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Data Modeler Jobs in Chicago, IL (NOW HIRING)

Data Architect | US

Chicago, IL · On-site

$65.75 - $84.50/hr

The role involves designing business data models, defining data architecture frameworks, and mentoring a team of data engineers and analysts. Responsibilities : • Design the business data model ...

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.

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... data models and governance practices, including privacy controls such as PII masking and tokenization. • Apply software development best practices--including version control, unit testing, and CI ...

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 ...

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 ...

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 ...

Data Analyst

Chicago, IL · On-site

$187K/yr

You will bridge the gap between complex raw data and scalable business KPIs, ensuring that our analytical models are high-performing, governed, and accurate. Beyond technical execution, you will act ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... data models and governance practices, including privacy controls such as PII masking and tokenization. • Apply software development best practices--including version control, unit testing, and CI ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... data models and governance practices, including privacy controls such as PII masking and tokenization. • Apply software development best practices--including version control, unit testing, and CI ...

Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

... modeling, integration, migration, governance, security, and data consumption. • Review and approve data architecture designs to ensure compliance with enterprise standards. • Provide ...

Data Architect | US

Chicago, IL · On-site

$175K - $225K/yr

Business data modeling * Trade-offs between different modeling philosophies - dimensional, 3NF, Data Vault * Conceptual vs physical modeling * Modeling techniques such as inheritance, parent / child ...

Data Engineering Principal

Chicago, IL · On-site

$150 - $210/hr

Design and build standardized data models that normalize complex, customer- and source-specific data (MongoDB, Postgres, Firestore, carrier and customer systems) into trusted schemas for pricing ...

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Data Architect- Wealth Management

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 ...

AI Data Solutions Architect

Lincolnshire, IL · On-site

$67 - $86.25/hr

Develop data models, pipelines, and integration patterns across structured and unstructured data sources (e.g. Snowflake, Postgres, Azure, BigQuery, etc.) for consumption by AI/ML. * Design and ...

Data Architect- Wealth Management

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 ...

Showing results 41-60

Data Modeler information

See Chicago, IL salary details

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How much do data modeler jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for 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 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 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 job categories do people searching Data Modeler jobs in Chicago, IL look for? The top searched job categories for Data Modeler jobs in Chicago, IL 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 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 16 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.