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Data Modeler Jobs in Chicago, IL (NOW HIRING)

Data Modeler

Chicago, IL · Remote

$56 - $72.75/hr

Senior Data Modeler Location: Remote (Prefer PST, 2nd Preference CST) USA Experience: Minimum 10+ years As a Senior Data Modeler you will lead data modeling initiatives, support migration to Azure ...

Data Modeler

Chicago, IL · On-site

$56.50 - $73.25/hr

Senior Data Modeler Location: Remote (Prefer PST, 2nd Preference CST) Experience: Minimum 10+ years As a Senior Data Modeler you will lead data modeling initiatives, support migration to Azure ...

Semantic Data Modeler

Chicago, IL · On-site

$56.50 - $73.25/hr

Semantic Data Modeler Chicago, IL (3 days/Week) Semantic Data Modeler is responsible for designing, developing, and managing semantic data models, ontologies, taxonomies, and knowledge graph ...

Semantic Data Modeler

Chicago, IL · On-site

$56.50 - $73.25/hr

Semantic Data Modeler Experience: - Minimum 8+ Years Location: - Chicago, IL (3 days/Week) Semantic Data Modeler is responsible for designing, developing, and managing semantic data models ...

Data Modeler (CPLEX)

Chicago, IL · On-site

$56.50 - $73.25/hr

Data Modeler - Experience: Minimum 3-5 years as a Data Modeler - CPLEX Experience: Required; must have hands-on experience with IBM CPLEX for optimization - Model Enhancement: Responsible for ...

New

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 ...

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 ...

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 ...

Manager, Ontology & Data Modeling

Chicago, IL

$56.50 - $73.25/hr

Manager, Ontology & Data Modeling The role of the Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. The ...

Quantitative Modeler Manager - AML

Chicago, IL

$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 ...

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

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 ...

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Data Modeler information

See Chicago, IL salary details

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$60

$85

How much do data modeler jobs pay per hour?

As of Jul 30, 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 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.

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 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 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:
What are popular job titles related to Data Modeler jobs in Chicago, IL? For Data Modeler jobs in Chicago, IL, the most frequently searched job titles are:
What cities near Chicago, IL are hiring for Data Modeler jobs? Cities near Chicago, IL with the most Data Modeler job openings:
Infographic showing various Data Modeler job openings in Chicago, IL as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $125,903 per year, or $60.5 per hour.

$56.50 - $73.25/hr

Full-time

This job post has expired today. Applications are no longer accepted.


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).