Data Engineer 1 - Multiple Teams

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.

Technology

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

$112,000.00 - $184,800.001As a Data Engineer I at Travelers, you'll contribute to how Business Insurance General Liability (GL) and CMP pricing decisions are powered by data. Working alongside Actuarial and Data Science partners, you'll help turn analytical ideas into trusted, production-grade assets that directly influence pricing outcomes across core insurance products.
You'll build growing domain expertise in GL and CMP while contributing to modernization efforts and evolving pricing capabilities. Through high-visibility initiatives, your work will help strengthen data reliability, model readiness, and long-term scalability across pricing platforms.
The ideal candidate is eager to grow as a data engineer, curious about the insurance domain, and energized by cross-functional collaboration. You'll be supported by experienced engineers and leaders who are invested in your development. Your contributions will help advance Travelers' pricing strategies in a dynamic and evolving insurance marketplace.

What Will You Do?

• 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.

What Will Our Ideal Candidate Have?

• Bachelor’s Degree in STEM related field or equivalent.
• Six years of related experience.
• Deep, hands-on experience with modern engineering tools and practices, including:
  • Cloud platforms (preferably AWS) and model implementation in the cloud
  • Programming in Python and SQL
  • Working with data engineering concepts and building/maintaining data pipelines
  • AI-native solutions and modern software engineering practices (e.g., APIs, microservices, test automation)
• Proven ability to deliver high-quality solutions at a steady, predictable pace:
  • Breaks work into small, releasable increments
  • Delivers complete, robust solutions while effectively managing tradeoffs
• Demonstrated domain expertise, including:
  • Strong understanding of relevant technical concepts and industry trends
  • In-depth knowledge of the systems you’ve worked on and familiarity with adjacent systems
• Strong problem-solving skills with a focus on building resilient, long-lived systems and finding innovative ways to resolve issues.
• Excellent written and verbal communication skills, with the ability to collaborate effectively with engineers, product partners, and business stakeholders.
• Proven experience leading or mentoring other engineers and helping to create a safe, inclusive environment where others can learn and grow.
• Self-motivated, with a track record of proactively identifying opportunities, driving improvements, and following through on team efforts.
• Preferred, Not Required:
  • Experience in or exposure to the insurance industry, or a strong desire to learn the domain.
  • Experience with Infrastructure as Code and DevOps tooling, such as Terraform and CI/CD pipelines.

What is a Must Have?

• Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience.
• 2 additional years of software/data engineering experience.