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Senior Data Analytics Engineer Jobs in Maine (NOW HIRING)

Northeastern University

Data Scientist

Portland, ME · On-site

The role focuses on supporting the development and delivery of AI and data science solutions, involving data analysis, feature engineering, model development, and collaboration with senior ...

Maine State Housing Authority

Data Analyst

Augusta, ME · Hybrid

$62K/yr

The Data Analyst role is responsible for data management and analysis for MaineHousing and its ... Preferred Demonstrated programming ability in SQL, R, or similar packages. Experience with GIS ...

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All JobsData Analytics Engineer JobsSenior Data Analytics Engineer JobsSenior Data Analytics Engineer Jobs in Maine

Senior Data Analytics Engineer information

See Maine salary details

$78.4K

$122.3K

$169.4K

How much do senior data analytics engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for senior data analytics engineer in Maine is $122,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,600.00 and $139,400.00 per year, depending on experience, location, and employer.

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

What are the key skills and qualifications needed to thrive as a senior data analytics engineer, and why are they important?

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.

What is the difference between Senior Data Analytics Engineer vs Data Scientist?

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

What are the most commonly searched types of Data Analytics Engineer jobs in Maine?

The most popular types of Data Analytics Engineer jobs in Maine are:

What are popular job titles related to Senior Data Analytics Engineer jobs in Maine?

For Senior Data Analytics Engineer jobs in Maine, the most frequently searched job titles are:

What job categories do people searching Senior Data Analytics Engineer jobs in Maine look for?

The top searched job categories for Senior Data Analytics Engineer jobs in Maine are:

Senior Data Analytics Engineer jobs near you
Infographic showing various Senior Data Analytics Engineer job openings in Maine as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 3% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,311 per year, or $58.8 per hour.

Senior AI Programmer Analyst

University of New England

Biddeford, ME • On-site

$46.50 - $63/hr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 18 days ago

University Of New England rating

6.2

Company rating: 6.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

546th of 618 rated colleges and universities

Job description

Position Details
Position Information
Position Type
Professional Staff
Faculty Track
Position Title
Senior AI Programmer Analyst
Employment Status
Full Time
Months
12
Campus
Portland, ME
Description
The Senior AI Programmer Analyst is an individual contributor responsible for the design, development, deployment, and ongoing optimization of artificial intelligence and machine learning solutions that advance the university's academic, administrative, and research missions. Reporting to the Director of Data, Intelligence, and Automation or designated ITS leadership, this role serves as a subject matter expert in applied AI and works in close collaboration with ITS teams, academic departments, and institutional stakeholders to deliver responsible, scalable, and impactful AI capabilities. The Senior AI Programmer Analyst applies deep technical expertise to solve complex problems, leads the development of AI standards and best practices, and ensures all solutions align with institutional policy, data governance requirements, and ethical AI principles
About the University of New EnglandUNE is Maine's largest private university, with two beautiful coastal campuses in Maine, a one-of-a-kind study-abroad campus in Tangier, Morocco, and an array of flexible online offerings. In an uncommonly welcoming and supportive community, we offer hands-on learning, empowering students to positively impact a world full of challenges. We are the state's top provider of health professionals and home to Maine's only medical and dental colleges, a variety of other interprofessionally aligned health care programs, and nationally recognized programs in the marine sciences, the natural and social sciences, business, the humanities, and the arts.
Benefits Overview
UNE offers a generous comprehensive benefits package to eligible employees. The package includes varied health and dental plans; a retirement plan that includes up to an 8% match; extensive paid leave including holidays, vacation, sick and personal time; and educational benefits. Please visit the Human Resources Benefits site (https://www.une.edu/hr/benefits) for additional information regarding UNE's fantastic benefits package.
Responsibilities
AI Development & Implementation
  • Design, build, test, and deploy AI/ML models, pipelines, and applications
  • Develop solutions using large language models (LLMs), generative AI, and retrieval-augmented generation (RAG)
  • Write clean, maintainable code (primarily in Python) following best practices
  • Evaluate and implement AI tools, frameworks, and platforms (e.g., Azure OpenAI, Hugging Face, LangChain)
  • Build and maintain data pipelines to support model training and deployment

Enterprise Integration & Collaboration
  • Integrate AI solutions with enterprise systems (ERP, SIS, CRM, LMS, etc.) using APIs and modern architectures
  • Collaborate with technical teams to ensure solutions are secure, scalable, and high-performing
  • Support data quality efforts and develop monitoring tools to track model performance

AI Governance & Responsible Use
  • Apply responsible AI principles, including fairness, transparency, and data privacy
  • Conduct model evaluations, bias assessments, and risk analyses
  • Ensure compliance with institutional policies and regulations (e.g., FERPA, HIPAA)
  • Contribute to AI governance frameworks and documentation

Technical Leadership & Engagement
  • Serve as a technical resource and mentor for AI-related work
  • Lead knowledge-sharing activities and promote AI literacy across the organization
  • Partner with stakeholders to define use cases and translate technical concepts into clear solutions
  • Participate in projects, working groups, and AI strategy initiatives
  • Other duties as assigned

Qualifications
Bachelor's degree in computer science, information systems, information technology, or a closely related field; or an equivalent combination of education and professional experience.
  • Minimum of three to five years of progressively responsible experience in enterprise systems administration, configuration, development, or support in a complex multi-system environment.
  • Demonstrated experience with at least one major enterprise student information and/or ERP platform (for example, Ellucian Banner, Oracle Student, Workday Student, or equivalent).
  • Experience developing and maintaining system integrations using APIs, ETL tools, middleware platforms, or file-based exchange methods.
  • Proficiency in one or more programming or scripting languages relevant to enterprise systems development (for example, SQL, PL/SQL, Python, Java, Groovy, or Apex).
  • Solid understanding of relational database concepts and the ability to write and optimize complex queries for reporting, integration, and troubleshooting purposes.
  • Knowledge of enterprise systems security administration, role-based access control, and data governance principles.
  • Strong analytical and problem-solving skills with the ability to translate functional requirements into effective technical solutions. Excellent written and verbal communication skills with the ability to explain technical concepts and system behavior to non-technical functional partners.
  • Ability to work effectively across organizational boundaries with diverse stakeholders including administrative offices, academic departments, and external vendors.
  • Commitment to data privacy, information security, and institutional policy compliance.

Preferred Qualifications
  • Experience with multiple enterprise platforms spanning student, ERP, SIS, HR, financial, and CRM functions in a higher education setting.
  • Hands-on experience with Salesforce or another enterprise CRM platform, including configuration, custom development, and integration.
  • Familiarity with higher education-specific data standards and reporting requirements (for example, IPEDS, NSC, Common App, state reporting).
  • Experience with identity management and single sign-on integration (for example, LDAP, SAML, Shibboleth, Microsoft Entra ID) as it relates to enterprise system access.
  • Knowledge of cloud-hosted enterprise platform models (SaaS) and experience managing vendor-hosted system environments.
  • Experience supporting or participating in major enterprise system implementations or upgrades.
  • Relevant vendor or platform certifications (for example, Salesforce Administrator, Workday Pro, Ellucian certifications).
  • Experience with agile or iterative delivery methods in an enterprise systems context.

EEO Statement Summary
Consistent with federal and state law and University policy, the University of New England is committed to the fundamental concept of equal opportunity for all of the members of the University community. The University prohibits, and will not tolerate, discrimination in employment, the provision of academic services or in any other area of University life based on race, color, sex, physical or mental disability, religion, age, ancestry, national origin, sexual orientation, gender identity and/or expression, ethnicity, genetic information, HIV status, or status as a veteran. Prohibited bias factors should not motivate decisions regarding students, employees, applicants for admission, applicants for employment, contractors, volunteers or participants in and/or users of institutional programs, services, and activities.
Vaccination Statement (PLEASE NOTE)
Employees in clinical settings must meet the State of Maine's immunization requirements for clinical activity.
Additional Note
This position is not eligible for H-1B visa sponsorship.
Anticipated Pay Range
$95,000 - $102,000
Posting Detail Information
Posting Number
2022PS0908P
Open Date
06/02/2026
Close Date
Open Until Filled
Yes

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