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Data Engineering Jobs in Wisconsin (NOW HIRING)

Avecia Pharma

WI · On-site

$90 - $120/hr

This is a hands-on, execution-focused data engineering role , where you will work primarily on SQL transformations, data pipelines, and platform optimisation. You will contribute to building robust ...

Rural Mutual Insurance

Data Engineer

Milwaukee, WI · On-site +1

$112K - $135K/yr

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 ...

Rural Mutual Insurance

Data Engineer

Madison, WI · On-site +1

$115K - $138K/yr

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, scalable data ...

Core BTS

GCP Data Engineer

Appleton, WI · On-site

$75 - $80/hr

Knowledge, Skills, and Abilities Required · 3-5 years of work experience in data engineering · Your data engineering experience should include Google Cloud Platform (GCP) technologies and be ...

Pwc

Data Engineer - Senior Manager

Milwaukee, WI · On-site

$124K - $280K/yr

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 ...

Princeton IT Services

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 ...

Royal Electric

WI · On-site

$93 - $119/hr

This role supports data engineering initiatives for our data across ERP and MRP platforms, project management systems, field mobility tools, scheduling systems, financial systems, and construction ...

Stellix

Senior Data Engineer III

Foxboro, WI · On-site

$130K - $160K/yr

Responsible for scoping, architecting, designing, and developing robust data engineering solutions including data pipelines, data integration, and infrastructure. * Support the data architect in the ...

Princeton IT Services

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 ...

Kiongroup

Senior AI Data Engineer

Wauwatosa, WI · On-site

$121K - $151K/yr

This is a hands-on senior role requiring deep expertise in cloud data engineering, AI-enabled data platforms, agentic AI architectures, semantic modeling, metadata and context engineering, and modern ...

Kiongroup

Senior AI Data Engineer

Wauwatosa, WI

$121K - $151K/yr

This is a hands-on senior role requiring deep expertise in cloud data engineering, AI-enabled data platforms, agentic AI architectures, semantic modeling, metadata and context engineering, and modern ...

Algorhythm

WI · On-site

$80 - $120/hr

Being knowledgeable about new technologies and innovations in the field of Data Engineering, being technologically flexible, and enjoying expanding your knowledge. At togaether, we provide excellent ...

Delta Defense

Data Engineer

West Bend, WI · Hybrid

$115K - $139K/yr

Maintain engineering best practices around CI/CD, unit testing, performance testing and optimization. * Partner directly with the Data Architecture team to ensure the quality and consistency of the ...

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling, and modern cloud data platforms in an environment that values curiosity and continuous learning?

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Showing results 41-60

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.

Data Engineer

Avecia Pharma

WI • On-site

$90 - $120/hr

Other

Posted 5 days ago

Key responsibilities

  • Build, monitor, and optimize data pipelines using Azure Synapse and Data Factory

  • Design and optimize data storage solutions such as Azure Data Lake and Synapse Analytics

  • Develop and maintain scalable SQL transformations

Job description

Our Position

Do you enjoy turning raw data into reliable, well-structured datasets that enable business decisions?

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, execution-focused data engineering role, where you will work primarily on SQL transformations, data pipelines, and platform optimisation. You will contribute to building robust and scalable data solutions that enable analytics and reporting across the organisation.

At the same time, we expect you to maintain a critical and analytical mindset—questioning existing approaches, identifying inefficiencies, and proposing improvements where relevant. Your input will be valued, and you will be encouraged to share well-founded technical perspectives to help improve the platform and ways of working.

This full-time position is based at our office in Genk, Belgium.

Key Responsibilities

  • You build, monitor and optimize data pipelines using Azure Synapse and Data Factory
  • You design and optimize data storage solutions (Azure Data Lake, Synapse Analytics)
  • You develop and maintain scalable SQL transformations
  • You ensure data quality, reliability, and performance across the platform
  • You collaborate with analysts and business teams to deliver reliable and usable datasets
  • You support data governance, security, and compliance requirements

In addition, you:

  • Proactively identify and drive improvement opportunities in data models, pipelines, and platform performance
  • Work closely with the Data Lead and Data Architect to discuss and refine technical decisions
  • Stay informed on evolving technologies (e.g. Microsoft Fabric, Databricks) and assess their relevance pragmatically
Your Profile
  • You bring solid experience in data engineering (typically 5 years), preferably within an Azure-based environment
  • You have completed a master’s degree in Data, IT, or Economics, or you possess an equivalent level of analytical and practical skills based on your experience.
  • You have strong SQL skills and experience with modern data platforms and transformation processes
  • You are familiar with data modelling and schema design principles
  • You are comfortable working with large datasets and building efficient, scalable pipelines
  • Experience with Python is not required but would be beneficial
  • You combine a hands-on, execution-driven mindset with the ability to critically assess technical solutions
  • You proactively challenge existing approaches and clearly communicate ideas for improvement
  • You collaborate effectively with both technical and non-technical stakeholders
  • You communicate fluently in English, knowledge of Dutch is a plus.
  • You are curious about new technologies and continuously look for practical improvements
Interested to Join?

We offer a challenging opportunity in an international atmosphere. The role is part of a stable company where initiative and creative ideas are encouraged.

We provide an attractive salary with an extended package of fringe benefits:

  • Group insurance
  • Company car
  • Flexibility in a hybrid work setting with 2 days per week home office policy
  • iPhone
  • Laptop

To apply for this position, please upload your resume and answer the questions via the "Apply" button.

If we can do something to make the recruitment process or the job more accessible, please let us know! Contact: lore.daelmans@nitto.com.

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