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Data Engineer Jobs in Madison, WI (NOW HIRING)

They are seeking a visionary Manager of Data Engineering to lead the strategy and execution of their data ecosystem, transitioning from legacy platforms to cloud-native solutions. Responsibilities ...

We're searching for a visionary Manager of Data Engineering who can blend strong people leadership with handson technical depth-someone fluent in both legacy data platforms and the modern cloud ...

Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to ...

Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to ...

Data Analyst

Madison, WI · Remote

$115K/yr

This position requires deep expertise in Power BI, data modeling, and stakeholder engagement, along with the ability to contribute to broader data architecture and engineering initiatives. * This is ...

Data Analyst

Madison, WI · Remote

$115K/yr

This position requires deep expertise in Power BI, data modeling, and stakeholder engagement, along with the ability to contribute to broader data architecture and engineering initiatives. * This is ...

The Data and Analytics Team within the Information Technology department provides enterprise data engineering, analytics, reporting, visualization, and predictive analytics solutions. The team ...

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 ...

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 ...

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 ...

Pandata Group is a cloud-first data analytics services firm that builds data-driven communities ... Exposure to developer tools/ workflow (e.g. git/github, SSH) * Knowing how to get around a command ...

Senior Engineer

Madison, WI · On-site

$111K - $167K/yr

Ensure data ingestion processes into data warehousing solutions like Snowflake are accurate ... Mentor junior engineers in best practices for data pipeline development. Data Models * Lead the ...

Senior Engineer

Madison, WI · On-site

$111K - $167K/yr

Ensure data ingestion processes into data warehousing solutions like Snowflake are accurate ... Mentor junior engineers in best practices for data pipeline development. Data Models * Lead the ...

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Data Engineer information

See Madison, WI salary details

$44.8K

$130.7K

$178.9K

How much do data engineer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for data engineer in Madison, WI is $130,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,400.00 and $138,500.00 per year, depending on experience, location, and employer.

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.

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.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

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.

What are Data Engineers?

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.

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 does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations 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 ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
What are the most commonly searched types of Data Engineer jobs in Madison, WI? The most popular types of Data Engineer jobs in Madison, WI are:
What are popular job titles related to Data Engineer jobs in Madison, WI? For Data Engineer jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Madison, WI look for? The top searched job categories for Data Engineer jobs in Madison, WI are:
What cities near Madison, WI are hiring for Data Engineer jobs? Cities near Madison, WI with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Madison, WI as of June 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $130,706 per year, or $62.8 per hour.
Manager Data Engineering

Manager Data Engineering

Alliant Energy

Madison, WI • On-site

Full-time

Posted 23 days ago


Alliant Energy rating

8.4

Company rating: 8.4 out of 10

Based on 23 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
Alliant Energy is a company focused on serving customers and building stronger communities. They are seeking a visionary Manager of Data Engineering to lead the strategy and execution of their data ecosystem, transitioning from legacy platforms to cloud-native solutions.
Responsibilities:
• Performs all leadership duties including, but not limited to, hiring and rewarding talent, fostering an inclusive and safe workplace, partnering with employees to set clear goals and expectations, providing timely and specific feedback on performance, developing improvement plans to address performance gaps, addressing conflict with care and respect, identifying opportunities for growth and development, embracing and modeling a mindset of lifelong learning, ensuring employees report to work fit for duty, adhering to our Code of Conduct and modeling Alliant Energy’s Core Values at all times.
• Manages the lifecycle of product or service including maintenance, patching, and new version introductions.
• Leads and participates in technology planning processes to align on priorities across IT services.
• Focuses on outcomes and objectives and key results (OKRs) to deliver cost-effective, customer-driven technology solutions by developing long-term strategic relationships with customer and industry leaders.
• Responsible to business leaders for development of solutions, scope development, prioritization, and delivery of systems and functions.
• Jointly develops plans and solutions in a timely and cost-effective manner and is responsible for ensuring the most effective utilization of product group resources.
• Provides leadership and direction for the communication and implementation of new practices to increase organizational performance and success within IT.
• Provides direction to teams and ensures solutions and development options meet customer needs, are appropriately prioritized, and are delivered in a timely and cost-effective manner.
• Leverages Sourcing department and manages vendor relationships and agreements to ensure quality services are provided in a cost-effective manner and agreed-upon service levels and contract terms are met.
• Engages in other duties as needed that support Alliant Energy’s Values and helps deliver on our Purpose to serve customers and build stronger communities.
Qualifications:
Required:
• Bachelor's Degree Information Technology, Business Administration, or related field
• 8 years of professional experience.
• 3 years of supervisory experience or equivalent.
• Experience in managing and executing solutions to diverse and complex business problems that enable business strategies.
• Demonstrated effective leadership skills, with the ability to manage projects and employees at multiple locations.
• Demonstrated ability to establish relationships with others and use those relationships to successfully execute projects that align with business strategy and fit within the organization.
• Demonstrated knowledge of information technologies and methodologies including knowledge of technology application platforms and infrastructure, and current technology solutions and application to business operations.
• Demonstrated ability to develop short- and long-term strategic plans and translate those plans into action.
• Demonstrated financial skills such as budgeting and basic accounting.
• Demonstrated ability to use computer software programs (e.g., e-mail, word processing, spreadsheet, and project management).
• Demonstrated effective interpersonal, verbal, and written communication skills.
• Ability to work effectively in a collaborative and inclusive work environment.
Preferred:
• Master's Degree
• Agile methodology experience.
Company:
Alliant Energy operates as a regulated investor-owned public utility holding company. Founded in 1917, the company is headquartered in Madison, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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