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Data Modeling Jobs in Wisconsin (NOW HIRING)

WI · On-site

$150 - $200/hr

Ensure models support healthcare-specific requirements (clinical, claims, provider, member, etc.).* Design and oversee data integration processes (ETL/ELT pipelines) to enable seamless data flow ...

Staff Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

Key ResponsibilitiesArchitect and own scalable, resilient data pipelines and platformsLead design decisions for data ingestion, transformation, and storageEstablish best practices for data modeling ...

Senior Data Engineer

Germantown, WI · On-site

$107K - $146K/yr

Key ResponsibilitiesDesign, build, and optimize scalable ETL/ELT data pipelinesDevelop and maintain data models in data warehouses and lakesEnsure data reliability, quality, and performance across ...

Data Architect

Racine, WI · On-site

$67/hr

Define semantic models, data marts, reporting layers, and KPI frameworks. * Provide architectural guidance for self-service analytics and enterprise reporting initiatives. * Ensure optimal ...

WI · On-site

$125 - $150/hr

Data Science opportunities abound! If you are a software developer/Computer Scientist - you may be ... Usinganalytic modeling, statistical analysis, programming, and/or another appropriate scientific ...

Data Engineer

Appleton, WI · On-site

$125 - $150/hr

Build and maintain data models and warehouse layers, enabling high-performance analytics and reporting. * Collaborate with analytics, product, and engineering teams to understand data needs and ...

New

Create data models, dashboards, reports, and visualizations while maintaining data integrity and accuracy. Use tools such as PowerBI Desktop, DAX Studio, Power Query, SQL server(s), Python, etc.

WI · On-site

$100 - $125/hr

Strong SQL skills are important, along with a solid understanding of data modeling, data warehousing, and how to design data products that are useful, trustworthy, and maintainable. You can write and ...

Data Architect (954)

Beloit, WI · On-site

$62.25 - $80.25/hr

Enterprise Data Architecture and Models * Metadata, Taxonomy, and Lineage Architecture * AI-Ready Data Foundations You will serve as the enterprise steward for data architecture and information ...

Showing results 41-60

Data Modeling information

See Wisconsin salary details

$10

$59

$83

How much do data modeling jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for data modeling in Wisconsin is $59.26, according to ZipRecruiter salary data. Most workers in this role earn between $53.12 and $68.89 per hour, depending on experience, location, and employer.

What is a data modeling?

A Data Modeling job involves designing and structuring data to ensure it is organized, efficient, and scalable for business needs. Data modelers create conceptual, logical, and physical data models that define relationships between data elements. They work closely with database administrators, data engineers, and analysts to optimize data storage and retrieval. Their role is crucial for maintaining data integrity and supporting business intelligence and analytics initiatives. Skills in SQL, database design, and data normalization are essential for success in this role.

What does a typical day look like for someone working in data modeling?

A typical day in Data Modeling often involves collaborating with business analysts, database administrators, and software developers to understand data requirements and translate them into logical and physical data structures. Data modelers spend time designing, reviewing, and optimizing data models, ensuring accuracy and consistency across systems and projects. They also review data flows, document data dictionaries, and participate in meetings to align data architecture with overall business needs. The role frequently requires balancing independent technical work with teamwork, as well as responding to feedback and evolving project requirements to support organizational goals.

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

To thrive in Data Modeling, you need strong analytical skills, proficiency in database design, and a solid understanding of data structures, usually supported by a degree in computer science, information systems, or a related field. Expertise with tools such as ERwin, SQL, PowerDesigner, or similar data modeling software, as well as knowledge of normalization techniques and experience with data warehousing concepts, are highly valued. Effective communication, attention to detail, and problem-solving abilities set outstanding data modelers apart, allowing them to convey complex concepts to both technical and non-technical stakeholders. These skills are vital for building accurate, scalable data models that serve as the foundation for reliable data-driven decision-making within organizations.

How much do data modelers make?

Data modelers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with advanced skills in database design and data warehousing can earn higher salaries, often exceeding $130,000. Certifications in data management and proficiency with tools like SQL and ER modeling can also influence compensation.

Is data modeling a good career?

Data modeling is a valuable career in data management and analytics, involving designing and organizing data structures for databases and systems. It requires skills in database tools, understanding of business requirements, and often benefits from certifications like CBIP or data modeling tools such as ERwin or PowerDesigner. The role offers opportunities in various industries with a focus on data quality and efficiency.

Is data modeling hard to learn?

Data modeling can be challenging for beginners due to the need to understand database structures, relationships, and normalization concepts. However, with consistent study, practice, and familiarity with tools like ER diagrams and SQL, many learners can develop proficiency over time.
Infographic showing various Data Modeling job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $123,265 per year, or $59.3 per hour.

Enterprise Data Architect

WI • On-site

$150 - $200/hr

Other

Re-posted 4 days ago


Key responsibilities

  • Develop and implement scalable, secure, and interoperable data systems tailored for OU Health's enterprise data analytics platform.

  • Define and maintain conceptual, logical, and physical data models to standardize data across clinical, research, and operational systems.

  • Design and oversee data integration processes (ETL/ELT pipelines) to enable seamless data flow between OU Health and other entities.


Job description

## Enterprise Data ArchitectApplylocations: Virtualtime type: Full timeposted on: Posted Todayjob requisition id: R0063293## **Position Title:**Enterprise Data Architect## **Department:**ETS Analytics and AI Data## **Job Description:**## ***This position may be performed remotely from the following locations within the United States of America: Arkansas, Kansas, Missouri, Oklahoma, and Texas.***## ## ***Please only apply if you live and work full-time in one of the states listed above or plan to relocate to one of these states before starting your employment with OU Health. State locations and specifics are subject to change as our hiring requirements shift.*****Preferred Experience:**## *Candidates with hands‐on enterprise data platform implementation experience are strongly preferred, as this role will play a critical role in designing and building a new companywide data solution from the ground up.*The Data Architect III leads design, implementation, and maintenance of OU Health’s Enterprise Data Platform and Information Architecture Framework. This role builds architecture, processes, and governance protocols to secure and manage data across its full life cycle, ensuring compliance and adaptability in an ever‐changing healthcare and technology environment. This role collaborates with clinical, research, and administrative leaders, vendors, and partners to deliver a scalable, secure, and future‐ready analytics platform that meets diverse data needs.**Essential Responsibilities:***Responsibilities listed in this section are core to the position. Inability to perform these responsibilities, with or without an accommodation, may result in disqualification from the position.** Develop and implement scalable, secure, and interoperable data systems (including data warehouses, data lakes, and real-time processing platforms) tailored for OU Health’s enterprise data analytics platform.* Define and maintain conceptual, logical, and physical data models to standardize data across clinical, research, and operational systems. Ensure models support healthcare-specific requirements (clinical, claims, provider, member, etc.).* 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 administrative stakeholders to gather requirements and deliver data solutions that meet departmental needs. Facilitate effective communication and collaboration among all parties.* Monitor and optimize database performance, troubleshoot issues, and integrate new technologies to support evolving healthcare analytics needs.* Implement robust security and backup procedures to protect sensitive patient information and ensure compliance with privacy laws.* Prepare and maintain system documentation, data dictionaries, and architecture blueprints. Provide training and guidance to team members on data management best practices.* Identify opportunities to enhance data infrastructure, support innovation, and enable advanced analytics for improved patient outcomes and operational efficiency.* Work closely with clinical staff, IT professionals, data analysts, and researchers to understand data requirements, workflows, and pain points. Facilitate regular meetings and workshops to gather input and align data solutions with clinical and operational needs.* Act as a liaison between technical teams and non-technical stakeholders, translating complex data concepts into actionable insights. Ensure that data architecture decisions reflect the priorities of clinicians, administrators, and compliance officers.* Promote a culture of knowledge sharing by documenting data models, standards, and best practices. Provide training and mentorship to team members on data management, security, and governance.* Lead collaborative efforts to troubleshoot data issues, optimize workflows, and implement new technologies. Encourage open communication and feedback to continuously improve data systems and processes.* Participate in project planning and execution, ensuring that data architecture aligns with project goals, timelines, and resource constraints. Coordinate with project managers and other architects to deliver integrated solutions.**General Responsibilities:*** Performs other duties as assigned.**Minimum Qualifications:****Education:** Bachelor's Degree in Computer Science, Information Systems, Health Informatics, or related field required.**Experience:** 5 years of experience in data architecture, database design, or healthcare IT required.**License(s)/Certification(s)/Registration(s):** None required.**Knowledge, Skills and Abilities:*** Proficiency in database management systems (SQL, NoSQL, cloud platforms).* Experience with healthcare interoperability standards (FHIR, HL7).* Familiarity with data modeling, ETL tools, and data integration platforms.* Programming skills (Python, Java, Scala) and experience with big data technologies.* Strong analytical, problem-solving, and communication abilities.* Ability to work collaboratively across clinical and technical teams.* Deep understanding of healthcare data security, privacy, and compliance requirements.* Experience in healthcare data governance, data hub design, and advanced analytics.* Knowledge of cloud-based data solutions (Azure, AWS, GCP).* Certification in data architecture, healthcare informatics, or related technologies preferred. #J-18808-Ljbffr