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Part Time Data Engineering Jobs in Maine (NOW HIRING)

Compass Group

CASHIER (PART TIME)

Saco, ME

$17.50/hr

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... We believe in nourishing the whole person, creating community through great food and programming ...

Compass Group

CASHIER (PART TIME)

Saco, ME

$17.50/hr

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... We believe in nourishing the whole person, creating community through great food and programming ...

Senior plc

Custodian - Part-Time

Lewiston, ME · On-site

$15.25 - $19.50/hr

Senior plc is an international, market-leading, engineering solutions provider with 30 operating ... data. To ensure there is no unexpected delay to your start date with our Company and due to the ...

Senior plc

Custodian - Part-Time

Lewiston, ME · On-site

$15 - $19/hr

Senior plc is an international, market-leading, engineering solutions provider with 30 operating ... data. To ensure there is no unexpected delay to your start date with our Company and due to the ...

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All JobsData Engineering JobsPart Time Data Engineering JobsPart Time Data Engineering Jobs in Maine

Part Time Data Engineering information

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

To thrive as a Part Time Data Engineer, you need proficiency in programming languages like Python or SQL, knowledge of database management, and a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, and platforms such as AWS, Google Cloud, or Apache Spark is typically required. Strong problem-solving abilities, attention to detail, and effective communication help individuals excel in this flexible role. These skills ensure accurate data pipelines, efficient data processing, and successful collaboration with cross-functional teams, even in a part-time capacity.

Are part time data engineers still in demand?

Part-time data engineers are still in demand as organizations seek flexible staffing for data pipeline development, maintenance, and analytics projects. Skills in SQL, Python, cloud platforms, and data tools remain valuable, and remote or flexible roles are increasingly available in the industry.

Can I work remotely as a part time data engineer?

Part time data engineering roles can often be performed remotely, especially when the work involves tasks like data pipeline development, database management, and cloud-based tools. Employers may require familiarity with tools such as SQL, Python, and cloud platforms, and remote work arrangements depend on the company's policies and project needs.

What is a part time data engineering job?

A part-time data engineering job involves working fewer hours than a full-time position, typically focusing on building and managing data pipelines, organizing data storage, and ensuring data quality for organizations. Part-time data engineers may work on specific projects or provide support to larger teams, often with flexible schedules. They use programming languages and tools like Python, SQL, and cloud platforms to move, transform, and optimize data. This role is ideal for those seeking work-life balance, students, or professionals looking to gain experience or supplement their income.

How does a part time data engineering role typically balance project responsibilities with limited working hours?

In a part-time data engineering position, tasks are often scoped to fit within your available hours, focusing on specific projects or maintenance work rather than broader, ongoing initiatives. You’ll likely collaborate closely with full-time engineers to ensure hand-offs are smooth and that you’re aligned on priorities. Clear communication and proactive time management are essential, as you may need to coordinate across teams or adjust your workload to meet deadlines. Many organizations also provide flexible scheduling and clear documentation practices to help part-time team members stay integrated and productive.

What is the difference between Part Time Data Engineering vs Part Time Data Analysis?

AspectPart Time Data EngineeringPart Time Data Analysis
Required CredentialsTypically requires knowledge of SQL, Python, ETL tools, and cloud platformsRequires skills in SQL, Excel, data visualization tools, and basic statistical knowledge
Work EnvironmentOften involves building data pipelines, managing databases, and working with data infrastructureFocuses on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in tech companies, finance, and e-commerce for data infrastructure rolesCommon in marketing, consulting, and business intelligence roles across industries

Part Time Data Engineering involves developing and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. In contrast, Part Time Data Analysis centers on interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but differ in technical complexity and focus.

What are the most commonly searched types of Data Engineering jobs in Maine? The most popular types of Data Engineering jobs in Maine are:
Part Time Data Engineering jobs near you
Infographic showing various Part Time Data Engineering job openings in Maine as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Part-Time Lecturer - Information Systems, MGEN/College of Engineering at the Roux Institute - Portla

Northeastern University

Portland, ME • On-site

$2.6K/wk

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago

Job description

About the Opportunity
About the Opportunity
The Multidisciplinary Graduate Engineering (MGEN) unit, within the College of Engineering, at the Roux Institute, invites applications for Part-Time Lecturers teaching selected graduate courses f or the multidisciplinary master's degree in Information Systems programs in Portland, Maine.
The MGEN unit seeks to produce more effective software engineers and information technology professionals who are substantially more than capable of addressing the ever-evolving needs of digital society in terms of time, cost, and quality. The unit will accomplish this by revolutionizing the way software is designed and evolved over time, based on the belief that software is a systems engineering challenge rather than a coding problem. See website for details of programs: http://www.coe.neu.edu/graduate-school/multidisciplinary
Responsibilities:
Teach selected graduate courses within the multidisciplinary master's degree programs. See website for details of programs: http://www.coe.neu.edu/graduate-school/multidisciplinary
Responsibilities include preparation of lectures, course materials, examinations, and evaluation of student performance in the course.
The multidisciplinary master's suite of degree programs at the Roux Institute include:
MS in Information Systems focuses on the intersection of cutting-edge technology and business complexity with an emphasis on the art and science of designing intricate software applications especially in the areas of healthcare, security and privacy, auditing and compliance, business improvement and intelligence, as well as financial accountability. Courses include application engineering and development, engineering big-data systems, and engineering secure software systems.
MS in Information Systems Bridge is focused for students with non-STEM, non-technical bachelor's degrees that are the knowledge link between business users and technologists by understanding the complexities of both. Students' undergraduate work in the humanities provides them with a unique perspective and approach in developing systems via a socio-technical lens. Students take courses specifically designed to bridge their current professional pursuits with the background and industry knowledge needed to advance in the IT sector. As industries launch into a digitized future, professionals with a clear understanding of how technology can be used to address large societal challenges are in demand.
Qualifications:
M.S. or Ph.D. in relevant engineering discipline is required; professional work in I.T. or related field and/or teaching experience is required. Must have strong, effective verbal skills to communicate well with students.
Position Type
Academic
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Pay Range:
The per credit rate is $2,625

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