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

1 point system

Senior Data Engineer

Madison, WI · On-site

$106K - $145K/yr

Python (PySpark preferred) Data Platforms / Storage * Cloud data platforms (Azure preferred; AWS/GCP acceptable) * Azure Data Lake Storage Gen2 (ADLS Gen2) or equivalent * Object storage-based data ...

Husch Blackwell Llp

Data Engineering Manager

Madison, WI · On-site +1

The Data Engineering Manager will lead the design and build-out of the firm's cloud-based data platform from the ground up, establishing the foundational infrastructure needed to ensure high-quality ...

Husch Blackwell LLP

Data Engineering Manager

Madison, WI · On-site +1

The Data Engineering Manager will lead the design and build-out of the firm's cloud-based data platform from the ground up, establishing the foundational infrastructure needed to ensure high-quality ...

Abbott

Director, Data Engineering

Madison, WI · On-site

As the Director, Data Engineering , you'll serve as Cancer Diagnostics' senior data executive - setting the enterprise data strategy, governance model, and analytics roadmap that shape how the ...

Abbott

Director, Data Engineering

Madison, WI

As the Director, Data Engineering , you'll serve as Cancer Diagnostics' senior data executive - setting the enterprise data strategy, governance model, and analytics roadmap that shape how the ...

ApartmentIQ

Senior Software Engineer - Data

Madison, WI · On-site

$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 ...

Elephas

Senior Data Scientist

Madison, WI · On-site

The Senior Data Scientist will support clinical correlation data modeling, which includes working with data engineers to assess data quality of incoming assay and clinical data, developing bootstraps ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Sun Prairie, WI

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 Sep 8, 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.

What is a data engineer?

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.

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.

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 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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

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:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Sun Prairie, WI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $126,206 per year, or $60.7 per hour.

Senior Data Engineer

1 point system

Madison, WI • On-site

$106K - $145K/yr

Contractor

Re-posted 29 days ago

Job description

Candidates must have strong, recent hands‑on experience with most of the following:

Languages

  • SQL
  • Python (PySpark preferred)

Data Platforms / Storage

  • Cloud data platforms (Azure preferred; AWS/GCP acceptable)
  • Azure Data Lake Storage Gen2 (ADLS Gen2) or equivalent
  • Object storage–based data lakes
  • Parquet format
  • Lakehouse concepts (Iceberg and/or Delta)

Transformation & Modeling

  • dbt (dbt Core and/or dbt Cloud)

Source Control, GitOps & CI/CD

  • GitHub
  • Pull request–based development
  • CI/CD pipelines (GitHub Actions or equivalent)

Compute (one or more)

  • Snowflake
  • Microsoft Fabric
  • Databricks