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Data Engineer Manager Jobs in Portland, ME (NOW HIRING)

Northeastern University

Data Scientist

Portland, ME · On-site

... engineers, project managers, and faculty experts. • Willingness to participate in client meetings in a supporting role. Qualifications : Required : • Master's degree (required) or Ph.D. (optional ...

NorthEastern

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

Collaborate effectively with cross-functional teams including data scientists, engineers, project managers, and faculty experts. * Willingness to participate in client meetings in a supporting role.

Northeastern University

Data Scientist

Portland, ME · On-site

This role is designed for early-career data scientists to contribute to the development and ... scientists, engineers, project managers, and faculty experts. • Willingness to participate in ...

Northeastern University

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

Collaborate effectively with cross-functional teams including data scientists, engineers, project managers, and faculty experts. * Willingness to participate in client meetings in a supporting role.

Unum UK

Data Scientist II - CX Analytics

Portland, ME · On-site +1

Programming & Process automation: Experience with file I/O, database integrations, and APIs to ... Viewed as a promoter of change management and leads proof of concept work and prototyping when ...

Element Materials Technology

Data Processor

Auburn, ME · On-site

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis ...

Element Materials Technology

Data Processor

Portland, ME · On-site

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis ...

Fiber Materials

Quality Engineer

Biddeford, ME

$75K - $97K/yr

The individual will work closely with production and engineering management to develop, maintain ... for distribution of data & information as required * Coordinate FMI and supplier quality ...

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All JobsData Engineer JobsData Engineer Manager JobsData Engineer Manager Jobs in Portland, ME

Data Engineer Manager information

See Portland, ME salary details

$45.5K

$132.7K

$181.6K

How much do data engineer manager jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data engineer manager in Portland, ME is $132,715.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,100.00 and $140,700.00 per year, depending on experience, location, and employer.

What are some typical challenges a data engineer manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

What are the key skills and qualifications needed to thrive as a data engineer manager?

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What does a data engineer manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

What are the most commonly searched types of Data Engineer jobs in Portland, ME? The most popular types of Data Engineer jobs in Portland, ME are:
What are popular job titles related to Data Engineer Manager jobs in Portland, ME? For Data Engineer Manager jobs in Portland, ME, the most frequently searched job titles are:
What job categories do people searching Data Engineer Manager jobs in Portland, ME look for? The top searched job categories for Data Engineer Manager jobs in Portland, ME are:
What cities near Portland, ME are hiring for Data Engineer Manager jobs? Cities near Portland, ME with the most Data Engineer Manager job openings:
Data Engineer Manager jobs near you
Infographic showing various Data Engineer Manager job openings in Portland, ME as of August 2026, with employment types broken down into 100% Full Time. Highlights an 76% In-person, 6% Hybrid, and 18% Remote job distribution, with an average salary of $132,715 per year, or $63.8 per hour.

Data Scientist

Northeastern University

Portland, ME • On-site

Full-time

Re-posted 13 days ago

Job description

Job Summary:
Northeastern University is seeking a Data Scientist for a full-time, one-year term appointment at their Roux Institute in Portland, Maine. 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 professionals in the field.
Responsibilities:
• Perform data cleaning, exploratory data analysis (EDA), and feature engineering.
• Train, evaluate, and compare machine learning models under supervision.
• Assist with model validation, performance monitoring, and documentation.
• Contribute to ML pipelines and collaborate with ML engineers on deployment-related tasks.
• Ability to clearly communicate analytical findings to technical and non-technical audiences with guidance.
• Collaborate effectively with cross-functional teams including data scientists, engineers, project managers, and faculty experts.
• Willingness to participate in client meetings in a supporting role.
Qualifications:
Required:
• Master’s degree (required) or Ph.D. (optional) in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely related field.
• 0–2 years of industry, research, or applied project experience in data science or machine learning.
• Experience gained through internships, co-ops, academic research, or applied capstone projects is acceptable.
• Solid understanding of statistical methods, regression, hypothesis testing, and basic experimental design.
• Hands-on experience with classical machine learning methods such as linear/logistic regression, decision trees, and gradient boosting.
• Familiarity with deep learning concepts and modern architectures (e.g., convolutional neural networks or transformers); deep specialization is not required.
• Proficiency in Python for data analysis and model development (NumPy, pandas, scikit-learn).
• Working knowledge of SQL and relational databases.
• Familiarity with at least one ML or deep learning framework (e.g., PyTorch, TensorFlow, HuggingFace).
• Ability to clearly communicate analytical findings to technical and non-technical audiences with guidance.
• Collaborate effectively with cross-functional teams including data scientists, engineers, project managers, and faculty experts.
• Willingness to participate in client meetings in a supporting role.
• Awareness of ethical AI principles including fairness, transparency, and responsible model use.
• Willingness to follow established governance, documentation, and review practices.
• Strong curiosity and motivation to learn new tools, techniques, and AI methods.
• Openness to feedback and mentorship.
• Ability to manage assigned tasks, meet deadlines, and maintain high-quality work.
• Proactive attitude and willingness to take increasing responsibility over time.
Preferred:
• Industry experience is preferred.
• Exposure to NLP, computer vision, or speech processing through coursework or academic/industry projects.
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Understanding of software development best practices such as version control (Git) and Agile workflows.
Company:
Founded in 1898, Northeastern is a global research university with a distinctive, experience-driven approach to education and discovery. Founded in 1898, the company is headquartered in Boston, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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