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Senior Data Engineer Jobs in Portland, ME (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 ...

Haley & Aldrich

Senior Civil Engineer 3

Portland, ME · On-site

Provide senior-level technical review of data collection, synthesis, and analysis using approved ... Master's degree in engineering or engineering management preferred. * Minimum 10 years of ...

Haley & Aldrich

Senior Civil Engineer 3

Portland, ME · On-site

Provide senior-level technical review of data collection, synthesis, and analysis using approved ... Master's degree in engineering or engineering management preferred. * Minimum 10 years of ...

FHR

M-78-Data Architect 144227.

Portland, ME · On-site

$65.25 - $84/hr

Mentor junior developers, providing technical guidance and expertise. Required Skills & Experience ... Senior-level DBA experience with Oracle databases (on-premises and cloud). * Strong proficiency in ...

Salas O'Brien, Inc.

Senior Electrical Engineer

Portland, ME · On-site

$120K - $150K/yr

Senior Electrical Engineer - Located in Portland, ME Job Summary: These offices focus primarily on ... Our specialized experience includes design for data centers, healthcare, science and technology ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Portland, ME

Senior Data Engineer information

See Portland, ME salary details

$82.9K

$129.2K

$179K

How much do senior data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for senior data engineer in Portland, ME is $129,249.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,400.00 and $147,300.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

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

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

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 Senior Data Engineer jobs in Portland, ME?

For Senior Data Engineer jobs in Portland, ME, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineer jobs in Portland, ME look for?

The top searched job categories for Senior Data Engineer jobs in Portland, ME are:

What cities near Portland, ME are hiring for Senior Data Engineer jobs?

Cities near Portland, ME with the most Senior Data Engineer job openings:

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Portland, ME as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $129,249 per year, or $62.1 per hour.

Data Scientist

Northeastern University

Portland, ME • On-site

Full-time

Re-posted 29 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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