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Senior Data Engineer

Job in Hartford, Hartford County, Connecticut, 06112, USA
Listing for: Travelers Insurance
Full Time position
Listed on 2026-10-13
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 139000 - 230000 USD Yearly USD 139000.00 230000.00 YEAR
Job Description & How to Apply Below
Who Are We?

Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.

Compensation

Overview

The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.

As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.

Salary Range

$ - $

Target Openings

1

What Is the Opportunity?

Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Senior Data Engineer you will accelerate growth and transformation of our analytics landscape. You will bring a strong desire to guide team members' growth and develop data solutions that translate complex data into user-friendly terminology. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.

What

Will You Do?
  • Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions.
  • Design complex data solutions, including incorporating new data sources and ensuring designs are consistent across projects and aligned to data strategies.
  • Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes.
  • Incorporate core data management competencies including data governance, data security and data quality.
  • Act as a data and technology subject matter expert within lines of business 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 high complexity and correct as appropriate.
  • Collaborate across team to support delivery and educate end users on complex data products/analytic environment.
  • Perform other duties as assigned.
What Will Our Ideal Candidate Have?
  • Bachelor’s Degree in STEM related field or equivalent.
  • Ten years of related experience.
  • Hands‑on experience with dbt for modular, version‑controlled data transformation and integration, including models, tests, snapshots, and documentation across layered architectures.
  • Experience building and operating pipeline orchestration with tools such as Apache Airflow and Dagster, including authoring DAGs, managing dependencies, backfills, and observability.
  • Demonstrated experience delivering data solutions in AWS environments (e.g., S3, and related data services).
  • Strong data modeling skills and experience designing data products with a focus on usability, reusability, and consumer needs.
  • Experience leveraging AI tools to accelerate delivery velocity and improve engineering productivity.
  • Working knowledge of infrastructure underpinning data platforms, including infrastructure‑as‑code (e.g., Terraform) and access control via IAM systems and role‑based access control (RBAC).
  • Ability to think systematically and propose architectural solutions that deliver scalable, reusable data platform capabilities.
  • Solid understanding of and hands‑on experience…
Position Requirements
10+ Years work experience
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