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Part Time Data Engineering Jobs in Minnesota (NOW HIRING)

North Memorial Health

IT Programmer Analyst

Minneapolis, MN · On-site +1

$35.75 - $46.50/hr

Most part-time and all full-time positions are eligible for benefits. * Health & Welfare Benefit ... data integration components. This includes partnering with third party vendor resources to support ...

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All JobsData Engineering 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.

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 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 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.

Principal CFD Engineer - Hydrodynamic Systems

Verterra Energy

New Brighton, MN • On-site

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Job description

What We Do at Verterra Energy
At Verterra Energy, we're on a mission to harness the power in the world's rivers, canals and oceans. To accomplish this, we are commercializing our first device called VOLTURNUS, a pioneering water-power technology that deploys in harmony with the current to capture baseline, zero emission electricity.
Backed by top-tier investors and a multi-year government contract, we are growing our founding team to help achieve key milestones. Partners and collaborators include: NIRON, DoD, DoE, University of Minnesota, WEG Group, Beckhoff, Pacific Northwest National Laboratory and the US Army Corp of Engineers.
Recent press releases can be found on our website:
https://www.verterraenergy.com/news
Role Overview
You will lead computational fluid dynamics modeling efforts for Verterra's turbine systems and related platforms.
You will define modeling strategy, boundary conditions, mesh approach, turbulence models, and validation methods. You will work directly with mechanical and test engineers to ensure CFD results inform blade geometry, structural loads, fatigue expectations, and overall system efficiency.
We are open to full-time, part-time, or 1099 arrangements for the right subject matter expert.
Core Responsibilities
Hydrodynamic Modeling
  • Develop and execute 3D CFD models of rotating turbine systems in open-water environments
  • Model turbulent, unsteady, and cyclic flow conditions
  • Support blade and housing geometry optimization
  • Evaluate flow separation, wake behavior, cavitation risk, and efficiency tradeoffs

Modeling Strategy & Validation
  • Define appropriate turbulence models and simulation fidelity
  • Develop mesh strategies for rotating machinery and complex geometries
  • Establish convergence and validation criteria
  • Correlate CFD outputs with experimental data from flume and field testing
  • Identify when simulation assumptions break down

Load & System Integration
  • Extract pressure and force distributions for structural loading analysis
  • Support fatigue and cyclic loading estimation
  • Work cross-functionally with structural and mechanical engineers
  • Translate fluid results into manufacturable design recommendations

Environmental & Operational Conditions
  • Model debris interaction scenarios and flow disturbance cases
  • Evaluate performance in variable flow velocities
  • Understand long-term exposure considerations in real water systems

Documentation & Decision Support
  • Present results in clear, engineering-driven formats
  • Identify design tradeoffs and uncertainty bands
  • Support design reviews with defensible analysis
  • Document modeling assumptions and limitations

Minimum Qualifications
  • 8+ years of professional CFD experience (12+ for Principal level)
  • Demonstrated experience modeling external fluid flow systems
  • Experience with rotating machinery or turbine systems
  • Deep understanding of turbulence modeling and numerical stability
  • Experience correlating CFD results to physical testing
  • Ability to independently define modeling strategy

Preferred Qualifications
  • Marine, riverine, or open-water flow modeling experience
  • Experience with cavitation prediction
  • Experience modeling debris interaction or multiphase flow
  • Experience supporting hardware programs from early prototype through validation
  • Experience working in small, engineering-driven teams

What Success Looks Like
  • CFD informs geometry decisions early and reduces physical iteration cycles
  • Simulation results correlate closely with flume or field testing
  • Load predictions meaningfully support structural design
  • Design decisions are made based on physics, not aesthetics
  • Modeling assumptions are documented and defensible

Benefits
  • Medical, dental, and vision coverage
  • Company-paid life, disability, and basic protection
  • 401(k) with employer match
  • Unlimited paid time off + 2 weeks sick and safe leave
  • 7 company-paid holidays: New Year's Day (January 1), Memorial Day, Fourth of July, Labor Day, Thanksgiving Day, the Friday after Thanksgiving, and Christmas Day
  • Stocked kitchen

Equal opportunity
Verterra Energy does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

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