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Data Integration Jobs in Wisconsin (NOW HIRING)

Urus

Data Engineer

Madison, WI · On-site

$114K - $137K/yr

Integrate Databricks with enterprise applications, databases, and other data sources. * Partner with business users, analysts, and IT teams to translate reporting and data needs into scalable ...

Farm Systems

Data Engineer

Madison, WI

$114K - $137K/yr

Integrate Databricks with enterprise applications, databases, and other data sources. * Partner with business users, analysts, and IT teams to translate reporting and data needs into scalable ...

Urus Group LP

Data Engineer

Watertown, WI · On-site +1

$109K - $131K/yr

Integrate Databricks with enterprise applications, databases, and other data sources. * Partner with business users, analysts, and IT teams to translate reporting and data needs into scalable ...

AgSource

Data Engineer

Watertown, WI · On-site +1

$109K - $131K/yr

Integrate Databricks with enterprise applications, databases, and other data sources. * Partner with business users, analysts, and IT teams to translate reporting and data needs into scalable ...

Society Insurance Company

Data Architect

Fond Du Lac, WI · On-site

$62.75 - $80.75/hr

Designs and optimizes data ingestion, transformation, and integration patterns (ETL/ELT) to ensure reliable data movement across systems. * Ensures data architecture supports data quality, lineage ...

Society Insurance

Data Architect

Fond Du Lac, WI · On-site

$62.75 - $80.75/hr

Designs and optimizes data ingestion, transformation, and integration patterns (ETL/ELT) to ensure reliable data movement across systems. * Ensures data architecture supports data quality, lineage ...

Milliman Ireland

WI · On-site

Integration Analyst - IntelliScript (Remote) Job Category : Information Technology Requisition ... Together, we develop and deploy category-defining, data-driven, software-as-a-service (SaaS ...

Society Insurance Company

Data Architect

Fond Du Lac, WI · On-site

$62.75 - $80.75/hr

Designs and optimizes data ingestion, transformation, and integration patterns (ETL/ELT) to ensure reliable data movement across systems. * Ensures data architecture supports data quality, lineage ...

Charter Manufacturing Company, Inc.

Data Architect

Mequon, WI · On-site

$56.50 - $72.75/hr

You will architect modern data platforms and integration strategies that connect manufacturing systems, ERP platforms, cloud technologies, and analytical applications into a cohesive enterprise ...

Charter Automotive

Data Architect

Mequon, WI · On-site

$55.75 - $71.75/hr

You will architect modern data platforms and integration strategies that connect manufacturing systems, ERP platforms, cloud technologies, and analytical applications into a cohesive enterprise ...

Roehl Transport

Senior Data Engineer

Marshfield, WI · On-site

$106K - $144K/yr

Build and support data pipelines, integrations, and transformation processes across operational systems, reporting platforms, and cloud data environments. * Partner with BI Developers, Data Analysts ...

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Data Integration information

See Wisconsin salary details

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$52

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How much do data integration jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for data integration in Wisconsin is $52.17, according to ZipRecruiter salary data. Most workers in this role earn between $43.89 and $58.70 per hour, depending on experience, location, and employer.

What is a data integration?

A Data Integration job involves combining data from different sources into a unified view for analysis, reporting, and operational use. Professionals in this role design, develop, and maintain data pipelines to ensure seamless data flow between systems. They often work with ETL (Extract, Transform, Load) processes, APIs, and cloud platforms to facilitate integration. Strong skills in SQL, data modeling, and tools like Informatica, Talend, or Apache Nifi are commonly required. Their goal is to ensure data accuracy, consistency, and availability for business and analytical use.

What are the typical daily responsibilities of someone working in data integration?

Data Integration professionals are often responsible for designing, developing, and maintaining ETL pipelines that transfer and transform data between different systems. Their day-to-day tasks may include analyzing data sources, troubleshooting data inconsistencies, optimizing integration workflows, and creating documentation for data processes. Collaboration is frequent, as they work closely with database administrators, data analysts, and business stakeholders to ensure data accuracy and availability. Staying updated with evolving tools and best practices also forms a key part of their ongoing responsibilities.

What are the key skills and qualifications needed to thrive in data integration, and why are they important?

To thrive as a Data Integration professional, you need strong knowledge of data management principles, proficiency in SQL, ETL processes, and experience with data warehousing concepts, often supported by a bachelor's degree in computer science or a related field. Familiarity with integration platforms such as Informatica, Talend, or Microsoft SSIS, as well as certifications like Certified Data Management Professional (CDMP), are commonly beneficial. Excellent problem-solving, communication, and collaboration skills help manage complex projects and liaise with stakeholders across technical and business teams. These abilities are crucial for ensuring seamless, accurate data flow that supports informed business decisions and operational efficiency.

How to become a data integration specialist?

To become a data integration specialist, you typically need a bachelor's degree in computer science, information technology, or a related field. Gaining experience with data management, ETL tools, and programming languages like SQL, Python, or Java is essential, along with knowledge of database systems and data warehousing. Certifications such as Certified Data Management Professional (CDMP) or vendor-specific credentials can enhance job prospects.

What are the most commonly searched types of Data Integration jobs in Wisconsin?

The most popular types of Data Integration jobs in Wisconsin are:

What are popular job titles related to Data Integration jobs in Wisconsin?

For Data Integration jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Data Integration jobs in Wisconsin look for?

The top searched job categories for Data Integration jobs in Wisconsin are:

Data Integration jobs near you
Infographic showing various Data Integration job openings in Wisconsin as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $108,506 per year, or $52.2 per hour.

Data Engineer

Madison, WI • On-site

Urus
See more jobs at Urusexternal

$114K - $137K/yr

Full-time

Posted 15 days ago

Job description

VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the data solutions that support our global business. Working primarily in Databricks, you'll develop and maintain pipelines and datasets that power reporting, analytics, and AI/ML workloads.

This role works across both modern and established data technologies, with a focus on improving performance, reliability, data quality, and scalability. We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience, and a solid understanding of data warehousing and Microsoft-based data environments.

Responsibilities

  • Design, build, and maintain scalable ETL/ELT pipelines and datasets in Databricks using Python, Spark, and SQL.
  • Develop and support batch and streaming data architectures for reporting, analytics, and AI/ML workloads.
  • Troubleshoot and optimize Databricks and existing data integration processes for performance, reliability, and data latency.
  • Support and enhance existing SQL Server, SSIS, and SSRS solutions while contributing to ongoing platform modernization.
  • Implement data quality checks, validation, cleansing, and data warehousing best practices across data pipelines and reporting environments.
  • Integrate Databricks with enterprise applications, databases, and other data sources.
  • Partner with business users, analysts, and IT teams to translate reporting and data needs into scalable technical solutions.
  • Contribute to continuous improvement through emerging data engineering practices, AI-assisted development tools, documentation, and ongoing learning
     

Requirements

  • Bachelor's degree in Computer Science, Information Systems, or a related field.
  • Strong hands-on experience with Databricks, including Python, Spark, and Delta Lake.
  • Strong SQL Server and data warehousing experience, including T-SQL.
  • Experience with SSIS and SSRS.
  • Experience with Microsoft Azure; Microsoft Fabric is a plus.
  • Experience using AI-assisted development tools as part of the engineering workflow.
  • Strong analytical, problem-solving, communication, and collaboration skills.
     

For the past 40 years we've woken up each day to support those that never stop feeding the world - and we have no plans to quit. We set the standard for farm management solutions and fix our eyes on raising the bar to meet the next generation of expectations.

Our software and information solutions help collect and connect a farm's data - from herd management to feed performance, tracking and more. These insights are a source of truth, empowering producers and their trusted advisors to make profit-driven and sustainable management decisions.

Whether near or far, large or small, VAS is at the heart of your dairy.

VAS has deep roots in the industry through its origin within the URUS family of companies. As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry - Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS.  Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 brands in 17 retail countries and employs nearly 2,800 people globally.

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