✦ Luna Orbit — Data & Analytics

Senior ETL Developer

at Hartford Financial Services Group

📍 Wayne, PA Hybrid 💰 $100K – $140K USD / year Posted March 14, 2026
Salary $100K – $140K USD / year
Type Full-Time
Experience senior
Exp. Years 5+ years
Education Bachelor's or master's degree in computer science, Data Engineering, or related field
Category Data & Analytics

This role involves developing and maintaining scalable ETL pipelines, optimizing data workflows, and collaborating with teams to ensure efficient data processing in a cloud environment.

  • Design data pipelines
  • Optimize ETL processes
  • Collaborate with offshore teams
  • Maintain data models
  • Ensure data quality

The technical environment includes SQL, Python, cloud data platforms like Snowflake, Azure, Redshift, and tools for CI/CD and version control, focusing on data warehousing and pipeline optimization.

The ideal candidate is a senior ETL developer with over 5 years of experience in SQL, data pipelines, and cloud data platforms, capable of leading data integration projects and collaborating with offshore teams.

ETL developmentSQLData pipelinesCloud data platformsPythonData warehousing
Monitoring toolsAgileDevOpsOffshore team management
SnowflakeAzure SynapseRedshiftGit
ETL developmentSQLData pipelinesData modelingCloud data platformsPythonCI/CDVersion controlData warehousingData engineering
ETL DevelopmentSQLData PipelinesData ModelingCloud Data PlatformsPythonCI/CDVersion ControlData WarehousingData Engineering
Problem-solvingCollaborationCommunicationProactive mindsetTechnical leadership
Industry Insurance
Job Function Develop and manage scalable ETL data pipelines for analytics and reporting
Role Subtype Data & Analytics
Tech Domains Snowflake, Azure, Redshift, Git
ETL developmentSQLData pipelinesData modelingCloud data platformsPythonCI/CDVersion controlData warehousingData engineeringetl developmentsqldata pipelinescloud data platformspythondata warehousingci/cdversion controldata modelingdata engineering

Less than 5 years of ETL experience, Lack of experience with cloud data platforms, No SQL proficiency, Inability to work in hybrid environment

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