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Data Engineer Jobs in Wisconsin (NOW HIRING)

Pwc

Data Engineer - Senior Manager

Milwaukee, WI · On-site

$124K - $280K/yr

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 ...

Pwc

Data Engineer - Senior Associate

Milwaukee, WI · On-site

$77K - $202K/yr

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 ...

UnitedHealth Group

Sr Data Engineer - Remote

La Crosse, WI · Remote

$112K - $135K/yr

As a Sr Data Engineer on the Optum Serve team, you will be accountable for the entire data engineering lifecycle-including research, proof of concepts, architecture, design, development, testing ...

New

Fielmann USA

Data Engineer II

Green Bay, WI · On-site

$111K - $133K/yr

... data engineering, information systems, or related field or equivalent experience; master's degree preferred • 5+ years of hands-on experience in data engineering or related roles • Professional ...

ULINE

Senior Data Engineer

Kenosha, WI · On-site

$96K - $148K/yr

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 ...

ULINE

Senior Data Engineer

Pleasant Prairie, WI · On-site

$96K - $148K/yr

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 ...

Pwc

Data Engineer - Manager

Milwaukee, WI

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Engineer - Manager, you will play a pivotal role in transforming raw data ...

CFS

Senior Data Engineer

Madison, WI

$150K/yr

Sr. Data Engineer | Permanent | No Sponsorship Available ABOUT OUR CLIENT * The company is financially sound, yet their success is not just defined by their profits; it's about living their core ...

KOHLS

Senior Data Engineer

Menomonee Falls, WI

$106K - $144K/yr

About the Role As Senior Data Engineer, you will lead the development and ownership of domain data products, including batch, streaming and artificial intelligence/machine learning (AI/ML) feature ...

Merz North America

IT/OT Data Engineer

Racine, WI · On-site

$107K - $128K/yr

A Brief Overview As the organization's initial data engineering hire, this position will develop and support reliable OT to MES/UNS pipelines, integrate enterprise applications (ERP, QMS, complaints ...

Fiserv, Inc.

Big Data Engineer, Senior

Milwaukee, WI · On-site

$55 - $72.75/hr

Big Data Engineer, Senior EMPLOYER: Fiserv Solutions, LLC LOCATION: Milwaukee, WI (and various unanticipated locations throughout the US subject to authorization from management) DUTIES: Design ...

Monitise

Big Data Engineer, Senior

Milwaukee, WI · On-site

$55 - $72.75/hr

Big Data Engineer, Senior EMPLOYER: Fiserv Solutions, LLC LOCATION: Milwaukee, WI (and various unanticipated locations throughout the US subject to authorization from management) DUTIES: Design ...

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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 Jun 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 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.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

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 pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
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 June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $130,930 per year, or $62.9 per hour.
Principal Data Engineer

Principal Data Engineer

Continuus Technologies LLC

Germantown, WI • On-site

Full-time

Posted 8 days ago

Be an early applicant

Job description

Role Overview

The Principal Data Engineer is a senior technical authority responsible for defining the organization's data architecture, setting long-term technical strategy, and solving the most complex data engineering challenges. This role influences company-wide data standards, mentors senior engineers, and partners with executive and cross-functional leaders to ensure data platforms scale with the business.

Key Responsibilities

  • Define and evolve the long-term data architecture and technical vision

  • Design highly scalable, resilient data platforms and pipelines

  • Set standards for data modeling, reliability, observability, and governance

  • Lead complex, high-risk technical initiatives and migrations

  • Serve as the escalation point for critical data incidents and root cause analysis

  • Influence tool selection and technology adoption across the data stack

  • Mentor Staff and Senior Data Engineers and elevate engineering excellence

  • Partner with leadership to align data strategy with business goals

  • Ensure data platforms support analytics, ML, and product use cases at scale

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)

  • 10+ years of experience in data engineering or related disciplines

  • Expert-level SQL and strong proficiency in Python or similar languages

  • Deep experience with data warehousing, data lakes, and distributed systems

  • Proven track record of designing and operating large-scale data platforms

  • Strong systems thinking and architectural decision-making skills

Preferred Experience

  • Cloud platforms (AWS, Azure, or GCP)

  • Streaming and real-time systems (Kafka, Spark, Flink, etc.)

  • Advanced data governance, security, and compliance practices

  • Supporting ML, AI, or product-led data platforms

  • Influencing technical direction without direct managerial authority