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Epic Data Model Jobs in Dallas, TX (NOW HIRING)

Steer Health

Senior Backend Engineer

Dallas, TX · On-site

The platform integrates with 36 EHRs, including direct Epic integration with SSO, and serves ... Own MongoDB data modeling and performance, including schema design, indexing, aggregation pipelines ...

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How much do epic data model jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for epic data model in Dallas, TX is $55.64, according to ZipRecruiter salary data. Most workers in this role earn between $47.07 and $66.59 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 Dallas, TX?

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What job categories do people searching Epic Data Model jobs in Dallas, TX look for?

The top searched job categories for Epic Data Model jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Epic Data Model jobs?

Cities near Dallas, TX with the most Epic Data Model job openings:

Epic Data Model jobs near you
Infographic showing various Epic Data Model job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $115,740 per year, or $55.6 per hour.

Remote Oncology Data Engineer - Precision Medicine - Dallas, Tx

US Oncology Inc.

Dallas, TX • On-site

$100 - $130/hr

Other

Posted 14 days ago

US Oncology rating

7.1

Company rating: 7.1 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

378th of 898 rated healthcare providers

Job description

Overview

Texas Oncology is looking for a Remote Oncology Data Engineer to join our Precision Medicine team. The position is based out of the corporate office in Dallas, Texas.

Responsibilities
  • Design, develop, and maintain robust ETL pipelines for large‑scale data ingestion and transformation from sources such as Electronic Medical Records, lab interfaces, and data warehouses.
  • Support data science initiatives with SQL coding from various data warehouses.
  • Implement new data architecture, drawing inspiration from existing pipelines.
  • Optimize ETL workflows for performance and accuracy, ensuring seamless data integration.
  • Integrate AI functionalities into data platforms using OpenAI tools and large language models.
  • Collaborate with AI teams to implement AI‑driven solutions within the data pipeline.
  • Stay updated on the latest advancements in AI and LLM technologies to enhance platform capabilities.
  • Collaborate with cross‑functional teams to understand requirements and translate them into technical solutions.
  • Implement monitoring and alerting systems to proactively identify and resolve platform issues.
  • Perform regular maintenance, updates, and upgrades to cloud infrastructure and associated services.
  • Maintain comprehensive documentation of system architectures, processes, and procedures.
  • Advocate for and implement best practices in cloud engineering, SQL coding, ETL processes, and AI integration.
Qualifications

Education

  • Bachelor’s or master’s degree in computer science, engineering, or a related field.

Healthcare & Oncology Domain Knowledge

  • Understanding of oncology workflows and clinical data types.
  • Familiarity with molecular/genomic data (e.g., NGS, variants, biomarkers).
  • Experience integrating laboratory, pathology, and molecular testing data.
  • Knowledge of healthcare data standards (HL7, FHIR, ICD‑10, LOINC, SNOMED).
  • Experience working with EHR data (e.g., IKMg1/IKMg2, Epic, Copia).

Experience

  • 7–10 years of professional experience in data engineering with a focus on ETL processes.
  • Minimum 3+ years of professional experience in data engineering in Healthcare.
  • Strong background in cloud platforms (e.g., AWS, Azure, GCP).
  • Experience with OpenAI tools and integrating AI functionalities, including LLMs, into data platforms.

Technical Skills

  • Strong scripting and automation skills (e.g., Python).
  • Strong experience with SQL.
  • Experience with GitHub, Confluence, Jira preferred.

Soft Skills

  • Excellent problem‑solving abilities and attention to detail.
  • Effective communication and teamwork skills.
  • Ability to manage multiple priorities in a challenging environment.

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations will be offered to enable individuals with disabilities to perform the essential functions. Requires sitting for long periods of time. Some bending and stretching are required. Adequate finger dexterity and feeling to perform keyboarding and substantial repetitive motions involving the wrists, hands and/or fingers. Requires vision and hearing corrected to normal range. Must be able to view computer screens and printed material accurately. Occasionally lifts and carries items weighing up to 40 lbs.

Work Environment

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations will be offered to enable individuals with disabilities to perform essential functions. The work environment is typical of an office setting.

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