelor's Degree in STEM related field or equivalent
Category Data & Analytics

This role involves building and managing large-scale data pipelines, ensuring data quality, security, and governance across enterprise data systems.

  • Build and operationalize data pipelines
  • Ensure data quality and security
  • Implement data governance
  • Manage data systems and teams
  • Optimize data architectures

The technical environment includes AWS, Databricks, PySpark, Snowflake, and data lake/warehouse architectures for data engineering and analytics.

The ideal candidate is an experienced data engineer with at least 8 years of experience, proficient in AWS, Databricks, and PySpark, with strong skills in data governance, security, and ETL development, capable of managing data teams.

Bachelor's Degree in STEM related field or equivalent8+ years of related experienceExperience with cloud platformsExperience with ETL developmentExperience with Snowflake or similar data warehouseExperience managing data teams
Experience with DatabricksPySparkData Lake architectureData GovernanceData Security
AWSDatabricksPySparkSnowflake
AWSDatabricksPySparkETLData LakeData WarehouseData EngineeringData GovernanceData SecurityData QualityData TransformationData Analysis
AWSDatabricksPySparkETLData LakeData WarehouseData EngineeringData GovernanceData SecurityData QualityData TransformationData AnalysisData Systems
leadershipmentoringcollaborationproblem-solvingcommunicationteam management
Industry Insurance
Job Function Managing enterprise data pipelines and systems for analytics and data governance
Data EngineerAWSDatabricksPySparkETLData LakeData WarehouseData GovernanceData SecurityData QualityData TransformationData Analysis

Less than 8 years of experience, No experience with AWS or Databricks, Lack of experience with ETL or data warehouse, No management experience

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