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Healthcare Data Modeling Jobs (NOW HIRING)

eFulgent

Data Modeler

Richardson, TX · On-site

$49.75 - $64.50/hr

... data modeling tools (e.g., Erwin, PowerDesigner) - Domain Experience: - Deep understanding of healthcare data (claims, EMR/EHR, provider/patient data) - Responsibilities: - Design, develop, and ...

Orison Solutions

Data Modeler

Florham Park, NJ · On-site +1

$57.25 - $74.25/hr

FLORHAM PARK,NJ( Hybrid / Remote can consider ) Core Skills 8+ years of data modeling experience in ... healthcare programs such as Medicaid, CHIP, or Medicare Familiarity with healthcare transaction ...

Navtech, Inc.

Senior Data Modeler

Jersey City, NJ · On-site

This person should have extensive background in data modeling, preferably in a healthcare data warehouse environment. The should be preferably be knowledgeable in Db2 (LUW - not mainframe Db2 ...

Privia Health

Data Architect

$65.25 - $84/hr

Establish core data modeling patterns (Kimball dimensional modeling, Data Vault, slowly changing dimensions) tailored for complex healthcare datasets. * Healthcare Domain Integration: Blueprint ...

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Healthcare Data Modeling information

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How much do healthcare data modeling jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for healthcare data modeling in the United States is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $68.27 per hour, depending on experience, location, and employer.

What is healthcare data modeling?

Healthcare data modeling is the process of designing and structuring data systems to accurately represent, organize, and analyze healthcare information. This involves creating conceptual, logical, and physical models to ensure that data from sources like electronic health records, billing systems, and clinical databases can be integrated and used effectively. Effective data modeling helps healthcare organizations improve patient care, streamline operations, and comply with regulatory requirements by making data more accessible and meaningful for analysis and decision-making.

What are the key skills and qualifications needed to thrive as a healthcare data modeler?

To thrive as a Healthcare Data Modeler, you need expertise in data modeling concepts, healthcare data standards, and a background in computer science, information systems, or a related field. Proficiency with tools like SQL, ERwin, UML, and knowledge of HL7/FHIR standards is typically required, and certifications in data management or healthcare informatics are beneficial. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting complex data requirements and collaborating with diverse stakeholders. These capabilities are crucial for ensuring accurate, interoperable healthcare data solutions that support clinical decision-making and regulatory compliance.

What are some common challenges faced by professionals in healthcare data modeling, and how can they be addressed?

Healthcare data modeling professionals often encounter challenges such as integrating data from diverse sources, ensuring data privacy, and dealing with incomplete or inconsistent datasets. Addressing these issues typically involves collaborating closely with IT, clinical, and compliance teams to standardize data formats and adhere to regulatory requirements like HIPAA. Regular communication with stakeholders and ongoing training in the latest data management tools can also help overcome these obstacles, ensuring that data models remain accurate and actionable for healthcare decision-making.

What is the difference between Healthcare Data Modeling vs Healthcare Data Analysis?

AspectHealthcare Data ModelingHealthcare Data Analysis
Primary FocusDesigning data structures and models for healthcare data systemsInterpreting and analyzing healthcare data to derive insights
Skills & CertificationsData modeling, database design, SQL, healthcare informaticsStatistical analysis, data visualization, SQL, healthcare analytics tools
Work EnvironmentHealthcare IT teams, data warehouses, EHR systemsResearch teams, healthcare organizations, analytics departments
Industry UsageDeveloping healthcare data infrastructureImproving patient outcomes through data insights

Healthcare Data Modeling focuses on creating the structure for healthcare data systems, ensuring data is stored efficiently and accurately. Healthcare Data Analysis involves examining healthcare data to identify trends and support decision-making. Both roles are essential in healthcare IT but serve different purposes within the data lifecycle.

What other helpful pages are available for Healthcare Data Modeling?

Other pages related to Healthcare Data Modeling:

Infographic showing various Healthcare Data Modeling job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,123 per year, or $58.7 per hour.

Senior Healthcare Data Modeler

Bloomington, MN • On-site

Techvilla Solutions
IT Services • 51 - 200 employees
Learn more about Techvilla Solutionsexternal

Full-time

Posted 8 days ago

Job description

Primary Responsibilities
  • Design and implement enterprise data models and data architecture for large, complex healthcare systems.
  • Translate business and technical requirements into scalable data models and end-to-end data solutions.
  • Develop data strategies, roadmaps, and data management solutions supporting analytics and enterprise reporting.
  • Design normalized OLTP, OLAP, MDM, and dimensional models, including Star schemas, SCDs, role-playing dimensions, hierarchies, and data classification.
  • Develop and review complex SQL queries, stored procedures, DDL, DML, and DCL using ANSI standards.
  • Optimize SQL queries and analyze database performance.
  • Define and implement data quality, profiling, governance, security, metadata management, MDM, archival, and migration strategies.
  • Ensure compliance with healthcare data security and privacy requirements, including HIPAA, PHI, and PII.
  • Collaborate with Data Managers, Data Integration Leads, Data Engineers, and business stakeholders.
  • Provide technical leadership, problem-solving, presentations, and recommendations for complex data initiatives.
Required Skills & Qualifications
  • 8+ years of experience in Data Modeling, Data Architecture, or Data Management.
  • 5+ years of hands-on experience with Erwin Data Modeler.
  • 5+ years of experience working with healthcare data and healthcare information systems.
  • Strong experience with Medicaid, Medicare, and Commercial healthcare datasets; Medicaid experience is highly preferred.
  • 7+ years of advanced SQL experience, including complex queries, stored procedures, DDL, DML, DCL, and query optimization.
  • Strong expertise in OLTP, OLAP, MDM, and dimensional data modeling.
  • Experience with Star schemas, Slowly Changing Dimensions (SCD), role-playing dimensions, dimensional hierarchies, and data classification.
  • Strong knowledge of Data Governance, Data Quality, Data Profiling, Data Security, Metadata Management, MDM, Data Archival, and Data Migration.
  • Strong understanding of HIPAA, PHI, PII, and healthcare data privacy/security requirements.
  • Excellent problem-solving, communication, influencing, presentation, and stakeholder management skills.
  • Ability to work independently and take ownership of complex data initiatives.
Preferred Skills
  • Experience with Microsoft Azure data services, including Azure Data Lake Storage, Azure Data Factory, Microsoft Purview, and Azure Maps.
  • Experience with Snowflake.
  • Experience with Power BI or Tableau.
  • Experience designing and implementing large-scale healthcare data warehouse and analytics solutions.

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