Principal Data Engineer - CX Analytics

Build and lead the data foundation for CX Analytics, enabling BI/reporting and advanced analytics through scalable pipelines and analytics-ready data models.

Responsibilities

• Partner with business stakeholders to deliver development, construction, testing, and maintenance of data pipelines that support business needs
• Integrate large volumes of highly complex data from multiple sources, including DB2, SQL Server, Web API, and Teradata
• Use validation, aggregation, and reconciliation techniques to produce a rich data framework
• Collaborate with data scientists and business partners to understand target business problems and planned analytics approaches
• Translate problem context into appropriate data structures tailored to specific analytics needs
• Establish and maintain best practices for the team’s data engineering strategy, staying current on industry practices and pursuing innovation and efficiency
• Contribute to the evolution of enterprise data architecture, including adoption of current and emerging data frameworks and tools (including hosting data in Cloud)
• Prepare outputs for interpretation and visualization, and communicate findings and potential value to support strategic decision making
• Support integration of solutions into existing business processes using automation techniques
• Continuously research and build on theory and practical application of current and emerging software and data engineering practices
• 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 (required)
• 8 years of professional experience or equivalent relevant work experience (preferred)
• Expertise in at least one relevant object-oriented programming language: Java/Scala or Python
• DevOps best practice experience, including CI/CD, process automation, and optimization
• Strong 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 supports a business solution
• Preferred: advanced SQL skills, including writing complex queries that join multiple tables and databases
• Preferred: independently explore databases/tables or other legacy data to identify best data sources for business problems
• Demonstrated ability to troubleshoot complex SQL queries with limited guidance
• Demonstrated ability to create logical data models by combining data from multiple sources, including internal and external data
• Demonstrated communication skills, experience in financial services, leadership experience with senior/executive leadership, and attention to detail while independently prioritizing work and managing multiple projects
• Demonstrated ability to understand and explain a problem and identify and communicate an appropriate solution
• Leader within the field (internally and externally)
• Natural coach and mentor who actively engages peers and team members, especially in areas of expertise
• Viewed as a leader in change management
• Maintains depth of technical understanding of third-party and cloud solutions
• People management experience: participates in determining staffing needs, including hiring and development
• Leads assigned teams to complete requested activities and projects
• Engineering and program management for the organization: coaches, mentors, and helps build the team
• Proactively identifies and researches new approaches and skills for data science and advanced analytics work
• Entrepreneurial self-starter
• Thorough, results-oriented problem-solver and lifelong learner with strong curiosity
• Deep expertise in their organization
• Demonstrated ability to conduct independent research and development of techniques that may be shared internally and externally

Technologies

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

Location

• Portland, ME (hybrid)

Compensation

• USD 109,100 - 224,000 per year

Benefits

• Health insurance
• Vision insurance
• Dental insurance
• 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

Additional Information

• Campus-based role; current remote and field-based Unum employees may apply and will be considered in accordance with company policy