Senior Data Engineer, Underwriting Technical Lead

Travelers; Hartford (CT); On-site; USD 139,400 - 230,000; Full time

Benefits offered by this job

Health Insurance

401(k) matching up to 5%

20 days paid time off annually

Wellness program

Job summary

Travelers is seeking a Senior Data Engineer to join their Data Engineering team in Hartford, Connecticut. This role involves constructing pipelines, guiding team members, and deploying data solutions to support AI, ML, and business intelligence.

The ideal candidate will have a bachelor’s degree in a STEM field, ten years of experience in data engineering, and expertise with AWS and Databricks.

Qualifications

• Bachelor’s Degree in STEM related field or equivalent.
• Ten years of related experience in data engineering.
• Expertise in designing, building, and maintaining scalable data pipelines.

Responsibilities

• Build and operationalize complex data solutions.
• Design data solutions incorporating new data sources.
• Perform analysis of complex data sources for value determination.

Skills

Data pipeline design

AWS core services

Databricks

AI/ML concepts

PySpark

Education

Bachelor’s degree in computer science or related STEM field

Tools

AWS (S3, Glue, Redshift, Lambda, EMR)

Azure Data Factory

dbt

Job description

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 for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary will be determined by factors such as scope, complexity, location, skills, education, training, credentials and experience of the candidate, and other conditions of employment. Employees are also eligible for performance-based cash incentive awards.

Salary Range $139,400.00 – $230,000.00

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 guide team members’ growth and develop data solutions that translate complex data into user-friendly terminology. You will design, build and deploy data solutions that capture, explore, transform and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.

Responsibilities

• Build and operationalize complex data solutions, correct problems, apply transformations and recommend data cleansing/quality solutions.
• Design complex data solutions, 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 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 and analytic environment.
• Perform data and system analysis, assessment and resolution for defects and incidents of high complexity.
• Collaborate across team to support delivery and educate end users on complex data products and analytic environment.
• Perform other duties as assigned.

Ideal Candidate

• Bachelor’s Degree in STEM related field or equivalent.
• Ten years of related experience.
• Expertise designing, building and maintaining scalable data pipelines on AWS, with hands‑on experience across core services such as S3, Glue, Redshift, Lambda, and/or EMR.
• Proficiency in Databricks, including development and optimization of data workflows and leveraging the Lakehouse architecture for large‑scale data processing.
• Solid understanding of AI/ML concepts, with the ability to collaborate with data science teams and support the deployment or operationalization of machine learning models within the data ecosystem.
• Hands‑on experience with dbt for data modeling, transformation and documentation, applying strong software engineering best practices to analytics workflows.
• Advanced proficiency in PySpark for distributed data processing, able to write performant, production‑grade code for large‑scale batch and/or streaming workloads.
• Experience in an Azure environment (e.g., Azure Data Factory, Synapse Analytics, Azure Databricks) is considered, provided a clear ability to operate effectively within an AWS‑based stack.
• Willingness to serve in a technical leadership capacity, including mentoring engineers, driving architectural decisions and partnering with stakeholders across engineering and the business.

Must Have

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

Benefits

• Health Insurance covering employees and eligible family members from day one.
• 401(k) matching up to 5% and a fully funded pension plan.
• Minimum of 20 days paid time off annually plus nine paid company holidays.
• Wellness program with resources and counseling services.
• Volunteer encouragement, including a matching gift and volunteer rewards program.

Employment Practices

Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you have specific questions regarding the physical requirements of this role, please contact us. Travelers reserves the right to fill this position at a level above or below the level included in this posting.