Senior Data Engineer

Job Posting End Date:
November 16

When you join the team at Unum, you become part of an organization committed to helping you thrive.

Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life’s moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide:
Award-winning culture Inclusion and diversity as a priority Performance Based Incentive Plans Competitive benefits package that includes:
Health, Vision, Dental, Short & Long-Term Disability Generous PTO (including paid time to volunteer!) Up to 9.5% 401(k) employer contribution Mental health support Career advancement opportunities  Student loan repayment options Tuition reimbursement

Flexible work environments
* All the benefits listed above are subject to the terms of their individual Plans.

And that’s just the beginning…  With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you’re directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today!

General

Summary:

This position is for an experienced Senior Data Engineer who will serve as a hands-on technical lead for data engineering across assigned Value Streams, providing technical leadership across at least two Value Streams, translating enterprise architecture standards, patterns, and governance guardrails into detailed, production-ready designs that engineering teams can successfully implement.

This is a 100% hands-on technical role. The Senior Data Engineer will actively design solutions, solve complex engineering challenges, make key technical decisions, review code and implementations, and guide engineers through delivery. The role will lead by doing, not simply coordinate the work.

The Senior Data Engineer will lead the design and delivery of complex data pipelines, ETL/ELT processes, data warehouses, data marts, data models, and integration solutions using technologies including Snowflake, SQL, Python, and modern ETL/ELT tooling. This individual will partner closely with architects, product owners, engineers, analysts, and business stakeholders to deliver scalable, reliable, secure, and maintainable data solutions. They will also play an important role in Value Stream transformation by establishing engineering best practices, leading design and code reviews, mentoring engineers, and driving consistency and technical excellence across teams.

Job Specifications:

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field preferred.
6+ years of experience in Data Engineering, Software Engineering, Data Integration, or related technical disciplines.

Demonstrated hands-on experience designing and building complex data pipelines, ETL/ELT solutions, data warehouses, data marts, and data models in large-scale enterprise environments.

Strong hands-on expertise with Snowflake, SQL, Python, and modern ETL/ELT technologies.

Experience working with cloud data platforms and integrating data through APIs, batch, near-real-time, and real-time integration patterns.

Deep knowledge of data modeling, data integration patterns, solution design, and modern data engineering practices.

Demonstrated ability to translate enterprise architecture patterns, standards, and guardrails into detailed, scalable, production-ready technical designs.

Proven experience serving as a hands-on technical lead, including making design decisions, conducting…