Data Modeler (Google Cloud Platform & Analytics)

Remote • Posted 12 hours ago • Updated 12 hours ago
Contract W2
No Travel Required
Remote
$50/yr
Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

  • JSON
  • Data Integrity
  • Data Modeling
  • Big Query
  • Mapping
  • FHIR
  • Reporting
  • Data Modelling for GCP
  • Dataflow
  • No-SQL
  • Flattened Schemas
  • Healthcare Data Architectures
  • Normalization
  • Data Flow

Summary

Job Title: Data Modeler (Google Cloud Platform & Analytics)

Job Location: 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 (Google Cloud Platform). 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.
  • Google Cloud Platform Alignment: Partner with engineering teams to ensure the data model supports high-concurrency analytics and reporting tools.

Qualifications:

  • Expertise in data modeling for Google Cloud Platform (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

  • Bachelor''s or Master''s in Information Technology, Computer Science, or a relevant field.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91166119
  • Position Id: 8925714
  • Posted 12 hours ago
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