u/kartheekjegan

Job Title: Data Modeler (GCP & Analytics) FHIR Datasets

Job Location: United States (Remote)

Job duration: 2 years (C2C or 1099)

Experience required: 6 years+

Max Pay: $60/Hr on C2C

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 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 field.

reach me out:

https://www.linkedin.com/posts/kartheek-jegan\\\_hi-connections-hope-you-are-doing-good-please-share-7445494030387548160-Q8Ql?utm\\\_source=share&utm\\\_medium=member\\\_android&rcm=ACoAAE9bZMYB4Bov4sDO7L9VW1ZmYDOfwmBpQYU

I’ve been exploring data modeling patterns for healthcare datasets—specifically around FHIR + GCP (BigQuery/Dataflow).

One thing I’m struggling with is designing flattened schemas from deeply nested FHIR JSON without losing important relationships. Especially when the goal is to support high-performance analytics + reusable “serve views".

For folks who’ve worked on:

* FHIR / HL7 data

* GCP (BigQuery, Dataflow)

* Flattening or denormalizing nested/semi-structured data

👉 How are you approaching:

* Mapping nested FHIR resources into analytics-friendly models?

* Balancing normalization vs performance in BigQuery?

* Reusable schema design across clinical domains?

Data Modeler (GCP & Analytics) FHIR Datasets - Remote

Job Title: Data Modeler (GCP & Analytics) FHIR Datasets

Job Location: Remote

Job duration: Long Term

Max Pay: $60/Hr on C2C

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 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 field.

reach me out:

https://www.linkedin.com/posts/kartheek-jegan\_hi-connections-hope-you-are-doing-good-please-share-7445494030387548160-Q8Ql?utm\_source=share&utm\_medium=member\_android&rcm=ACoAAE9bZMYB4Bov4sDO7L9VW1ZmYDOfwmBpQYU

Data Modeler (GCP & Analytics) FHIR Datasets - Remote

Job Title: Data Modeler (GCP & Analytics) FHIR Datasets

Job Location: Remote

Job duration: 2 years (contract C2C/1099)

Max Pay: $60/Hr on C2C

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 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 field.

reach me out:

https://www.linkedin.com/posts/kartheek-jegan\_hi-connections-hope-you-are-doing-good-please-share-7445494030387548160-Q8Ql?utm\_source=share&utm\_medium=member\_android&rcm=ACoAAE9bZMYB4Bov4sDO7L9VW1ZmYDOfwmBpQYU

where can I find a skilled data modeler for jobs in the health care domain.

Role : Data modeler

location: United States (Remote)

contract: 2 years (C2C or 1099)

Domain: health care

pay rate : 50-60$/hr

feel free to reach out with your updates resume, hiring candidates with genuine experience and right skills required for the role.