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Data Engineering Jobs in Wisconsin (NOW HIRING)

Data Engineer II

Green Bay, WI · On-site

$111.40K - $133.80K/yr

... 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 ...

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 ...

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 ...

Sr. Fabric Data Engineer

Madison, WI

$106.80K - $145.10K/yr

Design scalable data models, integration patterns, and storage strategies to support insurance ... Partner with cloud engineering and security teams to optimize Fabric deployments integrated with ...

Collaborate with clients and internal stakeholders to design and implement scalable data engineering solutions using the Microsoft Analytics ecosystem. * Develop and maintain data pipelines, ensuring ...

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Data Solution Architect

Madison, WI · On-site

$123.84K - $234.77K/yr

Collaborate with clients and internal stakeholders to design and implement scalable data engineering solutions using the Microsoft Analytics ecosystem. * Develop and maintain data pipelines, ensuring ...

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Staff Data Architect (Remote)

Menomonee Falls, WI · On-site +1

$64 - $82.25/hr

Influence and guide source data design by partnering with product and engineering teams to ensure data quality, ownership, and governance are embedded at the point of origination, before data ...

$120.40K - $144.60K/yr

Du bringst dich aktiv beim Aufbau und der Weiterentwicklung von CI/CD-Prozessen im Data Engineering ein und treibst die Integration moderner Entwicklungsprozesse (Testing, Git, Deployment) * Du nutzt ...

AWS Data Architect

Neenah, WI · On-site

$65.50 - $85.75/hr

Collaborate with data engineers, analysts, and business stakeholders to translate business needs into scalable data solutions. * Establish data governance, security, and compliance frameworks ...

Life Science Data Engineer

Madison, WI · On-site

$115.50K - $138.60K/yr

D. in Data Engineering, Computational Biology, Data Science, or a related field with relevant experience; or M.S. with equivalent professional experience • Strong Structured Query Language (SQL ...

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Cloud Data Engineer (Onsite)

Monroe, WI

$52.50 - $70.25/hr

This role is critical in transforming traditional data ecosystems--including COBOL and JCL-based pipelines--into modern, cloud-native architectures while incorporating AI-driven engineering practices ...

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Showing results 1-20

Data Engineering information

See Wisconsin salary details

$46.4K

$166.6K

$245.8K

How much do data engineering jobs pay per year?

As of May 29, 2026, the average yearly pay for data engineering in Wisconsin is $166,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,700.00 and $171,600.00 per year, depending on experience, location, and employer.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.
What are the most commonly searched types of Data Engineering jobs in Wisconsin? The most popular types of Data Engineering jobs in Wisconsin are:
What are popular job titles related to Data Engineering jobs in Wisconsin? For Data Engineering jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Data Engineering jobs? Cities in Wisconsin with the most Data Engineering job openings:
Infographic showing various Data Engineering job openings in Wisconsin as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $166,561 per year, or $80.1 per hour.
Curriculum Manager - Data Science and AI

Curriculum Manager - Data Science and AI

DataCamp

Belgium, WI • On-site, Remote

Other

Medical, Dental, Vision

Posted 22 days ago


Job description

About DataCamp

Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors.

In this role, you'll collaborate with instructors and teams across curriculum, engineering, product, and marketing to expand and improve our Data Science and Data Engineering curriculum-helping millions worldwide upskill in data and AI.

About the role

This is an individual contributor role. You will collaborate with subject matter experts and leverage in-house-built cutting-edge AI tooling to scale high-quality course creation. Here's what your day-to-day will look like: 

  • Manage the entire content development lifecycle and deadlines.
  • Source and recruit top-tier subject-matter experts as instructors. 
  • Collaborate with instructors to create engaging content. 
  • Consistently leverage a variety of off-the-shelf and in-house AI systems to drive high-quality content production. 
  • Design, review, and create content on data science and data engineering. You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective.
  • Continuously assess course performance using learner feedback and engagement data to drive improvements.
  • Identify and prioritize existing curriculum gaps or new topics in data science and data engineering.

Qualifications:

  • A solid technical background in Python and SQL. A technical background in data engineering is a plus. 
  • Strong expertise in instructional design, with proven experience designing, structuring, and teaching technical courses, and creating interactive, hands-on learning experiences.
  • Graduate degree (Master's or PhD) in Computer Science, AI, Data Science, or a related STEM field, or equivalent industry experience with hands-on expertise in data science, machine learning, or software development.
  • Strong experience with agentic AI systems such as Claude Code, Cursor, Replit. You can demonstrate you've increased your output 10x with AI.

Bonus if you have the following

  • A deep understanding of the DataCamp course format-you have an intuitive understanding of what makes a great DataCamp course.
  • An existing network of potential subject matter experts who can become DataCamp instructors.
  • An extensive track record of building sophisticated AI systems and workflows.

Why Datacamp? 

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team:

  • Exciting Challenges - Tackle some of the most important educational challenges in Data & AI.
  • Work with the Best Instructors - Partner with top-tier instructors from leading organizations like Microsoft, Hugging Face, AWS, and more.
  • Competitive Compensation - We offer a competitive salary with attractive benefits.
  • Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.
  • Professional Growth - Access to a yearly learning & development budget.
  • Global Culture - Join a team that values international collaboration.
  • Annual Retreats - Participate in international company retreats, fostering a global team spirit.
  • Tools & Setup - Receive an annual IT equipment budget to refresh your workspace.

Our competitive compensation package offers additional benefits. On top of your salary you will also receive extra legal benefits such as best-in-class medical insurance including dental and vision. Depending on your location additional benefits might be available to you.