Senior FHIR Data Platform Engineer
New
V
VetsEZHealthcare data
The candidate must reside within the continental US.Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 7+ years of professional PostgreSQL experience in production environments; 3+ years of hands-on experience with HAPI FHIR JPA server internals.
- Required Skills
- PostgreSQLGitSpring Boot
Requirements
- Hold a bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field.
- Have 7+ years of professional PostgreSQL experience in production environments.
- Bring hands-on PostgreSQL query-planning, index-design, partitioning, and performance-troubleshooting experience across multi-terabyte databases.
- Have 3+ years of hands-on experience with HAPI FHIR JPA server internals, including resource tables, search-parameter indexing, Bulk Data, MDM, FHIR R4, and US Core.
- Have working knowledge of OMOP Common Data Model v5.4, including concept, vocabulary, and clinical-event tables, and experience writing analytical SQL queries.
- Have experience developing healthcare quality-reporting solutions using FHIR-based measures, CQL, FHIR Measure/MeasureReport, digital quality measures, HEDIS, or equivalent standards.
- Be proficient in Java 21, Spring Boot, Flyway, and Git.
- Be able to extend HAPI FHIR interceptors and measure-reporting services while following secure development practices in HIPAA-regulated environments.
- Be able to obtain and maintain a Government/Public Trust clearance, including required fingerprinting, when required for the position.
- Additional qualifications include experience with Amazon Aurora PostgreSQL, Apache Iceberg, Apache Spark, Kafka Streams, OpenSearch, or Grafana.
Responsibilities
- Optimize the HAPI FHIR JPA persistence layer in PostgreSQL, including search parameters, indexes, partitioning, reindexing, resource expunge and history policies, Bulk Data export, and asynchronous MDM link tables.
- Design and execute FHIR data-quality checks for US Core STU 9 conformance, duplicate and orphaned references, and source-event precedence.
- Develop and maintain measure-reporting services for digital quality measurement engines and HEDIS baselines.
- Support FHIR-based measure evaluation, facility and statewide reporting, administrative-effort baselines, and DHHS monthly service report exports.
- Query OMOP Common Data Model and Apache Iceberg data marts for reporting.
- Collaborate with data engineers on transforming published healthcare data into OMOP when FHIR-side changes affect downstream datasets.
- Produce capacity-planning and performance evidence for platform availability, RPO, and RTO requirements.
- Support cloud platform engineers with Aurora PostgreSQL sizing, read-replica configurations, backup verification, and database performance optimization.
- Deliver migration scripts, runbooks, dashboards, and test suites into designated repositories.
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