Lead Data Modeler with FHIR
Title: Data Modeler with FHIR
Location: Remote
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.
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.
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 result
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