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Part Time Data Engineering Jobs in Wisconsin (NOW HIRING)

Hayes Performance Systems

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 ...

Hayes Performance Systems

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 ...

Harley-Davidson

Mgr Engineering Systems

Wauwatosa, WI

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 ...

New

Harley-Davidson

Sr Engineering Business Analyst

Wauwatosa, WI · On-site

$87K - $113K/yr

Harley-Davidson Motor Company Full or Part-Time: Full Time Shift: SHIFT1 At Harley-Davidson, we are ... Strong attention to detail and data accuracy * Ability to lead cross-functional teams without ...

Harley-Davidson

Test Engineer - NVH

Wauwatosa, WI

$74K - $112K/yr

Harley-Davidson Motor Company Full or Part-Time: Full Time Shift: SHIFT1 At Harley-Davidson, we are ... data that supports engineering decision‑making. Job Responsibilities * Executes NVH tests in ...

Harley-Davidson

Test Engineer - NVH

Wauwatosa, WI · On-site

$74K - $112K/yr

Harley-Davidson Motor Company Full or Part-Time: Full Time Shift: SHIFT1 At Harley-Davidson, we are ... data that supports engineering decision-making. Job Responsibilities * Executes NVH tests in ...

Harley-Davidson

Engineer Design

Wauwatosa, WI

$74K - $112K/yr

Harley-Davidson Motor Company Full or Part-Time: Full Time Shift: SHIFT1 At Harley-Davidson, we are ... data, and facilitating cross-functional support from the Engineering and Test organizations.

Harley-Davidson

Engineer Design

Wauwatosa, WI · On-site

$74K - $112K/yr

Harley-Davidson Motor Company Full or Part-Time: Full Time Shift: SHIFT1 At Harley-Davidson, we are ... data, and facilitating cross-functional support from the Engineering and Test organizations.

Stantec

Civil Engineer in Training

Mequon, WI · On-site

$55K - $63K/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 ...

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All JobsPart Time Data Engineering JobsPart Time Data Engineering Jobs in Wisconsin

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 Wisconsin? The most popular types of Data Engineering jobs in Wisconsin are:
Part Time Data Engineering jobs near you

Senior ML/GenAI Ops Engineer - Milwaukee, WI

Harley-Davidson

Milwaukee, WI • On-site

$103K - $141K/yr

Full-time, Part-time

Medical, Retirement

Posted 20 days ago

Job description

Auto req ID: 49054
Title: Senior ML/GenAI Ops Engineer - Milwaukee, WI
Job Function: Digital
Location: JUNEAU
Workplace Category:Onsite
Company: Harley-Davidson Motor Company
Full or Part-Time: Full Time
Shift: SHIFT1
At Harley-Davidson, we are building more than machines. It's our passion and commitment to continue the evolution of this storied brand, and heighten the desirability of the Harley-Davidson experience. To keep building our legend and leading our industry through innovation, evolution, and emotion we need the best and brightest talent. We stand for the timeless pursuit of adventure. Freedom for the soul. Are you ready to join us?
Harley-Davidson Motor Company, founded in a humble Milwaukee backyard shed in 1903, still calls the city home. Today, its Corporate Campus includes a 4.8-acre public park-a welcoming greenspace open to all. Join our team as a Sr Data Engineer.
Job Summary:
We are looking for a skilled Sr. Data Engineer - ML & AI Operations to join our growing team. In this role, you will be responsible for designing, developing, and deploying & operationalizing machine learning and generative AI (GenAI) platforms to deliver high-impact solutions to business challenges and optimize processes. This role focuses on the operationalization and automation of machine learning and AI solutions, ensuring they are seamlessly integrated into production environments with a high degree of scalability, reliability, and compliance with ethical guidelines.
The ideal candidate will bring strong technical expertise in data engineering, a deep understanding of ML and AI DevOps best practices, and a commitment to building robust, maintainable systems. You will lead the design, development, and scaling of data pipelines, ML infrastructure, and AI production systems that power models used across the business. If you are passionate about creating and operationalizing transformative ML and AI solutions, we'd love to hear from you!
Key Responsibilities:
Platform Design & Development:
  • Design, develop, and maintain scalable platforms for machine learning and GenAI, supporting end-to-end processes from data ingestion to model deployment and monitoring.
  • Lead end-to-end solution design for ML/AI data pipelines and model-serving platforms, ensuring architectures meet scalability, reliability, and regulatory requirements.
  • Partner closely with project and program managers to establish delivery timelines, resource plans, and milestone tracking for complex, multi-team data/ML efforts.
  • Champion best practices for reproducibility, automation, observability, and governance/COE in ML/AI operational pipelines and platforms.
  • Oversee compute governance, alert monitoring and model lifecycle.

Model Deployment & Automation:
  • Implement CI/CD pipelines for automated deployment of ML and AI models to production environments.
  • Work closely with data scientists to ensure model readiness and optimization, focusing on robust deployment and monitoring.
  • Develop and manage tools for continuous monitoring and performance management of models post-deployment to identify and resolve performance drift.

Collaboration and Business Alignment:
  • Partner with data scientists, software engineers, product owners, and stakeholders to align ML and AI solutions with business goals and performance metrics.
  • Facilitate seamless integration of ML/AI systems with business processes, ensuring data accessibility, quality, and real-time insights.

Operationalization & Maintenance:
  • Ensure systems are built for scalability, maintainability, and security, adhering to best practices in ML & AI DevOps.
  • Implement monitoring solutions to proactively address any issues in data, model performance, or infrastructure.
  • Drive architectural reviews, design decisions, and engineering standards that support long-term operational excellence for ML/AI workloads.
  • Serve as the primary technical escalation point for delivery risks and system performance issues, ensuring timely resolution and stakeholder alignment.

Ethics and Compliance:
  • Integrate AI ethics and compliance considerations into all ML/AI solutions, with a focus on data privacy, bias detection, and model transparency.
  • Implement processes to meet regulatory requirements and promote responsible AI use.

Education Requirements:
  • High School Diploma or Equivalent Required
  • Bachelor's or Master's degree in Computer Science, Data Engineering, Machine Learning, or a related field is preferred

Experience Requirements:
  • 7+ years of experience in data engineering or DevOps roles, with a focus on ML/AI platforms and infrastructure.
  • Proven experience in operationalizing and automating ML and GenAI solutions in production environments.
  • Strong experience with cloud platforms (AWS, Azure, GCP) and managing infrastructure for data and machine learning systems
  • Azure AZ-900 certification, with additional ML/LLM/RAG focused certifications preferred.

Technical Skills:
  • Proficiency in Azure Cloud Platform, specifically Azure ML Studio and Azure AI Foundry
  • Proficiency in Python, SQL, and ML/AI DevOps tools (e.g., MLflow, scikit learn, PyTorch, Kubeflow, TensorFlow Extended).
  • Experience with CI/CD tools (e.g., Jenkins, GitLab CI) and containerization/orchestration tools (Docker, Kubernetes).
  • Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and data pipeline tools (e.g., Apache Airflow, dbt).
  • Proficiency with vector databases, LLM workflows, or RAG pipelines.
  • Familiarity with cost management, autoscaling, and GPU governance in Azure ML.
  • Experience with data governance frameworks and security best practices.

Key Skills and Competencies
  • Technical Acumen: Strong knowledge of ML/AI lifecycle management, MLOps practices, and data pipeline optimization.
  • Collaboration & Communication: Excellent teamwork skills with an ability to work closely with cross-functional teams and communicate complex technical concepts effectively. Help influence alignment across teams.
  • Problem-Solving: Proactive approach & proven ability to identifying and solve issues in model performance, data quality, and infrastructure bottlenecks.
  • Ethics and Compliance: Deep understanding of responsible AI practices, including bias detection, explainability, and data privacy.
  • Governance & Data Integrity: Ability to enforce data privacy, lineage, and data quality controls across ML workflows, ensuring compliance with enterprise and regulatory requirements.

The pay range shown represents the national average pay range for this role. Your pay may be more or less than the stated range and is dependent on your geographic location and level of experience.
We offer an inclusive compensation package for all full-time salaried employees including, but not limited to, annual bonus programs, health insurance benefits, a 401k program, onsite fitness centers and employee stores, employee discounts on products and accessories, and more. Learn more about Harley-Davidson here.
Applicants must be currently authorized to work in the United States.
Direct Reports: No
Travel Required: 0 - 10%
Pay Range: 100,200 155,400
Visa Sponsorship: This position is not eligible for visa sponsorship or visa transfer
Relocation: This position is eligible for domestic relocation assistance (within posted country)

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