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Epic Data Model Jobs in Georgia (NOW HIRING)

TRC Talent Solutions

Senior Data Engineer/Devops

Atlanta, GA · Remote

$100K - $136K/yr

Experience supporting EMR/EHR platforms such as Epic, Raintree, WebPT, Cerner, Meditech, Athenahealth, or similar systems * Strong SQL development and data modeling experience * Experience with cloud ...

New

Deloitte

Epic Denials Management Operator

Atlanta, GA · Remote

$17.25 - $23/hr

... technology & data platforms. Our delivery models are tailored to meet each client's unique ... Experience using Epic Resolute Hospital Billing * Bachelor's degree in information technology ...

EPIC Brokers

Senior Analytics Consultant

Atlanta, GA · On-site

$112K/yr

... models. • Ability to interpret data, synthesize findings, and communicate insights to clients ... EPIC has over 60 offices and 3,000 employees nationwide - and we're growing! It's a great time to ...

USAN

GenAI Tuning Analyst

Norcross, GA · On-site

You will work at the intersection of data science, linguistics, and customer operations to ensure ... model constraints. * Prompt Engineering & Optimization:Iterate on complex system prompts to guide ...

USAN

GenAI Tuning Analyst

Norcross, GA · On-site

You will work at the intersection of data science, linguistics, and customer operations to ensure ... model constraints. * Prompt Engineering & Optimization:Iterate on complex system prompts to guide ...

USAN

GenAI Tuning Analyst

Norcross, GA · On-site

You will work at the intersection of data science, linguistics, and customer operations to ensure ... model constraints. * Prompt Engineering & Optimization: Iterate on complex system prompts to guide ...

USAN

GenAI Tuning Analyst

Norcross, GA · On-site

You will work at the intersection of data science, linguistics, and customer operations to ensure ... model constraints. * Prompt Engineering & Optimization: Iterate on complex system prompts to guide ...

RITWIK Infotech Inc

AI Architect

Atlanta, GA · On-site

$60.50 - $79.75/hr

... Model (LLM) solutions for healthcare workflows. * Design data pipelines for structured and ... Experience working with Electronic Health Records (EHR/EMR) systems such as Epic, Cerner, or ...

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Epic Data Model information

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 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 popular job titles related to Epic Data Model jobs in Georgia? For Epic Data Model jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Epic Data Model jobs in Georgia look for? The top searched job categories for Epic Data Model jobs in Georgia are:
What cities in Georgia are hiring for Epic Data Model jobs? Cities in Georgia with the most Epic Data Model job openings:
Epic Data Model jobs near you
Infographic showing various Epic Data Model job openings in Georgia as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 94% In-person, and 6% Remote job distribution.

Senior Data Engineer/Devops

TRC Talent Solutions

Atlanta, GA • Remote

$100K - $136K/yr

Full-time

Posted yesterday

New

Job description

Senior Healthcare Data Engineer

Remote

TRC Talent Solutions is seeking a Senior Healthcare Data Engineer to support the continued growth and evolution of a healthcare organization's enterprise data and analytics platform. This role will play a key part in expanding centralized reporting, data integration, automation, and interoperability capabilities across multiple clinical and business systems.

The ideal candidate will bring a blend of healthcare data engineering, cloud data platform expertise, and hands-on experience supporting production environments. This position offers the opportunity to work across data pipelines, cloud infrastructure, analytics platforms, and healthcare integrations while helping shape future-state data architecture.

Responsibilities

  • Design, build, and support scalable data pipelines and integrations across healthcare and business systems

  • Develop and maintain ETL/ELT processes using modern cloud-based data platforms and integration tools

  • Support enterprise reporting and analytics initiatives by delivering high-quality, reliable data solutions

  • Monitor, troubleshoot, and maintain production data environments, integrations, and platform components

  • Support cloud-based data infrastructure within Microsoft Azure environments

  • Maintain and enhance connectivity between internal and external systems, including APIs, file-based integrations, and healthcare data exchanges

  • Analyze existing integrations and data workflows to support new platform development and future interoperability initiatives

  • Collaborate with business stakeholders, application teams, analysts, and technical teams to deliver data solutions that support operational and clinical objectives

  • Participate in platform operations, deployment support, environment management, and continuous improvement initiatives

  • Ensure data quality, security, reliability, and compliance within healthcare data environments

Qualifications

  • 5+ years of experience in Data Engineering, Data Integration, or related data platform roles

  • Experience working with healthcare data and healthcare information systems

  • Experience supporting EMR/EHR platforms such as Epic, Raintree, WebPT, Cerner, Meditech, Athenahealth, or similar systems

  • Strong SQL development and data modeling experience

  • Experience with cloud data warehouse technologies, preferably Snowflake

  • Experience developing and supporting ETL/ELT processes using tools such as Matillion, Azure Data Factory, SSIS, Informatica, or similar platforms

  • Hands-on experience within Microsoft Azure environments

  • Experience supporting production systems, monitoring integrations, troubleshooting issues, and maintaining platform stability

  • Familiarity with healthcare interoperability standards such as HL7, FHIR, APIs, and file-based integrations

  • Strong analytical, problem-solving, and communication skills

Preferred Qualifications

  • Epic experience

  • Snowflake experience

  • Matillion experience

  • Healthcare interoperability and integration experience

  • Experience supporting Azure-based data and analytics platforms

This is an opportunity to join a growing team where you will have broad exposure across data engineering, cloud technologies, analytics platforms, and healthcare integrations while helping drive the future of enterprise data capabilities.