Senior Data Engineer

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.

- 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 with cyber security concepts and the evolving cyber threat landscape. - Familiarity with the cyber insurance industry is a plus (desirable, not essential). - A growth mindset driven by curiosity, a commitment to continuous improvement, and a focus on delivering measurable business value. - Advanced knowledge of tools, techniques, and manipulation including cloud platforms, programming languages, and modern software engineering practices. - Strong delivery skills including the ability to determine the software design strategy and methodology to be used for efforts, use automated tests, analysis, and informed feedback loops to ensure the quality and production readiness of work before release, monitor the health of work efforts and that of adjacent systems. - Demonstrated track record of domain expertise including the ability to develop business partnerships and influence priorities by identifying solutions that are aligned with current business objective and closely follow industry trends relevant to domain, understanding how to apply them, and sharing knowledge with coworkers. - Strong problem solver who utilizes data and proofs of concepts to find creative solutions to difficult problems involving a significant number of factors with broad implications, reflects on solutions, measures impact, and uses that information to ideate and optimize. - Excellent communication skills with the ability to develop business partnerships, describe technology concepts in ways the business can understand, document initiatives in a concise and clear manner, and empathetically and attentively listen to others thoughts and ideas. - Ability to lead and take action even when there is no clear owner, inspire and motivate others, and be effective at influencing team members.

- 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.