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.

Bachelor’s Degree in STEM related field or equivalent.
Ten years of related experience.
Demonstrated 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, with the ability to write performant, production-grade code for large-scale batch and/or streaming workloads.
Candidates coming from an Azure environment (e.g., Azure Data Factory, Synapse Analytics, Azure Databricks) will be considered, provided they demonstrate 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.

Health Insurance: Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment.
Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.
Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.
Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.
Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.

Senior Data Engineer, Underwriting Technical Lead

Key skills