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Epic Data Model Jobs in Bolingbrook, IL (NOW HIRING)

Senior Financial Systems Analyst

Chicago, IL · On-site

$88K - $109K/yr

Candidate should be able to develop various data models including risk, predictive, and ... Epic). As a senior analyst, the candidate should be comfortable training junior analysts and ...

Additional Information When You Join Us, We'll Create Something EPIC Together Epsilon is a global ... real-time modeling languages and consumer privacy advancements. Thanks to the work of every ...

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

Additional Information When You Join Us, We'll Create Something EPIC Together Epsilon is a global ... real-time modeling languages and consumer privacy advancements. Thanks to the work of every ...

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Epic Data Model information

See Bolingbrook, IL salary details

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How much do epic data model jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for epic data model in Bolingbrook, IL is $55.62, according to ZipRecruiter salary data. Most workers in this role earn between $47.07 and $66.54 per hour, depending on experience, location, and employer.

What is an Epic data model?

An Epic Data Model refers to the structured framework used to organize and store data within the Epic electronic health record (EHR) system. It defines how patient information, clinical workflows, billing details, and other healthcare data are represented and related in Epic’s databases. Understanding the Epic Data Model is essential for reporting, integration, and customization tasks within the Epic EHR environment. Healthcare IT professionals often work with this model to extract meaningful insights and ensure accurate data management across healthcare organizations.

What are common challenges faced by professionals working with the Epic data model, and how can they be addressed?

Professionals working with the Epic Data Model often encounter challenges such as navigating the complex schema, understanding proprietary naming conventions, and ensuring data integrity across interconnected modules. Addressing these challenges typically involves thorough training, leveraging Epic's documentation and user community, and collaborating closely with clinical and IT teams to clarify requirements and workflows. Proactive communication and continuous learning are key to effectively managing these complexities and delivering accurate, actionable insights from the system.

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

To thrive as an Epic Data Modeler, you need a strong background in database design, data analysis, and healthcare informatics, typically supported by a degree in computer science, information systems, or a related field. Familiarity with Epic Systems software, certification in Epic Data Model (such as Clarity or Caboodle), and proficiency in SQL are commonly required. Strong problem-solving, analytical thinking, and effective communication skills are essential for translating clinical requirements into accurate data structures. These skills ensure the efficient management and extraction of healthcare data, enabling informed decision-making and regulatory compliance in clinical environments.

What is the difference between Epic Data Model vs Epic Data Analyst?

AspectEpic Data ModelEpic Data Analyst
Primary RoleDesigns and structures data within Epic systemsAnalyzes data to generate reports and insights from Epic systems
Required SkillsData modeling, database design, Epic system knowledgeData analysis, reporting, Epic system proficiency
Work EnvironmentIT and data management teams in healthcare settingsHealthcare analytics teams, clinical or administrative settings
CertificationsEpic certifications, data modeling credentialsEpic certifications, data analysis certifications

The Epic Data Model focuses on structuring and designing data within Epic systems, while the Epic Data Analyst interprets and reports on that data to support healthcare decision-making. Both roles are essential in healthcare IT, but they serve different functions in data management and analysis.

What are popular job titles related to Epic Data Model jobs in Bolingbrook, IL?

For Epic Data Model jobs in Bolingbrook, IL, the most frequently searched job titles are:

What cities near Bolingbrook, IL are hiring for Epic Data Model jobs?

Cities near Bolingbrook, IL with the most Epic Data Model job openings:

Infographic showing various Epic Data Model job openings in Bolingbrook, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, 34% Hybrid, and 33% Remote job distribution, with an average salary of $115,695 per year, or $55.6 per hour.

Medication and Pharmacy Data Analytics Specialist

Rush University Medical Center

Chicago, IL • Remote

$41.88 - $62.40/hr

Full-time

Posted 2 days ago

New


Rush University Medical Center rating

8.1

Company rating: 8.1 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

120th of 1,061 rated hospitals


Job description

Location: Chicago, Illinois / Remote

Business Unit: Rush Medical Center

Hospital: Rush University Medical Center

Department: System Pharmacy

Work Type: Full Time (Total FTE between 0. 9 and 1. 0)

Shift: Shift 1

Work Schedule: 8 Hr (8:00:00 AM - 4:00:00 PM)

Rush offers exceptional rewards and benefits learn more at our Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits).

Pay Range: $41.88 - $62.40 per hour
Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush’s anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case.

Summary:
Are you passionate about using data to improve patient care, medication safety, and pharmacy operations? Rush University Medical Center is seeking a Medication and Pharmacy Data Analytics Specialist to help transform complex healthcare data into actionable insights that drive clinical, operational, and strategic decision-making across our growing pharmacy enterprise. 

In this highly collaborative role, you will serve as a key partner between Pharmacy Operations, Pharmacy Informatics, Knowledge Management, and Information Technology teams, leveraging data to optimize medication-use processes, improve clinical workflows, and support enterprise-wide pharmacy initiatives. You will design and develop analytics solutions, build and maintain data integrations, create dashboards and reports, and uncover meaningful trends that help improve patient outcomes and operational performance. 

This position is ideal for a data professional who enjoys solving complex problems, working directly with stakeholders, and translating data into compelling stories and actionable recommendations. You'll have the opportunity to work with leading healthcare technologies, electronic health records, pharmacy systems, and advanced analytics tools while helping shape the future of pharmacy services at a nationally recognized academic health system. 

The ideal candidate combines strong technical expertise in healthcare analytics, data management, and reporting with a passion for collaboration, innovation, and continuous improvement. Experience with healthcare data, pharmacy operations, Epic, SQL, Tableau, and data warehousing environments will position you for success in this role. 

Join Rush and play a critical role in advancing data-driven pharmacy care, improving medication safety, and supporting innovative healthcare solutions that make a meaningful difference for patients and providers every day. The identified candidate exemplifies the Rush mission, vision and values and acts in accordance with Rush policies and procedures.

Responsibilities:
Collaborative Problem Solving

  • Produces deliverables for leadership and communicates with all levels of stakeholders.
  • Collaborate with healthcare providers to implement and refine workflows that incorporate pharmaceutical data.

Pharmacy Informatics

  • Continuous improvement of pharmacy-related IT systems, including medication dispensing software, inventory management tools, and automated dispensing technologies.
  • Leverage data to improve medication safety, reduce errors, and enhance clinical decision-making.

Data Management and Integration

  • Gather business and data requirements from stakeholders.
  • Captures, develops, and documents data definitions, business rules, and data quality requirements.
  • Design and maintain databases that store pharmaceutical, clinical, and operational data (e.g., medication records, patient outcomes, drug interactions).
  • Integrate data from various sources such as electronic health records (EHRs), pharmacy management systems, and clinical decision support tools to optimize and automate decision making.

Data Analysis and Reporting

  • Conducts data analysis in support of a variety of analytic solutions.
  • Create and produce forecasts, reports, ad hoc requests, dashboards, etc.
  • Interprets data, analyzes results, create visualizations, and provides insights to determine operational impact, trends, and opportunities to communicate insights to pharmacists, clinicians, and leadership.
  • Produces reports and analytics that facilitate evidence-based clinical, financial, and operational decisions.

Systems Development and Automation

  • Identifies and defines both process and data improvements.
  • Build and maintain systems to process, integrate, and transform data into robust analytics.
  • Create algorithms or models to predict medication utilization.
  • Work with software developers to integrate data solutions into existing healthcare platforms.

Stakeholder, Regulatory and Clinical Support

  • Ensures compliance with deliverable reporting requirements by performing quality data audits and analysis.
  • Ensure data accuracy, security, and compliance with regulations.
  • Provide expertise on drug-related data to support clinical trials, population health management, or precision medicine initiatives.

Required Job Qualifications:

  • Education: Bachelor’s degree in information science, computer science or related field.
  • Experience: 3 years of data analysis, query design, and reporting experience.
  • Experience with test reporting solutions in house reporting solutions, i.e. Tableau, MS SQL Server and Oracle.
  • Experience with reports, dashboards, scorecards using Microsoft SSRS, SSAS, and MDX in a data warehousing environment.
  • Strong analytical, multi-tasking and problem-solving skills.
  • Demonstrated experience in requirements gathering and using relational databases.
  • Ability to perform detailed data analysis (i.e. determine the structure, content, and quality of the data through examination of source systems and data samples).
  • Good visual aesthetic sense relative to report development and presentation to the user.
  • Excellent written and verbal communication, facilitation, and customer facing skills
  • Must have a strong customer service orientation and excellent organizational skills.

Preferred Job Qualifications:

  • Experience: Demonstrated pharmacy experience; Proven experience with data engineering tools and healthcare IT systems (e.g., EHRs like Epic or Cerner).
  • Specialized certification(s): Epic Revenue Data Model, Epic Clinical Data Model Certification, Epic Clarity Data Model Certification, Epic Caboodle (Data Warehouse) Data Model Certification, Epic Cogito Certification, Epic Willow Ambulatory Certification, Epic Willow Inpatient Certification.
  • Microsoft SQL Server, Oracle, T-SQL; PL/SQL.
  • Familiarity with ERP information systems.
  • Familiarity with EMR information systems.

Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.


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