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Data Engineering Jobs in Madison, WI (NOW HIRING)

Elephas

Senior Data Scientist

Madison, WI · On-site

The Senior Data Scientist will support clinical correlation data modeling, which includes working with data engineers to assess data quality of incoming assay and clinical data, developing bootstraps ...

Elephas

Senior Data Scientist

Madison, WI

The Senior Data Scientist will support clinical correlation data modeling, which includes working with data engineers to assess data quality of incoming assay and clinical data, developing bootstraps ...

Springs Window Fashions

Senior AI Engineer

Middleton, WI · On-site

$107K - $147K/yr

Collaborate with data engineering teams to ensure high-quality, governed, and accessible data for AI initiatives. * Develop AI-enabled analytics and predictive models supporting manufacturing, supply ...

Springs Window Fashions

Senior AI Engineer

Middleton, WI · On-site

$107K - $147K/yr

Collaborate with data engineering teams to ensure high-quality, governed, and accessible data for AI initiatives. * Develop AI-enabled analytics and predictive models supporting manufacturing, supply ...

Springs Window Fashions

Senior AI Engineer

Middleton, WI

$107K - $147K/yr

Collaborate with data engineering teams to ensure high-quality, governed, and accessible data for AI initiatives. * Develop AI-enabled analytics and predictive models supporting manufacturing, supply ...

AgSource

Senior AI/ML Engineer

Watertown, WI · On-site +1

$99K - $136K/yr

Feature-engineering and data preprocessing for both structured farm data and unstructured sources. * Model selection and evaluation, knowing when linear regression, optimization, or a lookup table ...

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All JobsData Engineering JobsData Engineering Jobs in Madison, WI

Data Engineering information

See Madison, WI salary details

$46.4K

$166.3K

$245.4K

How much do data engineering jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data engineering in Madison, WI is $166,302.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $171,300.00 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 Madison, WI?

The most popular types of Data Engineering jobs in Madison, WI are:

What job categories do people searching Data Engineering jobs in Madison, WI look for?

The top searched job categories for Data Engineering jobs in Madison, WI are:

What cities near Madison, WI are hiring for Data Engineering jobs?

Cities near Madison, WI with the most Data Engineering job openings:

Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Madison, WI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $166,302 per year, or $80 per hour.

Director of Data & AI Enablement

Mead & Hunt

Madison, WI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Mead & Hunt rating

7.6

Company rating: 7.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

286th of 449 rated engineering

Job description

We are excited to announce that we will be undergoing a selection process for the Director of Data & AI Enablement. This role is critical to advancing enterprise data capabilities, strengthening decision-making through trusted analytics, and leading the organization's responsible adoption of modern AI technologies.
At Mead & Hunt, we take pride in being a nationally recognized, employee-owned consulting firm where leaders have a direct impact on the success of our people, clients, and communities. We foster a collaborative, values-driven culture that emphasizes trust, innovation, and long-term relationships.
As the Director of Data & AI Enablement, you will play a key role in shaping the organization's data and analytics strategy, modernizing enterprise reporting, and enabling AI-driven insights that improve business performance. You will partner closely with Finance, IT, and Operations to deliver integrated data solutions that drive measurable outcomes and operational excellence.
You will lead the enterprise vision for Generative AI, Microsoft Copilot, and large language model (LLM)-enabled capabilities, ensuring innovation is balanced with strong data governance and ERP data integrity.
Responsibilities include:
  • Leads the enterprise data, analytics, and AI/Generative AI strategy, aligning capabilities to business priorities and measurable outcomes
  • Defines and executes enterprise AI enablement strategy, including use of Microsoft Copilot, LLMs, and automation to improve business performance
  • Owns enterprise reporting and analytics across ERP (Dynamics 365/aec360) and broader operational systems
  • Establishes and maintains scalable Power BI reporting and KPI frameworks to ensure consistent, trusted insights
  • Defines and matures a modern enterprise data platform (Microsoft Fabric/Azure) integrating ERP, operational, and system data
  • Establishes and enforces enterprise data governance, data quality, and stewardship practices across business and IT
  • Ensures AI solutions are built on trusted, governed ERP and enterprise data sources to protect data integrity
  • Enables AI and advanced analytics use cases, including predictive insights, AI-driven automation, and operational improvements
  • Drives adoption of Power Platform tools (Power Apps, Power Automate) for business and system workflow automation
  • Develops and leads cross-functional teams spanning data engineering, analytics, and enterprise applications
  • Partners with Finance, IT, and Operations leadership to prioritize and deliver high-value data initiatives
  • Establishes intake, prioritization, and delivery processes for data, reporting, and AI work
  • Monitors adoption, performance, and value delivery of enterprise data and analytics solutions
  • Other duties as assigned

This position may require travel, overnight stays, and occasional evening or weekend work as assigned.
Successful candidates will have all of the following:
  • Bachelor's degree in business, Computer Science, Information Systems, or a related field and ten (10+) years of progressive experience in Information Technology, including leadership roles
  • Proven experience leading enterprise data, analytics, and AI/digital transformation initiatives
  • Strong expertise in Power BI and enterprise reporting frameworks
  • Experience implementing data governance and data quality programs
  • Demonstrated ability to lead cross-functional initiatives across Finance, IT, and Operations
  • Hands-on experience building or leading modern data platforms (Microsoft Fabric, Azure, or similar)
  • Experience defining and executing enterprise AI strategy, including Generative AI, Copilot, or LLM-based solutions

Ideal candidates will have any/all of the following:
  • Background in AEC or project-based professional services environments with utilization, project profitability, and ERP-driven operations
  • Experience building or leading modern data platforms (Microsoft Fabric, Azure, or similar)
  • Background in professional services including engineering
  • Experience integrating multiple enterprise systems (ERP, operational, and system data)
  • Experience developing AI strategies or leading AI enablement initiatives
  • Experience leading ERP reporting modernization or transformation efforts

If you have strong communication and organizational skills, are self-motivated, and can work well both independently and as part of a team, complete the online application process for this job posting at www.meadhunt.com/careers.
Mead & Hunt proudly offers medical, dental, and vision insurance, paid time off, paid sick leave, parental leave, a 401K plan with a generous company match, life and disability insurance, and an employee assistance program.
Employment is contingent upon successful completion of applicable pre-employment screening requirements.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
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