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Data Integration Jobs in Wisconsin (NOW HIRING)

Palantir Data Engineer | ONSITE

Milwaukee, WI · On-site

$112K - $135K/yr

Integrate data from various sources ensuring data quality and consistency * Collaborate with data scientists and analysts to support their data needs * Optimize data workflows for performance and ...

Palantir Data Engineer | ONSITE

Milwaukee, WI · On-site

$112K - $135K/yr

Integrate data from various sources ensuring data quality and consistency * Collaborate with data scientists and analysts to support their data needs * Optimize data workflows for performance and ...

Data Engineer

Madison, WI · On-site

$160K/yr

Migrate legacy SSIS packages to modern Databricks solutions * Maintain and optimize existing SSIS packages and SSRS reports * Participate in data warehouse design and implementation * Implement data ...

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

The engineer applies strong expertise in AWS, Python, Spark, SQL, data integration patterns (ETL/ELT, event streaming, and real time processing), infrastructure as code, containerization, and DevOps ...

Expert Integration Architect

Madison, WI · On-site

$71.25 - $92/hr

Lead data integration activities for 3rd party Ad tech solutions (DMP, DSP, Ad Server, Fraud & Verification, OFA, Tag & Consent Management) as well as 1st party data sources & systems (websites ...

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 ...

Data Engineer

Schofield, WI · On-site

$114K - $137K/yr

... integrations, and reporting workflows to ensure reliability and accuracy Document data processes, workflows, and technical solutions for internal teams Collaborate with software developers and ...

Data Architect

North 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 ...

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 ...

Data Architect

Fond Du Lac, WI

$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 ...

You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Enhancing your leadership style, you motivate, develop and inspire others ...

Data Integration & System Design * Design and document data integration patterns across systems (ERP, CRM, data lake, warehouse, etc.). * Align data models to support MDM, data mesh, data fabric, and ...

You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Focused on relationships, you are building meaningful client connections ...

Data Architect

Racine, WI · On-site

$59.75 - $77/hr

Key Responsibilities Outcomes: 1. Architect, design and implement high performance large volume data integration, transformation, warehouse, data lakes, data in cloud or large volume warehouse, data ...

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Data Integration information

See Wisconsin salary details

$10

$52

$84

How much do data integration jobs pay per hour?

As of Jul 5, 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 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 is a Data Integration job?

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 does a data integrator do?

A data integrator is responsible for combining data from different sources into a unified system, ensuring data consistency and accuracy. They often use tools like ETL (Extract, Transform, Load) processes and work with databases, data warehouses, and APIs to facilitate seamless data flow for analysis and decision-making.

What does data integration do?

Data integration involves combining data from different sources into a unified view, enabling organizations to analyze and use the data more effectively. Data integration specialists use tools like ETL (Extract, Transform, Load) processes and data warehouses to ensure data consistency, accuracy, and accessibility across systems.

What is a data integration job?

A data integration job involves combining data from different sources into a unified system to ensure consistency and accessibility. Professionals in this role typically work with tools like ETL (Extract, Transform, Load) processes, databases, and data warehouses to facilitate data flow and support business analytics.

What are the key skills and qualifications needed to thrive in the Data Integration position, 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.

Is data integration a good career?

Data integration is a viable career that involves combining data from different sources to ensure consistency and accessibility, often requiring skills in SQL, ETL tools, and data modeling. It is in demand across industries such as finance, healthcare, and technology, with opportunities for growth and specialization. Professionals in this field typically work in collaborative environments and may pursue certifications like Certified Data Management Professional (CDMP).
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:

Palantir Data Engineer | ONSITE

Kaav Inc.

Milwaukee, WI • On-site

$112K - $135K/yr

Other

Posted 27 days ago


Job description

Data Engineer

Work Location: ONSITE - Milwaukee, Wisconsin

Responsibilities:

  • Develop and maintain scalable data pipelines and systems
  • Integrate data from various sources ensuring data quality and consistency
  • Collaborate with data scientists and analysts to support their data needs
  • Optimize data workflows for performance and scalability
  • Implement data security and privacy best practices

Required:

  • Proven experience as a Palantir Data Engineer
  • Proficiency in SQL, Python, and PySpark
  • Experience with data integration and ETL processes
  • Familiarity with data warehousing solutions like Snowflake
  • Knowledge of data visualization tools such as Qlik and Power BI
  • Experience with Azure Data Factory ADF is a plus
  • Strong problem-solving skills and attention to detail
  • Experience with Palantir Foundry

Preferred:

  • Knowledge of big data technologies and frameworks
  • Strong communication and collaboration skills

Required Skills: ETL Additional Skills: Data Engineer