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Data Modeling Jobs in Chicago, IL (NOW HIRING)

West Monroe

Data Architect

Chicago, IL · On-site

$167K - $196K/yr

Expertise in data modeling, ETL processes, and data pipeline development. * Extensive experience with modern data platforms: Databricks and/or Snowflake preferred * Experience with data modeling and ...

IMC Trading

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

They are seeking a dedicated and experienced Data Engineer to architect and develop their Big Data environment while ensuring data integrity and collaborating with teams on data modeling.

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 ...

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 ...

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 ...

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 ...

Sralab

Data Engineers

Chicago, IL

$118K - $141K/yr

Participate in data and information model design across multiple stakeholders. * Technical environment: Implementation of data security standards in line with HIPAA requirements, SQL, SQL server ...

Shirley Ryan AbilityLab

Data Engineers

Chicago, IL · On-site

$118K - $141K/yr

Participate in data and information model design across multiple stakeholders. * Technical environment: Implementation of data security standards in line with HIPAA requirements, SQL, SQL server ...

Digital Links Inc

Data Architect

Naperville, IL · On-site

$63.75 - $82/hr

Design models for clients, households, accounts, portfolios, holdings, transactions, and advisor relationships. Establish enterprise standards for data ingestion, transformation, storage, 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 ...

UL Solutions

Data Scientist

Northbrook, IL · On-site

Use data modeling and evaluation strategies to identify patterns and accurately predict unseen or future instances. * Collaborate with business and technical stakeholders to align analytical ...

Solomon Page

Senior Data Engineer

Chicago, IL · On-site

$65 - $80/hr

Develop source-to-target mappings for the canonical marketing data model. * Translate identity resolution rules, survivorship logic, source hierarchy, field ownership, account relationships, and ...

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All JobsData Modeling JobsData Modeling Jobs in Chicago, IL

Data Modeling information

See Chicago, IL salary details

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How much do data modeling jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data modeling 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 do data modelers do?

Data modelers design and create data structures and schemas to organize and define how data is stored, accessed, and managed within databases. They analyze business requirements, develop data models using tools like ER diagrams, and ensure data consistency and integrity, often working with database management systems and data governance standards.

What are the key skills and qualifications needed to thrive in data modeling, and why are they important?

To thrive in Data Modeling, you need strong analytical skills, proficiency in database design, and a solid understanding of data structures, usually supported by a degree in computer science, information systems, or a related field. Expertise with tools such as ERwin, SQL, PowerDesigner, or similar data modeling software, as well as knowledge of normalization techniques and experience with data warehousing concepts, are highly valued. Effective communication, attention to detail, and problem-solving abilities set outstanding data modelers apart, allowing them to convey complex concepts to both technical and non-technical stakeholders. These skills are vital for building accurate, scalable data models that serve as the foundation for reliable data-driven decision-making within organizations.

What is a data modeling?

A Data Modeling job involves designing and structuring data to ensure it is organized, efficient, and scalable for business needs. Data modelers create conceptual, logical, and physical data models that define relationships between data elements. They work closely with database administrators, data engineers, and analysts to optimize data storage and retrieval. Their role is crucial for maintaining data integrity and supporting business intelligence and analytics initiatives. Skills in SQL, database design, and data normalization are essential for success in this role.

How much do data modelers make?

Data modelers typically earn a median annual salary between $70,000 and $110,000, depending on experience, location, and industry. Senior data modelers with advanced skills in database design and data warehousing can earn higher salaries, often exceeding $120,000. Certifications in data management and proficiency with tools like SQL and ER modeling can also influence compensation.

What does a typical day look like for someone working in data modeling?

A typical day in Data Modeling often involves collaborating with business analysts, database administrators, and software developers to understand data requirements and translate them into logical and physical data structures. Data modelers spend time designing, reviewing, and optimizing data models, ensuring accuracy and consistency across systems and projects. They also review data flows, document data dictionaries, and participate in meetings to align data architecture with overall business needs. The role frequently requires balancing independent technical work with teamwork, as well as responding to feedback and evolving project requirements to support organizational goals.

What is a data modeling job?

A data modeling job involves designing and creating data structures, such as databases and schemas, to organize and store information efficiently. Data modelers use tools like ER diagrams and work with programming languages and database management systems to ensure data integrity and accessibility.
What are the most commonly searched types of Data Modeling jobs in Chicago, IL? The most popular types of Data Modeling jobs in Chicago, IL are:
What are popular job titles related to Data Modeling jobs in Chicago, IL? For Data Modeling jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Data Modeling jobs in Chicago, IL look for? The top searched job categories for Data Modeling jobs in Chicago, IL are:
Data Modeling jobs near you
Infographic showing various Data Modeling job openings in Chicago, IL 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 $125,804 per year, or $60.5 per hour.

Enterprise Data Architect

ampliFI Loyalty Solutions

Naperville, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description

Overview
As the Enterprise Data Architect at ampliFI, you will play a critical role in defining the overall data architecture and ensuring ampliFI's data systems are designed for scalability, performance, and security. You'll serve as the primary architectural authority for data modeling, warehousing, and analytics platforms, helping guide the modernization of ampliFI's loyalty, rewards, and payments data solutions.
This position combines strategic leadership with deep technical expertise, ensuring ampliFI's technology investments align with enterprise goals and deliver measurable business impact.
Responsibilities
  • Define and maintain ampliFI's data architecture strategy, ensuring alignment between business goals and technical data execution.
  • Serve as the principal architect for ampliFI's data platforms, with a strong focus on AWS data services, ETL processes, and distributed data design.
  • Partner closely with engineering and product teams to architect scalable data warehouses and performant database systems that power ampliFI's loyalty solutions.
  • Establish standards for data modeling, metadata management, and data exchange, ensuring consistency across relational and NoSQL databases.
  • Drive data modernization initiatives, including migration from legacy data structures to AWS-native architectures leveraging RDS, DynamoDB, Athena, and S3.
  • Collaborate with DevOps teams to strengthen data pipeline automation and observability using Terraform and modern data integration tools.
  • Provide architectural guidance for high-volume transactional data systems that support loyalty point accruals and merchant-funded offers.
  • Partner with Security teams to ensure data privacy compliance, encryption, and data resiliency best practices across the technology stack.
  • Lead data design reviews, provide mentorship to data engineers, and champion modern data engineering practices across teams.
  • Support the CIO in defining data roadmaps, evaluating emerging analytics tools, and ensuring ampliFI's data architecture evolves with business needs.

Essential Skills and Experience
  • 10+ years of progressive experience in data architecture, with proven experience designing large-scale, cloud-based data systems.
  • Deep expertise in AWS data architecture - including DynamoDB, RDS, Athena, S3, Iceberg, Snowflake, and Glue.
  • Extensive experience in data modeling (ERD, Dimensional Modeling) and ETL/ELT pipeline design.
  • Hands-on knowledge of Python, SQL, or Java for data processing in modern distributed environments.
  • Strong understanding of NoSQL and RDBMS management using MySQL, PostgreSQL, and DynamoDB.
  • Solid understanding of data quality automation and performance tuning for high-volume databases.
  • Experience in loyalty, rewards, payments, or financial services ecosystems strongly preferred.
  • Strong analytical and communication skills with the ability to bridge business and technical priorities.
  • Proven ability to think strategically while remaining hands-on in execution.
  • Experience designing and maintaining data warehouses and data lakes.
  • Experience with EDI (Electronic Data Interchange) file processing.
  • Experience with data reporting and visualization tools, specifically Tableau or similar platforms.
Our Tech Stack
  • Cloud: AWS (ECS, Lambda, Athena, S3, DynamoDB, RDS, CloudWatch)
  • Languages: Java / Spring, Clojure, Python, Typescript / React
  • Data: MySQL, PostgreSQL, DynamoDB, Athena, Tableau
  • Integration: REST APIs, JSON, JWT, SSO
  • DevOps & CI/CD: Git, GitHub/BitBucket Pipelines, Jenkins, Terraform, Automox, JumpCloud
  • QA / Automation: Selenium, Postman, JMeter
  • Project Management: Jira, Confluence

Preferred Skills and Experience
  • Experience leading data governance or data standards across multiple product teams.
  • Exposure to big data frameworks, real-time streaming, and messaging frameworks (e.g., Kafka).
  • Familiarity with data security and compliance frameworks such as PCI-DSS or GDPR.
  • Understanding of large-scale data pipelines and real-time analytics.
  • Ability to mentor technical teams and communicate architectural decisions clearly to both technical and non-technical audiences.

Key Competencies and Attributes
  • Ability to define and implement scalable, cloud-based data architectures that align with business objectives.
  • Deep knowledge of AWS data services, data modeling, ETL/ELT pipelines, databases, and modern data engineering practices.
  • Proven ability to lead architecture initiatives, mentor technical teams, and establish data standards and best practices.
  • Strong communication and partnership skills to work effectively with engineering, product, DevOps, security, and business stakeholders.
  • Strategic thinker with hands-on experience solving complex data challenges, optimizing performance, and driving data modernization initiatives.

Work Arrangement
  • Based at ampliFI's Naperville, IL Corporate office, this hybrid role requires onsite reporting Tuesday-Thursday weekly.
  • National remote opportunities require residency in one of the following states AZ, CO, FL, GA, IL, IN, MA, MT, NC, NE, NH, NJ, NY, OH, PA, SC, TX, UT, VA, or WI.

Physical Requirements
This role involves sitting or standing for extended periods, using computers, phones, and other office equipment. Visual acuity and manual dexterity are needed for reading documents and handling materials. Occasional lifting of items up to 20 lbs. and frequent phone communication is required.
Other Duties
Duties, responsibilities, and activities are not all encompassing and may change at any time with or without notice. To perform this job successfully, an individual must be able to satisfactorily carry out each essential duty. Reasonable accommodation may be made to enable qualified individuals with disabilities to perform essential job functions
The compensation range listed below represents the potential salary for this role at the time of posting. However, the final salary may be higher or lower than the stated range, and this range may be adjusted in the future. An employee's placement within the salary range will depend on various factors, including but not limited to relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any applicable collective bargaining agreements, and the needs of the business or organization. The salary range for this role is $160,000 to $180,000 per year.
About ampliFI
At ampliFI Integrity guides every decision, Curiosity drives innovation, and Advocacy ensures we always put our clients and teammates first. We foster a supportive, fun workplace where your contributions are valued, and your growth is encouraged.
ampliFI provides fully outsourced, customized credit and debit card loyalty programs exclusively focused on banks and credit unions nationwide. For nearly two decades, we have delivered compelling rewards programs, unique earn and burn opportunities and card-linked programs to leverage merchant funded offers. Here at ampliFI, we are always looking for more great people to be a part of the relentless pursuit of excellence in everything we do.
Benefits and Perks
  • Competitive pay plus 401(k) with employer match
  • Medical, dental, vision, and life insurance
  • Voluntary café plans, including voluntary life, accident, hospital, critical care, and parking/transit options
  • Tuition Reimbursement
  • Paid time off, company holidays, and parental leave
  • Employee Assistance Program
  • Hybrid work environment with flexible hours
  • Onsite perks including gym access and snacks
  • Employee recognition programs celebrating milestones and achievements
  • Growth opportunities within a supportive, team-oriented environment

ampliFI Loyalty Solutions embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills because we believe that the more inclusive we are, the greater impact we can make together.

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