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Data Modeler Jobs in Wisconsin (NOW HIRING)

Bespoke Labs

Data Engineer

Kenosha, WI · On-site

$113K - $136K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Bespoke Labs

Data Engineer

Green Bay, WI · On-site

$111K - $133K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Bespoke Labs

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Wisconsin

Data Warehouse Developer

Platteville, WI · On-site

$70K/yr

Provides modeling analysis and develops conceptual, logical, and physical data models according to specifications and standards for document naming, security, lifecycle, and retention architectures.

Urus

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

Model and curate subject areas for genetics, reproduction, and bioinformatics (e.g., animals, pedigrees, genotypes, breeding values, trials). * Support data quality initiatives and implement data ...

Urus Group LP

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

Model and curate subject areas for genetics, reproduction, and bioinformatics (e.g., animals, pedigrees, genotypes, breeding values, trials). * Support data quality initiatives and implement data ...

The Home Depot

Senior Data Scientist

Milwaukee, WI

Develop custom data models and algorithms to apply to data sets. * Use predictive modeling to ... increase and optimize customer experiences, revenue generation, ad targeting, and other business ...

Farm Systems

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

Model and curate subject areas for genetics, reproduction, and bioinformatics (e.g., animals, pedigrees, genotypes, breeding values, trials). * Support data quality initiatives and implement data ...

AgSource

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

Model and curate subject areas for genetics, reproduction, and bioinformatics (e.g., animals, pedigrees, genotypes, breeding values, trials). * Support data quality initiatives and implement data ...

Johnson Controls

Senior Data Scientist

Milwaukee, WI · On-site

Develop custom data models and algorithms to apply to data sets. * Use predictive modeling to ... increase and optimize customer experiences, revenue generation, ad targeting, and other business ...

Trans Ova Genetics

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

Model and curate subject areas for genetics, reproduction, and bioinformatics (e.g., animals, pedigrees, genotypes, breeding values, trials). * Support data quality initiatives and implement data ...

AgSource

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

Model and curate subject areas for genetics, reproduction, and bioinformatics (e.g., animals, pedigrees, genotypes, breeding values, trials). * Support data quality initiatives and implement data ...

Fielmann USA

Data Engineer II

Green Bay, WI · On-site

$111K - $133K/yr

... MODELING & ARCHITECTURE • Design and maintain data models, schemas, and database structures to support analytical and operational use cases • Optimize data storage and retrieval mechanisms for ...

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All JobsData Modeler JobsData Modeler Jobs in Wisconsin

Data Modeler information

See Wisconsin salary details

$10

$59

$83

How much do data modeler jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for data modeler 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.

Will AI replace data modelers?

AI tools can automate certain tasks in data modeling, such as generating schemas or analyzing data patterns, but data modelers are essential for designing complex data structures, understanding business requirements, and ensuring data quality. The role is evolving to include working alongside AI and developing skills in data architecture and tools like ER diagrams and modeling software.

What are Data Modelers?

Data Modelers are professionals who design, create, and manage data models that define the structure, organization, and relationships of data within databases or information systems. They work closely with business analysts, database administrators, and developers to ensure that data is organized efficiently and can be accessed and used effectively. Data Modelers use specialized tools and techniques to translate business requirements into conceptual, logical, and physical data models, supporting data consistency, integrity, and security across an organization's systems.

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 specialized skills in database design and data warehousing can earn higher salaries, often exceeding $130,000 annually.

What are some typical challenges Data Modelers face when working on large-scale projects?

Data Modelers often encounter challenges such as integrating data from multiple, disparate sources and ensuring consistency across large and complex datasets. Aligning the data model with evolving business requirements while maintaining performance and scalability can also be demanding. Additionally, effective communication with stakeholders—like business analysts, database administrators, and software developers—is crucial to ensure the data model meets both technical and business needs.

What are the key skills and qualifications needed to thrive as a Data Modeler, and why are they important?

To thrive as a Data Modeler, you need a strong understanding of database design, data modeling concepts (such as ER diagrams and normalization), and proficiency in SQL, often supported by a degree in computer science or a related field. Experience with data modeling tools like ERwin, IBM InfoSphere Data Architect, or Microsoft Visio, as well as knowledge of database management systems (DBMS), is typically required. Strong analytical thinking, attention to detail, and effective communication skills help in translating business requirements into technical data structures. These skills and qualities are essential for building scalable, efficient, and accurate data systems that meet organizational needs.

What is the work of data modeler?

A data modeler designs and creates data structures and schemas to organize and store data efficiently for databases and information systems. They analyze business requirements, develop data models using tools like ER diagrams, and ensure data integrity and consistency. Strong knowledge of database management systems and data modeling techniques is essential for this role.

What Is the Job of a Data Modeler?

As a data modeler, your responsibilities are to break down complex computer system data into a logical process that makes it easier to understand for data analysis and statistical purposes. Your duties as a data modeler include reducing data redundancy, checking for data errors, conceptualizing and designing efficient data models, overseeing data architecture growth, and fine-tuning data performance. These positions are usually independent, but you may sometimes need to work with other team members to address potential issues related to data. Data modelers need self-motivation, critical thinking, and problem-solving skills, and you should be quick to adapt.

What jobs in the US pay $300,000 a year?

Data Modelers with extensive experience, advanced skills in data architecture, and certifications such as Certified Data Management Professional (CDMP) can reach salaries around $300,000 annually, especially in senior or specialized roles within large organizations. High-paying roles often require expertise in database design, programming, and familiarity with tools like SQL, Python, or cloud platforms, along with a strong understanding of business needs and data governance.
More about Data Modeler jobs
What are the most commonly searched types of Data Modeler jobs in Wisconsin? The most popular types of Data Modeler jobs in Wisconsin are:
What are popular job titles related to Data Modeler jobs in Wisconsin? For Data Modeler jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Modeler jobs in Wisconsin look for? The top searched job categories for Data Modeler jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Modeler jobs? Cities in Wisconsin with the most Data Modeler job openings:
What are popular job titles related to Data Modeler jobs in WI? For Data Modeler jobs in WI, the most frequently searched job titles are:
Data Modeler jobs near you
Infographic showing various Data Modeler job openings in Wisconsin as of June 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $123,265 per year, or $59.3 per hour.

Data Engineer

Bespoke Labs

Kenosha, WI • On-site

$113K - $136K/yr

Full-time

Posted 8 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of data engineering experience — pipelines, ETL, data modeling in production or research settings

Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure — observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

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