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Data Engineering Jobs in Wisconsin (NOW HIRING)

Continuus Technologies LLC

Staff Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

This role sets data engineering standards, drives architectural decisions, and mentors engineers while partnering closely with analytics, product, and business leaders to enable reliable, high-impact ...

WizeHire, Inc

Data Engineer

Madison, WI · On-site

$90 - $140/hr

The ideal candidate will have a deep understanding of data engineering and data modeling principles, with a proven track record of designing, implementing, and maintaining robust and scalable ...

WizeHire, Inc

Data Engineer

Milwaukee, WI · On-site

$90 - $120/hr

The ideal candidate will have a deep understanding of data engineering and data modeling principles, with a proven track record of designing, implementing, and maintaining robust and scalable data ...

SHI International

WI · On-site

$120 - $160/hr

You will help to establish a new data engineering practice and be a technical leader within the Product organization. Role Description * Design, develop, and implement scalable data pipelines and ...

SHI International Corp

WI · On-site

$120 - $160/hr

You will help to establish a new data engineering practice and be a technical leader within the Product organization. Role Description * Design, develop, and implement scalable data pipelines and ...

Axxes IT Consultancy

WI · On-site

$80 - $100/hr

Met meer dan 400 gepassioneerde IT-professionals binnen Software Engineering, Data, Infrastructure, QA, PM/PO, Analyse... maken we elke dag het verschil bij onze klanten. We focussen zowel op project ...

Genesis10

Entry Level Data Engineer

Milwaukee, WI · On-site

$60K/yr

Passion for learning and interest in Data Engineering * Strong logic and reasoning skills * Clear communication and collaboration abilities * Team-oriented mindset What We Offer * Paid training (3-4 ...

Jobtailor

WI · On-site

$120 - $180/hr

Bachelor's degree in computer science or related field * 6+ years of experience in data engineering, data platform development, or cloud data solutions * 3+ years of hands-on experience with Azure ...

AgSource

Data Engineer

Watertown, WI · On-site

$109K - $131K/yr

We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience, and a solid understanding of data warehousing and Microsoft-based data environments.

Urus

Data Engineer

Watertown, WI

$109K - $131K/yr

We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience, and a solid understanding of data warehousing and Microsoft-based data environments.

AgSource

Data Engineer

Watertown, WI · On-site +1

$109K - $131K/yr

We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience, and a solid understanding of data warehousing and Microsoft-based data environments.

Farm Systems

Data Engineer

Watertown, WI · On-site

$109K - $131K/yr

We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience, and a solid understanding of data warehousing and Microsoft-based data environments.

Urus Group LP

Data Engineer

Watertown, WI · On-site +1

$109K - $131K/yr

We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience, and a solid understanding of data warehousing and Microsoft-based data environments.

Continuus Technologies LLC

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

... Data Engineering, Information Systems, or related field (or equivalent experience)Experience with SQL and relational databasesFamiliarity with at least one programming language (Python preferred ...

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Showing results 21-40

All JobsData Engineering JobsData Engineering Jobs in Wisconsin

Data Engineering information

See Wisconsin salary details

$46.4K

$166.6K

$245.8K

How much do data engineering jobs pay per year?

As of Sep 7, 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 data engineering?

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 does a data engineer do?

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 skills and qualifications are needed to thrive as a data engineer?

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.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

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

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

What cities in Wisconsin are hiring for Data Engineering jobs?

Cities in Wisconsin with the most Data Engineering job openings:

Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $166,561 per year, or $80.1 per hour.

IT Manager - Data Platform & Engineering

Michels Corporation

Brownsville, WI • On-site

Full-time

Medical, Dental, Life, Retirement

Re-posted 27 days ago

Key responsibilities

  • Lead the development and buildout of the enterprise data platform, including ingestion, storage, transformation, and orchestration layers.

  • Partner with business and IT stakeholders to understand their needs and prioritize engineering tasks accordingly.

  • Work hands-on with the team to design, build, and optimize data pipelines and transformation logic for key data products.

Job description

Improving America's infrastructure isn't for the weak. It takes grit, determination, and hard work to execute high impact projects. Michels Corporation engages 10,000 people and 18,000 pieces of heavy equipment in our insatiable drive to be the best. Our work improves lives. Find out how a career as an IT Manager of Data Platform & Engineering can change yours.
The IT Manager of Data Platform & Engineering leads the development and evolution of Michels' enterprise data platform. As a founding leader on the Enterprise Intelligence team, they build and lead the data engineering function, establish engineering best practices, and deliver trusted, governed data products. This role partners across business and IT teams to enable analytics, reporting, operational insights, and AI while creating a scalable data foundation for the future.
Why Michels?
  • We are consistently ranked among the top 10% of Engineering News-Record's Top 400 Contractors
  • Our steady, strategic growth revolves around a commitment to quality
  • We are family owned and operated
  • We invest an average of $5,000 per employee on training each year
  • We reward hard work and dedication with limitless opportunities
  • We believe it is everyone's responsibility to promote safety, regardless of job titles.
  • We offer a comprehensive benefits program including (depending on your positions and location you may participate in a different benefit plan):
    • Health, Dental, Life, Flexible Spending Accounts, Health Savings Account, Short Term and Long-Term Disability Insurance, 401(k) plan, Legal Plan, and Identity Theft and Monitoring Plan

Why you?
  • You thrive in fast-paced environments under tight deadlines
  • You enjoy collaborating and communicating with your teammates
  • You like to know your efforts are noticed and appreciated
  • You have strong time management, verbal, and written communication skills

Key Responsibilities:
  • Recruit, hire, and develop the founding data engineering team, establishing the roles, standards, and operating practices needed to scale responsibly.
  • Lead the buildout of the enterprise data platform on the selected technology stack, implementing the ingestion, storage, transformation, and orchestration layers that convert raw source data into trusted, reusable assets.
  • Partner with business and technology stakeholders to understand their needs and sequence the engineering backlog, making deliberate tradeoffs across value, speed, cost, risk, and maintainability.
  • Stay hands-on as a technical leader, working alongside the team to design, build, and optimize the pipelines and transformation logic behind priority data products.
  • Collaborate with data architecture and data governance peers to ensure platform decisions are durable, interoperable, and ready to support future analytics and AI use cases.
  • Establish the foundational engineering disciplines that enable a lean team to reliably operate and support what it builds, using AI and automation to extend capacity.

Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related quantitative or technical field, or equivalent hands-on experience.
  • 8+ years in data engineering, data platform engineering, or software engineering, including 4+ years leading technical teams with accountability for hiring, coaching, and delivery.
  • Proven experience building and operating large-scale, complex cloud data platforms (e.g., Databricks, Snowflake, Microsoft Fabric, BigQuery) and delivering governed, reusable data products serving whole organizations across departments and technical personas.
  • Deep hands-on proficiency with SQL, Python, and modern data engineering practices including orchestration, transformation, automated testing, CI/CD and both batch and streaming ingestion.
  • Experience building reliable, observable pipelines with monitoring, lineage, and data quality controls that operate within enterprise governance, privacy, and security requirements.
  • Track record of building AI-ready data platforms that are well-documented, well-structured, and trustworthy enough to serve both analytics and AI/GenAI use cases.

AA/EOE/M/W/Vet/Disability
https://www.michels.us/website-user-privacy-policy/

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