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Data Engineering Jobs in Wisconsin (NOW HIRING)

Senior Data Engineer

Pleasant Prairie, WI · On-site

$100K - $137K/yr

Build complex data engineering processes to support business analytics and reporting. * Perform unit, performance and regression testing on ETL mappings. * Follow coding standards, review code and ...

Data Engineer I

Green Bay, WI · On-site

$111K - $133K/yr

... data engineering practices MINIMUM KNOWLEDGE, EXPERIENCE & SKILLS REQUIREMENTS: • Bachelor's degree in computer science, data engineering, information systems, or related field or equivalent ...

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience) * Experience with SQL and relational databases * Familiarity with at least ...

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

AWS Data Architect

Neenah, WI · On-site

$64.50 - $82.75/hr

Collaborate with data engineers, analysts, and business teams to translate business requirements into scalable technical solutions. * Establish and maintain data governance, security, and compliance ...

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 ...

Lakeside Drive, Waukegan, IL 60085 Fuel the future of data engineering and analytics for our growing North American company! As a Senior Data Engineer at Uline, you'll play a pivotal role in ...

Senior Data Engineer

Kenosha, WI · On-site

$96K - $148K/yr

Lakeside Drive, Waukegan, IL 60085 Fuel the future of data engineering and analytics for our growing North American company! As a Senior Data Engineer at Uline, you'll play a pivotal role in ...

$122K - $146K/yr

We need Data engineering, Scala, Snowflake and Data modeling for this role. Need only resources who can do Scala Coding. * -6041047MsoListParagraph">8 to 10 years' experience in data analysis, data ...

AWS Data Architect

Neenah, WI · On-site

$64.50 - $82.75/hr

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

Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

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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 Jul 4, 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.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure 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 optimized for analysis by data scientists and analysts.

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 engineers make 500,000?

Senior data engineers with extensive experience, specialized skills in cloud platforms, and advanced knowledge of data architecture can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

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.

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 require skills in SQL, cloud platforms, and data pipeline tools like Apache Spark or Kafka, making their expertise valuable across many industries. The role is expected to remain strong as organizations continue to prioritize data infrastructure and analytics capabilities.

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 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 June 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $166,561 per year, or $80.1 per hour.

Senior Data Engineer

Aristek Consulting

Pleasant Prairie, WI • On-site

$100K - $137K/yr

Other

Medical, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Senior Data Engineer

Fuel the future of data engineering and analytics for our growing North American company! As a Senior Data Engineer, you’ll play a pivotal role in constructing and maintaining our new, cutting-edge data collection systems and analytics platform.

Position Responsibilities

  • Partner with business users to design and build BI and data warehouse solutions.

  • Engage with project leads, analysts and business users to implement and test data warehouse applications.

  • Build complex data engineering processes to support business analytics and reporting.

  • Perform unit, performance and regression testing on ETL mappings.

  • Follow coding standards, review code and enhance quality practices.

  • Oversee production deployments and coordinate with other teams to execute.

Minimum Requirements

  • Bachelor''s degree in information technology or related field.

  • 8+ years in data engineering.

  • 5+ years of hands-on experience developing ETL using Informatica PowerCenter.

  • Proven experience writing complex T-SQL and DB performance tuning.

  • Strong troubleshooting skills to resolve data issues.

  • Knowledge of SSIS, Python, Azure, Snowflake or Databricks is a plus.

Benefits

  • Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

  • Multiple bonus programs.

  • Paid holidays and generous paid time off.

  • Tuition Assistance Program that covers professional continuing education.

Employee Perks

  • Café featuring affordable daily meal options from local restaurants.

  • On-site fitness center and beautifully maintained walking paths.

  • Best-in-class, clean, modern facilities.