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Data Engineer Jobs in Wisconsin (NOW HIRING)

Tech Consulting

$113K - $136K/yr

Job Title: Entry-level Data Engineer Full-Time Candidate must be open to relocate. We are seeking a motivated Data Scientist with a strong interest in data engineering, machine learning, and ...

New

Vultus Inc

Data Engineer

Seymour, WI

$116K - $140K/yr

Data Engineer Experience 2-5 years Job Type Full-time Job Summary We are looking for a skilled Data Engineer to design, develop, and maintain scalable data pipelines and data processing solutions.

DTN (Data Transmission Network)

WI · On-site

$125 - $150/hr

DTN is seeking a results‑driven Senior Data Engineer to support the ingestion, quality, integrity, reliability, and governance of data across our enterprise platforms. This role plays a critical ...

WizeHire, Inc

Data Engineer

Milwaukee, WI · On-site

$100 - $125/hr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence ...

Axxes IT Consultancy

WI · On-site

$80 - $100/hr

Binnen Axxes zijn we continue op zoek naar gedreven Data Engineers om onze Data League te versterken. Bij Axxes geloven we in de kracht van innovatie en technologie. Als toonaangevend IT ...

SHI International Corp

WI · On-site

$125 - $150/hr

As a Data Engineer, you will work with customers and internal stakeholders to understand their business needs and help them achieve outcomes with your solutions and guidance. You will research all ...

SHI International

WI · On-site

$125 - $150/hr

As a Data Engineer, you will work with customers and internal stakeholders to understand their business needs and help them achieve outcomes with your solutions and guidance. You will research all ...

WizeHire, Inc

Data Engineer

Madison, WI · On-site

$100 - $125/hr

As a Data Engineer , you will be responsible for implementing and optimizing datapipelines, ensuring data quality, and building data models that support analytics and business intelligence ...

Royal Electric

WI · On-site

$100 - $125/hr

ROLE SUMMARY The Data Engineer is a technology professional embedded within the Digital Transformation team, supporting Construction Operations and corporate functions through reliable data ...

AgSource

Data Engineer

Watertown, WI · On-site

$109K - $131K/yr

VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the data solutions that support our global business. Working primarily in Databricks, you'll develop and ...

AgSource

Data Engineer

Watertown, WI · On-site +1

$109K - $131K/yr

VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the data solutions that support our global business. Working primarily in Databricks, you'll develop and ...

Urus

Data Engineer

Watertown, WI · On-site

$109K - $131K/yr

VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the data solutions that support our global business. Working primarily in Databricks, you'll develop and ...

Urus Group LP

Data Engineer

Watertown, WI · On-site +1

$109K - $131K/yr

VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the data solutions that support our global business. Working primarily in Databricks, you'll develop and ...

Farm Systems

Data Engineer

Watertown, WI

$109K - $131K/yr

VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the data solutions that support our global business. Working primarily in Databricks, you'll develop and ...

Jobtailor

WI · On-site

$150 - $200/hr

Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security * Contribute to solution architecture and deliver high-quality modern data solutions that drive ...

Avecia Pharma

WI · On-site

$100 - $125/hr

We are looking for a Data Engineer to support the development and maintenance of our Azure-based data platform, ensuring data is accessible, high-quality, and fit for purpose. This is a hands-on ...

Conch Technologies

Lead Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Lead Data Engineer Location: Madison, WI (Hybrid) Duration: 6+months C2H (Contract to Hire) * Bachelor's Degree in Computer Science, Engineering, Information Systems, or related field. * 8-10+ years ...

Conch Technologies Inc

Lead Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Lead Data Engineer Location: Madison, WI (Hybrid) Duration: 6+months C2H (Contract to Hire) * Bachelor's Degree in Computer Science, Engineering, Information Systems, or related field. * 8-10+ years ...

Delta Defense

Data Engineer

West Bend, WI · Hybrid

$111K - $134K/yr

DATAE002046 Description Our Data Engineers help Delta Defense turn complex data into clear, actionable insights that support smarter business decisions. This hands-on role builds reliable data ...

Delta Defense

Data Engineer

West Bend, WI · Hybrid

$115K - $139K/yr

Our Data Engineers help Delta Defense turn complex data into clear, actionable insights that support smarter business decisions. This hands-on role builds reliable data solutions, supports our ...

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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 Sep 8, 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.
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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $130,930 per year, or $62.9 per hour.

Data Engineer

Tech Consulting

On-site

$113K - $136K/yr

Other

Posted 2 days ago

New

Job description

Job Title: Entry-level Data Engineer

Full-Time

Candidate must be open to relocate.


We are seeking a motivated Data Scientist with a strong interest in data engineering, machine learning, and analytics. The ideal candidate will assist in developing scalable data solutions, building data pipelines, analyzing data, and supporting AI-driven initiatives. This role is ideal for candidates with 1–4 years of experience who are eager to build their careers in data engineering and artificial intelligence.


Key Responsibilities

  • Develop, test, and maintain data engineering and AI solutions using Python.
  • Write, optimize, and maintain SQL queries for data extraction, transformation, and analysis.
  • Design and support end-to-end data pipelines and workflows.
  • Collect, clean, transform, and analyze structured and unstructured data.
  • Collaborate with developers, data engineers, analysts, and business stakeholders to understand requirements.
  • Support the development of machine learning and AI solutions.
  • Automate repetitive data processing tasks using Python.
  • Troubleshoot and resolve data pipeline and database-related issues.
  • Document technical solutions, workflows, and development processes.
  • Stay updated with emerging technologies and industry best practices.


Required Skills

  • 1–4 years of experience in Data Engineering, Data Analytics, Machine Learning, or AI Engineering.
  • Strong proficiency in Python programming.
  • Good understanding of SQL and relational databases.
  • Experience developing end-to-end data solutions.
  • Knowledge of data processing, ETL concepts, and data transformation techniques.
  • Strong analytical and problem-solving skills.
  • Good communication and teamwork abilities.


Preferred Skills

  • Experience with one or more cloud platforms such as AWS, Azure, or Databricks.
  • Knowledge of PySpark, AWS S3, Lambda, EC2, Airflow, or GCP.
  • Familiarity with Machine Learning, Generative AI, or Computer Vision.
  • Understanding of probability and statistical concepts.
  • Experience with GitLab or other version control systems.
  • Knowledge of R Programming is a plus.


Qualifications

  • Bachelor's Degree in Computer Science, Information Systems, Mathematics, or a related quantitative field.
  • A relevant Master's degree is a plus.
  • Strong written and verbal English communication skills.
  • Must be willing to relocate anywhere within the United States for onsite client projects.


Thank you

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