ZipRecruiter

Log In

1

Data Engineer Jobs in Wisconsin (NOW HIRING)

Deloitte

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 ...

Summit Credit Union

Data Engineer (Hybrid)

Cottage Grove, WI · On-site

$108K - $130K/yr

As a Data Engineer, you'll play a critical role in shaping and executing Summit's data strategy. Through technical expertise, innovation, and collaboration, you'll help ensure our data is accurate ...

Moxe

Senior Data Engineer

Madison, WI

$120 - $160K/hr

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 ...

Blain's Farm & Fleet

IT Data Engineer

Janesville, WI · On-site +1

$72K - $90K/yr

Job Duties As a Data Engineer, you will play a key role in designing, implementing, and maintaining our data integrations, storage and access solutions. You will work closely with cross-functional ...

Pwc

Data Engineer - Senior Associate

Milwaukee, WI · On-site

$77K - $202K/yr

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 ...

U.S. Venture, Inc.

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 ...

Bakertilly

Associate Data Engineer

Madison, WI

$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 ...

Bakertilly

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 ...

U.S. Venture

Senior Data Engineer - IGEN

Appleton, WI · On-site

$100K - $137K/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 ...

Blain's Farm & Fleet

IT Data Engineer

Janesville, WI · On-site

$72K - $90K/yr

Job Duties As a Data Engineer, you will play a key role in designing, implementing, and maintaining our data integrations, storage and access solutions. You will work closely with cross-functional ...

KOHLS

Senior Data Engineer (Remote)

Menomonee Falls, WI · On-site

$123K - $162K/yr

Participate in the entire application lifecycle in collaboration with designers, product managers, and other engineers on the product team * Leverage critical thinking, experimentation, data, and ...

Pwc

Data Strategy-Manager

Milwaukee, WI · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

next page

Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Wisconsin

Data Engineer information

See Wisconsin salary details

$44.9K

$130.9K

$179.2K

How much do data engineer jobs pay per year?

As of Jul 13, 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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.

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 pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
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:
Data Engineer jobs near you
Senior Data Engineer

Senior Data Engineer

Deloitte

Milwaukee, WI • Hybrid

$104K - $141K/yr

Other

Re-posted 5 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

60th of 148 rated financial services

Job description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? 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 with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Recruiting for this role ends on 12/31/2026.

Work you'll do/Responsibilities  

  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
  • Design, develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks
  • Write and tune PySpark / Spark SQL notebooks for large-scale data transformation
  • Architect end-to-end data solutions across dev UAT prod environments using Unity Catalog
  • Lead and drive design discussions with client architects and other counterparts
  • Collaborate with different teams on data contracts and schema agreements
  • Lead design and optimization of high-volume data pipeline.
  • Define and enforce data engineering standards - naming conventions, partitioning strategies, cluster configurations, Spark tuning
  • Drive performance optimization - AQE tuning, liquid clustering, broadcast joins, shuffle partition management
  • Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies
  • Conduct root cause analysis on production incidents and implement permanent fixes
  • Mentor junior and mid-level engineers through code reviews and pair programming
  • Evaluate new technologies and recommend adoption (e.g., DABs, DLT, Auto Loader, Serverless Compute, event hubs)

The Team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required Qualifications

  • Python, PySpark, Spark SQL, SQL Server
  • Azure (ADF, ADLS Gen2, Key Vault, Azure Monitor)
  • Databricks (Delta Lake, Unity Catalog, Workflows)
  • Apache Airflow
  • Git / Azure DevOps
  • Deep Spark internals (DAG optimization, spill analysis, skew handling)
  • Delta Lake advanced features (time travel, deletion vectors, predictive I/O)
  • Unity Catalog governance (row/column security, external locations, system tables)
  • IaC - Terraform, Azure ARM templates
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,000 to $150,000.

This position is aligned with the Project. To view the associated benefit package, please reference this document Project/Center: USBenefitsJourneyProjectandCenterTAM.

Additional Requirements

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Qualifications:

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? 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 with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Recruiting for this role ends on 12/31/2026.

Work you'll do/Responsibilities  

  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
  • Design, develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks
  • Write and tune PySpark / Spark SQL notebooks for large-scale data transformation
  • Architect end-to-end data solutions across dev UAT prod environments using Unity Catalog
  • Lead and drive design discussions with client architects and other counterparts
  • Collaborate with different teams on data contracts and schema agreements
  • Lead design and optimization of high-volume data pipeline.
  • Define and enforce data engineering standards - naming conventions, partitioning strategies, cluster configurations, Spark tuning
  • Drive performance optimization - AQE tuning, liquid clustering, broadcast joins, shuffle partition management
  • Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies
  • Conduct root cause analysis on production incidents and implement permanent fixes
  • Mentor junior and mid-level engineers through code reviews and pair programming
  • Evaluate new technologies and recommend adoption (e.g., DABs, DLT, Auto Loader, Serverless Compute, event hubs)

The Team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required Qualifications

  • Python, PySpark, Spark SQL, SQL Server
  • Azure (ADF, ADLS Gen2, Key Vault, Azure Monitor)
  • Databricks (Delta Lake, Unity Catalog, Workflows)
  • Apache Airflow
  • Git / Azure DevOps
  • Deep Spark internals (DAG optimization, spill analysis, skew handling)
  • Delta Lake advanced features (time travel, deletion vectors, predictive I/O)
  • Unity Catalog governance (row/column security, external locations, system tables)
  • IaC - Terraform, Azure ARM templates
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,000 to $150,000.

This position is aligned with the Project. To view the associated benefit package, please reference this document Project/Center: USBenefitsJourneyProjectandCenterTAM.

Additional Requirements

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Education:Bachelor's DegreeEmployment Type:

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply