Senior Data Engineer, Underwriting Technical Lead

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. Job Category Data Analytics, Data Science, 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 $139,400.00 - $230,000.00 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. 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. What is a Must Have? Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience. 6 additional years of data engineering experience. What Is in It for You? 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. 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. Travelers reserves the right to fill this position at a level above or below the level included in this posting. #J-18808-Ljbffr