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Epic Data Model Jobs in Phoenix, AZ (NOW HIRING)

Phoenix Staff

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

... models that improve cost, quality, and patient outcomes. Your role · Design, implement, and ... Experience with Epic or Cerner integrations, HEDIS or risk adjustment programs, MLOps tools such as ...

Deloitte

Epic Willow Senior Consultant

Tempe, AZ · On-site

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

Deloitte

Epic Willow Senior Consultant

Gilbert, AZ · On-site

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

Deloitte

Epic Willow Build Senior Consultant

Tempe, AZ · Hybrid

... data platforms. Our delivery models are tailored to meet each client's unique requirements ... Must have Epic Willow IP Certification * 6+ years of recent experience with Epic implementation ...

Deloitte

Epic Denials Management Operator

Tempe, AZ · 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 ...

Deloitte

Epic Denials Management Operator

Gilbert, AZ · Remote

$18 - $24/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 ...

Deloitte

Senior Manager Data Lead

Tempe, AZ · Hybrid

Our delivery models are tailored to meet each client's unique requirements. Recruiting for this ... Epic Caboodle, or Cerner/Oracle Health databases * Clinical data exchange and coding standards ...

New

MY DR NOW

AI & Machine Learning Engineer

Chandler, AZ · On-site

$100K - $110K/yr

Optimize AI/ML models for real-world healthcare operations and patient care * Write advanced SQL ... Microsoft Fabric, Azure Data Factory, Azure SQL * TensorFlow, PyTorch, Scikit-learn, MLflow * Epic ...

XceedSearch.com

Be Seen First

FP&A Analyst

Scottsdale, AZ · On-site

$90K - $110K/yr

Use tools like Excel, Tableau, Power BI, or EHR/ERP systems (e.g., Athena, Epic, Cerner, Meditech ... Proficient in Excel, financial modeling, and data visualization * Familiarity with healthcare ...

XceedSearch.com

FP&A Analyst

Mesa, AZ · On-site

Use tools like Excel, Tableau, Power BI, or EHR/ERP systems (e.g., Athena, Epic, Cerner, Meditech ... Proficient in Excel, financial modeling, and data visualization * Familiarity with healthcare ...

XceedSearch.com

FP&A Analyst

Mesa, AZ

Use tools like Excel, Tableau, Power BI, or EHR/ERP systems (e.g., Athena, Epic, Cerner, Meditech ... Proficient in Excel, financial modeling, and data visualization * Familiarity with healthcare ...

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All JobsEpic Data Model JobsEpic Data Model Jobs in Phoenix, AZ

Epic Data Model information

See Phoenix, AZ salary details

$32

$55

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How much do epic data model jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for epic data model in Phoenix, AZ is $55.85, according to ZipRecruiter salary data. Most workers in this role earn between $47.26 and $66.83 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.

What are popular job titles related to Epic Data Model jobs in Phoenix, AZ?

For Epic Data Model jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Epic Data Model jobs in Phoenix, AZ look for?

The top searched job categories for Epic Data Model jobs in Phoenix, AZ are:

Epic Data Model jobs near you
Infographic showing various Epic Data Model job openings in Phoenix, AZ as of August 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, 34% Hybrid, and 33% Remote job distribution, with an average salary of $116,170 per year, or $55.9 per hour.

Lead Data & AI Engineer

Phoenix Staff

Phoenix, AZ • On-site, Remote

$50 - $60/hr

Contractor

Re-posted 21 days ago

Job description

Title: Lead Data & AI Engineer

Location: Phoenix, AZ (hybrid remote)

Type: 6-month contract to hire

Pay: $50-60/hr

We’re looking for a Lead Data & AI Engineer to lead the design and delivery of secure, scalable data and AI solutions within complex healthcare environments. The position focuses on building modern data platforms, integrating diverse clinical and claims datasets, and operationalizing machine learning models that improve cost, quality, and patient outcomes.

Your role

·       Design, implement, and optimize data platforms using Snowflake and Microsoft Fabric, including Lakehouses, Warehouses, OneLake, and engineering pipelines.

·       Build and maintain scalable ingestion frameworks for batch and streaming data sources such as APIs, ADLS, SFTP, and event streams with full lineage and governance.

·       Develop secure data environments that comply with HIPAA and PHI requirements using role-based access, masking, tokenization, and de-identification.

·       Create conceptual, logical, and physical data models using dimensional, normalized, and data vault approaches.

·       Transform and normalize structured and unstructured healthcare data including claims, eligibility, enrollment, provider, and clinical documentation.

·       Integrate and harmonize data using FHIR, HL7, X12/EDI 837/835, NCPDP, and CMS standards across payer, provider, EHR, and HIE systems.

·       Build and deploy machine learning pipelines for risk modeling, utilization forecasting, fraud detection, quality measurement, and care gap analysis.

·       Operationalize models with strong MLOps practices including versioning, CI/CD, monitoring, and drift detection.

·       Implement data cataloging, metadata management, lineage tracking, and quality validation using tools such as Microsoft Purview or equivalent.

·       Monitor and optimize pipeline performance, cost, and reliability across Snowflake and Fabric environments.

·       Collaborate with clinicians, actuaries, product teams, and analysts to translate business needs into scalable technical solutions.

·       Document architecture, data mappings, and design standards while mentoring engineers and contributing to enterprise best practices.

What you’ve got

·       8+ years of experience in data engineering or analytics with at least 5 years of hands-on Snowflake expertise including virtual warehouses, tasks, streams, Snowpipe, RBAC, masking, and data sharing.

·       2+ years of experience with Microsoft Fabric including OneLake, Lakehouses, Warehouses, Dataflows Gen2, Notebooks, and Pipelines.

·       Advanced SQL skills with strong experience in ETL/ELT development using Python, dbt, Dataflows, or Fabric/ADF pipelines.

·       Deep knowledge of healthcare data standards including CMS datasets, FHIR, HL7, X12/EDI, provider data, eligibility, and claims processing.

·       Strong data modeling experience including dimensional modeling, SCD types, surrogate keys, 3NF, and data vault methodologies.

·       Experience building and deploying machine learning solutions using tools such as scikit-learn, PyTorch, TensorFlow, Azure ML, or Fabric ML.

·       Practical experience managing HIPAA compliance, PHI handling, auditing, and secure access controls within cloud data environments.

·       Experience working with both structured data formats such as Parquet and CSV and unstructured data such as clinical notes and PDFs.

·       Strong communication skills with the ability to produce mapping specifications, lineage documentation, and present technical trade-offs clearly.

·       Preferred: Experience with Epic or Cerner integrations, HEDIS or risk adjustment programs, MLOps tools such as MLflow or GitHub Actions, Power BI semantic modeling, and relevant Snowflake or Microsoft certifications.

To find more great tech-centric jobs, please visit www.phoenixstaff.com.