

Astraa
UDMH Data Modeler
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a UDMH Data Modeler, a 6-month contract position, offering a pay rate of "$XX/hour." Candidates must have expertise in GCP data modeling, experience with FHIR data transformation, and a background in healthcare data architectures.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 2, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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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
#JSON (JavaScript Object Notation) #BigQuery #NoSQL #Scala #FHIR (Fast Healthcare Interoperability Resources) #Schema Design #Strategy #Data Modeling #Data Architecture #Dataflow #Data Integrity #Normalization #"ETL (Extract #Transform #Load)" #Computer Science #SQL (Structured Query Language) #Cloud #GCP (Google Cloud Platform)
Role description
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.
Work Environment
This job operates in a professional office environment. This role routinely uses standard office equipment, including but not limited to, computers, phones, and photocopiers.
Physical Demands
This position requires the frequent and repetitive use of a computer, keyboard, and mouse. Hand and finger dexterity is required.
Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
EEO
Saama provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
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.
Work Environment
This job operates in a professional office environment. This role routinely uses standard office equipment, including but not limited to, computers, phones, and photocopiers.
Physical Demands
This position requires the frequent and repetitive use of a computer, keyboard, and mouse. Hand and finger dexterity is required.
Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
EEO
Saama provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.






