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Data Engineer Jobs in Wisconsin (NOW HIRING)

Senior Data Engineer

Milwaukee, WI · Hybrid

$104K - $141K/yr

As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

The Senior Data Engineer is responsible for software development and data engineering projects. Identifies and executes tasks in the software development life cycle, reviews and debugs codes. They ...

Cloud Data Engineer (Onsite)

Monroe, WI · On-site

$52.50 - $70.25/hr

As a Cloud Data Engineer, you will provide technical leadership in data and software development, defining and implementing modern, flexible architectures that bridge legacy systems and next ...

Staff Data Engineer - Science

Madison, WI

$115K - $138K/yr

As a Staff Data Engineer, this extremely seasoned professional will demonstrate competence and creativity in a wide range of technical areas. This role will have a lead role in the design ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

$120K - $144K/yr

Du bringst dich aktiv beim Aufbau und der Weiterentwicklung von CI/CD-Prozessen im Data Engineering ein und treibst die Integration moderner Entwicklungsprozesse (Testing, Git, Deployment) * Du nutzt ...

As a Senior Consultant - Associate Data Engineer you will design, build, and optimize modern data solutions for our midmarket and enterprise clients. Working primarily inside the Microsoft stack ...

Senior Data Engineer - IGEN

Appleton, WI · On-site

$103K - $140K/yr

POSITION SUMMARY The Senior Data Engineer is the technical leader for IGEN's Data Foundation - architecting, building, and operating the Snowflake data platform, Azure-native ingestion infrastructure ...

Associate Data Engineer

Milwaukee, WI · On-site

$85K - $162K/yr

As a Senior Consultant - Associate Data Engineer you will design, build, and optimize modern data solutions for our midmarket and enterprise clients. Working primarily inside the Microsoft stack ...

Senior Data Engineer (Databricks, Python, Snowflake) Job Location: Montreal QC Job Type: Contract Job Overview: Requirement/Must Have: * Experience with Azure cloud technologies such as Databricks.

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Showing results 1-20

Data Engineer information

See Wisconsin salary details

$44.9K

$130.9K

$179.2K

How much do data engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for data engineer in Wisconsin is $130,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $138,800.00 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 Wisconsin? The most popular types of Data Engineer jobs in Wisconsin are:
What are popular job titles related to Data Engineer jobs in Wisconsin? For Data Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Wisconsin look for? The top searched job categories for Data Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Engineer jobs? Cities in Wisconsin with the most Data Engineer job openings:
What are popular job titles related to Data Engineer jobs in WI? For Data Engineer jobs in WI, the most frequently searched job titles are:
Infographic showing various Data Engineer job openings in Wisconsin as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $130,930 per year, or $62.9 per hour.
Lead Data Engineer

$131K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


American Family Insurance rating

7.6

Company rating: 7.6 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

186th of 261 rated insurance


Job description

This position collects, stores, processes and builds applications within our big data platform. Responsible for integrating these applications with the architecture used across the organization.

Position Compensation Range:

$131,000.00 - $220,000.00

Pay Rate Type:

Salary

Compensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates.

This position has approval to transfer a valid H1 visa.

Primary Accountabilities
Leads an engineering team to meet project deadlines and priorities.
Supervises assigned data engineering team members & activities.
Ensures the quality, completeness, security, privacy, and integrity of data throughout the data lifecycle.
Documents critical workflows and operational support aspects of team's responsibilities
Develops deep understanding of data sources, granularity, availability, and limitations.
Provides proactive technical oversight and advice to application architecture and development teams fostering re-use, design for scale, stability, and operational efficiency of data/analytical solutions.
Creates maintainable, scalable code to load and manipulate data in the data warehouse.
Facilitates communication upward and across project teams and business stakeholders.
Specialized Knowledge & Skills Requirements
Demonstrated experience providing customer-driven solutions, support or service.
In-depth knowledge of SQL or NoSQL and experience using a variety of data stores (e.g. RDBMS, analytic database, scalable document stores)
Extensive hands-on Python programming experience, with an emphasis towards building ETL workflows and data-driven solutions.
Able to employ design patterns and generalize code to address common use cases.
Capable of authoring robust, high quality, reusable code and contributing to the division's inventory of libraries.
Expertise in big data batch computing tools (e.g. Hadoop or Spark), with demonstrated experience developing distributed data processing solutions.
Applied knowledge of cloud computing (AWS, GCP, Azure).
Knowledge of open source machine learning toolkits, such as sklearn, SparkML, or H2O.
Solid data understanding and business acumen in the data rich industries like insurance or financial
Applied knowledge of data modeling principles (e.g. dimensional modeling and star schemas).
Strong understanding of database internals, such as indexes, binary logging, and transactions.
Experience using tools for infrastructure-as-code (e.g. Docker, CloudFormation, Terraform, etc.)
Experience with software engineering tools and workflows (i.e. Jenkins, CI/CD, git).
Practical experience authoring and consuming web services.
Licenses:
Not Applicable.
Travel Requirements
Up to 10%.
Physical Requirements
Work that primarily involves sitting/standing.
Working Conditions
Not Applicable.

Additional Information
  • To ensure a strong start, all employees participate in our New Employee Orientation during their first week. This experience is held in person at our Madison, WI Headquarters or one of our AmFam core locations to help you connect with our mission, meet key team members and build relationships that support your growth. At times, sessions may be delivered virtually based on scheduling and availability.
  • Offer to selected candidate will be made contingent on the results of applicable background checks
  • Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions
  • Sponsorship will not be considered for this position unless specified in the posting

We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees). In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits.

We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non-discrimination, non-harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

American Family Insurance is committed to the full inclusion of all qualified individuals. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email AskHR@AmFam.com to request a reasonable accommodation.

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