FHIR API Architect and Engineer - Google Cloud Platform

Nobl Q, LLC.
Nashville, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Nashville, United States of America

Tech stack

Java
API
Airflow
BigTable
Google BigQuery
Clinical Data Repository
Cloud Computing
Code Reuse
Continuous Integration
Information Engineering
Relational Databases
Software Debugging
Data Flow Control
Github
HBase
Identity and Access Management
Python
Microsoft SQL Server
MongoDB
NoSQL
OAuth
Oracle Applications
Cloudera
Teradata
Management of Software Versions
Data Logging
Google Cloud Platform
Fast Healthcare Interoperability Resources
Information Technology
Cassandra
Health Level Seven International
Kafka
Spark Streaming
Api Design
Api Gateway
REST
Pagination
Api Management
Docker

Job description

We are seeking a Google Cloud Platform FHIR API Architect and Engineer to design, develop, maintain, and support custom-built HL7 FHIR APIs on Google Cloud Platform. This role will focus on reading large-scale clinical data from Google Cloud Bigtable, transforming it into FHIR-compliant resources, and exposing it through high-performance, secure REST APIs for downstream consumers. This role requires working closely with data teams, frequently in a matrixed environment as part of a broader project team. This is a hands-on engineering role requiring deep experience in custom API development, healthcare data standards, and Google Cloud Platform-native services, with responsibility across the full API lifecycle from design through production support. This role requires self-starters who are proficient in API problem solving and capable of bringing clarity to complex situations. Due to the emerging and fast-evolving nature of Google Cloud Platform technology and practice, the position requires that one stay well-informed of technological advancements and be proficient at putting new innovations into effective practice. As an API Architect and Engineer, you will collaborate closely with all team members to create a modular, scalable solution that addresses current needs, but will also serve as a foundation for future success. Responsibilities This role will provide API development for specific business environments.

  • Adheres to and supports data engineering API best practices, processes, and standards.
  • Produce high quality, modular, reusable code that incorporates best practices and serves as an example for less experienced engineers.
  • Build productive and healthy relationships within the department and other teams to foster growth of our culture, our people, and our platforms.
  • Works in an environment with rapidly changing business requirements and priorities
  • Shares knowledge and experience to contribute to growth of overall team capabilities.
  • Actively participate in technical group discussions and adopt any modern technologies to improve the development and operations.
  • Self-directed, hands-on engineer
  • Comfortable working in regulated healthcare environments
  • Strong communicator with both technical and business stakeholders

Requirements

  • 10+ years of IT experience
  • 5+ years of hands-on experience in API development or data engineering
  • Strong experience building custom HL7 FHIR APIs
  • Proven experience working with Google Cloud Bigtable, Cloud Run, GKE, Cloud Functions
  • Strong understanding of FHIR resources and search semantics
  • Proficiency in Java, Python, or Scala
  • Experience with RESTful API design, pagination, filtering, and versioning
  • Experience with OAuth 2.0, API gateways, and IAM
  • Strong debugging and production support experience

Qualifications

  • Bachelor s degree in computer science or related discipline.

Preferred / Nice-to-have

  • Experience in healthcare, payer, or provider environments

  • Experience with Docker and Kubernetes (GKE)

  • Experience defining custom FHIR profiles and extensions.

  • Prior experience supporting high-volume, consumer-facing APIs.

  • Hands-on experience with Google Cloud Platform platform and experience with many of the following components:

  • Spark Streaming, Kafka, Pub/Sub, BigQuery, Dataflow

  • Cloud Composer, DataProc, GitHub, CI/CD, Cloud Logging

  • RDBMS MS SQL Server/Oracle/Teradata/Oracle

  • NoSQL, HBase, Cassandra, MongoDB, In-memory, Columnar, other emerging technologies

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