1

Data Modeler Jobs in Milwaukee, WI (NOW HIRING)

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 ...

Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. As part of the Data and ...

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 ...

As a Manager you can lead the development of data models, support compliance with data governance policies, and collaborate with business stakeholders to translate data requirements into technical ...

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

... data models, schemas, and documentationPartner with data analysts and stakeholders to understand data needsSupport data quality, reliability, and governance initiativesFollow best practices for ...

Data Solution Architect

Milwaukee, WI · On-site

$123K - $234K/yr

Apply best practices in dimensional modeling to create robust and scalable data models for analytics and reporting. * Leverage tools such as Python, dbt, and SQL to develop advanced data ...

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 ...

Sr. Data Analyst

Waukesha, WI · On-site +1

$86K - $108K/yr

The Senior Data Analyst designs and develops enterprise reporting solutions, dashboards, data models, and analytics frameworks while helping establish data governance standards and best practices.

CLA is looking to hire a Manger of Data Science This role constructs complex solutions that integrate data wrangling, visualization, and advanced modeling techniques into a seamless workflow using ...

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 ...

Create custom data models & create pipelines and algorithms as needed & produce Data insights * Assists with data and information gathering for targeted variables in an established systematic fashion ...

Showing results 21-40

Data Modeler information

See Milwaukee, WI salary details

$9

$56

$80

How much do data modeler jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data modeler in Milwaukee, WI is $56.74, according to ZipRecruiter salary data. Most workers in this role earn between $50.87 and $65.96 per hour, depending on experience, location, and employer.

What is a data modeler?

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?

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 does a data modeler do?

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 are the most commonly searched types of Data Modeler jobs in Milwaukee, WI? The most popular types of Data Modeler jobs in Milwaukee, WI are:
What are popular job titles related to Data Modeler jobs in Milwaukee, WI? For Data Modeler jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Data Modeler jobs in Milwaukee, WI look for? The top searched job categories for Data Modeler jobs in Milwaukee, WI are:
Infographic showing various Data Modeler job openings in Milwaukee, WI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,024 per year, or $56.7 per hour.

Data Engineer

Bespoke Labs

Milwaukee, WI • On-site

$112K - $135K/yr

Full-time

Re-posted 20 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