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Data Engineering Jobs in Wisconsin (NOW HIRING)

Quad

Director, Analytics, Data Engineering

Sussex, WI

$122K - $170K/yr

The Director, Data Engineering - Architect is responsible for defining and governing the enterprise data architecture strategy that powers the Quad/Rise Data Stack. This role provides architectural ...

Alliantenergy

Manager Data Engineering

Madison, WI · On-site

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 ...

Alliant Energy

Manager Data Engineering

Madison, WI · On-site

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

Serve Robotics

$211K - $246K/yr

Define the data engineering and analytics roadmap, aligned with company goals. This includes prioritizing data platform investments, reporting needs, analytics capabilities, and cross-functional data ...

Quad

Director, Analytics, Data Engineering

Sussex, WI · On-site

$122K - $170K/yr

The Director, Data Engineering - Architect is responsible for defining and governing the enterprise data architecture strategy that powers the Quad/Rise Data Stack. This role provides architectural ...

CTech Manufacturing

Data Engineer

Schofield, WI · On-site

$114K - $137K/yr

Associate's degree or higher in Computer Science, Data Science, Information Systems, or a related field 0-3 years of professional experience in data engineering, business intelligence, analytics, or ...

Vertex Group

Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Senior, handson data engineering contractor to support Modern data platform delivery across Health Payer Domains. This role requires independent ownership of endtoend data pipelines using modern ...

Delta Dental Of Wisconsin

Data Engineer

Stevens Point, WI · On-site

$111K - $133K/yr

Write clean, efficient, and well-documented code following engineering best practices and standards * Implement data quality checks, validation rules, and monitoring to ensure data accuracy and ...

Baker Tilly

Associate Data Engineer

Milwaukee, WI · On-site

$85K - $162K/yr

Data Engineering: Develop scalable, well‑documented ETL/ELT pipelines using T‑SQL, Python, Azure Data Factory/Fabric Data Pipelines, and Databricks; implement best‑practice patterns for ...

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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 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 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 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.
Data Engineering Manager

Data Engineering Manager

Faith Technologies Incorporated (FTI)

Menasha, WI • On-site

Full-time

Posted 9 days ago

Faith Technologies rating

8.4

Company rating: 8.4 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

50th of 357 rated engineering

Job description

You've discovered something special. A company that cares. Cares about leading the way in construction, engineering, manufacturing and renewable energy. Cares about redefining how energy is designed, applied and consumed. Cares about thoughtfully growing to meet market demands. And - as "one of the Healthiest 100 Workplaces in America" - is focused on the mind/body/soul of team members through our Culture of Care
The Data Engineering Manager delivers a range of modern technology solutions while implementing best practices for key stakeholders across Faith Technologies Incorporated (FTI). This role is instrumental in shaping our data strategy, driving impactful data-driven decisions, and ensuring the successful execution of complex infrastructure and pipeline projects. You will lead and mentor a talented team of engineers while remaining a hands-on contributor, diving into data pipelines to provide technical guidance and insights as needed. Additionally, the Data Engineering Manager collaborates with cross-functional teams to ensure data availability, reliability, and performance for analytics, reporting, and data science purposes. This role leads and contributes to large-scale project data efforts, providing critical support to business partners, project managers, and vendor resources involved in project execution.
The ideal candidate would have proficiency in programming languages such as Python, PowerShell, R, or Scala, along with strong experience in SQL and relational databases like MS-SQL. It also involves proficiency in data visualization tools such as Power BI or Tableau, as well as experience working with cloud-based platforms like Azure, GCP, or Databricks and big data technologies including Hadoop, Spark, and Kafka. Additionally, familiarity with NoSQL databases such as MongoDB or CosmosDB is expected.
MINIMUM REQUIREMENTS
Education: Bachelor's Degree in Computer Science, Data Engineering, Statistics, or a related quantitative field. Master's degree is a plus.
Experience: 5+ years of direct work experience in data engineering, software development, or a related role. Minimum of 2+ years of experience leading and managing a team of technology professionals.
Travel: 0-10%.
Work Schedule: Typical work hours are between 7:00 a.m. and 5:00 p.m. Monday - Friday. Ability to work a flexible schedule is necessary.
KEY RESPONSIBILITIES
  • Management: Lead, mentor, and develop a high-performing team of Data Engineers.
  • Technical Guidance: Provide expert guidance on analytical techniques, ETL/ELT patterns, project planning, and complex problem-solving.
  • Performance Management: Conduct regular one-on-one meetings and performance reviews to ensure team alignment and growth.
  • Development: Identify and recommend professional development opportunities to keep the team current with cutting-edge technologies.
  • Strategic Delivery: Lead the planning, execution, and delivery of data infrastructure projects that align with FTI's business objectives.
  • Stakeholder Partnership: Partner with leadership across departments (e.g., Engineering, Manufacturing, Operations) to translate their needs into technical roadmaps.
  • Project Oversight: Define project scope, timelines, and key performance indicators (KPIs) while leading development efforts on medium to large projects.
  • Communication: Present data insights, architectural recommendations, and project status to leadership in a clear and compelling manner.
  • Pipeline Development: Design, develop, and maintain secure data pipelines to transfer data from various sources to a data mart or lakehouse.
  • Integration: Develop integrations with specific SaaS applications such as Acumatica, Workday, Salesforce, and ServiceNow.
  • Data Quality: Implement and monitor data quality checks to identify and rectify inconsistencies, ensuring accuracy and validity.
  • Database Administration: Administer and optimize databases to ensure maximum availability, performance, and security.
  • Troubleshooting: Diagnose and resolve data-related issues promptly to minimize system downtime.
  • Performs other related duties as required and assigned.

Work Location:
This role follows a hybrid work model, offering a blend of onsite and remote flexibility. Team members are required to spend part of their week onsite at our Menasha, WI office to support teamwork, learning, and in-person connection, while enjoying the autonomy and focus that remote work provides. Specific onsite expectations may vary based on team needs, project priorities, and individual development.
We strive to provide a balanced, flexible environment that supports both productivity and engagement.
The job description and responsibilities described are intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills, and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate.
#LI-Onsite
How Does FTI Give YOU the Chance to Thrive?
If you're energized by new challenges, FTI provides you with many opportunities. Joining FTI opens doors to redefine what's possible for your future.
Once you're a team member, you're supported and provided with the knowledge and resources to achieve your career goals with FTI. You're officially in the driver's seat of your career, and FTI's career development and continued education programs give you opportunities to position yourself for success.
FTI is a "merit to the core" organization. We recognize and reward top performers, offering competitive, merit-based compensation, career path development and a flexible and robust benefits package.
Benefits are the Game-Changer
We provide industry-leading benefits as an investment in the lives of team members and their families. You're invited to review the full list of FTI benefits available to regular/full-time team members. Start here. Grow here. Succeed here. If you're ready to learn more about your career with FTI, apply today!
Faith Technologies, Inc. is an Equal Opportunity Employer - veterans/disabled.

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