AI Data Engineer Jobs in Wisconsin
AI Data Engineer jobs in Wisconsin concentrate in healthcare analytics, financial services, manufacturing intelligence, and enterprise cloud infrastructure, with demand at every level from junior pipeline developers to senior architects. Milwaukee, Madison, and Green Bay lead hiring, anchored by employers like Fiserv, Epic Systems, and Northwestern Mutual, which maintain large technology divisions drawing consistent demand for ai data engineers. Pipeline automation, MLOps tooling, and cloud data platform expertise are the most sought-after specialties in Wisconsin listings right now. Scan the live roles below and apply to whichever ones fit.
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KI is seeking a Director of IT - AI, Data and Application Development to join our team in Green Bay, WI.
This is more than a technology leadership role. It's an opportunity to help define how AI, data, and digital capabilities shape the future of KI. As a key member of the IT leadership team, you'll lead our application development, data, analytics, and AI functions while partnering with leaders across the business to identify opportunities, solve complex challenges, and unlock value through technology. From establishing KI's AI strategy and governance framework to advancing modern data capabilities and application innovation, you'll play a central role in how KI works, grows, and competes in the years ahead.
Why This Role Matters
- Shape KI's AI Future - Build and lead KI's enterprise AI strategy, helping the organization transform emerging technologies into practical solutions that improve decision-making, increase productivity, and create lasting business value.
- Drive Enterprise-Wide Transformation - Partner with leaders across the organization to reimagine how work gets done, leveraging technology, automation, and innovation to solve complex business challenges and accelerate results.
- Turn Data into a Strategic Asset - Advance KI's data and analytics capabilities, creating the foundation for smarter decisions, deeper insights, and future AI-enabled growth.
- Define What's Next for Technology at KI - Establish the application, architecture, and technology strategies that will support scalability, innovation, and business success for years to come.
- Create Enterprise-Wide Impact - Influence key business priorities and technology investments while helping position KI to capitalize on new opportunities, emerging technologies, and evolving customer and market needs.
- Lead KI's application development, AI, data, analytics, and enterprise architecture functions.
- Develop and execute technology strategies and roadmaps aligned with business priorities.
- Establish and advance KI's AI vision, governance framework, and adoption strategy.
- Identify and prioritize opportunities to leverage AI, automation, and analytics across the organization.
- Build scalable data and reporting capabilities that improve business insights and decision-making.
- Guide software development teams in delivering high-quality, reliable technology solutions.
- Partner with business leaders to drive innovation, improve processes, and deliver business value.
- Develop talent, coach leaders, and foster a culture of accountability and continuous improvement.
- Manage priorities, budgets, resources, and key technology partnerships.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
- 10+ years of progressive IT leadership experience.
- Experience leading software development, data, analytics, or enterprise technology teams.
- Experience building technology roadmaps and aligning investments to business objectives.
- Knowledge of AI technologies, governance, and organizational adoption strategies.
- Strong leadership, communication, and relationship-building skills.
- Ability to translate business needs into practical and scalable technology solutions.
- Experience leading organizational change and technology transformation initiatives.
- Master's degree and relevant certifications are preferred.
At KI, you're more than an employee, you're an owner. As a 100% employee-owned company, every team member shares in our success and has the opportunity to influence the future of the business.
- Employee Stock Ownership Plan (ESOP)
- Competitive health, dental, and vision insurance
- 401(k) with company match
- Paid vacation, sick time, and holidays
- On-site fitness center and wellness resources
- On-site café
- Educational reimbursement
- Employee product discounts
- Comprehensive benefits package, including life insurance, disability coverage, and Employee Assistance Program (EAP)
Apply today and become part of an employee-owned organization where your leadership, vision, and innovation will help shape what's next.
KI is an Equal Opportunity Employer.
See All 7 AI Data Engineer Jobs in Wisconsin
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Find AI Data Engineer JobsAI Data Engineer Jobs by City in Wisconsin
Where Wisconsin roles are concentrated, by current openings.
AI Data Engineer Job Market in Wisconsin
A snapshot from current Wisconsin openings, updated as new roles post.
Who's Hiring


Top Industries Hiring
- Education
- Construction & Real Estate
What Wisconsin Employers Look For
The qualifications that appear most often in AI data engineer jobs across Wisconsin.
- Bachelor's or master's degree in computer science, data science, or a related engineering field
- Proficiency in Python or Scala for building and maintaining large-scale data pipelines
- Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
- Familiarity with ML frameworks like TensorFlow, PyTorch, or scikit-learn in production environments
- Experience designing and managing data warehouses or lakehouses using tools like Snowflake or Databricks
- Strong grasp of SQL and experience with orchestration tools such as Apache Airflow or dbt
AI Data Engineer Jobs in Wisconsin: Frequently Asked Questions
How do you become a ai data engineer in Wisconsin?
Most ai data engineers in Wisconsin enter the field with a bachelor's degree in computer science, data engineering, or a closely related discipline, though some employers also consider strong candidates with degrees in mathematics or statistics paired with a technical portfolio. Wisconsin does not require a state-issued license for this role. Employers in Milwaukee and Madison frequently value cloud certifications from AWS, Google, or Microsoft alongside demonstrated pipeline and MLOps project experience when evaluating candidates.
How much do AI data engineers make in Wisconsin?
AI data engineers in Wisconsin earn a median of about $106,680 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $76,300 for the lowest 10% to over $168,810 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai data engineers in Wisconsin?
Employers hiring ai data engineers in Wisconsin right now include Michels, KI, and TDS, based on current listings on Migrate Mate as of November 2026. Wisconsin's concentration of large financial technology firms, health informatics companies, and insurance and manufacturing corporations creates steady demand for ai data engineers across multiple industries rather than just one sector.
Which Wisconsin cities have the most ai data engineer jobs?
Madison, Milwaukee, and Neenah hold the most ai data engineer openings in Wisconsin. Milwaukee dominates because of its dense cluster of financial services and fintech employers including Fiserv and Northwestern Mutual, while Madison draws demand from Epic Systems and the University of Wisconsin health and research ecosystem, and smaller metro areas appear on the list because of regional insurance, manufacturing, or healthcare anchor employers headquartered there.
Are there remote ai data engineer jobs in Wisconsin?
Yes, and more than most fields. About 67% of ai data engineer openings tied to Wisconsin are remote or hybrid as of November 2026, reflecting how thoroughly this role operates on laptops and cloud platforms rather than physical infrastructure. The pipeline development, model monitoring, and data architecture portions of the role are the most consistently offered on a fully remote basis by Wisconsin employers.
How can I get hired as a ai data engineer in Wisconsin with little or no experience?
The most realistic entry path is building a demonstrable portfolio of data pipeline and ML workflow projects, then applying to associate data engineer or junior data analyst roles at Wisconsin employers. Epic Systems in Verona, Fiserv in Milwaukee, and large Wisconsin health systems like Advocate Aurora regularly hire new graduates into technical associate programs that rotate through data and engineering teams. Earning an entry-level cloud certification and contributing to open-source data tooling projects strengthens an application noticeably for candidates without professional experience.
Where can I find and apply to ai data engineer jobs in Wisconsin?
You can find and apply to ai data engineer jobs in Wisconsin on Migrate Mate, which lists current Wisconsin openings. Search the roles available, find the ones that match your background and preferences, and apply directly to the positions that fit.
See All 7 AI Data Engineer Jobs in Wisconsin
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