✦ Luna Orbit — Data & Analytics

Data Engineer II (Python/SQL, Data Bricks, AWS)

at Travelers

📍 2 Locations Hybrid 💰 $126K – $208K USD / year Posted March 13, 2026
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Position Details

Salary $126K – $208K USD / year
Type Full-Time
Experience mid
Exp. Years 8+ years
Education Bachelor's Degree in STEM related field or equivalent
Category Data & Analytics

About this role

This role focuses on developing and testing data pipelines, automating data workflows, and supporting large-scale data projects within a leading insurance company's analytics team.

Key Responsibilities

  • Build and test data pipelines
  • Automate data workflows
  • Perform data transformation and movement
  • Support AI and ML data needs
  • Collaborate with cross-functional teams

Technical Overview

The technical environment includes Python, SQL, AWS cloud platform, Databricks, Snowflake, ETL tools, and Terraform, emphasizing data transformation, automation, and large dataset handling.

Ideal Candidate

The ideal candidate is a mid-level data engineer with at least 8 years of experience in building robust data pipelines using Python, SQL, and cloud platforms like AWS and Databricks. They are skilled in automation, data transformation, and working with large-scale datasets.

Must-Have Skills

PythonSQLAWSDatabricksData PipelinesETLData TransformationData Movement

Nice-to-Have Skills

SnowflakeGen AITerraformData Automation

Tools & Platforms

AWSAmazon Web ServicesDatabricksSnowflakeTerraform

Required Skills

PythonSQLAWSAmazon Web ServicesDatabricksSnowflakeETLTerraformGen AIData PipelinesData TransformationData Movement

Hard Skills

PythonSQLAWSAmazon Web ServicesDatabricksSnowflakeETLTerraformGen AIData PipelinesData TransformationData Movement

Soft Skills

problem-solvingautomationcontinuous improvementcollaborationcommunication

Industry & Role

Industry Insurance
Job Function Develop and maintain scalable data pipelines and workflows to support enterprise analytics and AI initiatives.

Keywords for Your Resume

Data Engineer IIPythonSQLAWSAmazon Web ServicesDatabricksSnowflakeETLTerraformGen AIData PipelinesData TransformationData MovementData EngineeringData Solutions

Deal Breakers

Lack of experience with Python, SQL, or AWS, Less than 8 years of related experience, No experience with data pipelines or ETL tools

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