✦ Luna Orbit — Data & Analytics

Data Engineer I (Databricks, AWS, Python)

at Travelers

📍 4 Locations Hybrid 💰 $109K – $180K USD / year Posted March 13, 2026
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Position Details

Salary $109K – $180K USD / year
Type Full-Time
Experience mid
Exp. Years 6+ years
Education Bachelor's Degree in STEM related field or equivalent
Category Data & Analytics

About this role

This role involves building and deploying AI/ML data pipelines, leveraging cloud platforms like AWS and Databricks, with a focus on innovative data solutions.

Key Responsibilities

  • Develop AI/ML data pipelines
  • Leverage cloud AI services
  • Optimize ETL workflows
  • Support innovative AI projects
  • Collaborate across teams

Technical Overview

Focus on AI/ML data pipelines, cloud computing, ETL processes, and big data tools such as Databricks and AWS, with experience in Python and SQL.

Ideal Candidate

The ideal candidate is a senior data engineer with over 6 years of experience, proficient in Python, SQL, AWS, and Databricks, with hands-on ETL and PySpark expertise. They should have experience with AI/ML projects and cloud services.

Must-Have Skills

Bachelor's Degree in STEM related field or equivalentSix years of related experienceExperience with PythonSQLAWSDatabricksHands-on ETL experience with PySparkExperience working with Cloud platform services

Nice-to-Have Skills

Utilize experience with OpenAI and AWS BedrockTerraform expertise

Tools & Platforms

DatabricksAWSPythonSQLTerraform

Required Skills

DatabricksAWSPythonSQLArtificial IntelligenceMachine LearningOpenAIAWS BedrockTerraformETLPySpark

Hard Skills

DatabricksAWSPythonSQLArtificial IntelligenceMachine LearningOpenAIAWS BedrockTerraform

Soft Skills

CollaborationAnalytical thinkingProblem-solvingInnovationTeamwork

Industry & Role

Industry Insurance
Job Function AI/ML data engineering and cloud-based analytics

Keywords for Your Resume

Data EngineerDatabricksAWSPythonSQLArtificial IntelligenceMachine LearningOpenAIAWS BedrockTerraformETLPySparkCloud platform services

Deal Breakers

Lack of experience with Databricks or AWS, Less than 6 years of experience, No hands-on ETL or PySpark experience

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