Portland, ME

Developer Jobs in Portland, ME

4 jobs found

Include remote jobs

1mo ago

Machine Learning Engineer

IDEXX Portland, ME

Portland, ME

1mo ago Closed

$115k+/yr Full time Artificial Intelligence AWS Aws Sagemaker

This position is no longer accepting applications (closed Sep 18, 2026).

Job Description

The Machine Learning Engineer role within IDEXX’s AI Enablement Team focuses on the infrastructure and pipelines that deploy, serve, and monitor machine learning models in production. This hybrid position is based in Portland, ME and requires 2 days per week in the office.

Responsibilities

Build and maintain scalable infrastructure and pipelines for model deployment and production inference (supporting model enablement rather than model development).
Collaborate with Data Scientists and Product Teams to turn model outputs into production-ready services.
Improve scalability, performance, and reliability across inference workflows.
Design and implement data pipelines that support machine learning enablement workflows.
Participate in code reviews to support quality and alignment with engineering best practices.
Apply established software design patterns and contribute to architectural discussions.
Evaluate and implement practical improvements to ML enablement processes.
Contribute to an AI Development Platform that enables adoption of AI capabilities across the enterprise.
Work with Data Engineering and DevOps to build robust processing workflows and pipelines.
Partner with product management and engineering teams to identify reusable datasets, components, and infrastructure.
Make implementation decisions that balance cost, time, and technical capability.
Collaborate with senior team members, learn from them, and share knowledge with peers.
Contribute to assigned workstreams to ensure successful and timely delivery.
Work independently on well-defined problems, escalating ambiguous or high-impact decisions as needed.

Requirements

3 to 5 years of experience in a machine learning engineering or related role.
Strong programming skills in Python, with additional languages considered a plus.
Experience building scalable data processing and applications that enable machine learning.
Basic knowledge of Spark for data processing.
Understanding of sound software engineering practices, including testing and CI/CD.
Working knowledge of AI/ML concepts, with some hands-on experience supporting models in production environments.
Familiarity with ML stacks such as Databricks, Delta Tables, AWS (EC2, S3, SageMaker), and containerization tools like Docker.
Basic knowledge of data engineering (SQL, NoSQL, Big Data), cloud architecture, and Agile methodologies.
Strong analytical and problem-solving skills, with the ability to adapt as technologies evolve.
Good communication skills to collaborate with data scientists, engineers, and stakeholders.

Key Technologies

Python, Spark, Databricks, Delta Tables
AWS: EC2, S3, SageMaker
Docker, SQL, NoSQL, Big Data
CI/CD, Agile methodologies

Compensation and Benefits

Base salary range starting at $115,000 per year, based on experience.
Annual cash bonus opportunity.
Health, Dental, and Vision benefits starting Day-One.
5% matching 401(k).
Additional benefits including, but not limited to, financial support, pet insurance, mental health resources, volunteer paid days off, employee stock program, foundation donation matching, and more.

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1mo ago

Systems Developer Lead

Pro Search, Inc. Portland, ME

Portland, ME

1mo ago Closed

$120k+/yr Full time Backend Developer Manager APIs

This position is no longer accepting applications (closed Sep 17, 2026).

Job Description

Pro Search, Inc. is hiring a Ruby on Rails-focused Systems Developer Lead to help build and run a secure, scalable healthcare claims data platform in Portland, Maine.

Responsibilities

Design, build, and maintain Ruby on Rails applications and API endpoints
Architect scalable backend services and database schemas within a Rails ecosystem
Write clean, efficient, and maintainable Ruby code with long-term sustainability
Optimize application performance and scalability across the stack
Balance hands-on Rails development with team leadership and project coordination
Support developers via code reviews, pair programming, and Rails best practices
Mentor and provide technical leadership for junior engineers
Evaluate and adopt modern tools and technologies in the Ruby/Rails ecosystem
Create clear, well-structured technical documentation
Maintain strict privacy, security, and compliance standards for sensitive healthcare data
Ensure healthcare data is securely accessed, processed, stored, and transmitted
Promptly report any suspected or actual security or privacy concerns
Adhere to all company policies and applicable regulatory requirements

Requirements

Bachelor’s degree or higher in computer science, engineering, mathematics, or a related field
Strong experience building applications with Ruby and Ruby on Rails
Experience developing RESTful APIs and full-stack web applications (Rails + JavaScript frameworks such as React preferred)
Hands-on experience designing and working with relational databases and complex data models
Familiarity with AWS and cloud-based infrastructure
Ability to communicate technical concepts clearly to technical and non-technical stakeholders
Strong organizational, communication, and time management skills
Comfort working in a collaborative, fast-paced environment with accountability for results

Technologies

Ruby
Ruby on Rails
API endpoints
RESTful APIs
JavaScript
React
Relational databases
AWS
Cloud-based infrastructure
Ruby/Rails ecosystem
Rails ecosystem

Benefits

Health insurance
Paid time off

Preferred Experience

Experience scaling and maintaining production Rails applications
Background in healthcare data, claims processing, or regulated data environments
Experience mentoring or leading developers
Curiosity, attention to detail, and passion for continuous learning

Role Details

Location: Portland, ME (hybrid)
Work location: Hybrid remote in Portland, ME 04122
Ability to commute: Portland, ME 04122 (Required)
Annual starting pay: USD 120,000 per year
Pay disclaimer: Salary range reflects minimum and maximum compensation; offers are typically made between the range minimum and midpoint. Actual compensation determined based on job-related skills, experience, and expertise evaluated during the interview process, and may vary based on location.
Minimum experience: 1 years

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1mo ago

Principal Data Engineer - CX Analytics

Unum Group Portland, ME

Portland, ME

1mo ago Closed

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

This position is no longer accepting applications (closed Sep 6, 2026).

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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1mo ago

Sr. Data Engineer - CX Analytics

Unum Group Portland, ME

Portland, ME

1mo ago Closed

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

This position is no longer accepting applications (closed Sep 6, 2026).

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

Machine Learning Engineer

Systems Developer Lead

Principal Data Engineer - CX Analytics

Sr. Data Engineer - CX Analytics

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