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Healthcare Data Warehousing Jobs (NOW HIRING)

Arka Infotech Inc

Healthcare Data Architect

Richmond, VA

$63 - $81.25/hr

Position: Healthcare Data Architect Location: Richmond, VA Length: 3 months- w/option for extension ... data warehouses, analytics hubs and data marts. o Perform the detailed data analysis. Verify ...

Keebler Health

Data Engineer (Health Data Metrics)

Durham, NC · On-site

$110K - $132K/yr

Knowledge of data warehousing and workflow orchestration tools. Preferred Skills * Strong understanding of healthcare data standards, including FHIR, HL7 and CQL. * Hands-on experience with data ...

MM International

Healthcare Data Analyst

Chandler, AZ · Remote

Solid Data Warehousing background * Experience with Snowflake (data review and uploads) * Healthcare/Claims industry experience * Excellent communication and collaboration skills * Bachelor's or ...

Horizontal Talent

Sr Data Analyst

Eden Prairie, MN · On-site +1

$22 - $40/hr

This role offers the opportunity to work on meaningful data warehousing and integration initiatives using modern Microsoft Azure technologies, Snowflake, and healthcare data standards.

ClinDCast LLC

Healthcare Domain SME

Roslindale, MA · Remote

Proven experience in healthcare data warehousing or interoperability projects. * Ability to ... interpret complex clinical data structures and translate them into actionable data models.

Vytwo

Senior Data Analyst Claims Reconciliation

Prosper, TX · Remote

$88K - $111K/yr

The ideal candidate brings extensive healthcare claims data experience, strong Snowflake and data warehousing capabilities, and a working knowledge of health plan claims processing. This individual ...

NationsBenefits, LLC

Data Engineer II

Plantation, FL · On-site

Build and optimize data ingestion, transformation, and integration processes across healthcare systems and enterprise data sources. * Develop and support data warehouses, data marts, and analytical ...

NationsBenefits

Data Engineer II

Plantation, FL · On-site

Build and optimize data ingestion, transformation, and integration processes across healthcare systems and enterprise data sources. * Develop and support data warehouses, data marts, and analytical ...

LMI Consulting, LLC

Health Data Engineer - Mid

Tysons, VA · On-site

$115K - $139K/yr

... healthcare data from multiple sources. * Create and optimize ETL/ELT workflows, ensuring proper data extraction, transformation, and loading into analytics-ready databases or data warehouses.

LMI

Health Data Engineer - Mid

Tysons, VA · On-site

$115K - $139K/yr

... healthcare data from multiple sources. * Create and optimize ETL/ELT workflows, ensuring proper data extraction, transformation, and loading into analytics-ready databases or data warehouses.

LMI

Health Data Engineer - Mid

Tysons, VA · On-site

$115K - $139K/yr

... healthcare data from multiple sources. * Create and optimize ETL/ELT workflows, ensuring proper data extraction, transformation, and loading into analytics-ready databases or data warehouses.

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Healthcare Data Warehousing information

What is healthcare data warehousing?

Healthcare data warehousing is the process of collecting, storing, and managing large amounts of healthcare data from various sources in a centralized repository. This enables healthcare organizations to efficiently analyze and report on clinical, financial, and operational information. Data warehouses support better decision-making, improve patient care, and help meet regulatory requirements by providing easy access to integrated and historical data.

What are some common challenges faced when implementing healthcare data warehousing solutions?

Professionals in healthcare data warehousing often encounter challenges related to integrating data from multiple, disparate sources such as electronic health records (EHRs), billing systems, and laboratory databases. Ensuring data quality and consistency while complying with strict privacy regulations like HIPAA can also be complex. Collaboration with IT, clinical, and administrative teams is essential to address data governance and maintain security. Additionally, adapting the warehouse to evolving healthcare standards and technologies requires continuous learning and flexibility.

What are the key skills and qualifications needed to thrive in healthcare data warehousing, and why are they important?

To thrive in Healthcare Data Warehousing, you need expertise in database management, data modeling, and a solid understanding of healthcare data standards, typically supported by a degree in computer science, health informatics, or a related field. Familiarity with technical tools such as SQL, ETL processes, data visualization platforms, and knowledge of HIPAA compliance are essential, along with certifications like Certified Health Data Analyst (CHDA). Strong analytical thinking, problem-solving, and communication skills help professionals collaborate effectively with clinical and IT teams. These skills ensure that healthcare organizations can securely store, manage, and analyze large volumes of data to improve patient care and operational efficiency.

What is the difference between Healthcare Data Warehousing vs Healthcare Data Analyst?

AspectHealthcare Data WarehousingHealthcare Data Analyst
Primary FocusDesigning, building, and maintaining data storage systemsAnalyzing data to generate insights and reports
Skills RequiredDatabase management, ETL processes, SQL, data modelingData analysis, visualization, statistical tools, SQL
Work EnvironmentIT teams, data management departmentsClinical, administrative, or research settings
CertificationsData management, database certificationsData analysis, healthcare analytics certifications

Healthcare Data Warehousing professionals focus on creating and maintaining data storage systems, ensuring data integrity and accessibility. Healthcare Data Analysts interpret this data to provide actionable insights. While both roles require knowledge of SQL and data management, their core responsibilities differ: one builds the infrastructure, the other analyzes the data for decision-making.

Is healthcare data warehousing a good career?

Healthcare data warehousing is a growing field that involves managing and analyzing large healthcare datasets using tools like SQL, ETL processes, and data modeling. It offers opportunities for specialization, good job stability, and competitive salaries, especially for those with technical skills and healthcare knowledge.

What other helpful pages are available for Healthcare Data Warehousing?

Other pages related to Healthcare Data Warehousing:

Infographic showing various Healthcare Data Warehousing job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Senior Healthcare Data Modeler

Plymouth, MN • On-site

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

Full-time

Posted 10 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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