Portland, ME

Developer Jobs in Portland, ME

2 jobs found

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Today

Principal Data Engineer - CX Analytics

Unum Group Portland, ME

Portland, ME

Today

$109k - $224k/yr Full time Business Analytics Cloud Operations Data

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Job Description

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

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Today

Sr. Data Engineer - CX Analytics

Unum Group Portland, ME

Portland, ME

Today

$89k - $184k/yr Full time Senior Business Analytics Data Analytics

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Job Description

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.

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Developer Jobs in Portland, ME

Principal Data Engineer - CX Analytics

Sr. Data Engineer - CX Analytics

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