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Epic Data Model Jobs (NOW HIRING)

Understanding of EPIC data model (preferred) Minimum Years of Experience * 8+ years' experience in a data science role (required) * 8+ years' experience in a data engineering, analyst, or ...

Manage an enterprise data model in collaboration with clinicians, data scientists, engineers ... Experience with Epic tables * Experience with HL7 data * Experience writing and debugging Python

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Epic Data Model information

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$32

$56

$70

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.
Senior Data Architect: Clinical Solutions (Local / Hybrid)

Senior Data Architect: Clinical Solutions (Local / Hybrid)

Vanderbilt Health

Nashville, TN • On-site

$65 - $87/hr

Full-time

Medical, Retirement

Re-posted 13 days ago


Vanderbilt University Medical Center rating

7.6

Company rating: 7.6 out of 10

Based on 249 frontline employees who took The Breakroom Quiz

191st of 886 rated healthcare providers


Job description

Discover Vanderbilt University Medical Center: Located in Nashville, Tennessee, and operating at a global crossroads of teaching, discovery, and patient care, VUMC is a community ofindividuals who come to work each day with the simple aim of changing the world. It is a place where your expertise will be valued, your knowledge expanded, and your abilities challenged. Vanderbilt Health is committed to an environment where everyone has the chance to thrive and where your uniquenessis sought and celebrated. It is a place where employees know they are part of something that is bigger than themselves, take exceptional pride in their work and never settle for what was good enough yesterday. Vanderbilt's mission is to advance health and wellness through preeminent programs in patient care, education, and research.

Organization:

HealthIT Systems Intelligence Solutions

Job Summary:

Develops, maintains, and supports data architecture and design standards across the organization, with a focus on scalable, sustainable, and clinically aligned solutions. Partners closely with architecture leadership to ensure data, Epic build, and clinical decision support (CDS) solutions are designed and implemented in alignment with enterprise data platforms and clinical workflows. Operates across data, application, and clinical domains to maximize data utility, enable advanced analytics and AI use cases, and maintain reconcilability across systems.

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KEY RESPONSIBILITIES

  • Partners with other architects to design and implement scalable data and CDS architecture across Systems Intelligence and Health Data Repository (Custom tool) HDR teams.

  • Designs and supports Epic-aligned solutions, including workflows, CDS (CER rules, OPAs), and supporting data structures (Flowsheets, SmartData Elements, Scoring Systems).

  • Ensures alignment between Epic data flows (Chronicles Clarity), downstream data platforms, and enterprise analytics environments (EDW/Databricks).

  • Collaborates with Epic application teams, Epic Architect team, data engineers, and analysts to develop integrated solutions that support clinical and operational workflows.

  • Contributes to architectural standards and promotes consistency, reuse, and long-term maintainability of solutions.

  • Supports development of APIs and integrations, including Epic and enterprise (VUMC) APIs, FHIR, and CDS Hooks where applicable.

  • Leverages SQL and modern data platforms to design, validate, and optimize data solutions.

  • Contributes to innovation efforts, including exploration and implementation of AI/LLM-driven capabilities and advanced analytics use cases.

  • Ensures appropriate documentation, governance, and security of institutional data.

  • The responsibilities listed are a general overview of the position and additional duties may be assigned.

TECHNICAL CAPABILITIES

Epic Architecture & Clinical Systems (Intermediate/Advanced):

  • Demonstrates strong knowledge of Epic workflows and how clinicians interact with the system.

  • Experience with Epic data structures, build (master files, imports/exports), and data flows (Chronicles to Clarity).

  • Familiarity with CDS design and build options (CER rules, OPAs), and Cogito tools (Reporting Workbench).

  • Experience developing integrated solutions across Epic applications; deeper knowledge of Chronicles (m-code) is a plus.

  • Ability to collaborate effectively across multiple Epic application teams.

Data Architecture & Engineering (Intermediate):

  • Experience with data warehousing, data lakes, and modern data platforms (e.g., Databricks, EDW).

  • Strong SQL skills and ability to design efficient, scalable data models and transformations.

  • Understanding of APIs and integration patterns, including Epic APIs and FHIR/CDS Hooks.

Analytics, AI, and Visualization (Intermediate):

  • Familiarity with data visualization and storytelling tools (e.g., Tableau, Databricks dashboards).

  • Interest in and exposure to AI/LLM technologies (agents, prompting, and applied use cases).

  • Working knowledge of programming languages (e.g., Python) preferred.

Collaboration & Business Architecture (Intermediate):

  • Comfortable working across diverse technical, clinical, and operational teams.

  • Ability to translate clinical and business requirements into scalable technical solutions.

  • Contributes to architectural planning and promotes alignment across teams and initiatives.

About the Department:

Health IT

HealthITprovides the best health information technology tools that support Vanderbilt University Medical Center's mission of:

  • Delivering distinctively personalized care

  • Improving the health care of individuals and communities regionally, nationally and internationally

  • Providing transformative learning programs

  • Supporting compelling discoveries

Our tools, which form the digital arteries of VUMC, are either developed in-house by our innovative product teams or selected from the most cutting-edge solutions available in today's ever-changing marketplace. Our 500 colleagues provide ongoing support over each product's entire lifespan, ensuring that the tools are meeting the evolving needs of the Medical Center's 24,000 colleagues.

Our solutions are driven by the incredible work and research of our colleagues throughout Vanderbiltand supported through a close partnership withVUMCInformation Technology (VUMC IT). The strong collaboration among our teams means that VUMC can respond to clinical and operational issues with agility and innovation. Together, we ensure VUMC remains a leader in its pioneering use of healthcare information technology.

Underscoring our entire department are our core values ofaccountability,transparencyand execution,delivered with a strongPartner Promise.

Our professional administrative functions include critical supporting roles in information technology and informatics, finance, administration, legal and community affairs, human resources, communications and marketing, development, facilities, and many more.

At our growing health system, we support each other and encourage excellence among all who are part of our workforce. High-achieving employees stay at Vanderbilt Health for professional growth, appreciation of benefits, and a sense of community and purpose.

    Core Accountabilities:

    Organizational Impact: Independently delivers on objectives with understanding of how they impact the results of own area/team and other related teams. Problem Solving/ Complexity of work: Utilizes multiple sources of data to analyze and resolve complex problems; may take a new perspective on existing solution. Breadth of Knowledge: Has advanced knowledge within a professional area and basic knowledge across related areas. Team Interaction: Acts as a "go-to" resource for colleagues with less experience; may lead small project teams.

    Core Capabilities :

    Supporting Colleagues: - Develops Self and Others: Invests time, energy, and enthusiasm in developing self/others to help improve performance e and gain knowledge in new areas. - Builds and Maintains Relationships: Maintains regular contact with key colleagues and stakeholders using formal and informal opportunities to expand and strengthen relationships. - Communicates Effectively: Recognizes group interactions and modifies one's own communication style to suit different situations and audiences. Delivering Excellent Services: - Serves Others with Compassion: Seeks to understand current and future needs of relevant stakeholders and customizes services to better address them. - Solves Complex Problems: Approaches problems from different angles; Identifies new possibilities to interpret opportunities and develop concrete solutions. - Offers Meaningful Advice and Support: Provides ongoing support and coaching in a constructive manner to increase employees' effectiveness. Ensuring High Quality: - Performs Excellent Work: Engages regularly in formal and informal dialogue about quality; directly addresses quality issues promptly. - Ensures Continuous Improvement: Applies various learning experiences by looking beyond symptoms to uncover underlying causes of problems and identifies ways to resolve them. - Fulfills Safety and Regulatory Requirements: Understands all aspects of providing a safe environment and performs routine safety checks to prevent safety hazards from occurring. Managing Resources Effectively: - Demonstrates Accountability: Demonstrates a sense of ownership, focusing on and driving critical issues to closure. - Stewards Organizational Resources: Applies understanding of the departmental work to effectively manage resources for a department/area. - Makes Data Driven Decisions: Demonstrates strong understanding of the information or data to identify and elevate opportunities. Fostering Innovation: - Generates New Ideas: Proactively identifies new ideas/opportunities from multiple sources or methods to improve processes beyond conventional approaches. - Applies Technology: Demonstrates an enthusiasm for learning new technologies, tools, and procedures to address short-term challenges. - Adapts to Change: Views difficult situations and/or problems as opportunities for improvement; actively embraces change instead of emphasizing negative elements.

    Position Qualifications:

    Responsibilities:

    Certifications:

    Work Experience:

    Relevant Work Experience

    Experience Level:

    5 years

    Education:

    Bachelor's

    This role offers the opportunity to make a meaningful impact within Vanderbilt Health, supported by a comprehensive benefits package which mayinclude health, disability, retirement and/or wellness offerings to enhance your well-being and professional growth.

    Vanderbilt Health is committed tofosteringan environment where everyone has the chance to thrive and is committed to the principles of equal opportunity. EOE/Vets/Disabled.


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