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Data Modeler Jobs in Wisconsin (NOW HIRING)

Lund Boats

Digital Surface Modeler

Fond Du Lac, WI

$86K - $126K/yr

Balance multiple CAD projects, Data management responsibilities, and understanding engineering ... models. * Exceptionally strong proficiency with Autodesk Alias software * Strong portfolio ...

Society Insurance

Data Architect

North Fond Du Lac, WI · On-site

$62.75 - $80.75/hr

Establishes and enforces data modeling standards (logical, physical, dimensional) across systems and domains. * Designs and optimizes data ingestion, transformation, and integration patterns (ETL/ELT ...

New

Society Insurance Company

Data Architect

Fond Du Lac, WI · On-site

$62.75 - $80.75/hr

Establishes and enforces data modeling standards (logical, physical, dimensional) across systems and domains. * Designs and optimizes data ingestion, transformation, and integration patterns (ETL/ELT ...

Brunswick

Digital Surface Modeler

Fond Du Lac, WI · On-site

$86K - $126K/yr

Balance multiple CAD projects, Data management responsibilities, and understanding engineering ... models. * Exceptionally strong proficiency with Autodesk Alias software * Strong portfolio ...

Princeton IT Services

AWS Data Architect

Neenah, WI · On-site

$64.50 - $82.75/hr

The ideal candidate will bring deep expertise in AWS cloud services, data modeling, data lakes, ETL/ELT pipelines, and big data ecosystems , and will work closely with engineering and business teams ...

Princeton IT Services

AWS Data Architect

Neenah, WI · On-site

$64.50 - $82.75/hr

The ideal candidate will have strong expertise in AWS services, data modeling, data lakes, ETL pipelines, and modern big data ecosystems. Open to candidates willing to relocate to Wisconsin Key ...

Baker Tilly US

Data Solution Architect

Madison, WI · On-site

... models for analytics and reporting. • Leverage tools such as Python, dbt, and SQL to develop advanced data transformation and integration processes. • Optimize data storage and retrieval ...

Bespoke Labs

Data Engineer

Menomonie, WI · On-site

$113K - $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 ...

Bespoke Labs

Data Engineer

Racine, WI · On-site

$107K - $128K/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

Madison, WI · On-site

$115K - $138K/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

Whitewater, 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 ...

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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.
Principal Data Architect - Data Platforms

Principal Data Architect - Data Platforms

Russell Investments

Milwaukee, WI • Hybrid

$160K - $190K/yr

Other

Medical, Retirement, PTO

Posted 21 days ago

Job description

Salary Range:$160,000 USD - $190,000 USD

Specific compensation will be based on candidate's experience, skills, qualifications,commercial considerations, and other job-related factors permitted by law. At RussellInvestments, salary is just one part of our compensation package. Our total rewardsapproach includes an annual performance bonus (subject to eligibility criteria) in addition toparticipation in our competitive benefits programs including healthcare, retirement, vacation,and wellbeing programs.


Job Description:

Principal Data Architect - Data Platforms

Russell Investments is seeking a hands-on Principal Data Architect to design and build modern data platforms across our enterprise. This role is focused on practical architecture, data modeling, and platform implementation in a hybrid (on-prem + cloud) environment.

You will work closely with engineering, analytics, and platform teams to design scalable data solutions, modernize legacy systems, and enable high-quality data for analytics and AI/ML use cases.

Key Responsibilities

  • Design and implement scalable data architectures, models, and pipelines for analytics and operational use cases.
  • Build and optimize data warehouse and lakehouse solutions using modern cloud platforms (Snowflake, Databricks, Azure).
  • Lead hands-on data modeling (3NF, dimensional, Data Vault) to ensure performance, consistency, and reuse.
  • Execute migration of legacy systems (SQL Server, on-prem) to cloud-based architectures, including hybrid patterns.
  • Implement data quality, MDM, and governance standards directly within data pipelines and models.
  • Enable AI/ML use cases by designing reliable, well-structured, and observable data pipelines.
  • Collaborate with engineering and analytics teams to deliver production-ready data solutions and guide technical design.

Qualifications

Required:

  • 10+ years of hands-on experience in data architecture or data engineering
  • Strong expertise in SQL and relational databases (SQL Server preferred)
  • Experience building data pipelines using DBT (3+ years preferred)
  • 5+ years of Proven experience designing and implementing cloud data platforms (Azure preferred)
  • Deep knowledge of data modeling (3NF, dimensional, Data Vault)
  • Experience with data warehouse/lakehouse design and optimization
  • Hands-on experience with data migration and hybrid architectures
  • Excellent communication and stakeholder management across technical and business domains with a demonstrated ability to translate architecture into business outcomes.

Preferred:

  • Experience with Snowflake, Databricks, Spark, or Python
  • Familiarity with data quality, observability, and governance tools
  • Exposure to AI/ML data pipelines or MLOps frameworks
  • Financial services or investment domain experience

This role is not eligible for employment-based immigration sponsorship. Applicants must be legally authorized to work in the United States without employer sponsorship, now or in the future.

Equal Employment Opportunity

Russell Investmentsis committed to providing equal employment opportunities for all associates and employment applicants regardless of race, religion, ancestry, creed, color, gender (including gender identity which refers to a person's actual or perceived sex, and includes self-image, appearance, behavior or expression, whether or not different from that traditionally associated with a person's biological sex), age, national origin, citizenship status, disability, medical condition, military status, veteran status, marital status, sexual orientation, past or present unemployment status , or any other characteristic protected by law.

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