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FHIR API Architect and Engineer - Google Cloud Platform
Nashville, TN
Contract
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.
FHIR API Architect and Engineer - Google Cloud Platform
Nashville, TN
Contract
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
- Design custom FHIR API solutions on Google Cloud Platform.
- Define scalable data access patterns for Cloud Bigtable API workloads.
- Design FHIR resource mappings, profiles, and response structures.
- Partner with platform, security, and data teams to align with enterprise standards.
- Build custom RESTful FHIR APIs
- Implement resource-level endpoints (e.g., Patient, Encounter, Observation)
- Develop business logic for filtering, pagination, search parameters, and versioning.
- Deploy APIs using Cloud Run, GKE, or App Engine
- Implement caching and performance optimization strategies.
- Read and optimize data retrieval from Google Cloud Bigtable
- Transform source data into FHIR-compliant JSON responses.
- Handle large volumes of clinical data with low latency.
- Implement validation and error handling for FHIR payloads.
- Implement OAuth 2.0, IAM, and service-to-service authentication.
- Ensure secure handling of PHI and HIPAA-regulated data.
- Implement audit logging, encryption in transit and at rest.
- Enforce API throttling, quotas, and access controls.
- Support CI/CD pipelines for API deployment and releases.
- Monitor APIs using Cloud Monitoring and Cloud Logging
- Troubleshoot production issues and perform root-cause analysis.
- Optimize cost, performance, and reliability of API services.
- 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
- Bachelor s degree in computer science or related discipline.
- 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
- Google Cloud Platform Cloud Professional Data Engineer