1

Data Solutions Developer Jobs in Wisconsin (NOW HIRING)

Data Engineer

West Bend, WI · Hybrid

$111K - $134K/yr

This hands-on role builds reliable data solutions, supports our Enterprise Data Warehouse, and ... Maintain engineering best practices around CI/CD, unit testing, performance testing and ...

Data Engineer

West Bend, WI · On-site

$111K - $134K/yr

This hands-on role builds reliable data solutions, supports our Enterprise Data Warehouse, and ... Maintain engineering best practices around CI/CD, unit testing, performance testing and ...

Data Engineer

West Bend, WI · On-site

$115K - $139K/yr

This hands-on role builds reliable data solutions, supports our Enterprise Data Warehouse, and ... Maintain engineering best practices around CI/CD, unit testing, performance testing and ...

Data Engineer

West Bend, WI · Hybrid

$111K - $134K/yr

This hands-on role builds reliable data solutions, supports our Enterprise Data Warehouse, and ... Maintain engineering best practices around CI/CD, unit testing, performance testing and ...

... robust data solutions for clients. They play a crucial role in transforming raw data into ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

Data Architect

Racine, WI · On-site

$67/hr

Mentor data architects, engineers, and BI developers. * Ensure adherence to enterprise architecture standards, security policies, and compliance requirements. * Support pre-sales, solution estimation ...

GCP Data Engineer

Appleton, WI · On-site

$75 - $80/hr

GCP Data Engineer - (Subcontract at an NRI) Through NRI Resource Management Services (RMS), we offer custom talent solutions to help our clients meet their evolving technology and business needs. We ...

... engineering focus on leveraging advanced technologies and techniques to design and develop ... robust data solutions for clients. They play a crucial role in transforming raw data into ...

Data Engineer (West Bend)

West Bend, WI · Hybrid

$111K - $134K/yr

This hands-on role builds reliable data solutions, supports our Enterprise Data Warehouse, and ... Maintain engineering best practices around CI/CD, unit testing, performance testing and ...

Showing results 41-60

Data Solutions Developer information

What are the key skills and qualifications needed to thrive as a Data Solutions Developer?

To thrive as a Data Solutions Developer, you need strong programming skills (such as Python, SQL, or Java), a solid understanding of data architecture, and typically a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, cloud platforms (like AWS or Azure), and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Analytical thinking, problem-solving, and effective communication help you collaborate with stakeholders and translate business requirements into technical solutions. These skills ensure the delivery of robust, scalable data solutions that drive informed decision-making and business success.

How does a Data Solutions Developer typically collaborate with data analysts and business stakeholders?

As a Data Solutions Developer, collaboration with data analysts and business stakeholders is integral to delivering effective data-driven solutions. You will frequently engage in requirements-gathering sessions to understand business needs, translate those needs into technical specifications, and iterate on data models or pipelines based on feedback. Regular meetings and clear communication are essential to ensure the solutions you develop align with business goals and analytics objectives. Additionally, you may provide technical guidance to analysts on data access or usage and help stakeholders interpret results from the systems you build.

What is the difference between Data Solutions Developer vs Data Engineer?

AspectData Solutions DeveloperData Engineer
Primary FocusDesigning and developing data solutions and applicationsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsSQL, programming, data modeling, cloud platformsETL, database systems, cloud services, scripting
Work EnvironmentCollaborates with data analysts, developers, and business teamsWorks on data architecture, infrastructure, and backend systems
Industry UsageUsed across industries for data application developmentPrimarily in data-heavy sectors like tech, finance, and healthcare

While both roles involve working with data, Data Solutions Developers focus on creating data applications and solutions, whereas Data Engineers concentrate on building the data infrastructure and pipelines. Understanding these differences helps in choosing the right career path or job role.

What does a data solutions developer do?

A data solutions developer designs, develops, and implements data management and analytics solutions to help organizations process and interpret large datasets. They often work with programming languages like SQL, Python, or Java, and use tools such as data warehouses and ETL processes to create efficient data workflows. Their role involves collaborating with stakeholders to understand data needs and ensuring solutions are scalable and secure.

What are popular job titles related to Data Solutions Developer jobs in Wisconsin?

For Data Solutions Developer jobs in Wisconsin, the most frequently searched job titles are:

What cities in Wisconsin are hiring for Data Solutions Developer jobs?

Cities in Wisconsin with the most Data Solutions Developer job openings:

Infographic showing various Data Solutions Developer job openings in Wisconsin as of August 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution.

Full-time

Re-posted yesterday


Job description

Sophisticated Work. In a Great City. Making a Difference.

The State of Wisconsin Investment Board (SWIB) manages more than $178 billion in assets, including those of the fully-funded Wisconsin Retirement System (WRS). SWIB operates at a level more often seen in top-tier global asset managers than in typical public pension funds. SWIB is a home for top talent. Approximately 61 percent of SWIB's investment professionals are Chartered Financial Analyst (CFA) charterholders.
The City of Madison, the state capitol and home of Wisconsin's flagship university, makes regular appearances on lists of best places to live, eat, and play. SWIB offers a modern workspace, hybrid work options, and competitive compensation and benefits.


Serving over 703,000 WRS beneficiaries, SWIB is driven by a clear mission: securing the financial future of those who serve Wisconsin. When you work at SWIB, you know your work matters.

Job Description:

About the Team

Data Services & Engineering Teams at SWIB supports, implements & develops industry-leading systems and platforms to support SWIB's diverse and complex set of investment portfolios and strategies. The team at SWIB strives to be a trusted advisor and partner to the business that is valued as a critical contributor to SWIB's continued growth and success. We effectivelyleveragetechnology to derive the maximum value from it and achieve SWIB's business goals. We keep technology aligned with SWIB's future direction and operate SWIB's technology according to industry standards.

Position Overview

  • Enabledata-driven decision-making through innovative analytical solutions and models.

  • Convey complex data concepts to technical and non-technical stakeholders.

  • Utilize programming languages such as Python and SQL for data manipulation, analysis, and model development.

  • Apply artificial intelligence and machine learning techniques to enhance data analysis, predictive modeling, and decision-making.

  • Act as a liaison between investment personnel and the supporting infrastructureregardingbusiness process change management (IT, Operations, Legal, HR, Strategic Planning, etc.)

  • Implements data quality frameworks and conducting data validation ensuring accuracy of analysis.

  • Develop and deploy models,utilizingtechniques such as regression, classification, and clustering.

  • Create interactive visualizations (e.g.Power BI,Streamlit) to effectively communicate data findings.

  • Deploy data solutions in cloud environments (e.g.Azure, AWS).

  • Utilize data warehousing technologies and platforms (e.g.Snowflake) to support analytics initiatives.

The ideal candidate:

  • Bachelor's degree or advanced degree in finance, business, engineering, computer science, computational economics, math, datascienceor a related program.

  • 1+yearsof experience with data science,data analytics, investment analysis, or similar.

  • Proactively drives data-driven decision-making through innovative analytical solutions and models.

  • Exceptional verbal and written communication skills, adept at conveying complex data concepts to technical and non-technical stakeholders.

  • Proficient in programming languages such as Python,SQL,or R for data manipulation, analysis, and model development.

  • Experience applying artificial intelligence and machine learning techniques to enhance data analysis, predictive modeling, and decision-making.

  • Experience implementing data quality frameworks and conducting data validation ensuring accuracy of analysis.

  • Skilled in developing and deploying machine learning models,utilizingtechniques such as regression, classification, and clustering.

  • Knowledge of cloud platforms (e.g.Azure, AWS) for data storage and processing, with experience in deploying data solutions in cloud environments.

  • Experience with data warehousing technologies and platforms (e.g.Snowflake) to support analytics initiatives.

  • Experience deploying reportsutilizingautomated processes Continuous Integration and Continuous Deployment techniques (CICD).

  • Experience implementing testing tools and data quality metrics/processes to ensure overall data quality of reports that are supported and developed.

  • Superb work ethic, attention to detail, team orientation, collaborative disposition, and commitment to excellence.

  • Interest or experience in investment management, quantitativefinanceand technology.Progresstoward or completion of theCFAdesignation ispreferred

  • Ability to follow rigor in creating/updating documentation,maintainprocess (i.e.JIRA tickets) and following technology and business best practices.

SWIB Offers:
  • Competitive total cash compensation, based on AON (formerly McLagan) industry benchmarks
  • Comprehensive benefits package
  • Educational and training opportunities
  • Tuition reimbursement
  • Challenging work in a professional environment
  • Hybrid work environment

The position requires U.S. work authorization.


Pursuant to our Hybrid Remote Work Policy, all staff have the flexibility to work remotely but are required to have a weekly presence in our offices, the frequency of which is dependent on their distance from office or the job position. Staff are not required to reside locally; however, we offer relocation reimbursement to the Dane County area per our policy.


All SWIB employees are subject to SWIB's Ethics Policy and Personal Trade Approvals Policy. These policies include restrictions on outside business activities and employment and have limits on personal trading. You may request copies of these policies from SWIB's talent acquisition team and any questions can be answered by SWIB's compliance team.