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Data Modeler Jobs in Chicago, IL (NOW HIRING)

Tempus

Senior Data Modeler

Chicago, IL · On-site

$120K - $170K/yr

Manage an enterprise data model in collaboration with clinicians, data scientists, engineers, product managers, and operators to integrate clinical data from source systems in multiple complex ...

Tempus

Senior Data Modeler

Chicago, IL · On-site

$120K - $170K/yr

Manage an enterprise data model in collaboration with clinicians, data scientists, engineers, product managers, and operators to integrate clinical data from source systems in multiple complex ...

TIAA

Sales Distribution Data Modeler

Chicago, IL · On-site

$56.50 - $73.25/hr

Owns the end-to-end data architecture of the Snowflake platform, including conceptual, logical, and physical data models that represent asset management sales and marketing operations across ...

TIAA

Sales Distribution Data Modeler

Chicago, IL

$56.50 - $73.25/hr

Owns the end-to-end data architecture of the Snowflake platform, including conceptual, logical, and physical data models that represent asset management sales and marketing operations across ...

IT America Inc

Data Modeler (P&C Insurance)

Chicago, IL · On-site

$56.50 - $73.25/hr

Data Modeler Location: Chicago, IL Duration: Long term contract Note: Property and Casualty Insurance (P&C) experience is mandatory The Data Modeler role works with stakeholders across technology and ...

US Bank

Quantitative Modeler Manager - AML

Chicago, IL · On-site

$56.50 - $73.25/hr

Driving the full model-development lifecycle, from data exploration to pilot to production level models. * Creating robust model development documentation specific to U.S. Bank Model Risk Governance ...

CDM Smith

Building Information Modeler (BIM) 4

Chicago, IL · On-site

$56.50 - $73.25/hr

... data, initiating basic design tasks, verifying intelligent model integrity, plotting drawings, assembling drawing packages, preparing transmittals, preparing overnight packages, file management and ...

CDM Smith

Building Information Modeler (BIM) 4

Chicago, IL · On-site

$56.50 - $73.25/hr

... data, initiating basic design tasks, verifying intelligent model integrity, plotting drawings, assembling drawing packages, preparing transmittals, preparing overnight packages, file management and ...

blueStone

Sr. Data Analyst

Chicago, IL · Remote

$88K - $111K/yr

Data modeler/analyst must have strong knowledge of star schema and snow flake schema * Data modeler/analyst must have good experience in rational database systems and architecture. * Data modeler ...

Sonsoft Inc

MongoDB WithNoSQL (USC & GC ONLY)

Bolingbrook, IL · On-site

$54.25 - $70.25/hr

Experience in Relational Data modeling, Database performance tuning, * Application Integration, Database planning is an added advantage. * Up-to-date on key trends and understands market dynamics and ...

Allcon, Inc.

Data Analyst

Chicago, IL

MUST HAVE: * 5+ years experience in Data Analysis * 3+ years experience with Hadoop * 3+ years experience Data modeling * 3+ years data warehousing * 3+ years Business Analyst experience * In-depth ...

Allcon, Inc.

Data Analyst

Chicago, IL · On-site

MUST HAVE: * 5+ years experience in Data Analysis * 3+ years experience with Hadoop * 3+ years experience Data modeling * 3+ years data warehousing * 3+ years Business Analyst experience * In-depth ...

Roadrunner

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

Build and maintain SSAS tabular models, including data modeling, DAX calculations, relationships, partitions, and row-level security. * Develop complex SQL queries, stored procedures, views, and ...

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Data Modeler information

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How much do data modeler jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for data modeler in Chicago, IL is $60.53, according to ZipRecruiter salary data. Most workers in this role earn between $54.28 and $70.38 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.

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 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 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.

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.
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Data Modeler jobs near you
Infographic showing various Data Modeler job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $125,903 per year, or $60.5 per hour.

Data Modeler

Chicago, IL • On-site

Texas State Library and Archives Commision
Libraries and Archives • 201 - 500 employees
Learn more about Texas State Library and Archives Commisionexternal

$56.50 - $73.25/hr

Full-time

Re-posted 9 days ago

Job description

JD:
  • Design and develop data models that effectively support the financial firm's data management, analytics, and reporting goals.
  • Collaborate with data architects, data analysts, and business units to understand data requirements and translate them into data models.
  • Perform rigorous data analysis to understand the data nuances and apply learnings to data models and data designs.
  • Work with the business team to design conceptual and logical data models, data flows, data designs and source-to-target data mapping.
  • Collaborate with Business teams and Data Stewards to determine and manage data cleaning requirements, data security needs and implement security solutions as part of the data designs.
  • Develop data model designs iteratively in an agile fashion incorporating collaboration, iteration, feedback, and continuous improvement throughout the data modeling lifecycle.
  • Ensure that data models comply with financial regulations, data governance policies, and industry standards.
  • Validate data models for data integrity, accuracy, and consistency.
  • Assist in the selection and implementation of data modeling tools and methodologies.
  • Assist in defining and implementing data standards for systems and applications including data object naming conventions, data standardization, data integrity, and data usage.
  • Work closely with the Data Modeling Lead to align data models with the overall data strategy of the company
  • Facilitate integration of data models into data warehousing, reporting, and analytics solutions
  • Assist in defining data dictionary and business glossary to ensure consistent terminology and information across the organization.
  • Collaborate with data governance teams and data stewards to document data models including data dictionaries, data lineage, and metadata.
  • Provide input to data governance teams to ensure that data models align with data governance policies and standards.
  • Responsible for the development of the conceptual, logical, and physical data models
  • Implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms
  • Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
  • Hands-on modeling, design, configuration, installation, performance tuning,
  • Solid experience in Data Vault modeling approach.
  • Solid experience in dimensional modeling with a proven track record of designing conformed dimensions that are applicable across various Business Units.
  • Solid experience in data modeling tools such as Erwin, PowerDesigner, IBM Data Architect, or Oracle Designer.
  • Strong Financial and Insurance industry domain knowledge.
  • Experience in data governance and data management and using tools such as Alation, Collibra, Informatica, Atlan, IBM IGC.
  • Strong experience working in data lake, data lake house, data warehouse, data mesh, and operational data stores.
  • Experience designing models to be leveraged for data as a product and data marketplace.
  • Proficiency in developing data designs, data mapping and data flow logic to support the implementation of data structures designed.
  • Strong experience in data governance and data management.
  • Experience in a metadata field of work (ontology, taxonomy, or semantics).
  • Knowledge of W3C standards including linked and canonical data and ontologies (JSON, XML, RDF, RDFS, OWL, and SKOS).

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