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Data Engineer Jobs in Maine (NOW HIRING)

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

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 ...

Responsibilities : • Perform data cleaning, exploratory data analysis (EDA), and feature engineering. • Train, evaluate, and compare machine learning models under supervision. • Assist with ...

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of ... Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ...

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of ... Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ...

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of ... Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ...

M-78-Data Architect 144227.

Portland, ME · On-site

$65.25 - $84/hr

Data Architect (Job ID: 144227) Location: Hybrid - Augusta, ME (Onsite once per month; candidates ... Mentor junior developers, providing technical guidance and expertise. Required Skills & Experience:

M-78-Data Architect 144227.

Bangor, ME · On-site

$64.75 - $83.50/hr

Data Architect (Job ID: 144227) Location: Hybrid - Augusta, ME (Onsite once per month; candidates ... Mentor junior developers, providing technical guidance and expertise. Required Skills & Experience:

M-78-Data Architect 144227.

Augusta, ME · On-site

$63 - $81.25/hr

Data Architect (Job ID: 144227) Location: Hybrid - Augusta, ME (Onsite once per month; candidates ... Mentor junior developers, providing technical guidance and expertise. Required Skills & Experience:

Showing results 41-60

Data Engineer information

See Maine salary details

$43.1K

$125.6K

$171.9K

How much do data engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data engineer in Maine is $125,591.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,900.00 and $133,100.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
What are the most commonly searched types of Data Engineer jobs in Maine? The most popular types of Data Engineer jobs in Maine are:
What are popular job titles related to Data Engineer jobs in Maine? For Data Engineer jobs in Maine, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Maine look for? The top searched job categories for Data Engineer jobs in Maine are:
What cities in Maine are hiring for Data Engineer jobs? Cities in Maine with the most Data Engineer job openings:
What are popular job titles related to Data Engineer jobs in ME? For Data Engineer jobs in ME, the most frequently searched job titles are:
Infographic showing various Data Engineer job openings in Maine as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $125,591 per year, or $60.4 per hour.

Supply Chain Data Process Engineer

General Dynamics - Bath Iron Works

Bath, ME • On-site

$79K - $100K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 5 days ago


General Dynamics Bath Iron Works rating

8.5

Company rating: 8.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz


Job description

We offer a competitive salary for this role, with an expected range of $79,500 – $100,700/yr. The final offer will depend on your experience, skills, and overall qualifications. General Dynamics – Bath Iron Works also provides a variety of benefits including medical & dental insurance coverage, 401(k) retirement savings plan, flexible spending accounts/HSAs, life and disability insurance, company paid holidays, paid time off (PTO), health coaching, athletic trainers, employee assistance programs and onsite health services.

Bath Iron Works (BIW), a General Dynamics company, is seeking a highly driven, inquisitive, and technically skilled individual to join our supply chain team as a Data Process Engineer. This role is ideal for someone who is naturally curious, persistent in problem solving, and motivated to follow complex data issues through to full resolution.  The Data Process Engineer will work closely with the Supply Chain organization, embedding within their daily operations to understand processes, identify data sources, and design desktop-level applications, tools, and analytics that streamline workload and enhance decision-making.

 

Key Responsibilities:

Data Analysis & Application Development:

  • Analyze supply chain processes to identify pain points, inefficiencies, and automation opportunities.
  • Develop desktop tools, dashboards, and applications using MS Access, Excel, Power BI, and/or Tableau to support Supply Chain Specialists in daily tasks.
  • Investigate data issues thoroughly and persistently until root causes are identified and resolved.
  • Build repeatable, reliable data flows that provide users with accurate, timely information.

Collaboration & Process Learning:

  • Embed within Supply Chain teams to deeply understand workflows, constraints, and dependencies.
  • Learn and document data sources, data structures, and system interactions relevant to operational processes.
  • Partner with stakeholders to translate business needs into sustainable technical solutions.
  • Communicate findings, tool functionality, and recommendations in clear, accessible terms.

Continuous Improvement:

  • Continuously evaluate data processes for improvement opportunities around accuracy, speed, or usability.
  • Proactively propose and implement enhancements that improve data integrity and reduce manual workload.
  • Seek innovative solutions to support Supply Chain performance in Safety, Quality, Schedule, Cost, and People.

  • Bachelor’s degree in Engineering, Data Analytics, Computer Science, or other relevant technical field required.

Required:

  • Strong curiosity and a natural drive to resolve problems thoroughly and accurately.
  • Technical proficiency with MS Access, MS Excel, Power BI, and Tableau.
  • Strong analytical and problemsolving skills, including the ability to work with complex or incomplete datasets.
  • Ability to learn new processes, systems, and data environments quickly and independently.
  • Excellent communication and interpersonal skills to work effectively with Supply Chain partners and other stakeholders including engineering, design, and planning.
  • Strong organizational and timemanagement skills, with the ability to prioritize multiple efforts simultaneously.
  • High attention to detail and a commitment to data accuracy and solution reliability.

Preferred:

  • 2 years of experience supporting supply chain, operations, planning, or related functions.
  • 2 years of experience developing small-scale applications, dashboards, macros, or automated processes.

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