Data Engineer Jobs in Wisconsin
Data Engineer jobs in Wisconsin are concentrated in Milwaukee, Madison, and Green Bay, where employers like Fiserv, American Family Insurance, and Epic Systems have built substantial data engineering teams supporting financial technology, insurance analytics, and healthcare software. The most in-demand specialties include cloud data pipeline development, real-time analytics engineering, and data warehouse architecture, with openings at both the mid-level and senior range. Wisconsin's financial services and health technology sectors keep hiring consistent across economic cycles. Find a role that fits below and apply directly.
Find Data Engineer JobsOverview
Open roles29
Top employerTrane Technologies
Top cityGreen Bay, WI
Cities hiring14
Work type82% Hybrid
Top industryInvestment
Showing 5 of 29+ Data Engineer jobs
Senior Cloud Data Engineer
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Added 2d ago
Rosen's Diversified, Inc.
Senior Cloud Data Engineer
Green Bay, Wisconsin
Added 2d ago
Senior Cloud Data Engineer
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Added 3d ago
Rosen's Diversified
Senior Cloud Data Engineer
Green Bay, Wisconsin
Added 3d ago
Sr Project Engineer - Data Center Supplier Quality
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Added 5d ago
Rehlko
Sr Project Engineer - Data Center Supplier Quality
Sheboygan, Wisconsin
Added 5d ago
Sr. Business Analyst - Data Engineer
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Added 5d ago
Rockline Industries, Inc
Sr. Business Analyst - Data Engineer
Sheboygan, Wisconsin
Added 5d ago
Data Engineer
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Added 1w ago
Emplify Health
Data Engineer
Wisconsin
Added 1w ago
Added 2d ago
Senior Cloud Data Engineer
Rosen's Diversified, Inc.·Green Bay, Wisconsin
Job functions:
Bachelor's degree
Job Description
Overview:
The Senior Cloud Data Engineer designs, develops, and optimizes scalable data solutions that support manufacturing operations, business intelligence, advanced analytics, and digital transformation. This role builds and maintains cloud-based data pipelines using Azure Databricks and related Azure services to integrate enterprise operational and business data. The ideal candidate combines hands-on cloud data engineering experience with collaboration across business stakeholders, analysts, architects, and data engineers to deliver reliable, secure, and high-performing data products that enable data-driven decisions across the organization.
Essential Functions and Responsibilities
We are a family-owned business established in 1946 with nearly 5,000 employees. Over the years, Rosen’s Diversified, Inc. (“RDI”) has grown into a holding company of vertically integrated business units, including American Foods Group, America’s Service Line, Scientific Life Solutions, and Rosen’s Inc. By understanding our employees, our customers and ourselves, we are preparing RDI for the future generations of success.
Our Company is comprised of innovative entrepreneurs who value our casual and down to earth culture. As a member of the Rosen’s family, you will find yourself challenged and rewarded for your professional contributions as well as the Company’s success.
WHAT WE OFFER
JOB SUMMARY
The Senior Cloud Data Engineer designs, develops, and optimizes scalable data solutions that support manufacturing operations, business intelligence, advanced analytics, and digital transformation. This role builds and maintains cloud-based data pipelines using Azure Databricks and related Azure services to integrate enterprise operational and business data. The ideal candidate combines hands-on cloud data engineering experience with collaboration across business stakeholders, analysts, architects, and data engineers to deliver reliable, secure, and high-performing data products that enable data-driven decisions across the organization.
Essential Functions and Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines using Azure Databricks, PySpark, Python, and SQL.
- Build and optimize ingestion frameworks for ERP, MES, Industrial IoT, quality, supply chain, inventory, finance, and related operational systems.
- Develop reusable engineering patterns and standards that improve delivery speed, supportability, and reliability.
- Implement and support lakehouse solutions using Delta Lake and Medallion Architecture across Bronze, Silver, and Gold layers.
- Design and optimize data models for reporting, analytics, AI, and machine learning use cases.
- Maintain data lineage, metadata, technical documentation, and operational runbooks.
- Integrate Azure Databricks with Azure Data Factory, Azure Data Lake Storage Gen2, Azure Key Vault, Microsoft Fabric, Power BI, and Azure DevOps.
- Support orchestration and movement of data between enterprise applications and cloud platforms.
- Monitor and optimize Databricks clusters, jobs, notebooks, and workflows for performance, scalability, and cost efficiency.
- Troubleshoot production issues, identify root causes, and implement sustainable corrective actions.
- Contribute to monitoring, alerting, testing, and operational support practices.
- Apply organizational standards for data quality, governance, privacy, security, and compliance.
- Implement role-based access controls and governed data access using Unity Catalog and Azure security services.
- Build automated validation, auditing, and data quality controls into engineering workflows.
- Partner with business users, analysts, architects, and IT teams to translate requirements into maintainable technical solutions.
- Participate in Agile ceremonies, sprint planning, code reviews, and technical design reviews.
- Mentor junior engineers and promote coding, testing, documentation, and deployment best practices.
QUALIFICATIONS, KNOWLEDGE, SKILLS, AND EXPERIENCE
- Bachelor's degree in computer science, information systems, data engineering, or a related field; an equivalent combination of education and experience may be considered.
- 3–5 years of experience in data engineering, cloud engineering, or analytics platform development.
- Minimum 2 years of hands-on experience developing solutions with Azure Databricks.
- Experience supporting enterprise data solutions in a manufacturing or industrial environment.
- Strong knowledge of Azure Databricks, Apache Spark, PySpark, Python, SQL, Delta Lake, lakehouse architecture, data modeling, and data warehousing concepts.
- Experience with Azure Data Lake Storage Gen2, Azure Data Factory, Azure DevOps, Git source control, and CI/CD practices for data platforms.
- Experience with data quality, security, monitoring, troubleshooting, and performance tuning.
- Knowledge of manufacturing data domains such as ERP, MES, production planning, inventory, supply chain, quality management, maintenance, or Industrial IoT.
- Ability to work with operational stakeholders and translate manufacturing processes into reliable data requirements and solutions.
ADDITIONAL SKILLS/EXPERIENCE/REQUIREMENTS
- Experience with Microsoft Fabric, Power BI, or real-time and streaming data workloads.
- Hands-on experience with Unity Catalog and governed lakehouse implementations.
- Exposure to machine learning or AI data preparation and deployment patterns.
- Experience with Infrastructure as Code using Terraform, Bicep, or ARM templates.
- Preferred knowledge of Infor M3, including its application design, business data model, and core table structures used across manufacturing, supply chain, inventory, finance, and related functional areas.
- Preferred understanding of production, planning, inventory, quality, maintenance, and supply chain processes.
- Microsoft Certified: Azure Data Engineer Associate.
- Databricks Certified Data Engineer Associate or Professional.
- Microsoft Certified: Fabric Analytics Engineer Associate.
INTENT AND FUNCTION OF JOB DESCRIPTIONS
Job descriptions assist organizations in ensuring that the hiring process is fairly administered and that qualified employees are selected. All descriptions have been reviewed to ensure that only essential functions and basic duties have been included. Requirements, skills, and abilities included have been determined to be the minimal standards required to successfully perform the positions. In no instance, however, should the duties, responsibilities, and requirements delineated be interpreted as all-inclusive. Additional functions and requirements may be assigned by supervisors as deemed appropriate. Job descriptions are not intended as and do not create employment contracts. The organization maintains its status as an at-will employer. Employees can be terminated for any reason not prohibited by law.
Summary:
OUR FAMILY CULTURE
We are a family-owned business established in 1946 with nearly 5,000 employees. Over the years, Rosen’s Diversified, Inc. (“RDI”) has grown into a holding company of vertically integrated business units, including American Foods Group, America’s Service Line, Scientific Life Solutions, and Rosen’s Inc. By understanding our employees, our customers and ourselves, we are preparing RDI for the future generations of success.
Our Company is comprised of innovative entrepreneurs who value our casual and down to earth culture. As a member of the Rosen’s family, you will find yourself challenged and rewarded for your professional contributions as well as the Company’s success.
WHAT WE OFFER
- Privately held, family-owned (three generations) business which operates with a mentality of what should be done versus share holder requirements.
- Excellent health and welfare benefits including but not limited to medical, dental, vision, disability, and a variety of voluntary benefit options.
- 401(k) benefits with annual company match for eligible employees.
- Professional and personal development programs including Career and Learning Paths providing opportunities for advancement.
Rosen's Diversified, Inc.
Senior Cloud Data Engineer
Green Bay, Wisconsin
Added 2d ago
Job functions:
Bachelor's degree
Job Description
Overview:
The Senior Cloud Data Engineer designs, develops, and optimizes scalable data solutions that support manufacturing operations, business intelligence, advanced analytics, and digital transformation. This role builds and maintains cloud-based data pipelines using Azure Databricks and related Azure services to integrate enterprise operational and business data. The ideal candidate combines hands-on cloud data engineering experience with collaboration across business stakeholders, analysts, architects, and data engineers to deliver reliable, secure, and high-performing data products that enable data-driven decisions across the organization.
Essential Functions and Responsibilities
We are a family-owned business established in 1946 with nearly 5,000 employees. Over the years, Rosen’s Diversified, Inc. (“RDI”) has grown into a holding company of vertically integrated business units, including American Foods Group, America’s Service Line, Scientific Life Solutions, and Rosen’s Inc. By understanding our employees, our customers and ourselves, we are preparing RDI for the future generations of success.
Our Company is comprised of innovative entrepreneurs who value our casual and down to earth culture. As a member of the Rosen’s family, you will find yourself challenged and rewarded for your professional contributions as well as the Company’s success.
WHAT WE OFFER
JOB SUMMARY
The Senior Cloud Data Engineer designs, develops, and optimizes scalable data solutions that support manufacturing operations, business intelligence, advanced analytics, and digital transformation. This role builds and maintains cloud-based data pipelines using Azure Databricks and related Azure services to integrate enterprise operational and business data. The ideal candidate combines hands-on cloud data engineering experience with collaboration across business stakeholders, analysts, architects, and data engineers to deliver reliable, secure, and high-performing data products that enable data-driven decisions across the organization.
Essential Functions and Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines using Azure Databricks, PySpark, Python, and SQL.
- Build and optimize ingestion frameworks for ERP, MES, Industrial IoT, quality, supply chain, inventory, finance, and related operational systems.
- Develop reusable engineering patterns and standards that improve delivery speed, supportability, and reliability.
- Implement and support lakehouse solutions using Delta Lake and Medallion Architecture across Bronze, Silver, and Gold layers.
- Design and optimize data models for reporting, analytics, AI, and machine learning use cases.
- Maintain data lineage, metadata, technical documentation, and operational runbooks.
- Integrate Azure Databricks with Azure Data Factory, Azure Data Lake Storage Gen2, Azure Key Vault, Microsoft Fabric, Power BI, and Azure DevOps.
- Support orchestration and movement of data between enterprise applications and cloud platforms.
- Monitor and optimize Databricks clusters, jobs, notebooks, and workflows for performance, scalability, and cost efficiency.
- Troubleshoot production issues, identify root causes, and implement sustainable corrective actions.
- Contribute to monitoring, alerting, testing, and operational support practices.
- Apply organizational standards for data quality, governance, privacy, security, and compliance.
- Implement role-based access controls and governed data access using Unity Catalog and Azure security services.
- Build automated validation, auditing, and data quality controls into engineering workflows.
- Partner with business users, analysts, architects, and IT teams to translate requirements into maintainable technical solutions.
- Participate in Agile ceremonies, sprint planning, code reviews, and technical design reviews.
- Mentor junior engineers and promote coding, testing, documentation, and deployment best practices.
QUALIFICATIONS, KNOWLEDGE, SKILLS, AND EXPERIENCE
- Bachelor's degree in computer science, information systems, data engineering, or a related field; an equivalent combination of education and experience may be considered.
- 3–5 years of experience in data engineering, cloud engineering, or analytics platform development.
- Minimum 2 years of hands-on experience developing solutions with Azure Databricks.
- Experience supporting enterprise data solutions in a manufacturing or industrial environment.
- Strong knowledge of Azure Databricks, Apache Spark, PySpark, Python, SQL, Delta Lake, lakehouse architecture, data modeling, and data warehousing concepts.
- Experience with Azure Data Lake Storage Gen2, Azure Data Factory, Azure DevOps, Git source control, and CI/CD practices for data platforms.
- Experience with data quality, security, monitoring, troubleshooting, and performance tuning.
- Knowledge of manufacturing data domains such as ERP, MES, production planning, inventory, supply chain, quality management, maintenance, or Industrial IoT.
- Ability to work with operational stakeholders and translate manufacturing processes into reliable data requirements and solutions.
ADDITIONAL SKILLS/EXPERIENCE/REQUIREMENTS
- Experience with Microsoft Fabric, Power BI, or real-time and streaming data workloads.
- Hands-on experience with Unity Catalog and governed lakehouse implementations.
- Exposure to machine learning or AI data preparation and deployment patterns.
- Experience with Infrastructure as Code using Terraform, Bicep, or ARM templates.
- Preferred knowledge of Infor M3, including its application design, business data model, and core table structures used across manufacturing, supply chain, inventory, finance, and related functional areas.
- Preferred understanding of production, planning, inventory, quality, maintenance, and supply chain processes.
- Microsoft Certified: Azure Data Engineer Associate.
- Databricks Certified Data Engineer Associate or Professional.
- Microsoft Certified: Fabric Analytics Engineer Associate.
INTENT AND FUNCTION OF JOB DESCRIPTIONS
Job descriptions assist organizations in ensuring that the hiring process is fairly administered and that qualified employees are selected. All descriptions have been reviewed to ensure that only essential functions and basic duties have been included. Requirements, skills, and abilities included have been determined to be the minimal standards required to successfully perform the positions. In no instance, however, should the duties, responsibilities, and requirements delineated be interpreted as all-inclusive. Additional functions and requirements may be assigned by supervisors as deemed appropriate. Job descriptions are not intended as and do not create employment contracts. The organization maintains its status as an at-will employer. Employees can be terminated for any reason not prohibited by law.
Summary:
OUR FAMILY CULTURE
We are a family-owned business established in 1946 with nearly 5,000 employees. Over the years, Rosen’s Diversified, Inc. (“RDI”) has grown into a holding company of vertically integrated business units, including American Foods Group, America’s Service Line, Scientific Life Solutions, and Rosen’s Inc. By understanding our employees, our customers and ourselves, we are preparing RDI for the future generations of success.
Our Company is comprised of innovative entrepreneurs who value our casual and down to earth culture. As a member of the Rosen’s family, you will find yourself challenged and rewarded for your professional contributions as well as the Company’s success.
WHAT WE OFFER
- Privately held, family-owned (three generations) business which operates with a mentality of what should be done versus share holder requirements.
- Excellent health and welfare benefits including but not limited to medical, dental, vision, disability, and a variety of voluntary benefit options.
- 401(k) benefits with annual company match for eligible employees.
- Professional and personal development programs including Career and Learning Paths providing opportunities for advancement.
See All 29 Data Engineer Jobs in Wisconsin
Find roles in Wisconsin that match your experience and apply in just a few clicks.
Find Data Engineer JobsData Engineer Jobs by City in Wisconsin
Where Wisconsin roles are concentrated, by current openings.
Green Bay
5 jobsMilwaukee
4 jobsMadison
3 jobsLa Crosse
3 jobsWest Bend
3 jobsSheboygan
2 jobsLomira
1 jobAppleton
1 jobWaukesha
1 jobOak Creek
1 jobBrookfield
1 jobCottage Grove
1 jobMenomonee Falls
1 jobPort Washington
1 jobData Engineer Job Market in Wisconsin
A snapshot from current Wisconsin openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Investment & Asset Management
What Wisconsin Employers Look For
The qualifications that appear most often in data engineer jobs across Wisconsin.
- Bachelor's degree in computer science, information systems, or a related engineering field
- Proficiency in SQL and at least one scripting language such as Python or Scala
- Hands-on experience building and maintaining ETL or ELT data pipelines
- Familiarity with cloud platforms including AWS, Azure, or Google Cloud
- Experience with data warehousing tools such as Snowflake, Redshift, or BigQuery
- Knowledge of data modeling principles and version control systems like Git
Data Engineer Jobs in Wisconsin: Frequently Asked Questions
How do you become a data engineer in Wisconsin?
Data engineering in Wisconsin has no state-issued license or registration requirement, so the path runs through education and demonstrated technical skill. Most Wisconsin employers expect a bachelor's degree in computer science, information systems, or engineering, followed by hands-on experience with SQL, Python, and a major cloud platform. Building a portfolio of pipeline or data warehouse projects is the clearest credential for candidates without deep professional history. Wisconsin's university system and technical college network, including UW-Madison and Milwaukee School of Engineering, produce candidates that local employers actively recruit.
Which companies hire data engineers in Wisconsin?
Companies currently hiring data engineers in Wisconsin include Trane Technologies, NICOLET NATIONAL BANK, and West Bend Insurance, per current listings on Migrate Mate as of November 2026. Wisconsin's concentration of financial technology, health information systems, and insurance firms means data engineering demand here tends to be stable and driven by large, established organizations rather than startup cycles.
Which Wisconsin cities have the most data engineer jobs?
Green Bay, Milwaukee, and Madison account for the largest share of data engineer openings in Wisconsin. Milwaukee's density of financial services and fintech firms anchors the market, Madison draws demand from Epic Systems and state government data initiatives, and Green Bay's manufacturing and insurance base contributes a steady secondary volume of openings.
Are there remote data engineer jobs in Wisconsin?
Yes, and more than most fields. Data engineering is a desk-based, tool-driven discipline that adapts well to remote work, and about 91% of data engineer openings tied to Wisconsin are remote or hybrid as of November 2026. Pipeline development, data modeling, and cloud infrastructure work are the parts of the role most commonly offered fully remote by Wisconsin employers.
How can I get hired as a data engineer in Wisconsin with little or no experience?
The most realistic entry path is moving laterally from a data analyst or business intelligence role into engineering responsibilities. Large Wisconsin employers like Epic Systems, American Family Insurance, and Fiserv regularly bring in analysts who already know SQL and reporting tools, then develop pipeline and cloud skills on the job. Building two or three end-to-end portfolio projects using publicly available datasets and hosting them on a code repository is the credential that moves an entry-level resume forward. UW-Madison and MSOE graduates also access structured early-career programs at these anchor employers.
Where can I find and apply to data engineer jobs in Wisconsin?
You can find and apply to data engineer jobs in Wisconsin on Migrate Mate, which lists current Wisconsin openings across Milwaukee, Madison, Green Bay, and beyond. Find roles that match your experience level and specialization, then apply directly to the employers posting them.
See All 29 Data Engineer Jobs in Wisconsin
Find roles in Wisconsin that match your experience and apply in just a few clicks.
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