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Epic Data Model Jobs in Alabama (NOW HIRING)

Deloitte

Epic Clarity Report Senior Consultant

Huntsville, AL · Hybrid

$103K - $126K/yr

Have strong Clarity data models knowledge for Professional and Hospital billing workflows * Have ... Epic clinical functional knowledge The wage range for this role takes into account the wide range ...

Deloitte

Epic Clarity Report Senior Consultant

Birmingham, AL · Hybrid

$98K - $120K/yr

Have strong Clarity data models knowledge for Professional and Hospital billing workflows * Have ... Epic clinical functional knowledge The wage range for this role takes into account the wide range ...

Baptist Health

Epic Products Analyst, Sr

Homewood, AL · On-site

... data, produces reports, and investigates issues in support of technical and business decision ... models related to the Epic software. • Participates in the evaluation and selection of software ...

Deloitte

Epic Beaker Consultant

Huntsville, AL · Hybrid

... technology & data platforms. Our delivery models are tailored to meet each client's unique ... Additional Epic Certifications * ITIL process knowledge * Analytical/ Decision Making ...

Deloitte

Epic Beaker Consultant

Birmingham, AL · Hybrid

... technology & data platforms. Our delivery models are tailored to meet each client's unique ... Additional Epic Certifications * ITIL process knowledge * Analytical/ Decision Making ...

Deloitte

Epic Beaker Senior Consultant

Huntsville, AL · Hybrid

... technology & data platforms. Our delivery models are tailored to meet each client's unique ... Current Epic Beaker Certification in AP or CP * 5+ years' experience in Epic implementation or ...

Deloitte

Epic Beaker Senior Consultant

Birmingham, AL · Hybrid

... technology & data platforms. Our delivery models are tailored to meet each client's unique ... Current Epic Beaker Certification in AP or CP * 5+ years' experience in Epic implementation or ...

Deloitte

Hospital Billing Coordinator

Huntsville, AL · Remote

$50K - $60K/yr

Epic Hospital Billing Coordinator Position Summary Join Deloitte's AI & Engineering practice to ... technology & data platforms. Our delivery models are tailored to meet each client's unique ...

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All JobsEpic Data Model JobsEpic Data Model Jobs in Alabama

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 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.

How hard is it to get hired at Epic Systems?

Getting hired for an Epic Data Model role can be competitive, often requiring relevant technical skills such as data modeling, SQL, and understanding of healthcare data. Candidates typically go through a rigorous interview process that assesses technical knowledge, problem-solving abilities, and cultural fit, with some roles favoring prior experience or certifications in Epic systems or healthcare IT.

What are Epic data models?

Epic data models are structured representations of healthcare data used within Epic Systems' electronic health record (EHR) platform. 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 roles involving data analysis or system configuration.

How much does IT cost to get Epic data model certified?

The cost to become Epic Data Model certified varies depending on the training provider and program, typically ranging from $3,000 to $10,000. Certification often requires completing instructor-led courses, passing exams, and gaining practical experience with Epic's data tools and standards.

What is the salary of a data modeler?

The salary of a data modeler typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Skilled data modelers with knowledge of tools like ERwin or PowerDesigner and certifications such as CBIP can command higher salaries.
What are popular job titles related to Epic Data Model jobs in Alabama? For Epic Data Model jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Epic Data Model jobs in Alabama look for? The top searched job categories for Epic Data Model jobs in Alabama are:
What cities in Alabama are hiring for Epic Data Model jobs? Cities in Alabama with the most Epic Data Model job openings:
Epic Data Model jobs near you
Population Health Data Engineer

Population Health Data Engineer

Software Technology Inc

Homewood, AL • On-site

$114K - $137K/yr

Other

Posted 8 days ago

Key responsibilities

  • Design, develop, and maintain scalable data pipelines supporting population health, claims analytics, and reporting.

  • Integrate clinical and claims data to support longitudinal patient views and advanced analytics.

  • Develop data models for population health use cases including quality measures, risk stratification, utilization, and care management analysis.

Job description

Population Health Data Engineer

We are seeking a skilled Population Health Data Engineer with deep expertise in Epic data ecosystems and healthcare analytics. This role will focus on designing, building, and optimizing data pipelines and models to support population health, quality of care and claims analytics.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines supporting population health, claims analytics, and reporting.
  • Work extensively with Epic data sources including Registries, Rosters, Chronicles, Clarity, and Caboodle.
  • Integrate clinical and claims data to support longitudinal patient views and advanced analytics.
  • Develop data models for population health use cases including quality measures, risk stratification, utilization, and care management analysis.
  • Support development and operationalization of risk scoring data models and analytics (e.g., MARA, HCC, RAF).
  • Process and transform healthcare claims data (medical and pharmacy) for analytics and reporting.
  • Work with Milliman MedInsight data structures to support payer-provider analytics and efficiency benchmarking.
  • Build and optimize ELT pipelines using modern cloud platforms.
  • Collaborate with healthy planet, efficiency, quality, clinical, and analytics teams to translate business needs into technical solutions.
  • Ensure data quality, governance, and compliance with healthcare regulations (e.g., HIPAA).
  • Optimize performance of large-scale datasets and queries.
Required Qualifications
  • Strong hands-on experience with Epic systems, including:
    • Epic Registries
    • Chronicles data structures
    • Hyperspace or Hyperdrive environments
    • Clarity and Caboodle data models
  • Experience with modern data engineering tools and platforms:
    • Snowflake (data warehousing)
    • DBT (data transformation and modeling)
    • Dynamic Tables in Snowflake
  • Solid understanding of healthcare domain concepts, including population health and value-based care.
  • Experience with healthcare claims processing (medical and pharmacy claims).
  • Hands-on experience with Milliman MedInsight data models and analytics workflows.
  • Strong SQL and data modeling expertise.
  • Experience building and maintaining data pipelines.
Key Skills
  • Population Health & Risk Analytics
  • Healthcare Data Modeling (Clinical and Claims)
  • Epic Data Ecosystem Expertise
  • Snowflake & DBT
  • SQL & Performance Optimization
  • Data Governance & Compliance
Education & Experience
  • Bachelor’s or Master’s degree in Computer Science, Health Informatics, Data Engineering, or related field.
  • 6+ years of experience in data engineering, with strong preference for healthcare, payer, or population health analytics experience.

Apply