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Part Time Data Engineering Jobs in Minnesota (NOW HIRING)

Remmele

Engineering Manager

Big Lake, MN · On-site

$120K - $160K/yr

Drive digital transformation by utilizing automation, data analytics, and observational tools ... Full-time and Part-time employees receive Paid Time Off (PTO) based on years of service, as well as ...

Thern

Industrial Engineering Intern

Winona, MN

$16.25 - $21/hr

Operations Excellence Manager Employment Type: Part-Time Internship FLSA Status: Non-Exempt Launch ... Ability to analyze processes and interpret data accurately * Interest in manufacturing, operations ...

Loll Designs

Lifecycle Engineering Intern

Duluth, MN · On-site

$18/hr

Once the academic year begins, the schedule will transition to a flexible part-time arrangement ... Participate in product testing, data collection, and analysis activities * Help evaluate product ...

Loll Designs

Lifecycle Engineering Intern

Duluth, MN

$18/hr

Once the academic year begins, the schedule will transition to a flexible part-time arrangement ... Participate in product testing, data collection, and analysis activities * Help evaluate product ...

Stantec

Civil Engineer in Training

Minneapolis, MN · On-site

$67K - $94K/yr

... engineering disciplines and professionals in the coordination of the project. * Perform data ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Stantec

Civil Engineer

Minneapolis, MN · On-site

Minimum Bachelor's degree in Engineering with an emphasis in Civil Engineering. * Minimum of six ... Actual compensation for part-time roles will be pro-rated based on the agreed number of working ...

Children's Minnesota

This role drives the delivery of data solutions using Epic's Cogito suite of tools (including ... Annual salaries for part-time positions will be prorated based on the employee's scheduled weekly ...

Allete

Engineer (II to Senior level)

Duluth, MN · On-site

$106K - $133K/yr

Exempt Engineering Candidate Pool - Minnesota Power This posting is not for one specific opening We ... Analyzing operational data and system events to maintain reliability and recommend equipment ...

City of Hialeah, FL

Cashier (P/T)

Dent, MN · On-site

$14 - $50/hr

... programming services or other City policies and procedures. ESSENTIAL EXAMPLES OF DUTIES The ... data entry. • Ability to use computers for word processing and/or accounting purposes. • ...

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All JobsPart Time Data Engineering JobsPart Time Data Engineering Jobs in Minnesota

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.

Is it possible to work part-time as a data scientist?

Yes, data scientists can work part-time, especially in freelance or consulting roles, or within organizations that offer flexible schedules. However, many data science positions are full-time due to the complexity of projects and the need for continuous collaboration and skill development.

Is it possible to work part-time as an engineer?

Part-time data engineering roles are available, often requiring skills in SQL, Python, and cloud platforms. These positions typically involve flexible schedules and may require prior experience or certifications, depending on the employer's 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.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, programming languages like Python and SQL, and familiarity with tools such as Hadoop and Spark enhance job prospects in this field.

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 engineers make $500,000?

Senior data engineers, software engineers, and machine learning engineers with extensive experience, specialized skills, and working in high-paying industries or companies can earn $500,000 or more annually. Achieving this level often requires advanced technical expertise, certifications, and sometimes leadership roles or stock options.
What are the most commonly searched types of Data Engineering jobs in Minnesota? The most popular types of Data Engineering jobs in Minnesota are:
Part Time Data Engineering jobs near you
Infographic showing various Part Time Data Engineering job openings in Minnesota as of June 2026, with employment types broken down into 54% Full Time, 45% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Engineering Manager

Remmele

Big Lake, MN • On-site

$120K - $160K/yr

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

Position Summary: This position is responsible for providing engineering leadership to the Big Lake business division, overseeing the management of all employees in the department. Will serve as a critical technical leader and change agent that is responsible directly for the engineering team while championing a culture of continuous improvement. This dual impact role balances daily engineering project execution, personnel management, and system architecture with the strategic deployment of operational excellence processes. The engineering manager will oversee manufacturing engineering, automation team, tool room, and lead the Operational excellence for Big Lake. Provide technical leadership to achieve the business division's goals and objectives. Driving cost reduction and continuous improvement initiatives, monitoring and confirming organizational adherence to policies, procedures, regulations and standard work and managing the department budget.
Key Responsibilities:
  1. Provide engineering leadership to the business division, including developing and implementing new engineering methodologies and processes for improved performance, quality and/or cost reduction. Work closely with other departments to ensure proper implementation of these initiatives.
  2. Implement & grow Operational excellence through all levels
  3. Design and govern standard work, visual KPI's tracking framework
  4. Directly supervise staff and oversee the management of key employees in the Engineering Department by participating in and overseeing the hiring, work planning and direction, training and performance management processes.
  5. Lead cross functional kaizen events, value stream mapping, and root-cause analysis
  6. Develop foundational practices to support business growth and drive out costs through continuous improvement initiatives.
  7. Drive digital transformation by utilizing automation, data analytics, and observational tools
  8. Lead technical discussions with quality and operations driving knowledge throughout the business.
  9. Represent our business in customer-facing interactions such as DFM or technology advancements.
  10. Partner with NPI engineering team to utilize SME in assisting NPI programs.
  11. Develop automation strategies to help drive operational efficiencies and repeatability.
  12. Support business expansion through capital expenditure (equipment) and space management.
  13. Assist with developing and managing the Engineering Department budget for the business division.
  14. Monitor and confirm organizational adherence to policies, procedures, regulations and standard work.
  15. Other duties as assigned.

Required Qualifications:
  • Bachelor degree in Manufacturing Engineering or related engineering field (experience in lieu of a degree will be considered)
  • Minimum five years' relevant, progressive experience including mentoring other Engineering staff and participating in customer interactions and decision making.
  • Broad knowledge base of medical device machining processes, applications and technologies.
  • Strong business knowledge. Experience leading significant business change and LEAN initiatives.
  • Demonstrated effective leadership skills, including the interpersonal and communication skills necessary to lead people and get results through others.
  • Proficient PC skills in a Windows environment.
  • Basic understanding of CAD/CAM systems utilizing solid modeling.
  • Experience working within an ISO environment.

Preferred Qualifications:
  • Experience in a precision machine shop environment.
  • LEAN / Six Sigma training and demonstrated application.
  • MBA

Quantitative Data:
  • Directly supervise staff.
  • 10-15 employees in the department.
  • Manage department budget

Compensation and Benefits Overview
Starting Pay Range for this position is $120,000-$160,000 annually. This position is eligible to participate in the company's bonus program.
Minimum pay rates offered will comply with applicable county or city regulations if they exceed the listed range. Actual pay rates are determined based on various factors, including but not limited to, local labor market conditions, years of relevant experience, education, professional certifications, foreign language proficiency, and other job-specific qualifications.
Employees and their families are eligible to participate in a comprehensive benefits package, including company-sponsored medical, dental, vision, flexible spending accounts (FSA), health savings accounts (HSA), voluntary benefits, supplemental life/AD&D insurance, and the company's 401(k) plan. Additional benefits include access to an employee assistance program (EAP) for employees and household members, long-term disability coverage, and short-term disability for full-time employees.
Full-time and Part-time employees receive Paid Time Off (PTO) based on years of service, as well as paid holidays, personal holidays and MN Safe and Sick Time.

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