Data Engineer I — Databricks & MLOps

The Travelers Indemnity Company; Hartford (CT); On-site; USD 109,000 - 180,000; Full time

Benefits offered by this job

Health Insurance

401(k) matching

Pension Plan

Paid Time Off

Wellness Program

Volunteer Rewards

Job summary

The Travelers Indemnity Company is seeking a Data Engineer to join the Data Engineering team in the United States. You will build data pipelines and deploy data solutions to support AI, ML, and BI initiatives across the enterprise.

The ideal candidate has deep experience with the Databricks platform, MLflow, and CI/CD tooling, with strong problem-solving and collaboration skills. This role emphasizes scalable data architectures and security-conscious data practices.

Qualifications

• Bachelor’s degree in STEM field or equivalent.

Responsibilities

• Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.
• Design data solutions.
• Analyze sources to determine value and recommend data to include in analytical processes.
• Incorporate core data management competencies including data governance, data security and data quality.
• Collaborate within and across teams to support delivery and educate end users on data products/analytic environment.
• Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate.
• Test data movement, transformation code, and data components.
• Perform other duties as assigned.

Skills

Data engineering

Analytical thinking

Communication

Leadership

Problem solving

Self-motivation

Collaboration

Attention to detail

Education

Bachelor’s degree in STEM

2+ years software/data engineering experience

Tools

Databricks platform

MLflow

Terraform

GitHub Actions

Databricks Asset Bundles

LLM orchestration

Job description

The Travelers Indemnity Company is seeking a Data Engineer to join the Data Engineering team in the United States. You will build data pipelines and deploy data solutions to support AI, ML, and BI initiatives across the enterprise.

The ideal candidate has deep experience with the Databricks platform, MLflow, and CI/CD tooling, with strong problem-solving and collaboration skills. This role emphasizes scalable data architectures and security-conscious data practices.