✦ Luna Orbit — Data & Analytics

Data Engineer Senior

at Progressive

📍 Remote, US Remote 💰 $120K – $131K USD / year Posted March 15, 2026
Salary $120K – $131K USD / year
Type Full-Time
Experience senior
Exp. Years 2+ years
Education Not specified
Category Data & Analytics

This role involves designing and maintaining scalable data pipelines and warehouses, supporting geospatial and satellite imagery data for analytics and reporting in the insurance industry.

  • Build data pipelines
  • Support geospatial data
  • Handle satellite imagery
  • Collaborate with vendors
  • Optimize data workflows

Utilizes Snowflake, AWS, SQL Server, and data orchestration tools to build robust data infrastructure, supporting complex geospatial and weather data workflows.

The ideal candidate is a senior data engineer with expertise in Snowflake, AWS, and SQL Server, experienced in building scalable data pipelines and handling geospatial and satellite imagery data, with strong collaboration skills.

SnowflakeAWSMicrosoft SQL ServerData PipelinesData Transformation
Geospatial DataWeather DataSatellite ImageryVendor catastrophe models
SnowflakeAWSMicrosoft SQL ServerRedShiftHVRPrefectDBT
SnowflakeAWSMicrosoft SQL ServerData PipelinesData Transformation
SnowflakeAWSAmazon Web ServicesMicrosoft SQL ServerRedShiftData PipelinesData ReplicationData OrchestrationData TransformationGeospatial DataWeather DataSatellite Imagery
collaborationpartneringproblem-solvingcommunicationteamwork

Preferred

AWS Certified Solutions ArchitectSnowPro Core Certification
Industry Insurance
Job Function Data engineering for large-scale data infrastructure
Role Subtype Data Engineer
Tech Domains Snowflake, Amazon Web Services, Microsoft SQL Server, Data Pipelines, Data Transformation
Data EngineerSnowflakeAWSAmazon Web ServicesMicrosoft SQL ServerRedShiftData PipelinesData TransformationGeospatial DataWeather DataSatellite ImageryData OrchestrationData ReplicationData EngineeringData SupportData Infrastructure

Lack of experience with Snowflake or AWS, No experience with data pipelines or transformation, No familiarity with geospatial or satellite data, No collaboration or problem-solving skills

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