Ahura Workforce Solutions
Data Modeler (GCP & Analytics)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Modeler (GCP & Analytics) for a 100% remote contract, focusing on transforming FHIR datasets into analytic-friendly schemas. Key skills include GCP, BigQuery, and healthcare data architecture. A Bachelor's or Master's in IT or Computer Science is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 14, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#BigQuery #Data Architecture #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Cloud #FHIR (Fast Healthcare Interoperability Resources) #GCP (Google Cloud Platform) #Strategy #Computer Science #JSON (JavaScript Object Notation) #Data Integrity #Data Modeling #NoSQL #Dataflow #Scala #Schema Design #Normalization
Role description
Role – Data Modeler (GCP & Analytics)
Location -USA (100 % Remote)
Role Overview:
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 BigQuery 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 (BigQuery, 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 field.
Role – Data Modeler (GCP & Analytics)
Location -USA (100 % Remote)
Role Overview:
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 BigQuery 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 (BigQuery, 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 field.
