Senior Data Engineer

Travelers•Atlanta, GA

12d

About The Position

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. The Senior Data Engineer is a core contributor within the Travelers Data Engineering Chapter, operating across the DAVS BI domain. In this role, you will lead the design, development, and operationalization of enterprise-grade data pipelines that transform raw insurance and operational data into high-quality, analytics-ready assets, powering BI, Machine Learning, and AI initiatives across Travelers. As a Senior Engineer, you serve as a technical anchor within your engineering circle: mentoring peers, driving SDLC+ and engineering standards adoption, and partnering with business and data stakeholders to translate requirements into scalable, maintainable data solutions.

Requirements

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.

Nice To Haves

Bachelor’s Degree in STEM related field or equivalent.
Ten years of related experience.
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field
Experience with insurance domain data (policy, claims, underwriting, billing)
Knowledge of data governance frameworks and regulatory compliance (GDPR, CCPA, SOX)
Cloud certifications: AWS Certified Data Analytics, Azure Data Engineer, or GCP Professional Data Engineer
Experience with streaming data platforms (Kafka, Kinesis, Event Hubs)
Familiarity with data quality tools (Great Expectations, Deequ, Monte Carlo)
Contributions to open-source projects or technical community involvement
Experience with Agile/Scrum methodologies
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.

Responsibilities

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.

Benefits

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.

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