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Data Engineer Jobs in Wisconsin (NOW HIRING)

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 ...

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 ...

Data Engineer (Hybrid)

Cottage Grove, WI · On-site

$108K - $130K/yr

As a Data Engineer, you'll play a critical role in shaping and executing Summit's data strategy. Through technical expertise, innovation, and collaboration, you'll help ensure our data is accurate ...

Data Engineer (Hybrid)

Cottage Grove, WI · On-site

$108K - $130K/yr

As a Data Engineer, you'll play a critical role in shaping and executing Summit's data strategy. Through technical expertise, innovation, and collaboration, you'll help ensure our data is accurate ...

Senior Data Engineer

Milwaukee, WI · On-site

$104K - $141K/yr

  • Retirement

  • PTO

We are looking for a Senior Data Engineer who is passionate about building trusted, scalable data products with modern cloud technologies. As part of the Data & Analytics team, you will design and ...

Senior Data Engineer

Milwaukee, WI · Hybrid

$104K - $141K/yr

As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

We are seeking a highly experienced Senior AI Data Engineer to help transform our Enterprise Data Platform into an AI-native, intelligent platform where AI agents can discover, understand, and ...

We are seeking a highly experienced Senior AI Data Engineer to help transform our Enterprise Data Platform into an AI-native, intelligent platform where AI agents can discover, understand, and ...

Zero Trust Data Engineer JR

Milwaukee, WI · On-site

$112K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Junior Cybersecurity Data Engineer (Zero Trust & Asset Intelligence) Role Overview We are seeking an inquisitive and detail-oriented Junior Cybersecurity Data Engineer to join our global Cyber Asset ...

Senior Data Engineer

Onalaska, WI · On-site

$85K - $120K/yr

  • Medical

  • Retirement

  • PTO

Senior Data Engineer At Dynamic Lifecycle Innovations , we give electronics their next best life while protecting our planet and our customers' interests. As a Certified Great Place to Work ® since ...

Zero Trust Data Engineer JR

Milwaukee, WI · On-site

$114K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Junior Cybersecurity Data Engineer (Zero Trust & Asset Intelligence) Role Overview We are seeking an inquisitive and detail-oriented Junior Cybersecurity Data Engineer to join our global Cyber Asset ...

Senior Data Engineer

Milwaukee, WI · Remote

$104K - $141K/yr

  • Retirement

  • PTO

Define and evolve data integration frameworks, engineering standards, reusable patterns, and governance practices for a modern cloud data platform. * Design scalable Snowflake data architectures ...

Senior Data Engineer

Marshfield, WI · On-site

$106K - $144K/yr

The Opportunity Roehl Transport is seeking a Senior Data Engineer to help design and deliver modern data solutions that support decision-making across the enterprise. As part of a small, highly ...

Google Senior Data Engineer

Milwaukee, WI · On-site

$94K - $266K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You Are A hands-on Engineer with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to apply ...

Senior Data Engineer

Onalaska, WI · On-site

$98K - $133K/yr

Senior Data Engineer At Dynamic Lifecycle Innovations , we give electronics their next best life while protecting our planet and our customers' interests. As a Certified Great Place to Work ® since ...

New

As a Senior Consultant - Associate Data Engineer you will design, build, and optimize modern data solutions for our midmarket and enterprise clients. Working primarily inside the Microsoft stack ...

Senior Data Engineer - IGEN

Appleton, WI · On-site

$103K - $140K/yr

POSITION SUMMARY The Senior Data Engineer is the technical leader for IGEN's Data Foundation - architecting, building, and operating the Snowflake data platform, Azure-native ingestion infrastructure ...

Showing results 41-60

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.

$115K - $138K/yr

Full-time

Posted 17 days ago


Abbott rating

7.8

Company rating: 7.8 out of 10

Based on 138 frontline employees who took The Breakroom Quiz

176th of 540 rated manufacturers


Job description

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.JOB DESCRIPTION:
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, development, and testing of software applications for Exact Sciences, creating expert design concepts and foolproof debugging. This role will be able to resolve most issues and problems effectively with minimal oversight, communicate effectively with business stakeholders and mentor junior team members. This role will routinely make key decisions for the team, be accountable for application quality, and be highly productive.

Working in our Data Engineering teams, you will collect and analyze data to develop robust IT solutions that deliver advanced data analytics capabilities to the organization. You will develop database architectures to address business requirements, ensuring system scalability, security, performance, and reliability. Additionally, you will design and document database applications such as interfaces, data transfer mechanisms, and data partitions to enable efficient access of the generic database structure.

This role is based in Madison, WI.

Essential Duties

Include, but are not limited to, the following:

  • Has complete knowledge, skills, and understanding of practices for complex programs and initiatives demonstrating creativity and substantial understanding of specialized techniques, processes, procedures.

  • Troubleshoot issues and problems of medium complexity for major software applications; break down complex tasks, make reasonable decisions, investigate and fix bugs, and operate independently.

  • Initiate independent designs that impact and influence the department's delivery and approach. Lead reviewing design alternatives, problems, and solutions with an eye on limiting the need for later problem solving.

  • Consistently influence and make significant decisions within a project, demonstrating good judgment in selecting methods and techniques for obtaining solutions based in a solid understanding of business strategy and best practices with minimal instructions for difficult or unpredictable situations.

  • Contribute individual capabilities to the achievement of group objectives, and work effectively with others in a group setting. This includes mentoring, coaching, and technical guidance for junior members of the team.

  • Build successful internal and external partnerships with peers, SMEs, stakeholders, and decision-makers.

  • Communicate clear and concise project plans/designs and status updates for a project.

  • Ability to work nights and/or weekends, as needed.

  • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.

  • Support and comply with the company's Quality Management System policies and procedures.

  • Maintain regular and reliable attendance.

  • Ability to act with an inclusion mindset and model these behaviors for the organization.

Minimum Qualifications

  • Bachelor's Degree in Data Science, Computer Science, Information Systems, Mathematics, or Engineering; or High School Diploma/General Education Degree and 4 years of relevant experience as outlined in the essential duties in lieu of Bachelor's Degree.

  • Complete knowledge and full understanding of software development design and development, and relevant domain specific skills (see below).

  • Spark on Snowflake or Databricks.

  • Python, Scala, SQL development.

  • ETL data pipelines.

  • Designing and implementing data modeling solutions using relational, dimensional, and/or NoSQL databases.

  • Database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools.

  • Big Data file formats (Parquet, Avro, Delta Lake).

  • Cloud Infrastructure services (i.e., AWS, SQS, S3, and GitLab).

  • Agile development tools; including, but not limited to, JIRA, Confluence repository.

  • RestAPI development.

  • Tableau, ideally including performance optimization.

  • Demonstrated ability to perform the essential duties of the position with or without accommodation.

  • Applicants must be currently authorized to work in country where work will be performed on a full or part-time basis. We are unable to sponsor or take over sponsorship of employment visas at this time.

Preferred Qualifications

  • Advanced understanding of Model Context Protocol (MCP), including consuming packaged MCP integrations (e.g., Atlassian), configuring custom MCP servers, and developing MCP and skills integrations to extend AI tooling within data workflows.

  • Familiarity with customer data platform (CDP) concepts, Braze or other patient/provider communications workflows/processes.

The base pay for this position is

$78,000.00 - $156,000.00

In specific locations, the pay range may vary from the range posted.

JOB FAMILY:Product DevelopmentDIVISION:ONCO Cancer DiagnosticsLOCATION:United States > Madison : 1 Exact LaneADDITIONAL LOCATIONS:WORK SHIFT:StandardTRAVEL:NoMEDICAL SURVEILLANCE:Not ApplicableSIGNIFICANT WORK ACTIVITIES:Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

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