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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DATA & AI ANALYST
LOCATION: Remote (WI or MN based candidates preferred)
REPORTS TO: Quality Systems Manager
DEPARTMENT: Quality
TRAVEL REQUIREMENT: 5-15%
JOB PURPOSE SUMMARY:
Good Culture is on a mission to zero defects — and we need a curious, data-driven thinker to help get us there. As our Quality Data & AI Analyst, you'll sit at the intersection of food safety, analytics, and artificial intelligence, turning raw production data into insights that protect our brand and make every cup of cottage cheese better than the last.
You'll work closely with our co-manufacturing partners, Operations, Product Development, and FSQA Leadership — serving as the analytical engine behind our Quality Systems Pillar. If you love digging into data, experimenting with AI tools, and solving real-world problems in a fast-moving, purpose-driven company, this role was built for you.
ESSENTIAL JOB RESPONSIBILITIES:
- Bridge quality and data: translate quality insights into a continuous, data-driven improvement process that the whole team can act on.
- Analyze defect trends using tools like AI, machine learning, and statistical modeling to catch issues early and strengthen our processes.
- Monitor production data to ensure compliance with critical factors, specifications, and regulatory standards.
- Own recurring reporting for leadership, operations, procurement, finance, and executive review.
- Be the connective tissue for FSQA meetings — setting agendas, communicating progress, and keeping stakeholders aligned.
- Track supplier performance and help build and maintain our supplier scorecard.
- Support audits and quality documentation management.
- Contribute to the development and implementation of food safety and quality programs.
- Develop deep expertise in cottage cheese production and quality so you can anticipate problems before they happen.
- Help protect and grow one of the most unique brands in food — because Good Makes Good.
- Have fun and make a difference.
JOB QUALIFICATIONS:
- B.S. in Food Science, Biology, Chemistry, Computer Science, Business, Statistics, or a related field.
- Sharp critical thinking skills — you can validate information, spot bad data, and apply sound judgment when working with AI-generated outputs.
- Strong verbal and written communication skills; comfortable presenting to leadership and building relationships with co-manufacturing partners.
- Ability to work independently and know when to loop others in.
- Proficiency in Excel, Word, and PowerPoint.
- Great attitude, desire to build something great, and love of cottage cheese.
Preferred:
- 0–2 years of experience in tech services, food safety, or quality assurance.
- Experience with Python, LLMs, command-line tools, or APIs.
- Familiarity with AI workflows — Projects, Artifacts, agentic tools, and prompt engineering.
- Food industry or co-manufacturing experience.
- Certifications such as HACCP, PCQI, or SQF Practitioner.
- Statistical knowledge and experience applying it to process improvement
ABOUT GOOD CULTURE:
We believe that if you eat good things, and surround yourself with good, you’ll feel good. Simple as that. That’s why we decided to create a food company that offers real organic ingredients from trusted sources, promotes good health and tastes great. Our mission is to reinvent the food system, from the (actual) ground up. We are a cultured dairy company that currently makes pasture-raised cottage cheese, rich probiotic sour cream, cream cheese and probiotic milk. We’re looking for some cultured healers!
Good Culture is an equal opportunity employer. At Good Culture we also believe a great culture fosters and values a diverse, equitable, and inclusive workforce. We seek individuals of all backgrounds and experiences to apply for this position. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Good Culture is committed to creating an inclusive environment for all employees.
See All 7 AI Data Engineer Jobs in Wisconsin
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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
- Accounting & Auditing
- Investment & Asset Management
- Consulting & Professional Services
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 BOELTER, Deloitte, and Good Culture, based on current listings on Migrate Mate as of July 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?
Wisconsin, Mequon, and Madison 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 100% of ai data engineer openings tied to Wisconsin are remote or hybrid as of July 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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