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Healthcare Data Integration Consultant Jobs (NOW HIRING)

Murtech Staffing and Solutions

Data Analyst

Data Quality Analyst - Healthcare Data - Remote The Opportunity We are seeking an experienced Data Quality Analyst to support complex healthcare data applications and integrations. This role will be ...

Caris Life Sciences

Data Integration Engineer

We're pushing the frontiers of medicine and leading a revolution in healthcare-driven by innovation ... Position Summary The Data Integration Engineer will install back-end, automated data integrations ...

VeeRteq Solutions Inc.

Facets Integration Developer

Plano, TX · Remote

$51.50 - $68.25/hr

Work with large-scale healthcare data files including: o EDI 834 o EDI 835 o EDI 837 o EDI 270/271 ... Troubleshoot integration failures and coordinate defect resolution. * Participate in release ...

Caris MPI, Inc.

Data Integration Engineer

Irving, TX · On-site

We're pushing the frontiers of medicine and leading a revolution in healthcare--driven by ... Position SummaryThe Data Integration Engineer will install back-end, automated data integrations to ...

Symmetrio

Lead Integration Engineer

$106K - $143K/yr

Lead the analysis, design, development, deployment, and support of healthcare data integrations ... with EMRs and third-party systems * Serve as the technical lead and escalation point for interface ...

Prescient Edge

Data Integration Specialist

Doral, FL · On-site

Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage. * A ... Data Integration Specialist (Handling data ingestion and interoperability across DoD and commercial ...

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Healthcare Data Integration Consultant information

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How much do healthcare data integration consultant jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for healthcare data integration consultant in the United States is $62.87, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $73.56 per hour, depending on experience, location, and employer.

What is a healthcare data integration consultant?

A Healthcare Data Integration Consultant is a professional who specializes in connecting and streamlining data systems within healthcare organizations. They work to enable seamless data exchange between different healthcare platforms, such as electronic health records (EHRs), billing systems, and other clinical applications. Their goal is to ensure that healthcare providers have accurate, timely, and secure access to patient information, which supports better care coordination and decision-making. These consultants use their expertise in data standards, interoperability, and industry regulations to implement solutions that comply with privacy laws and improve workflow efficiency.

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

To thrive as a Healthcare Data Integration Consultant, you need expertise in healthcare data standards (like HL7, FHIR), data mapping, and a background in health informatics or computer science. Familiarity with integration engines (such as Mirth Connect, Cloverleaf), EHR systems, and relevant certifications like HL7 or Epic are typically required. Strong problem-solving, communication, and project management skills help you understand client needs and bridge technical gaps between teams. These qualifications ensure the secure and efficient exchange of healthcare data, which is critical for interoperability and improved patient care.

What are some common challenges healthcare data integration consultants face when working with multiple healthcare systems?

Healthcare Data Integration Consultants often encounter challenges related to data standardization, interoperability, and varying security protocols across different healthcare systems. Integrating electronic health records (EHRs) and disparate databases requires a deep understanding of healthcare data formats (such as HL7, FHIR, and DICOM) and regulatory compliance like HIPAA. Successfully navigating these complexities involves close collaboration with IT teams, clinical staff, and vendors to ensure data flows securely and accurately between systems, ultimately improving patient care and operational efficiency.

What is the difference between Healthcare Data Integration Consultant vs Healthcare Data Analyst?

AspectHealthcare Data Integration ConsultantHealthcare Data Analyst
Required CredentialsTypically requires a degree in health informatics, computer science, or related fields; certifications like HL7, FHIR, or EHR integration are common.Usually holds a degree in health informatics, statistics, or related areas; certifications like Certified Health Data Analyst (CHDA) may be preferred.
Work EnvironmentWorks with IT teams, healthcare providers, and vendors to implement data systems and integrations.Analyzes healthcare data to generate reports, insights, and support decision-making.
Employer & Industry UsageEmployed by healthcare providers, EHR vendors, and consulting firms focusing on system integration.Employed by hospitals, insurance companies, and research organizations focusing on data analysis.

While both roles involve healthcare data, the Healthcare Data Integration Consultant focuses on system integration and technical implementation, whereas the Healthcare Data Analyst emphasizes data analysis and reporting. Understanding these differences helps in choosing the right career path or job search focus.

What are popular job titles related to Healthcare Data Integration Consultant jobs?

For Healthcare Data Integration Consultant jobs, the most frequently searched job titles are:

Infographic showing various Healthcare Data Integration Consultant 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 $130,760 per year, or $62.9 per hour.

Senior Healthcare Data Modeler

Mendota Heights, MN • On-site

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

Full-time

This job post has expired today. Applications are no longer accepted.

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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