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Data Integration Jobs in Wisconsin (NOW HIRING)

Cielo

Senior Director - Client Data Solutions

Wauwatosa, WI · On-site +1

$103K - $139K/yr

Define and execute the organization's data integration and client data strategies, spanning integrations, data platform, and reporting enablement. * Establish KPIs to measure data platform ...

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 ...

Munich Re

Data and AI Enterprise Architect

Fond Du Lac, WI

  • Medical

  • Life

  • Retirement

  • PTO

Data Modeling, Data Integration, Analytics and AI lifecycle management * Collaborate closely with Business Solutions teams, Technology Architects, and Enterprise Data Architects across initiatives ...

Munich Re

Data and AI Enterprise Architect

La Crosse, WI · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Data Modeling, Data Integration, Analytics and AI lifecycle management * Collaborate closely with Business Solutions teams, Technology Architects, and Enterprise Data Architects across initiatives ...

Munich Re

Data and AI Enterprise Architect

Green Bay, WI · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Data Modeling, Data Integration, Analytics and AI lifecycle management * Collaborate closely with Business Solutions teams, Technology Architects, and Enterprise Data Architects across initiatives ...

Munich Re

Data and AI Enterprise Architect

Madison, WI · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Data Modeling, Data Integration, Analytics and AI lifecycle management * Collaborate closely with Business Solutions teams, Technology Architects, and Enterprise Data Architects across initiatives ...

Rural Mutual Insurance

Data Engineer

Madison, WI

$120K/yr

Architect, design, and implement scalable data pipelines and integration frameworks that support enterprise analytics, reporting, and data-driven decision-making. * Optimize data pipelines and models ...

Wisconsin

Data Governance Program Manager

Madison, WI · On-site +1

  • Retirement

  • PTO

Lead the design and implementation of data integration, linkage and secure release methodologies spanning structured, semi-structured, textual, imaging, and other heterogeneous biomedical data ...

Rural Mutual Insurance

Data Engineer

Madison, WI

$120K/yr

Architect, design, and implement scalable data pipelines and integration frameworks that support enterprise analytics, reporting, and data-driven decision making. * Optimize data pipelines and models ...

Summit Credit Union

Data Engineer (Hybrid)

Cottage Grove, WI · On-site

$108K - $130K/yr

Design, build, and maintain data architectures, databases, data models, and integration solutions that enable scalable and reliable data management. * Partner with business leaders, developers ...

Carroll University

Sr. Data Analyst

Waukesha, WI · On-site +1

$86K - $108K/yr

Work with enterprise systems including ERP/SIS, CRM, HRIS, LMS, and other institutional applications to support data integration and reporting. * Develop and optimize SQL queries, data pipelines, and ...

Booz Allen Hamilton

MuleSoft Architect

Madison, WI · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

You Have: * 7+ years of experience with data integration or API development * Experience with MuleSoft integration across multiple tools, including Salesforce * Experience using AI tools to expedite ...

Shine United

Data Analyst

Madison, WI · On-site

  • Medical

  • Dental

  • Life

  • Retirement

Familiarity with CRM data integration and customer journey analysis. COMPENSATION & BENEFITS: Competitive salary based on experience. Benefits package includes: fully paid health, dental, life and ...

Shine United

Data Analyst

Madison, WI

  • Medical

  • Dental

  • Life

  • Retirement

Familiarity with CRM data integration and customer journey analysis. COMPENSATION & BENEFITS: Competitive salary based on experience. Benefits package includes: fully paid health, dental, life and ...

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All JobsData Integration JobsData Integration Jobs in Wisconsin

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.

Senior Director - Client Data Solutions

Cielo

Wauwatosa, WI • On-site, Remote

$103K - $139K/yr

Full-time

Re-posted 22 hours ago

Job description

Company Description
Are you ready to accelerate your career? Join Cielo as a Senior Director - Client Data Solutions! A career at Cielo will give you the opportunity to work with the industry's smartest people and to take ownership of your success!
Cielo is a brand that reflects our big idea - that talent is rising - and with it our opportunity to rise above. We create careers for ambitious people by moving beyond traditional assumptions of what it means to work in talent acquisition.
Cielo is the world's leading Talent Acquisition Partner. We deliver a better talent experience for everyone through Talent Acquisition, Search, Consulting, and Digital Accelerators™. With our fresh approach - we design and build comprehensive, proven solutions inspired by technology to find and keep the unique talent that elevates our clients above the competition.
Cielo is an equal opportunity employer and will not discriminate against any applicant for employment because of race, color, religion, sex, national origin, disability, age, genetic information, or any other status protected by state or local law for an individual who falls within the jurisdiction of such law. Applicants who require an accommodation throughout the application and interview process should request this in advance by contacting Cielo Talent Acquisition at talent.acquisition@cielotalent.com
Job Description
The Senior Director - Client Data Solutions is a strategic leadership role responsible for defining and delivering the organization's end-to-end client data ecosystem, including client integrations (ATS and external systems), data engineering, and client-facing reporting solutions.
This role ensures seamless, scalable data flow from client environments into internal systems and productized data solutions, owning the design, delivery, and reliability of integrations that enable consistent, high-quality dashboards and reporting experiences. The Senior Director - Client Data Solutions is accountable for templated, analytics-ready data products that power client reporting, while partnering with Business Intelligence and analytics teams who drive insight generation and ad hoc analysis.
As a senior member of the Client Technology leadership team, this role works closely with Product Management, AI Engineering, and Client Services to align integration and data capabilities with product strategy, AI initiatives, and long-term platform evolution.
Role: Remote - United States
Work set up: Monday to Friday - FTE
Skills: Are you Strong experience in Data engineering / Data platforms & integrations? Do you have the ability to Identify most efficient and stable ways to extract client data, Ensure correct integration into internal systems then translate into accurate reporting and dashboards?
Duties and Responsibilities:
  • Lead, mentor, and scale Data Engineering, Integration Engineering, and Client Reporting teams, providing technical guidance, career development, and performance management.
  • Define and execute the organization's data integration and client data strategies, spanning integrations, data platform, and reporting enablement.
  • Establish KPIs to measure data platform performance, reporting adoption, data quality, and business impact.
  • Partner with executive stakeholders across Product, AI Engineering, and Client Services to align data capabilities with business priorities.
  • Contribute to Engineering Leadership governance, including technical standards, architecture, and long-term strategy.
  • Drive technical direction for data architecture, integration patterns, and platform scalability.
  • Oversee the design and delivery of scalable, reliable data integration pipelines and integration workflows across client systems and internal platforms.
  • Establish best practices for data engineering, including testing, deployment, observability, and documentation.
  • Guide implementation of data quality, monitoring, and reliability frameworks.
  • Ensure compliance with data governance, security, and regulatory requirements.
  • Continuously evaluate and evolve the data technology stack to support growth and innovation.
  • Own the strategy and delivery of client-facing data products, including dashboards, reporting layers, and embedded data experiences.
  • Deliver scalable, templated reporting solutions that reduce reliance on custom, one-off reporting.
  • Partner with Client Services and Operations to translate business needs into reusable, analytics-ready data models.
  • Establish and maintain semantic layers, standardized metrics, and governed data definitions.
  • Ensure performance, usability, and consistency of data powering all client reporting experiences.
  • Collaborate with Product Management to embed reporting capabilities into core platform offerings.
  • Partner with Product Management to align data capabilities with product roadmaps and client value propositions.
  • Collaborate with AI Engineering to ensure enterprise data supports AI/ML model development, deployment, and consumption.
  • Work closely with client-facing teams to understand customer needs and deliver scalable, repeatable data solutions.
  • Act as a bridge between technical and business stakeholders to drive alignment and clarity on data initiatives.
  • Champion a data-driven culture across the organization.
  • Oversee planning, prioritization, and execution of data integration and platform initiatives.
  • Manage budgets, vendor relationships, and data-related technology investments.
  • Establish processes for monitoring, troubleshooting, and maintaining production data systems.
  • Drive continuous improvement in scalability, reliability, and efficiency of data operations.
  • Enable faster delivery of reporting capabilities through standardization and reusable data assets.

Supervisory Responsibilities:
The Senior Director - Client Data Solutions will assist with daily activities, provide guidance, conduct performance reviews, and support the professional growth of the Data Engineering, Integration Engineering, and Client Reporting leaders.
Qualifications
Position Requirements
Education:
  • Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field strongly preferred

Experience:
  • 8+ years of experience in data engineering, data platforms, or integration roles
  • 5+ years of experience leading technical teams, including managing managers
  • Deep experience with modern data architecture, ETL/ELT, and integration frameworks
  • Proven track record of delivering client-facing data solutions or data products at scale
  • Demonstrated ability to align technical solutions with business outcomes
  • Strong understanding of our core tech stack: AWS, Microsoft Azure, Apache Airflow, Docker, Python (Pandas), RDBMS (Snowflake, PostgreSQL), and NoSQL (Redis, DynamoDB)
  • Extensive experience with data modeling, ETL/ELT processes, and database technologies (Snowflake, PostgreSQL, NoSQL)
  • Experience with API design, development, and integration patterns
  • Experience working with AI/ML teams to support data requirements for model development and deployment
  • Track record of successfully delivering complex data integration projects that meet business requirements
  • Experience in talent acquisition technology, HR systems, or related industries preferred

Exposure:
  • Knowledge of data governance, security, and compliance requirements
  • Proficiency in data quality management and monitoring tools
  • Understanding of the full life cycle of project/program execution following established project management methodology
  • Demonstrate expert knowledge of talent acquisition platforms, tools, products, and other complimentary technologies to support these platforms
  • Deep subject matter expertise in a variety of workstreams (change management, risk assessment, compliance, sponsorship modelling, user acceptance testing, end-to-end testing, end user training, communications, resistance management, launch planning, and configuration)
  • Commercially astute
  • Proficient in Word, Excel, PowerPoint, Outlook, Smartsheet, Lucidchart, and other related productivity software

Additional Information

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