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Data Modeling Jobs in Wisconsin (NOW HIRING)

Vultus Inc

Data Engineer

Seymour, WI · On-site

$116K - $140K/yr

Maintain technical documentation for data pipelines, workflows, and data models. * Follow security, governance, and best practices for handling enterprise data. Required Skills * Strong proficiency ...

SysLogic, Inc.

Data Analytics Architect

Brookfield, WI · On-site +1

Develop end-to-end data analytics architectures, including data integration, data warehousing, data modeling, data visualization, and reporting, leveraging Microsoft platforms. * Implement data ...

Cesco

Data Engineer

Appleton, WI · On-site

$111K - $134K/yr

Data Modeling: Develop and maintain data models and schemas (Bronze/Silver/Gold medallion architecture) that eliminate redundant business logic and establish a single source of truth. * Platform ...

Cesco

Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Data Modeling: Develop and maintain data models and schemas (Bronze/Silver/Gold medallion architecture) that eliminate redundant business logic and establish a single source of truth. * Platform ...

Gravitonsolutions

WI · On-site

$100 - $125/hr

Perform data ingestion, transformation, and modeling * Work closely with business & analytics teams * Ensure data quality, governance, and performance Qualifications * Palantir Foundry expertise

Lake Michigan Credit Union

WI · On-site

$150 - $200/hr

Ensure data pipelines and models are reliable, secure, performant, well-documented, and supportable through effective monitoring, data quality controls, lineage, and issue-resolution processes.

Conch Technologies

Lead Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Strong SQL development and data modeling experience. * Experience building enterprise-scale ETL/ELT pipelines. * Experience working with large-volume datasets and performance optimization.

Elephas

Senior Data Scientist

Madison, WI · On-site

The Senior Data Scientist will support clinical correlation data modeling, which includes working with data engineers to assess data quality of incoming assay and clinical data, developing bootstraps ...

Elephas

Senior Data Scientist

Madison, WI · On-site

The Senior Data Scientist will support clinical correlation data modeling, which includes working with data engineers to assess data quality of incoming assay and clinical data, developing bootstraps ...

Wisconsin

Data Scientist II

Madison, WI · On-site +1

$80K/yr

Create reusable data models and semantic layers within Power BI * Support integration of GIS data sources into enterprise data environments Stakeholder Collaboration and Requirements Gathering

Conch Technologies Inc

Lead Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Strong SQL development and data modeling experience. * Experience building enterprise-scale ETL/ELT pipelines. * Experience working with large-volume datasets and performance optimization.

Soteria Reinsurance Ltd.

WI · On-site

$150 - $200/hr

Senior Data Scientist - Applied AI, NLP, and LLM Solutions Note: Fidelity will not provide ... Strong technical foundation in machine learning and statistical modeling, with deeper experience in ...

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Showing results 21-40

All JobsData Modeling JobsData Modeling Jobs in Wisconsin

Data Modeling information

See Wisconsin salary details

$10

$59

$83

How much do data modeling jobs pay per hour?

As of Sep 9, 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.

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

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

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

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

Data Modeling jobs near you
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.

Data Engineer

Seymour, WI • On-site

Vultus Inc
Software Development • 11 - 50 employees
Learn more about Vultus Incexternal

$116K - $140K/yr

Full-time

Posted 16 days ago

Job description

Data Engineer

Experience

2–5 years

Job Type

Full-time

Job Summary

We are looking for a skilled Data Engineer to design, develop, and maintain scalable data pipelines and data processing solutions. The ideal candidate should have strong experience in SQL, Python, ETL/ELT processes, cloud data platforms, and data warehousing.

Key Responsibilities
  • Design, develop, and maintain reliable data pipelines for batch and real-time data processing.
  • Build and optimize ETL/ELT workflows from multiple data sources.
  • Develop complex SQL queries, stored procedures, and data transformations.
  • Work with data warehouses, data lakes, and cloud-based data platforms.
  • Perform data cleansing, transformation, validation, and integration.
  • Monitor data pipelines and troubleshoot failures, performance issues, and data-quality problems.
  • Optimize data processing jobs and database queries for performance and scalability.
  • Implement data-quality checks and ensure data accuracy and consistency.
  • Collaborate with Data Scientists, BI Developers, Analysts, and Software Engineers.
  • Participate in data architecture and pipeline design discussions.
  • Maintain technical documentation for data pipelines, workflows, and data models.
  • Follow security, governance, and best practices for handling enterprise data.
Required Skills
  • Strong proficiency in SQL.
  • Strong programming experience in Python.
  • Hands-on experience with ETL/ELT pipelines.
  • Experience with data warehousing concepts and dimensional data modeling.
  • Experience with databases such as SQL Server, PostgreSQL, MySQL, or similar.
  • Experience working with cloud platforms such as Microsoft Azure, AWS, or GCP.
  • Understanding of data lakes and distributed data processing.
  • Experience with version control systems such as Git.
  • Strong understanding of data quality, data validation, and error handling.
Preferred Skills
  • Experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, or Databricks.
  • Experience with Apache Spark/PySpark.
  • Knowledge of Power BI and BI data models.
  • Experience with streaming technologies such as Kafka.
  • Knowledge of CI/CD and DevOps practices.
  • Experience working with REST APIs and integrating data from external systems.
  • Familiarity with data governance, security, and compliance.
Education
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
Soft Skills
  • Strong analytical and problem-solving skills.
  • Good communication and collaboration skills.
  • Ability to work independently and as part of a team.
  • Strong attention to detail.
  • Ability to troubleshoot complex data issues.
Key Qualifications
  • 2–5 years of hands-on experience in Data Engineering.
  • Strong SQL and Python expertise.
  • Practical experience developing and supporting production data pipelines.
  • Good understanding of cloud data engineering and modern data architecture.