✦ Luna Orbit — Data & Analytics

Sr Staff Data Engineer (Tech Lead) - Hybrid

at Hartford Financial Services Group

📍 4 Locations Hybrid 💰 $135K – $202K USD / year Posted March 14, 2026
Salary $135K – $202K USD / year
Type Full-Time
Experience senior
Exp. Years 5+ years
Education Not specified
Category Data & Analytics

This role involves leading the development and optimization of cloud-based data pipelines across multiple platforms, supporting analytics and AI initiatives.

  • Develop data pipelines
  • Support cloud migration
  • Ensure data security
  • Mentor data engineers
  • Optimize data flow

The technical environment includes AWS, Google Cloud Platform, Snowflake, and tools like AWS Glue, EMR, Redshift, and BigQuery, focusing on scalable data architecture.

The ideal candidate is a senior data engineer with 5+ years experience in building and optimizing cloud-based data pipelines using AWS, GCP, and Snowflake. They should have strong skills in data modeling, governance, and security, with experience mentoring teams.

ETLData PipelinesCloud PlatformsData ModelingData GovernanceData SecurityCI/CDDataOps
Generative AIData ProductsData VisualizationMachine LearningGCP BigQuery
AWSAmazon Web ServicesGCPGoogle Cloud PlatformSnowflakeAWS GlueEMRRedshiftGCP DataflowBigQuery
ETLELTData PipelinesAWSGCPSnowflakeAWS GlueEMRRedshiftGCP DataflowBigQueryData ModelingData GovernanceData SecurityCI/CDDataOpsPythonSQL
ETLELTData PipelinesAWSGCPSnowflakeAWS GlueEMRRedshiftGCP DataflowBigQueryData ModelingData GovernanceData SecurityCI/CDDataOpsPythonSQL
LeadershipCollaborationProblem SolvingMentoringCommunication
Industry Finance
Job Function Design and implement cloud data pipelines for analytics and AI
Role Subtype Data Engineer
Tech Domains Amazon Web Services, Google Cloud Platform, Snowflake, DataOps, ETL / ELT
data engineerETL pipelinesELT pipelinescloud data pipelinesAWSAmazon Web ServicesGCPGoogle Cloud PlatformSnowflakeAWS GlueEMRRedshiftBigQueryData modelingData governanceData securityCI/CDDataOpsPythonSQLdata pipelinescloud data engineeringgenerative AIdata visualizationmachine learning

Less than 5 years experience, Lack of cloud platform expertise, No experience with data pipeline tools

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