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Part Time Data Engineering Jobs in Wisconsin (NOW HIRING)

Research Data Engineer

Madison, WI · On-site

$82K/yr

  • Retirement

  • PTO

... engineering within a research environment. This position will work with CHDR scientists and Data ... This position is full or part-time, 80%-100%. * This position may require some work to be performed ...

Test Engineering Intern

Mequon, WI

$15 - $19.25/hr

Work with engineers to gather meaningful test data * Record test procedures, results, photos, and ... Available part-time during the school year (10-20 hours/week) and full-time in the summer * Curious ...

Test Engineering Intern

Mequon, WI · On-site

$15 - $19.25/hr

Work with engineers to gather meaningful test data * Record test procedures, results, photos, and ... Available part-time during the school year (10-20 hours/week) and full-time in the summer * Curious ...

Mgr Engineering Systems

Wauwatosa, WI · On-site

  • Medical

  • Retirement

Harley-Davidson Motor Company Full or Part-Time: Full Time Shift: SHIFT1 At Harley-Davidson, we are ... Ability to lead engineering teams through issue resolution from data collection, data analysis ...

Harley-Davidson Motor Company Full or Part-Time: Full Time Shift: SHIFT1 At Harley-Davidson, we are ... Ability to lead engineering teams through issue resolution from data collection, data analysis ...

Mgr Engineering Systems

Wauwatosa, WI · On-site

  • Medical

  • Retirement

Harley-Davidson Motor Company Full or Part-Time: Full Time Shift: SHIFT1 At Harley-Davidson, we are ... Ability to lead engineering teams through issue resolution from data collection, data analysis ...

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Part Time Data Engineering information

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 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.

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.

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 are the most commonly searched types of Data Engineering jobs in Wisconsin?

The most popular types of Data Engineering jobs in Wisconsin are:

What are popular job titles related to Part Time Data Engineering jobs in Wisconsin?

For Part Time Data Engineering jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Part Time Data Engineering jobs in Wisconsin look for?

The top searched job categories for Part Time Data Engineering jobs in Wisconsin are:

What cities in Wisconsin are hiring for Part Time Data Engineering jobs?

Cities in Wisconsin with the most Part Time Data Engineering job openings:

Infographic showing various Part Time Data Engineering job openings in Wisconsin as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.

Research Data Engineer

Wisconsin

Madison, WI • On-site

$82K/yr

Full-time, Part-time

Retirement, PTO

Posted 15 days ago


Job description

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.Job Category:Academic StaffEmployment Type:RegularJob Profile:Data Engineer IJob Summary:

The Center for Health Disparities Research (CHDR), led by Director Dr. Amy Kind and Deputy Directors Drs. Nicole Rogus-Pulia and Andrea Gilmore-Bykovskyi, invites applications from highly motivated individuals to join our dynamic, growing, and multidisciplinary team. As a Research Data Engineer with CHDR, you will have the opportunity to contribute to research projects with far-reaching influence, including the largest study of its kind on social determinants of health in the context of Alzheimer's disease. Broadly, our work is focused on mechanisms of health disparities - the ways fundamental factors such as race, ethnicity, and identity interact with a complex array of geopolitical, socioeconomic, health care, cultural, social, psychological, physiological, genetic, and cellular factors to produce different population health outcomes.

We are seeking a highly motivated individual to join our team and provide expertise on data pipeline management and database engineering within a research environment. This position will work with CHDR scientists and Data Operations peers to optimize current processes related to a relational database used for scholarly research. The Research Data Engineer will join a dynamic team that works on multi-unit projects, both internal and external to UW-Madison. These projects range from the management of a robust relational database in an Azure cloud platform to produce datasets for distribution among a 24-site consortium, the creation of data visualizations for publications, and working with data analysts and IT professionals in moving forward research in health disparities.

Under the guidance of one of CHDR's Research Scientists, the successful Research Data Engineer will assist the CHDR scientific team to optimize processes within a large-scale relational database to prepare and analyze data using reproducible pipelines for research purposes. Processing would include data from multiple sources, including geographically-linked metrics of socioeconomic factors and measures of health outcomes, furthering research on and interventions in the social determinants of health.

  • This position is full or part-time, 80%-100%.

  • This position may require some work to be performed in-person, onsite, at a designated campus work location. Some work may be performed remotely, at an offsite, non-campus work location.

Knowledge, Skills, & Abilities:

  • Excellent organizational skills, strong attention to detail, and the flexibility to work both independently and collaboratively.

  • Excellent interpersonal skills related to communicating and documenting steps in the data processing pipeline.

Key Job Responsibilities:
  • Develops, constructs, tests, and maintains architectures for large-scale data management and analysis
  • Implements data analysis steps in collaboration with data scientists, statisticians, and/or other researchers and may use technologies that support data at scale
  • Organizes both data preparation and analysis steps into reproducible pipelines that can process similar data sets automatically
  • Selects appropriate technologies and optimizes pipelines for performance
  • Prepares data sets for current and future analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources and may use technologies that support data at scale
Department:

School of Medicine and Public Health, Center for Health Disparities Research, Data Analytics Core

The Center for Health Disparities Research (CHDR) is a dynamic multidisciplinary Center housed within the University of Wisconsin-Madison School of Medicine and Public Health (SMPH). Broadly, CHDR focuses on mechanisms of health disparities - with a particular focus on the social exposome and its relationship to health. CHDR is the home to the team that refined and curates the Area Deprivation Index and its data democratization portal, the Neighborhood Atlas. CHDR is also home to the Neighborhoods Study, an NIH funded national initiative to examine the adverse social exposome's impact on neuropathology and brain health biomarkers. CHDR investigators represent all areas of the translational research spectrum, from basic science to community participatory research. CHDR also has strong relationships with local, state and federal government, non-profit organizations, and industry entities.

Compensation:
  • The expected salary range for this position is $ 62,310 up to $82,000 for highly experienced candidates and actual pay within this range will depend on experience and qualifications.

  • Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. For more information, refer to the campus benefits webpage. SMPH Academic Staff Benefits Flyer

Required Qualifications:
  • Intermediate or advanced experience using R or Python to perform data processing/ETL tasks.

  • Comfortable working in a command line environment.

  • Demonstrated experience with large scale relational database management systems.

  • Demonstrated experience in a research setting.

Preferred Qualifications:

  • Intermediate or advanced experience using R or Python and/or SQL to perform data processing/ETL tasks.

  • Demonstrated experience with data pipelining, task automation, data structures and algorithms.

  • Experience developing, debugging, and testing data processing pipelines.

  • Familiarity with Git or other version control systems.

  • Familiarity with containerization and/or virtual environment management using Docker, conda, venv, etc.

  • Familiarity with REDCap.

  • Experience working with PHI and other sensitive data.

Education:

Bachelor's Degree Preferred

How to Apply:

To apply for this position, select either "I am a current employee" or "I am not a current employee" under Apply Now. You will then be prompted to upload your application materials.

Important: There is only one attachment field. All required documents must be combined into a single file and uploaded in that field.

Required documents:

  • Cover letter

  • Resume

Your cover letter should address how your training and experience align with the required and preferred qualifications listed above. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected.

University sponsorship is not available for this position, including transfers of sponsorship and TN visas.The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment.This position is an ongoing position that will require continuous work eligibility.If you are selected for this position you must provide proof of work authorization and eligibility to work.

Contact Information:

Kim McFarlane, kmmcfarlane@wisc.edu

Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.

Institutional Statement on Diversity:

Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.
The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.


The University of Wisconsin-Madison is an Equal OpportunityEmployer.

Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgroundsand encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.


To request a disability or pregnancy-related accommodationfor any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR)in the division you are applying to.Please make your request as soon as possible to help the university respond most effectively to you.


Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.
The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).
The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.