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Data Modeler (GCP & Analytics) FHIR Datasets - Remote
Source: reddit-r-forhire
Job Location: Remote
Job Duration: Long Term
Max Pay: $60/Hr on C2C
About the Role
The Data Modeler will be the primary architect of our flattened FHIR dataset. You will be responsible for transforming highly nested, hierarchical data into high-performance, analytic-friendly schemas within Google Cloud Platform (GCP). Your goal is to create a reusable framework that aligns with downstream analytics and specific clinical use cases.
Key Responsibilities
- Schema Design: Own the end-to-end design of flattened schemas optimized for Big Query and downstream "serve views."
- Flattening Strategy: Develop mapping patterns that transform nested FHIR structures into relational or semi-relational models without losing data integrity.
- Framework Development: Establish data modeling standards and reusable patterns to ensure scalability across multiple clinical domains.
- GCP Alignment: Partner with engineering teams to ensure the data model supports high-concurrency analytics and reporting tools.
Qualifications
- Expertise in data modeling for GCP (Big Query, Dataflow, etc.).
- Experience transforming No-SQL/Nested structures (JSON, FHIR) into flattened schemas.
- Strong understanding of healthcare data architectures and normalization strategies.
Education
- Bachelors or Masters in Information Technology, Computer Science or relevant fields.