Data Analytics Engineer Jobs in Wisconsin
Data Analytics Engineer jobs in Wisconsin are in steady demand, concentrated in healthcare systems, financial services, manufacturing analytics, and insurance technology across Milwaukee, Madison, and the Fox Valley corridor. Large employers with durable Wisconsin footprints, including Epic Systems, Fiserv, and American Family Insurance, hire data analytics engineers at both mid-level and senior seniority. The most sought-after specialties in the state are cloud data pipeline development, dbt and Snowflake stack expertise, and healthcare data integration. See the openings below and apply to the ones that match your experience.
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To be successful in this role, you will generally have:
- Bachelor’s degree in computer science, business, supply chain, or operations required.
- Minimum of 3 years of hands-on experience with Azure Databricks, Microsoft Azure, and modern data platforms.
- Minimum of 3 years of working experience in SQL, Python, Yaml and ETL/data integration processes.
- Proven ability to design and support data pipelines and data engineering solutions.
- Experience managing multiple projects and collaborating with cross-functional stakeholders.
- Strong analytical, problem-solving, communication, and organizational skills
Sponsorship: Current or future sponsorship is not available for this position. Candidates must be legally authorized to work in the United States without sponsorship.
Benefits
We offer a comprehensive benefits package designed to support your health, financial security, and work-life balance, including:
Health & Wellness
- Medical, dental, and vision coverage
- Wellness programs
- Fitness reimbursement
Financial Security
- Retirement savings with company match
- Life and disability insurance
- Optional supplemental coverage
Career & Lifestyle
- Paid time off at start
- Education reimbursement
- Employee discount programs
Mental Health Support
- Confidential counseling and resources for personal and work-life needs
Key Responsibilities
- Design, develop, and maintain data pipelines, data integrations, and scalable data solutions.
- Partner with internal stakeholders to gather requirements, analyze processes, and translate business needs into technical solutions.
- Lead projects through the full lifecycle, including requirements gathering, design, testing, implementation, and ongoing support.
- Serve as the primary liaison between business and IT teams, ensuring alignment and effective communication.
- Drive business process improvements through data analysis, system enhancements, and operational efficiencies.
Join the Rockline Team
At Rockline, you'll find the stability of a successful global manufacturer, the accessibility of a privately held company, and the opportunity to help shape strategic decisions that drive our future.
If you're ready to lead, influence, and make a lasting impact, apply today.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.
See All 17 Data Analytics Engineer Jobs in Wisconsin
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Find Data Analytics Engineer JobsData Analytics Engineer Jobs by City in Wisconsin
Where Wisconsin roles are concentrated, by current openings.
Data Analytics Engineer Job Market in Wisconsin
A snapshot from current Wisconsin openings, updated as new roles post.
Who's Hiring


What Wisconsin Employers Look For
The qualifications that appear most often in data analytics engineer jobs across Wisconsin.
- Bachelor's degree in computer science, data engineering, information systems, or a related field
- Proficiency in SQL and at least one scripting language such as Python or Scala
- Hands-on experience building and maintaining data pipelines and ETL or ELT workflows
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud data services
- Experience with modern data stack tools including dbt, Snowflake, Databricks, or Airflow
- Strong ability to collaborate with data analysts, data scientists, and business stakeholders
Data Analytics Engineer Jobs in Wisconsin: Frequently Asked Questions
How do you become a data analytics engineer in Wisconsin?
Data analytics engineering in Wisconsin requires no state-issued license or registration, so the path runs through education and demonstrated technical skill. Most Wisconsin employers expect at minimum a bachelor's degree in computer science, data engineering, or a related field, followed by hands-on experience with data pipelines and cloud platforms. Earning a vendor credential such as a Snowflake or AWS certification strengthens candidacy, and Wisconsin's tech-heavy employers in Madison and Milwaukee routinely recruit from University of Wisconsin campuses.
How much do data analytics engineers make in Wisconsin?
Data analytics 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 data analytics engineers in Wisconsin?
Companies currently hiring data analytics engineers in Wisconsin include Brunswick, ABB, and TDS, per current listings on Migrate Mate as of November 2026. Wisconsin's strong presence of healthcare IT, insurance, and financial technology firms means data engineering roles here are often tied to large, stable enterprise environments with multi-year data modernization programs.
Which Wisconsin cities have the most data analytics engineer jobs?
Fond du Lac, Madison, and Waukesha lead for data analytics engineer openings in Wisconsin. Milwaukee's concentration of financial services and insurance headquarters drives the bulk of demand, while Madison benefits from Epic Systems' sprawling health IT campus and the University of Wisconsin's research ecosystem, making smaller or suburban postings in those areas traceable to those anchor employers rather than a broad regional tech scene.
Are there remote data analytics engineer jobs in Wisconsin?
Yes, and more than most fields, because data analytics engineering is inherently desk-based and cloud-connected. About 100% of data analytics engineer openings tied to Wisconsin are remote or hybrid as of November 2026, reflecting how portable the work is across environments. Pipeline development, data modeling, and dbt workflow maintenance are the parts of the role most commonly performed fully remotely.
How can I get hired as a data analytics engineer in Wisconsin with little or no experience?
The most realistic entry path is moving from a data analyst or business intelligence developer role, since those positions use overlapping SQL and visualization skills while requiring less pipeline engineering depth. Large Wisconsin employers including Epic Systems and Fiserv hire associate data or analytics roles that serve as on-ramps, and the University of Wisconsin system produces data-focused graduates that these employers actively recruit. Building a portfolio of personal pipeline projects using open datasets and earning a cloud platform credential gives entry-level candidates a concrete edge in Wisconsin interviews.
Where can I find and apply to data analytics engineer jobs in Wisconsin?
You can find and apply to data analytics engineer jobs in Wisconsin on Migrate Mate, which lists current Wisconsin openings across industries and experience levels. Search the listings for roles that fit your stack and seniority, then apply directly to the ones that match.
See All 17 Data Analytics Engineer Jobs in Wisconsin
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