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Epic Data Model Jobs (NOW HIRING)

Lorven Technologies

Data Engineer Epic ETL

This role supports ETL development, data modeling, and solution delivery using Epic reporting analytics tools such as Clarity, Caboodle, and Cogito to enable enterprise reporting and analytics. Key ...

ClinDCast LLC

Epic Cogito Analyst

Wesley Chapel, FL

$65/hr

Epic certification in Cogito Fundamentals and Access Data Model. * Experience developing business intelligence solutions in Epic. * Strong SQL and relational database knowledge. * Critical thinking ...

Ridgeview

BI Developer Epic

Waconia, MN · On-site

Certified in at least one Epic data model that they support * Studied or trainedin the Epic application fundamentals for their areas of responsibility * Familiarity withcontentavailable for the ...

Ridgeview

BI Developer Epic

Waconia, MN · On-site

$78.19K - $108.89K/yr

Certified in at least one Epic data model that they support * Studied or trained in the Epic application fundamentals for their areas of responsibility * Familiarity with content available for the ...

Corevo IT

EPIC Caboodle Developer

Manhattan, NY · Remote

EPIC Caboodle Developer Location: Fully remote Salary Note: EPIC Caboodle Certification is ... data models and architecture expertise • Proficiency in: o SQL (T‐SQL) o ETL concepts ...

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How much do epic data model jobs pay per hour?

As of May 30, 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 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 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 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 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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Epic Data Model jobs near you
Data Engineer Epic ETL

Data Engineer Epic ETL

Lorven Technologies

Remote

Full-time

Posted 9 days ago

Job description

Data Engineer Epic ETL
Full Time
Remote
The Data Engineer is responsible for delivering data warehouse, analytics solutions by ingesting, integrating, and curating data from Epic and non-Epic source systems. This role supports ETL development, data modeling, and solution delivery using Epic reporting analytics tools such as Clarity, Caboodle, and Cogito to enable enterprise reporting and analytics.
Key Responsibilities
Deliver data warehouse and analytics solutions through data ingestion, integration, transformation, and curation of healthcare data
Design, develop, and support ETL processes using Epic tools, including Clarity ETL, Caboodle ETL, and Cogito components
Develop custom imports and integration processes to move Epic and non-Epic data into Caboodle and related enterprise data warehouse environments
Apply strong relational database expertise, including advanced SQL, complex queries, stored procedures, and performance tuning
Partner with architecture, reporting, and business teams to design and implement scalable data solutions aligned with enterprise standards
Work with business users to gather requirements and recommend analytical and integration solutions that meet reporting and operational needs
Ensure data models, ETL workflows, and database structures are consistent with approved data architecture standards.
Evaluate data quality, troubleshoot ETL issues, and communicate findings in a clear and concise manner
Document technical designs, ETL workflows, programming changes, and system maintenance procedures
Support source-to-target mapping, data profiling, change data capture, and validation of data pipelines
Skills & Experience
Experience in data engineering, ETL development, or data warehousing within a healthcare environment
Hands-on experience creating DMCs in Epic data platforms such as Clarity & Caboodle databases
Strong SQL and relational database skills, including stored procedures and query optimization
Experience integrating non-Epic data into Caboodle or enterprise analytics platforms
Experience with ETL workflows, data validation, and performance tuning
Familiarity with healthcare reporting, enterprise analytics, and operational data workflows
Healthcare Background preferred; Strong documentation, analytical, and communication skills
Epic certifications in Clarity Data Model, Caboodle Data Model, or Caboodle Development (preferred)
Ability to work independently with stakeholders to gather requirements and translate them into scalable data solutions
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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