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Data Engineer Jobs in Wisconsin (NOW HIRING)

Data Engineer II

Menasha, WI

$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 ...

Data Engineer I Job Summary: The Center for Health Disparities Research (CHDR), led by Director Dr. Amy Kind and Deputy Directors Drs. Nicole Rogus-Pulia and Andrea Gilmore-Bykovskyi, invites ...

Data Engineer - Manager

Milwaukee, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Data Engineer - Senior Manager

Milwaukee, WI · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Data Engineer - Senior Associate

Milwaukee, WI

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Senior Data Engineer

Germantown, WI · On-site

$107K - $146K/yr

Role OverviewThe Senior Data Engineer designs, builds, and maintains scalable data pipelines and data platforms that support analytics, reporting, and data-driven products. This role plays a key part ...

Senior Data Engineer

Kenosha, WI

$96K - $148K/yr

  • Medical

  • Retirement

  • PTO

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL 60085 Fuel the future of data engineering and analytics for our growing North American company! As a ...

Senior Data Engineer

Kenosha, WI · On-site

$96K - $148K/yr

  • Medical

  • Retirement

  • PTO

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL 60085 Fuel the future of data engineering and analytics for our growing North American company! As a ...

Senior Data Engineer

Pleasant Prairie, WI

$96K - $148K/yr

  • Medical

  • Retirement

  • PTO

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL 60085 Fuel the future of data engineering and analytics for our growing North American company! As a ...

Senior Data Engineer

Brookfield, WI · On-site +1

$100K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Engineer will design and build tools and processes that help clients derive meaningful insights from their data. They will help clients understand their data needs and how to use data ...

Senior Data Engineer

Brookfield, WI · Remote

$100K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Engineer will design and build tools and processes that help clients derive meaningful insights from their data. They will help clients understand their data needs and how to use data ...

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

Position Overview As a Senior Data Engineer, this seasoned professional will demonstrate competence and creativity in a wide range of technical areas. This role will have a lead role in the design ...

Sr Data Engineer

Menomonee Falls, WI

$106K - $144K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

As a Senior Data Engineer , you will deliver innovative data products that enable Milwaukee Tool to make fast, datadriven decisions. Working closely with business partners and the Data Platform team ...

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Position Overview As a Senior Data Engineer, this seasoned professional will demonstrate competence and creativity in a wide range of technical areas. This role will have a lead role in the design ...

Showing results 21-40

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.

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 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:

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.

$117K - $140K/yr

Full-time

Posted 5 days ago


Faith Technologies rating

8.0

Company rating: 8.0 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

209th of 449 rated engineering


Job description

You've discovered something special. A company that cares. Cares about leading the way in construction, engineering, manufacturing and renewable energy. Cares about redefining how energy is designed, applied and consumed. Cares about thoughtfully growing to meet market demands. And as "one of the Healthiest 100 Workplaces in America" is focused on the mind/body/soul of team members through our Culture of Care.

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 the development, maintenance, and optimization of our data pipelines and infrastructure. You will collaborate with cross-functional teams to ensure data availability, reliability, and performance for analytics, reporting, and data science purposes. This role offers an exciting opportunity to work with cutting-edge technologies and contribute to data-driven decision-making within the organization.

This role contributes to and may lead project data-related efforts, provides support to business partners, project managers, Scrum Masters, and vendor resources involved in project execution. They will lead development efforts on small to medium projects. They will coordinate and attend meetings as needed. Complete and track action items and deliverables. Attention to detail, organization, communication, and self-initiative are key skills for this role.

MINIMUM REQUIREMENTS

Education: Bachelor's Degree or equivalent education and/or work experience preferred.

Experience: 3+ years direct work experience in a data engineering, analyst, software development or project management capacity.

  • An understanding of data warehousing and ETL processes.
  • Awareness of common programming languages such as Python, Powershell, Java, or Scala
  • Demonstrated experience with SQL and relational databases (e.g., MS-SQL)
  • Familiarity with NoSQL databases (e.g., MongoDB, CosmoDB)
  • Awareness of big data technologies and tools (e.g., Hadoop, Spark, Kafka) is a plus

Travel: 0-10%

Work Schedule: This position works between the hours of 7 AM and 5 PM, Monday- Friday; However, work may be performed at any time on any day of the week to meet business needs.

KEY RESPONSIBILITIES

  • Develops integrations with specific SaaS applications such as; Workday, Salesforce, and ServiceNow.
  • Designs, develops, and maintains data pipelines to efficiently and securely transfer data from various sources to a data mart or lakehouse.
  • Transforms and cleanses raw data into usable formats for analytics, ensuring data accuracy and consistency.
  • Integrates data from multiple sources and platforms, both structured and unstructured, to provide a unified view of data.
  • Administers and optimizes databases to ensure data availability, performance, and security.
  • Implements data quality checks and monitoring to identify and rectify data inconsistencies or anomalies.
  • Works closely with developers, data scientists, analysts, and other stakeholders to understand data requirements and provide support for their data needs.
  • Diagnoses and resolves data-related issues promptly to minimize downtime.
  • Stays up-to-date with industry trends and emerging technologies to recommend and implement improvements in data engineering practices.
  • Maintains comprehensive documentation of data pipelines, configurations, and processes.
  • Coaches, mentors, and motivates project team members and contractors.
  • Ensures that database, integration, and DevSecOps best practices are adhered to and ensure lessons learned are followed.
  • Performs other related duties as required and assigned.

The job description and responsibilities described are intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills, and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate.

How Does FTI Give YOU the Chance to Thrive?

If you're energized by new challenges, FTI provides you with many opportunities. Joining FTI opens doors to redefine what's possible for your future.

Once you're a team member, you're supported and provided with the knowledge and resources to achieve your career goals with FTI. You're officially in the driver's seat of your career, and FTI's career development and continued education programs give you opportunities to position yourself for success.

FTI is a "merit to the core" organization. We recognize and reward top performers, offering competitive, merit-based compensation, career path development and a flexible and robust benefits package.

Benefits are the Game-Changer

We provide industry-leading benefits as an investment in the lives of team members and their families.You're invited to review the full list of FTI benefits available to regular/full-time team members. Start here. Grow here. Succeed here. If you're ready to learn more about your career with FTI, apply today!

Faith Technologies, Inc. is an Equal Opportunity Employer - veterans/disabled.

Employment is contingent upon successfully passing a background and drug test


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