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Data Engineer Jobs in Wisconsin (NOW HIRING)

CTech Manufacturing

Data Engineer

Schofield, WI · On-site

$114K - $137K/yr

Description: We're seeking a motivated and detail oriented Data Engineer to join our growing technology team. This is an excellent opportunity for a recent graduate or early career professional ...

Rural Mutual Insurance

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence ...

Rural Mutual Insurance

Data Engineer

Milwaukee, WI · On-site +1

$112K - $135K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence ...

Rural Mutual Insurance

Data Engineer

Madison, WI · On-site +1

$115K - $138K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence ...

Rural Mutual Insurance

Data Engineer

Madison, WI · On-site

$115K - $138K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence ...

Marquette University

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Posting Details Posting Details Posting Number NA01568 Position Information Position Title Data Engineer State Employment Status Full Time Position Status Regular If Limited Term (End Date of ...

Rural Mutual Insurance

Data Engineer

Madison, WI

$120K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence ...

Continuus Technologies LLC

Staff Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

Role OverviewThe Staff Data Engineer is a senior technical leader responsible for designing, scaling, and governing the organization's data platform and pipelines. This role sets data engineering ...

Rural Mutual Insurance

Data Engineer

Madison, WI

$120K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence ...

Core BTS

GCP Data Engineer

Appleton, WI

$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 ...

Bespoke Labs

Data Engineer

Menomonie, WI · On-site

$113K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Racine, WI · On-site

$107K - $128K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Continuus Technologies LLC

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

OverviewThe Junior Data Engineer supports the design, development, and maintenance of data pipelines and data infrastructure. This role focuses on building reliable, scalable data solutions that ...

Bespoke Labs

Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Green Bay, WI · On-site

$111K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Kenosha, WI · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Whitewater, WI · On-site

$112K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Faith Technologies

Data Engineer II

Menasha, WI · On-site

$117K - $140K/yr

The Data Engineer II delivers a range of modern technology solutions while implementing best practices for key stakeholders across the company. Main responsibilities of the Data Engineer II include ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Wisconsin

Data Engineer information

See Wisconsin salary details

$44.9K

$130.9K

$179.2K

How much do data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data engineer in Wisconsin is $130,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $138,800.00 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 Wisconsin?

The most popular types of Data Engineer jobs in Wisconsin are:

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

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

What job categories do people searching Data Engineer jobs in Wisconsin look for?

The top searched job categories for Data Engineer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Data Engineer jobs?

Cities in Wisconsin with the most Data Engineer job openings:

What are popular job titles related to Data Engineer jobs in WI?

For Data Engineer jobs in WI, the most frequently searched job titles are:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $130,930 per year, or $62.9 per hour.

Data Engineer

CTech Manufacturing

Schofield, WI • On-site

$114K - $137K/yr

Full-time

Retirement

Re-posted 28 days ago

Job description

Description:

We’re seeking a motivated and detail oriented Data Engineer to join our growing technology team. This is an excellent opportunity for a recent graduate or early career professional looking to build hands-on experience designing modern data solutions that directly impact business operations and decision making. In this role you will work closely with cross functional teams to help transition and modernize our existing ETL pipelines into scalable ELT processes, develop reporting and dashboard solutions, and support future AI and analytics initiatives.


Responsibilities:

Design, develop, and maintain ELT pipelines that move and transform data between business systems and databases

Assist in transitioning ETL workflows into scalable, efficient ELT processes

Work with SQL Server, PostgreSQL, and MongoDB databases to support operational and analytical needs

Develop, maintain, and optimize SQL queries, stored procedures, and database objects

Create and maintain business reports, dashboards, and visualizations using Power BI, SSRS, and related reporting tools

Collaborate with business stakeholders to understand reporting requirements and deliver actionable insights

Monitor and troubleshoot data pipelines, integrations, and reporting workflows to ensure reliability and accuracy

Document data processes, workflows, and technical solutions for internal teams

Collaborate with software developers and operational teams to support enterprise data initiatives

Stay current with emerging technologies, tools, and best practices in data engineering and analytics

Requirements:

Associate’s degree or higher in Computer Science, Data Science, Information Systems, or a related field

0-3 years of professional experience in data engineering, business intelligence, analytics, or related technical roles

Strong foundational knowledge of SQL and relational database concepts

Experience working with SQL Server, PostgreSQL, and/or MongoDB

Familiarity with data integration and workflow tools such as Apache Nifi

Experience developing reports and dashboards using Power BI, SSRS, or similar business intelligence platforms

Understanding of ETL/ELT concepts and data transformation workflows

Basic understanding of data modeling, normalization, and database design principles

Strong analytical and problem solving skills with attention to detail

Ability to manage multiple tasks and prioritize effectively in a collaborative environment

Eagerness to learn new technologies and grow within a data engineering career path


If you meet the above requirements and are excited about the opportunity to work with a talented team on challenging projects, we encourage you to apply. We offer a competitive salary, benefits package, 401(k) match, and opportunities for growth and development within the company. We also provide ongoing training and professional development opportunities to help our team members stay current with emerging technologies and best practices in data engineering.