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Associate Data Modeler Jobs in Chicago, IL (NOW HIRING)

Associate Data Engineer

Naperville, IL ยท Remote

$114K - $137K/yr

About the Role We're looking for an Associate Data Engineer to join our team and help make data ... data models * Run data quality checks to ensure accuracy and consistency * Use tools like ...

Manager, Ontology & Data Modeling

Chicago, IL ยท On-site

$56.50 - $73.25/hr

Contribute to team culture and recruiting by leading activities to attract and retain top talent and mentoring and developing junior ontology and data modeling associates * Manage teams that develop ...

Principal Associate, Data Scientist

Chicago, IL ยท On-site

$60K - $61K/yr

Principal Associate, Data Scientist Data is at the center of everything we do. As a startup, we ... The mission includes optimizing models for highly challenging and expanding segments to improve ...

New

ASSOCIATE, DATA ENGINEER

Chicago, IL ยท On-site

$16.50 - $21.50/hr

Experience building or contributing to data pipelines that feed AI tools, including Model Context Protocol (MCP) servers or similar AI integration frameworks. * Preparing and transforming datasets ...

ASSOCIATE, DATA ENGINEER

Chicago, IL ยท On-site

$85K - $110K/yr

Experience building or contributing to data pipelines that feed AI tools, including Model Context Protocol (MCP) servers or similar AI integration frameworks. * Preparing and transforming datasets ...

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Associate Data Modeler information

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How much do associate data modeler jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for associate data modeler in Chicago, IL is $60.48, according to ZipRecruiter salary data. Most workers in this role earn between $54.23 and $70.34 per hour, depending on experience, location, and employer.

What is an associate data modeler?

An Associate Data Modeler is an entry-level professional who assists in designing, creating, and maintaining data models that define how data is structured and used within an organization. They work closely with senior data modelers, database administrators, and business analysts to ensure data models accurately reflect business needs and support data integrity. Responsibilities often include developing entity-relationship diagrams, documenting data definitions, and helping to translate business requirements into technical specifications. This role is important in supporting data-driven decision making and efficient database design.

What is the difference between Associate Data Modeler vs Data Analyst?

AspectAssociate Data ModelerData Analyst
Required CredentialsBachelor's in CS, IT, or related field; familiarity with data modeling toolsBachelor's in Statistics, Math, or related; proficiency in data analysis tools
Work EnvironmentData teams, IT departments, database environmentsBusiness units, reporting teams, data visualization settings
Employer & Industry UsageTech, finance, healthcare, and data-driven industriesMarketing, finance, healthcare, and business sectors

The Associate Data Modeler focuses on designing and maintaining data structures and models, working closely with database systems. In contrast, a Data Analyst interprets data, creates reports, and provides insights. While both roles require data-related skills, the Associate Data Modeler emphasizes data architecture, whereas the Data Analyst emphasizes data interpretation and reporting.

What are the key skills and qualifications needed to thrive as an associate data modeler, and why are they important?

To thrive as an Associate Data Modeler, you need a solid understanding of database design principles, data analysis, and proficiency in SQL, often supported by a degree in computer science or a related field. Familiarity with data modeling tools like ERwin, Microsoft Visio, or IBM InfoSphere, as well as knowledge of relational database management systems (RDBMS), is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret business requirements and collaborate with technical teams. These competencies ensure accurate data representation, efficient database structures, and alignment with organizational data needs.

What are some typical projects or tasks that an associate data modeler might work on in the first year?

As an Associate Data Modeler, you can expect to support senior data modelers and data architects in designing, developing, and maintaining data models for various business applications. Typical projects include translating business requirements into logical and physical data models, normalizing data structures, and assisting in data mapping or integration efforts. You may also participate in data governance initiatives, review existing data models for optimization, and collaborate with cross-functional teams such as business analysts, database developers, and IT staff. These experiences will help you build a strong foundation for more advanced data architecture roles in the future.
What are the most commonly searched types of Data Modeler jobs in Chicago, IL? The most popular types of Data Modeler jobs in Chicago, IL are:
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What job categories do people searching Associate Data Modeler jobs in Chicago, IL look for? The top searched job categories for Associate Data Modeler jobs in Chicago, IL are:
Infographic showing various Associate Data Modeler job openings in Chicago, IL as of July 2026, with employment types broken down into 1% As Needed, 67% Full Time, 30% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $125,804 per year, or $60.5 per hour.

Associate Data Engineer

Cohort AI Inc.

Naperville, IL โ€ข Remote

$114K - $137K/yr

Full-time

Re-posted 4 days ago


Job description

About the Role

Weโ€™re looking for an Associate Data Engineer to join our team and help make data reliable, usable, and impactful.

In this role, youโ€™ll work closely with different teams to bring in new datasets, clean and transform them, and make sure theyโ€™re ready for analysis. A big part of your work will involve building and maintaining data pipelines, mapping data into standard formats, and ensuring everything runs smoothly behind the scenes.

This is a great opportunity if youโ€™re early in your data engineering career and enjoy working hands-on with data, solving real-world problems, and learning how large-scale data systems operateโ€”especially in the healthcare space.

Responsibilities:
  • Build and maintain data pipelines to ingest, transform, and organize data from multiple sources

  • Work with clinical, claims, or similar structured datasets and map them into standardized data models

  • Run data quality checks to ensure accuracy and consistency

  • Use tools like Databricks, BigQuery, Redshift, dbt, and command-line utilities

  • Collaborate with cross-functional teams including data, product, and business stakeholders

  • Help maintain ongoing data refresh processes and troubleshoot pipeline issues when needed

Needed:
  • Bachelorโ€™s degree in Computer Science or a related field (or equivalent hands-on experience)

  • Strong working knowledge of SQL

  • Familiarity with Python, PySpark, or SparkSQL

  • Experience with modern data platforms like Databricks, Snowflake, or BigQuery

  • Comfort working in a remote, collaborative environment

  • Based in the United States (preferred time zones: Central, Mountain, or Pacific)