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Data Engineer Jobs in Maine (NOW HIRING)

Data Engineer

Mexico, ME · On-site

$119K - $143K/yr

Bachelor's degree in data engineering or at least 8+ years of comparable professional experience in a data engineering role. Master's degree preferred. * Prefer 5+ years' experience working as a data ...

Data Engineer

Freeport, ME · On-site

$118K - $142K/yr

Echo IT Solutions is a company seeking a Data Engineer to design and implement data ingestion and pipeline workflows. The role involves developing technical solutions, querying databases, and ...

Data Engineer

Westbrook, ME · On-site +1

$62/hr

Builds groundwork for data consumers (software or human) to easily retrieve needed data for evaluations and experiments. Builds operational data use cases such as moving large volumes of data across ...

Data Engineer

Westbrook, ME · On-site +1

$62/hr

Builds groundwork for data consumers (software or human) to easily retrieve needed data for evaluations and experiments. Builds operational data use cases such as moving large volumes of data across ...

QA Data Engineer

Freeport, ME · On-site

$118K - $142K/yr

Spark Tek Inc is seeking a QA Data Engineer for a 6 month contract opportunity. This role involves developing and implementing test strategies, ensuring data accuracy, application performance, and ...

$101K - $137K/yr

About the Role At NinjaOne, we're looking for a skilled Senior Data Engineer to join the Analytics Platform and Data Science team to help enable product analytics and data science across NinjaOne ...

$101K - $137K/yr

We hire the best data engineers, but experience in our stack can't hurt: our data platform is built on Kafka, Spark, Airflow, Iceberg, and Databricks; supporting large-scale distributed workloads ...

$101K - $137K/yr

We hire the best data engineers, but experience in our stack can't hurt: our data platform is built on Kafka, Spark, Airflow, Iceberg, and Databricks; supporting large-scale distributed workloads ...

The Manager, Data Engineering leads a team responsible for designing and delivering scalable data pipelines, warehouse solutions, and governed data assets that support Finance analytics, operational ...

The Manager, Data Engineering leads a team responsible for designing and delivering scalable data pipelines, warehouse solutions, and governed data assets that support Finance analytics, operational ...

Data Modeler

Freeport, ME · On-site

$56.75 - $73.50/hr

... engineers to translate models into efficient BigQuery implementations (partitioning, clustering, materialized views). • Define and maintain data definitions, relationships, and business rules for ...

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Data Engineer information

See Maine salary details

$43.1K

$125.6K

$171.9K

How much do data engineer jobs pay per year?

As of Sep 8, 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 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.

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.

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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. 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 or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 15% Part Time, and 4% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $125,591 per year, or $60.4 per hour.

Data Engineer

Mexico, ME • On-site

Young Presidents' Organization
51 - 200 employees

$119K - $143K/yr

Full-time

Posted 25 days ago


Key responsibilities

  • Design and build data services and pipelines to support various use-cases.

  • Support internal data products and services by analyzing and organizing raw data.

  • Collaborate with the data product owner on new product development.


Job description

PRIMARY RESPONSIBILITIES

  • Help determine the direction and implementation of YPO's internal data architecture and its usage throughout the organization and its member-facing services.
  • Collaborate with the data product owner on new product development.
  • Design and build data services and pipelines that can support a wide-variety of use-cases.
  • Support internal data products and services by analyzing and organizing raw data.
  • Evaluate business needs and objectives as they relate to data usage and development.
  • Analyze and interpret trends and patterns to help find new opportunities.
  • Help define data best practices and tool usage.
  • Explore ways to enhance data quality and reliability.
  • Identify opportunities for data acquisition.

SKILLS

  • Ability to work collaboratively in a multi-cultural organization with international members, helping them achieve excellence in voluntary roles for YPO initiatives.
  • Excellent interpersonal skills, adept at building meaningful relationships with all levels of associates, members and vendors. Adaptable, insightful, empathetic and reliable.
  • Able to maintain discretion and integrity of confidential information.
  • Resourceful and able to work independently with initiative and good judgement. Effective time management, organization and prioritization, managing multiple projects simultaneously.
  • Possesses a distinct global mindset, sensitive to local and international customs and protocols.
  • Able to identify problems, research alternatives, provide solutions and/or resolve issues in a timely manner. Anticipates member needs and delivers with clarity.
  • Analytical with ability to influence and guide appropriately and execute. Natural curiosity and desire to learn more; proficiency and interest in applying new technologies and tools.
  • Excellent verbal and written communication skills, including proof reading, with a meticulous attention to detail. Adjusts communication style appropriately to the audience.
  • Professional presence, appearance, and stature to interact easily with YPO members, C-level executives and high-profile corporate leaders.

EDUCATION / EXPERIENCE / BACKGROUND

  • Bachelor's degree in data engineering or at least 8+ years of comparable professional experience in a data engineering role. Master's degree preferred.
  • Prefer 5+ years' experience working as a data engineer for a consumer-facing organization with a large and varied customer/user-base.
  • Extensive hands-on experience with relational, noSQLgraph and GraphQL database design.
  • Technical expertise with data models, data mining, and segmentation techniques.
  • Knowledge of applicable programming languages (e.g. Java and Python) and experience working within a test-driven CI/CD development pipeline.
  • Great numerical and analytical skills.
  • Strong analytical skills with the ability to combine data from a variety of different sources, and to see how that data can be correlated to provide valuable business and end-user insights.
  • Experience working with a wide variety of data platforms like Snowflake and BigQuery with Looker and Tableau, and data services that include Salesforce and 3rd party API-based data.

PHYSICAL REQUIREMENTS

  • Ability to work flexible and/or extended hours as needed to accommodate members and team members in multiple time zones.
  • Willingness and ability to travel, domestically and internationally, without restrictions, approximately 20% per year.

EOE

YPO is an Equal Opportunity Employer. YPO takes pride in supporting a diverse workforce and demonstrates this through its policies and practices. YPO does not discriminate in recruiting, hiring, training, promotion, or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.