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Data Engineer Jobs in Sun Prairie, WI (NOW HIRING)

Data Scientist II

Madison, WI · On-site +1

$80K/yr

The Data Engineer II will leverage Power BI, SQL, Python, and GIS tools to build scalable data solutions, create engaging dashboards and maps, and enable efficient data access for research and ...

Senior Software Engineer - Data

Madison, WI

$123K - $162K/yr

The Role We are looking for a Senior Software Engineer to drive the evolution of our shared data platform - the core infrastructure that powers all three ApartmentIQ products. In this role, you will ...

Working closely with data engineers, AI specialists, securityanalyst, and governance leaders, the Data Solutions Architect will translate research and operational requirements into scalable data ...

Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to ...

Data Analyst

Madison, WI · Remote

$115K/yr

This position requires deep expertise in Power BI, data modeling, and stakeholder engagement, along with the ability to contribute to broader data architecture and engineering initiatives. * This is ...

Data Analyst

Madison, WI · Remote

$115K/yr

This position requires deep expertise in Power BI, data modeling, and stakeholder engagement, along with the ability to contribute to broader data architecture and engineering initiatives. * This is ...

Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to ...

Collaborate with data engineering teams to ensure high-quality, governed, and accessible data for AI initiatives. * Develop AI-enabled analytics and predictive models supporting manufacturing, supply ...

Collaborate with data engineering teams to ensure high-quality, governed, and accessible data for AI initiatives. * Develop AI-enabled analytics and predictive models supporting manufacturing, supply ...

Collaborate with data engineering teams to ensure high-quality, governed, and accessible data for AI initiatives. * Develop AI-enabled analytics and predictive models supporting manufacturing, supply ...

We are seeking a Data Analytics Engineer for a 6 month contract-to-hire role with a financial services company renowned for being ranked as one of the best companies to work for. The role requires a ...

The Data and Analytics Team within the Information Technology department provides enterprise data engineering, analytics, reporting, visualization, and predictive analytics solutions. The team ...

Partner with the Data Engineering team to source, integrate, and validate data from across the Firm * Develop and apply data quality standards to ensure reliable, trustworthy outputs * Document data ...

Showing results 21-40

Data Engineer information

See Sun Prairie, WI salary details

$43.3K

$126.2K

$172.7K

How much do data engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data engineer in Sun Prairie, WI is $126,206.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,400.00 and $133,800.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
What are the most commonly searched types of Data Engineer jobs in Sun Prairie, WI? The most popular types of Data Engineer jobs in Sun Prairie, WI are:
What are popular job titles related to Data Engineer jobs in Sun Prairie, WI? For Data Engineer jobs in Sun Prairie, WI, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Sun Prairie, WI look for? The top searched job categories for Data Engineer jobs in Sun Prairie, WI are:
What cities near Sun Prairie, WI are hiring for Data Engineer jobs? Cities near Sun Prairie, WI with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Sun Prairie, WI as of July 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $126,206 per year, or $60.7 per hour.

Data Scientist II

Wisconsin

Madison, WI • On-site, Remote

$80K/yr

Full-time

Retirement, PTO

Posted 23 days ago


Job description

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.Job Category:Academic StaffEmployment Type:Terminal (Fixed Term)Job Profile:Data Scientist IIJob Summary:

The Office of Informatics is seeking an outstanding candidate for a Data Scientist II position to support research related data needs. The Data Scientist II will design, develop, and maintain data pipelines, data models, and analytical tools to support research and decision-making across multiple stakeholder groups. This role works collaboratively with researchers, analysts, and operational partners to transform complex data into accessible, actionable insights, including geospatial data and visualizations. The Data Engineer II will leverage Power BI, SQL, Python, and GIS tools to build scalable data solutions, create engaging dashboards and maps, and enable efficient data access for research and operational use cases.

It is anticipated that this position will be remote and requires work be performed at an offsite, non-campus work location.

Key Job Responsibilities:
  • Organizes and automates project steps for data preparation and analysis
  • Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators
  • Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources
  • Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows
  • Independently identifies and implements appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining
Department:

School of Medicine and Public Health, Office of Informatics, Research Data Services.

Compensation:

The starting salary for the position is $80,000 annually; but is negotiable based on experience and qualifications.

Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. For more information, refer to the campus benefits webpage. SMPH Faculty /Academic Staff Benefits Flyer 2026

Required Qualifications:
  • Experience developing dashboards for multiple stakeholders
  • Experience writing complex SQL queries for data extraction and transformation
  • Experience using Python for data processing, scripting, or automation
  • Demonstrated ability to translate business needs into data visualizations
  • Strong analytical, problem-solving, and communication skills
Preferred Qualifications:
  • Professional experience developing Power BI or Tableau dashboards
  • Experience with data modeling concepts (star schema, dimensional modeling)
  • Familiarity with data warehousing platforms (e.g., Snowflake, Redshift, Azure Synapse)
  • Experience with Power BI Service, including publishing and governance
  • Knowledge of data governance, security, and best practices
  • Experience working in a collaborative or matrixed environment
  • Experience working with geographic information systems (GIS) and spatial data
  • Ability to design and create engaging, user-friendly maps and geospatial visualizations for research and operational use cases
Education:

Master's degree preferred;

How to Apply:

For the best experience completing your application, we recommend using Chrome or Firefox as your web browser.

To apply for this position, select either "I am a current employee" or "I am not a current employee" under Apply Now. You will then be prompted to upload your application materials.

Important: The application has only one attachment field. Upload the following documents in that field, either as a single combined file or as multiple files in the same upload area.
Cover letter (required)
Resume (required)

Your cover letter should address how your training and experience aligns with the required and preferred qualifications listed above. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected.

University sponsorship is not available for this position, including transfers of sponsorship and TN visas.The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment. This position is currently scheduled to endafter 12 monthsand will require eligibility to work until that time.If you are selected for this position you must provide proof of work authorization and eligibility to work.

Contact Information:

Cody Roekle, croekle@wisc.edu608-263-7676

Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.

Institutional Statement on Diversity:

Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.
The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.

The University of Wisconsin-Madison is an Equal OpportunityEmployer.

Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgroundsand encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.

To request a disability or pregnancy-related accommodationfor any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR)in the division you are applying to.Please make your request as soon as possible to help the university respond most effectively to you.

Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.
The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).
The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.