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Data Integration Jobs in Wisconsin (NOW HIRING)

Baird

Data Integration Developer

Milwaukee, WI · On-site

Do you enjoy designing and building robust data integration pipelines while collaborating closely with both technical and business partners? Are you looking to grow your expertise in modern data ...

Ontech Talent

Data & Integration Manager

Brookfield, WI · On-site

$150K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The Data & Integration Manager is responsible for leading the enterprise data, integration, automation, and internal development function in a large, multi-system environment. This role owns the ...

Pandata Group

Data Integration Developer

Madison, WI

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As one of our Data Integration Consultants, you love a challenge and are eager to learn. You will work closely with our internal teams and clients to find creative ways to integrate, enrich, and ...

Johnson Controls

Senior Data Integration Engineer

Milwaukee, WI · On-site

$100K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Integrate data from key enterprise systems, including: * Workday (core HCM, recruiting, etc.) * Other HR, payroll, and workforce-related systems * Ensure ingestion pipelines are robust, efficient ...

Johnson Controls

Senior Data Integration Engineer

Milwaukee, WI · On-site

$100K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Integrate data from key enterprise systems, including: * Workday (core HCM, recruiting, etc.) * Other HR, payroll, and workforce-related systems * Ensure ingestion pipelines are robust, efficient ...

CYNET SYSTEMS

Data Architect

Racine, WI · On-site

$67/hr

Define data integration patterns across ERP, CRM, cloud, and third-party applications. * Guide engineering teams on best practices for data modeling, pipeline design, orchestration, and optimization.

Sia Partners'

WI · On-site

$110 - $170/hr

Data Integration & Loading Patterns: Implementing best practices for batch, streaming, and real‑time data integration, adapting to structured, semi‑structured, and unstructured data sources. CI ...

OU Medicine

WI · On-site

$130 - $190/hr

Design and oversee data integration processes (ETL/ELT pipelines) to enable seamless data flow between OU Health and other entities as needed.* Work closely with clinical, research, and ...

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Data Integration information

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$52

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How much do data integration jobs pay per hour?

As of Aug 19, 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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $108,506 per year, or $52.2 per hour.

Data Integration Developer

Baird

Milwaukee, WI • On-site

Full-time

Re-posted 11 days ago

Baird rating

8.5

Company rating: 8.5 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

About the Role:
Are you energized by transforming complex business data into reliable, scalable solutions that power critical decisions? Do you enjoy designing and building robust data integration pipelines while collaborating closely with both technical and business partners? Are you looking to grow your expertise in modern data integration, data architecture, and evolving data platforms within a highly collaborative environment?
As Baird continues to invest in data as a strategic asset, we are expanding our IT Data Integration team and seeking a Data Integration Developer to help build and support high-quality data solutions across the firm. In this role, you will play an important part in developing and delivering data integration processes that enable business intelligence, analytics, and operational reporting.
This opportunity is ideal for a motivated data professional who thrives in an agile environment, enjoys solving complex data challenges, and takes pride in delivering solutions that drive measurable business impact. You'll work cross-functionally with business analysts, BI teams, and technical partners to translate data needs into scalable solutions, while continuously building your technical and business knowledge.
This position is hybrid, offering a combination of 2 day/week remote work and 3 days/week in our collaborative downtown Milwaukee workspace. At Baird, you'll find a supportive culture centered on teamwork, continuous learning, and making a meaningful impact through data.
The Impact You'll Make:
Development & Data Integration Delivery:
  • Build and support data integration solutions using a variety of tools, technologies, and frameworks
  • Design and contribute to data architecture specifications for data integration and data storage solutions
  • Perform data analysis, mapping, and transformation to support accurate and efficient data movement
  • Develop, test, and maintain ETL/ELT processes that ensure data integrity and reliability
  • Provide full lifecycle support of data integration solutions from implementation through ongoing optimization
  • Create and execute test plans to validate solution functionality, data accuracy, and performance
  • Identify data quality issues and proactively manage risk by raising awareness and driving resolution
  • Prepare and maintain technical documentation to support transparency, scalability, and long-term support

Collaboration & Business Partnership:
  • Partner with business units to define data and information requirements and translate them into scalable solutions
  • Work closely with business analysts and BI teams to align technical solutions with business goals
  • Perform data discovery and analysis to clarify requirements and improve solution design
  • Collaborate with team members to translate functional requirements into technical specifications
  • Proactively identify risks, dependencies, and delivery challenges and communicate with stakeholders
  • Support business users by understanding how data is accessed and used, and help improve overall data usability
  • Contribute to solutions that enable the business to leverage data and BI capabilities for competitive advantage

Learning & Continuous Improvement:
  • Stay current with emerging technologies, tools, and best practices in data integration and engineering
  • Seek out opportunities to enhance skills through training, industry engagement, and hands-on experience
  • Contribute to a culture of continuous improvement, automation, and knowledge sharing within the team
  • Identify opportunities to streamline processes, reduce manual effort, and improve data delivery efficiency

What You'll Bring to Baird:
  • 3-5 years of experience in data integration, data engineering, or business intelligence within a complex environment
  • Strong experience with data integration concepts such as ETL/ELT, data warehousing, and event-based processing
  • Hands-on experience with data integration tools such as SSIS or similar platforms
  • Experience with databases and platforms such as SQL Server, Snowflake, Azure SQL Database, and Azure Data Lake and strong proficiency in SQL/T-SQL
  • Experience with data integration tools such as SSIS, Fivetran, dbt, Azure Data Factory, or similar technologies
  • Experience in data analysis, data mapping, data profiling, and data quality practices
  • Understanding of relational (3NF) and dimensional data modeling concepts
  • Experience building and loading structured data sets aligned to business requirements
  • Familiarity with processing and integrating various data formats including flat files, CSV, JSON, XML, APIs, and message queues
  • Exposure to BI tools such as Power BI, Alteryx, SSRS, or SSAS
  • Working knowledge of APIs and/or programming languages such as C# is a plus
  • Strong communication skills with the ability to collaborate effectively across technical and business teams
  • Analytical mindset with a willingness to dive into data to troubleshoot and resolve issues
  • Creative problem-solving skills with a focus on automation and process improvement
  • Self-motivated and adaptable, with the ability to manage priorities in an agile environment
  • Experience working in a regulated or data-sensitive environment is preferred
  • Bachelor's degree in Computer Science, MIS, Business Administration, Finance, or equivalent experience

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