Senior FHIR Data Platform Engineer

VetsEZ

. Optimize the HAPI FHIR JPA persistence layer within PostgreSQL, including search parameters, custom indexes, partitioning strategies, reindexing, resource expunge and history policies, Bulk Data export performance, and asynchronous MDM link tables .

Posted 11/5/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in optimizing PostgreSQL databases and HAPI FHIR JPA persistence layers, ensuring high availability and performance in healthcare data environments. Proficient in developing healthcare quality reporting solutions and executing data quality checks in compliance with industry standards.

Highest-signal resume keywords

PostgreSQL OptimizationHAPI FHIR JPA Server InternalsHealthcare Quality Reporting SolutionsAnalytical SQL QueriesHigh-Availability Database Architectures

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PostgreSQLHAPI FHIRJava 21Spring BootCQLAnalytical SQLData Quality ValidationDatabase Performance MonitoringDisaster Recovery PlanningSecure Development Practices

Tools & Technologies

Amazon Aurora PostgreSQLApache IcebergApache SparkKafka StreamsOpenSearchGrafanaOHDSI Tools

Industry Keywords

Healthcare DataHEDISUS Core STU 9Medicaid ProgramsHealth Information ExchangesFederal Healthcare Data ModernizationHIPAA Compliance

Tech Stack

Tools & technologies

ApacheCloudGrafanaJavaKafkaOraclePostgresSparkSpringSpring BootSpringBootSQL

About the role

Key responsibilities & impact

Optimize the HAPI FHIR JPA persistence layer within PostgreSQL, including search parameters, custom indexes, partitioning strategies, reindexing, resource expunge and history policies, Bulk Data export performance, and asynchronous MDM link tables
Design and execute FHIR data quality checks, including US Core STU 9 conformance, duplicate and orphaned reference detection, and source-event precedence validation
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 purposes
Collaborate with data engineers on transforming published healthcare data into OMOP when FHIR-side changes affect downstream datasets
Produce capacity planning and performance evidence supporting 99.9% availability, 15-minute Recovery Point Objective (RPO), and 4-hour Recovery Time Objective (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
Partner with cloud platform engineers, data engineers, architects, and healthcare interoperability teams
Take on additional tasks and responsibilities as needed to support team objectives and ensure project success

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field
7+ years of professional PostgreSQL experience in production environments
Strong hands-on experience with PostgreSQL query planning, index design, partitioning, and performance troubleshooting across multi-terabyte databases
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
Working knowledge of OMOP Common Data Model (CDM) v5.4, including concept, vocabulary, and clinical-event tables, with experience writing analytical SQL queries
Experience developing healthcare quality reporting solutions using FHIR-based measures, CQL, FHIR Measure/MeasureReport, digital quality measures (dQM), HEDIS, or equivalent clinical quality reporting standards
Proficiency in Java 21, Spring Boot, Flyway, and Git
Ability to extend HAPI FHIR interceptors and measure-reporting services
Ability to follow secure development practices in HIPAA-regulated environments
Experience with Amazon Aurora PostgreSQL, Apache Iceberg, Apache Spark, Kafka Streams, OpenSearch, and Grafana
Experience supporting Medicaid programs, state Health Information Exchanges (HIEs), or VA/federal healthcare data modernization initiatives
Experience working with healthcare data extracts from Epic, Meditech, Oracle Health, or athenahealth
Experience with OHDSI tools such as Achilles or Data Quality Dashboard (DQD) and healthcare data quality validation
Experience with high-availability database architectures, disaster recovery planning, backup verification, and production performance monitoring
U.S. Citizenship is required
All selected candidates must successfully complete a background check
Ability to obtain and maintain a Government/Public Trust clearance, including required fingerprinting, when required for the position
Must reside within the continental US
Sponsorship is not offered

Benefits

Comp & perks

Medical/Dental/Vision
401k with Employer Match
PTO + Federal Holidays
Corporate Laptop
Training Opportunities
Remote Opportunity