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Epic Data Model Jobs (NOW HIRING)

The Epic Caboodle Developer designs, develops, tests, documents, maintains, and troubleshoots ... Designing data models to meet organization-specific goals and use cases * Leading decisions around ...

Deep expertise in Epic data models, including Clarity. * Strong experience with SQL development and performance tuning in large healthcare databases. * Strong understanding of healthcare workflows ...

Job#: 3038865 Epic Systems Analyst Location: Remote Role Overview This position assists with and ... CDW110 - Caboodle Data Model, CLR110 - Clarity Data Model, COG240 - Clinical Data Model, or COG413i ...

Epic Cogito Certification, Epic Certifications based on role focus - one or more of the following certifications are required: * Access Data Model Certification * Clinical Data Model Certification

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

Responsibilities : • Lead the architecture and evolution of Epic data platforms, including Clarity and Wisdom. • Design scalable data models that support enterprise reporting, dashboards, and ...

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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 Aug 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.

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.

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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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $117,000 per year, or $56.2 per hour.

Epic Data & Value-Based Care Analytics - Senior Consultant

Guidehouse

Remote

$102K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 6 days ago


Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

33rd of 72 rated business consultants


Job description

Job Family:

Technology Consulting


Travel Required:

Up to 50%


Clearance Required:

None

What You Will Do:

The Epic Data and Value-Based Care Analytics Analyst will lead the interpretation, extraction, modeling, validation, and governance of Epic data used within an external value-based care analytics platform.

This role will serve as the primary bridge between Epic reporting environments, claims data, existing analytics platforms, and the Azure-based VBC solution. The architect will work across the full platform lifecycle, beginning with current-state data discovery and reconciliation and continuing through source selection, data modeling, pipeline development, calculation validation, testing, deployment, and ongoing production support.

The ideal candidate brings deep experience with Epic Clarity and Cogito, working knowledge of Caboodle, advanced SQL skills, and an understanding of population health or value-based care analytics. The individual must be able to translate Epic data structures and client-specific configuration into reliable, traceable data products that can be integrated with claims and other external data sources.

What You Will Need:

  • Bachelor's degree in information systems, computer science, healthcare administration, analytics, engineering, or a related field.

  • 5 years' experience working with Epic Clarity and the Epic Cogito reporting ecosystem.

  • Advanced SQL development and troubleshooting skills.

  • Demonstrated ability to identify and use complex Epic tables, joins, identifiers, date fields, and status logic.

  • Experience performing data lineage, source-to-target mapping, reconciliation, and record-level validation.

  • Experience interpreting client-specific Epic configuration and operational workflows.

  • Experience working with large healthcare data sets in a relational database environment.

  • Ability to translate technical data structures into clear business and analytical definitions.

  • Experience partnering with data engineers, architects, application analysts, business stakeholders, and clinical SMEs.

  • Strong written and verbal communication skills.

  • Ability to work directly with client executives, technical leaders, analysts, and operational stakeholders.

What Would Be Nice To Have:

  • Epic certification or accreditation in Clarity, Cogito, Caboodle, Healthy Planet, or a related reporting area.

  • Experience with Epic Caboodle and Epic-delivered analytical content.

  • Experience with Healthy Planet, population health, accountable care, payer analytics, or value-based care.

  • Experience integrating Epic data with medical claims, pharmacy claims, eligibility, attribution, or payer-supplied data.

  • Experience with Exasol or another enterprise analytical database.

  • Experience using DBeaver, SQL Server Management Studio, or comparable SQL development tools.

  • Experience supporting an Azure-based healthcare data or analytics platform.

  • Familiarity with Azure Data Factory, Azure Databricks, Microsoft Fabric, Azure Synapse, or related technologies.

  • Experience developing or validating quality, utilization, risk, cost, or shared-savings calculations.

  • Understanding of provider, patient, department, facility, and payer master-data management.

  • Experience supporting migration from a legacy analytical platform to a modern cloud-based architecture.

The annual salary range for this position is $102,000.00-$170,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


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