Sr. Data Engineer - CX Analytics

Join Unum Group’s CX Analytics team and help power trusted BI/reporting and advanced analytics with scalable, reliable data solutions. This Sr. Data Engineer role is focused on end-to-end ownership of data domains and pipelines, including AI-enabled pipelines and LLM-based workflows designed to extract signal from sources such as raw text. Work in a flexible environment (hybrid in Portland, ME) while collaborating closely with Data Scientists and BI Analysts to build analytics-ready datasets with strong quality, usability, and performance.

Responsibilities

• Lead the development, construction, testing, and maintenance of complex data pipelines using a variety of languages and tools that align to business requirements.
• Integrate large volumes of data from multiple sources, including DB2, SQL Server, Web API, and Teradata.
• Apply validation, aggregation, and reconciliation techniques to build a rich data framework for analytics use.
• Partner with Data Scientists and business stakeholders to understand the business problem and shape data structures that fit the intended analytics approach.
• Define and meet scalability, extensibility, performance, and maintainability needs by promoting engineering processes appropriate for different use scenarios.
• Contribute to the evolution of enterprise data architecture, including adopting current and emerging data frameworks and tools (for example, hosting data in Cloud).
• Prepare results for interpretation and visualization, then communicate findings and potential value to influence decision-making across management and leadership.
• Integrate analytics solutions into existing business processes using automation techniques.
• Develop a strong command of current and emerging software engineering practices and apply them effectively.
• Provide support, training, and mentorship to lower-level Data Engineer peers.
• Perform other related duties as assigned.

Requirements

• Bachelor’s degree in a quantitative field (Master’s or PhD in a quantitative field preferred).
• Professional experience: 6 years or equivalent relevant experience preferred.
• Expertise in at least one relevant object-oriented language (Java/Scala or Python) and experience applying DevOps best practices including CI/CD, process automation, and optimization.
• Good understanding of data architecture principles and infrastructure requirements across on-prem and Cloud platforms.
• Ability to understand and present data in the right context, including how data builds toward a business solution.
• Preferred: expertise writing complex SQL queries that join multiple tables and databases.
• Preferred: ability to independently explore databases/tables or other legacy data to identify the best sources for business problems.
• Preferred: ability to troubleshoot complex SQL queries with limited guidance.
• Preferred: ability to create logical data models by combining data from multiple sources, including internal and external data.
• Demonstrated communication skills, strong experience in financial services, leadership experience working with senior and executive leadership, and attention to detail while prioritizing work and managing multiple projects.
• Provide guidance and direction on projects to less experienced staff.
• Actively coach and mentor peers and team members, especially in areas of expertise.
• Respond quickly and positively to change and promote change management.
• Provide technical leadership and direction for data science initiatives, ensuring output conforms to agreed quality attributes.
• Entrepreneurial self-starter; thorough, results-oriented problem-solver; lifelong learner with strong curiosity; demonstrated expertise within their organization; ability to conduct independent R&D for internal and external use.

Technologies

• DB2, SQL Server, Web API, Teradata
• Java, Scala, Python
• CI/CD, Cloud

Benefits

• Competitive benefits package including 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

General Summary: design, build, and maintain data solutions that enable BI/reporting and advanced analytics across the team, ensuring data is accessible, reliable, and structured for meaningful use. Own specific data domains and pipelines end-to-end, develop and optimize data models, integrate new data sources (structured and unstructured), and build supporting AI-enabled pipelines and LLM-based workflows. Use automation to scale analytics delivery, mentor other engineers, and partner with BI Analysts and Data Scientists to ensure environments, pipelines, and datasets are built with quality, scalability, and usability in mind. This is a campus-based role; current remote and field-based Unum employees may apply and will be considered in accordance with company policy.