Overview
Remote
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Skills
Lead Data Modeler
FHIR
Job Details
Seeking a Seasonal Lead Data Modeler (FHIR) to join our team which will help in design, develop, and maintain data models that support transactional data management, analytical data, warehouses and data marts. The ideal candidate will have a deep understanding of healthcare data along with expertise in data architecture, database design, and data warehousing, ensuring that data is structured efficiently for high performance and scalability.
Skills: -
Mandatory skills
- Bachelor's degree in. Computer Science, Information Systems, or related field.
- Typically has 10+ years of technical and professional experience
- 5+ years of experience in data modeling and database design, with a focus on
- healthcare data.
- Expertise in FHIR (Fast Healthcare Interoperability Resources) and HL7 standards.
- Experience working with FHIR servers (e.g., Azure FHIR, Google Healthcare API, HAPI
- FHIR).
- Knowledge of data warehousing, ETL processes, and data pipeline development.
- Experience with data governance, security, and regulatory compliance in healthcare.
- Strong analytical and problem-solving skills with excellent attention to detail.
Preferred Skills
- Experience with cloud-based healthcare data solutions
- Exhibit a strong sense of urgency and ownership for task/project completion.
- Highly adept at working collaboratively across multiple business and technical functions
- to achieve results
Responsibilities: -
- Design and implement conceptual, logical, and physical data models for healthcare
- applications, analytics, and interoperability.
- Develop and maintain FHIR-based data models and support integration with FHIR
- servers.
- Design and manage analytical data models that power dashboards while ensuring cost[1]efficient data ingress and egress.
- Collaborate with product engineering, database administrators, data engineers, and
- business analysts to understand data requirements and optimize data architecture.
- Support ETL processes and data pipelines to ensure efficient data integration and
- transformation.
- Conduct data profiling and quality assessments to ensure accuracy, consistency, and
- integrity.
- Document metadata, data lineage, and data dictionaries for healthcare data models.
- Implement data governance best practices to ensure regulatory compliance.
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