Sr. Data Engineer - CX Analytics

Unum•Portland, ME

2d•$89,400 - $183,500•Onsite

About The Position

We are seeking a Senior Data Engineer to join the CX Analytics team within our Customer Experience Organization. In this role, you will 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 across our team. You will own specific data domains and pipelines end-to-end, develop and optimize data models, and integrate new data sources across the ecosystem, including both structured and unstructured data. A core expectation of the role is building and supporting AI-enabled pipelines and LLM-based workflows that extract signal from sources such as raw text, alongside broader automation that scales how the team delivers analytics. As a hands-on builder, you will spend your time close to the work—writing code, developing pipelines, and solving technical problems daily—while helping shape standards and best practices for data engineering as the team grows. You will mentor other engineers and partner closely with BI Analysts and Data Scientists to support their work, ensuring environments, pipelines, and datasets are built with quality, scalability, and usability in mind. The ideal candidate is a strong problem solver and collaborator who can work across technologies and data domains, take ownership of complex work, and consistently deliver data solutions that support better decision-making across the organization. This is a campus-based role. Current remote and field-based Unum employees may apply and will be considered in accordance with company policy.

Requirements

Bachelor’s degree in quantitative field is required
6 years of professional experience or equivalent relevant work experience preferred
Core Data Engineer Capabilities: Deep expertise in at least two of the following, with basic capabilities in all others:
Software Engineering: Expertise in at least one relevant object-oriented programing language (i.e. Java/Scala, Python). Experience in DevOps best practice including CI/CD, process automation and optimization.
Data Architecture and Infrastructure: Good understanding of data architecture principles and related infrastructure requirements, covering on-prem and Cloud platforms.
Holistic Data Preparation: The ability to understand and present data in the appropriate context, including a good understanding how the data will build towards a business solution.
Data Extraction, Transform & Load: Preferred skills include: Expertise in writing complex SQL queries that join multiple tables/databases. Independently explore databases/tables or other legacy data content to identify best data sources to solve business problems. Demonstrates ability to troubleshoot complex SQL queries with little guidance. Demonstrates ability to create logical data models by combining data from multiple sources including internal and external data
Core business capabilities: Demonstrated communication skills, strong experience in financial services, leadership experience working with senior management and executive leadership, and attention to detail while effectively and independently prioritizing work and managing multiple projects simultaneously. Provides guidance and direction on projects to less experienced staff. Strong ability to understand and explain a problem and identify and communicate an appropriate solution.
Leadership Capabilities: Actively coaches and mentors peers and team members, especially within areas of expertise. Responds quickly and positively to change and is viewed as a promoter of change management. Provides technical leadership and direction for data science initiatives, ensuring output conforms to agreed upon quality attributes

Nice To Haves

Master’s or PhD in a quantitative field is preferred
Entrepreneurial self-starter.
A thorough, results-oriented problem-solver, and a lifelong learner with voracious curiosity.
Demonstrated expertise in their organization.
Ability to conduct independent research and development for use internally and externally

Responsibilities

Employ a variety of languages and tools to lead the development, construction, testing and maintenance of complex data pipelines, ensuring they support the requirements of the business.
Efficiently integrate large volume of data from different sources (including DB2, SQL Server, Web API and Teradata).
Apply validation, aggregation, and reconciliation techniques to create a rich data framework.
Work closely with the data scientists and business partners to understand the business problem they are trying to solve and the analytics solutions they plan to apply. Use this understanding to create appropriate data structures tailored for the specific problem.
Define scalability, extensibility, performance and maintainability requirements for the problem at hand and create data pipelines meeting requirements. Promote and lead development of solutions following appropriate engineering process that is fit to purpose for different use scenarios.
Gain a deep understanding of and drive the evolution of the enterprise data architecture including the application of current and emerging data frameworks and tools (eg hosting data in Cloud).
Efficiently prepares results for interpretation and/or visualization and communicates findings and potential value to influence manager, leadership, and business partner decision making.
Play a lead role in integration of solutions within existing business processes using automation techniques.
Gain a deep understanding of theory and application of current and emerging software engineering practices.
Provides support, training and/or mentorship to lower level Data Engineer peers.
Perform other related duties as assigned

Benefits

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
Performance Based Incentive Plans
401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not.