✦ Luna Orbit — Data & Analytics

Analytics Product Engineer, Data Products

at Travelers

📍 2 Locations Hybrid 💰 $109K – $180K USD / year Posted April 02, 2026
Salary $109K – $180K USD / year
Type Full-Time
Experience senior
Exp. Years Six years of related experience
Education Bachelor's degree in STEM field or equivalent
Category Data & Analytics

Analytics Product Engineer on Travelers’ Data Products team builds enterprise data pipelines and data products, owning backlog and delivering scalable solutions leveraging Python, SQL, Databricks, and AWS with GenAI capabilities.

  • Define and prioritize the product backlog and roadmap for our Analytics Data Products
  • Act as the voice of business stakeholders and analytics consumers
  • Design and build data models and scalable transformation pipelines
  • Document data lineage and upstream/downstream dependencies
  • Collaborate with IT, Data Platform, and business groups to meet real-world needs

Data engineering and product ownership with Python, SQL, Databricks on AWS; GenAI-enabled data products; emphasis on data governance and pipeline reliability.

Senior analytics product engineer with 6+ years in data engineering and product ownership, strong Python/SQL skills, and hands-on AWS/Databricks experience. Experienced in building scalable data pipelines and data products with governance and GenAI capabilities.

Bachelor's degree in STEM field or equivalentSix years of related experienceHands-on data engineering and product ownershipStrong analytics engineering with Python and SQLDemonstrated experience building and deploying scalable data pipelinesHands-on experience with AWS Cloud and DatabricksProficiency with cloud platforms and data toolingAbility to deliver work at a steadypredictable pace
GenAI capabilities in data productsDomain knowledge in insurance
PythonSQLDatabricksAmazon Web ServicesAWSAPIs
PythonSQLDatabricksAmazon Web ServicesGenerative AIData pipelinesData modelingData governanceETLAPIsbacklog managementstakeholder management
PythonSQLDatabricksAmazon Web ServicesAWSGenerative AIData pipelinesData modelingData governanceETLAPIsBacklog managementStakeholder management
strong verbal and written communicationcollaborationleadershipproblem solvingattention to detail
Industry Insurance
Job Function Own and deliver data product platforms and pipelines across the organization to enable analytics and business insights
Role Subtype data product engineer
Tech Domains Python, SQL / PostgreSQL, Amazon Web Services, Databricks, Generative AI, Data pipelines, Data modeling, Data governance, ETL, APIs
analytics product engineerdata productsdata engineeringpythonsqldatabricksawsamazon web servicesgenerative aidata pipelinesdata modelsdata governancestakeholder managementbacklog managementproduct ownerenterprise datamachine learningbusiness intelligenceetldata modeling
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