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Epic Data Model Jobs (NOW HIRING)

Data Systems Manager

Springfield, MA · On-site

$90K - $110K/yr

Hands-on experience with Epic Clarity and/or Caboodle * Strong Power BI experience, including data modeling and dashboard development * Prior experience as a manager or team lead , with ...

EPIC Data Model Certification Experience with: SQL server, Crystal Reports, Clarity, Cognos, Business Objects, all Microsoft Office products Familiarity with Professional Healthcare billing Bachelor ...

Experience in Epic Caboodle Received Claims data model Understanding of Patient Care, HEDIS, Engagement, Care Coordination, Value based care, risk sharing models. Expert in EMR data, claims data ...

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Epic Data Model information

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How much do epic data model jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for epic data model in the United States is $56.25, according to ZipRecruiter salary data. Most workers in this role earn between $47.60 and $67.31 per hour, depending on experience, location, and employer.

Is it hard to get hired at Epic Data Model?

Getting hired for a role involving Epic data modeling typically requires relevant experience with Epic systems, data analysis skills, and knowledge of healthcare data standards. The hiring process can be competitive, often involving technical assessments and interviews to evaluate technical proficiency and understanding of healthcare data workflows.

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 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 some 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 is the highest paid Epic analyst?

The highest paid Epic analysts typically have extensive experience, advanced certifications, and expertise in Epic's electronic health record systems. Senior Epic analysts or those in leadership roles can earn salaries exceeding $100,000 annually, depending on location and organization size. Compensation also varies based on skills in specific modules and proficiency with Epic tools.

What are Epic data models?

Epic data models are structured representations of healthcare data used within Epic electronic health record (EHR) systems. They define how clinical, administrative, and financial information is organized, enabling efficient data management, interoperability, and reporting. Knowledge of data modeling, healthcare standards, and Epic's tools is essential for professionals working with these models.

How much do data modelers make?

Data modelers typically earn a median salary ranging from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data architecture, SQL, and data modeling tools like ERwin or PowerDesigner tend to earn higher salaries, especially in larger organizations or tech hubs.
More about Epic Data Model jobs
What cities are hiring for Epic Data Model jobs? Cities with the most Epic Data Model job openings:
What states have the most Epic Data Model jobs? States with the most job openings for Epic Data Model jobs include:
Infographic showing various Epic Data Model job openings in the United States as of July 2026, with employment types broken down into 3% As Needed, 62% Full Time, 32% Part Time, and 3% Contract. Highlights an 78% In-person, 6% Hybrid, and 16% Remote job distribution, with an average salary of $117,000 per year, or $56.2 per hour.
Data Systems Manager

Data Systems Manager

CFS

Springfield, MA • On-site

$90K - $110K/yr

Full-time

Posted 6 days ago


Job description

Data Systems Manager (on-site)
Salary: $90,000 - $110,000
Experience: 3–5 years
Focus: Epic | Power BI | Team Leadership
Role Overview
We are seeking a Data Manager to lead data systems, reporting, and analytics efforts within a large, shared Epic environment supporting community health organizations. This role combines hands-on Epic data and BI expertise with people leadership, ensuring reliable access to clinical, operational, and financial insights across the organization.
Key Responsibilities
  • Manage and support Epic data environments, including Clarity, Caboodle, and related SQL-based reporting platforms
  • Oversee dashboards and reporting solutions using Power BI, ensuring accuracy, performance, and consistency
  • Lead, mentor, and support a small team of analysts or developers (manager or team lead experience required)
  • Partner with clinical, operational, and leadership stakeholders to translate reporting needs into scalable data solutions
  • Support data governance, reporting standards, and best practices across Epic tools (Reporting Workbench, SlicerDicer, extracts)
  • Ensure reliable data delivery to support quality measures, population health initiatives, and operational reporting for FQHC and community health settings
Required Qualifications
  • 3–5 years of experience as a director or data team lead
  • Hands-on experience with Epic Clarity and/or Caboodle
  • Strong Power BI experience, including data modeling and dashboard development
  • Prior experience as a manager or team lead, with responsibility for mentoring or overseeing others
  • Solid SQL skills and experience supporting healthcare reporting or analytics
  • Understanding of healthcare data, clinical workflows, and reporting needs in community health or FQHC environments
Nice to Have
  • Experience supporting multi-tenant or shared Epic environments
  • Familiarity with population health, quality measures, or social drivers of health reporting
  • Background working with nonprofit or community health organizations
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