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Part Time Data Engineering Jobs in Wisconsin (NOW HIRING)

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 ...

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 ...

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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 September 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.

Optimization Engineering Specialist - Linear Filling (Part-Time)

Germantown, WI • On-site

Part-time

Re-posted 28 days ago


Job description

Description:

Position Overview

Gehl Food & Beverage is seeking a part-time Optimization Engineering Specialist to provide expert guidance on the performance, optimization, and reliability of JBT SF&DS Asep-tec Linear Fillers within our low-acid aseptic manufacturing operations. This role serves as a strategic advisor focused on identifying performance opportunities, directing improvement initiatives, and developing internal capabilities—without performing hands-on technical work.


What You'll Do

  • Assess linear filler performance and identify key constraints impacting OEE, throughput, quality, and reliability.
  • Develop and maintain optimization roadmaps, improvement plans, and prioritized action strategies.
  • Lead root cause analysis efforts through site teams and provide direction on performance improvement initiatives.
  • Advise engineering and capital project teams on technical scope, specifications, lifecycle planning, and reliability improvements.
  • Partner with Maintenance, Engineering, Operations, and OEM partners to align resources and improvement priorities.
  • Serve as the primary technical advisor to site leadership on filler performance strategy, risk mitigation, and improvement sequencing.
  • Coach and develop internal engineers and technicians through knowledge transfer, structured problem-solving, and best-practice guidance.
  • Monitor progress against improvement plans and provide recommendations to sustain long-term performance gains.
Requirements:

 What You'll Need

  • 10+ years of experience with JBT linear fillers or comparable aseptic filling systems.
  • Deep expertise across mechanical, electrical, and controls systems associated with JBT SF&DS Asep-tec Linear Fillers.
  • Proven success leading performance improvement initiatives that deliver measurable OEE improvements.
  • Strong analytical skills with the ability to interpret operational data and translate insights into actionable recommendations.
  • Experience working in a consulting, advisory, or leadership capacity where influence is achieved without direct authority.
  • Excellent communication and stakeholder management skills, with the ability to engage plant leadership, technical teams, and OEM partners.

Location: Germantown, WI (primarily on-site)

Travel: Limited travel to Lathrop, CA and Walterboro, SC as needed.