Senior Knowledge Graph Engineer – Healthcare Ontology & FHIR

Quantiphi; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Quantiphi is seeking a Senior Knowledge Graph Engineer to design, build, and productionize knowledge graph solutions for healthcare data. You will lead LPG and RDF graph initiatives, translating ontology and mapping specs into scalable pipelines.

Collaborate with ontology, terminology, FHIR, and data engineering teams to implement provenance, validation, and robust querying using Cypher and SPARQL. You will shape reusable patterns and champion data quality across the platform.

Qualifications

• 5+ years of software/data engineering experience with knowledge graphs or graph technologies.
• Strong understanding of knowledge graph data modelling concepts.
• Hands-on experience with LPGs and RDF/semantic technologies.
• Proficient in Python or Java and building production data pipelines.

Responsibilities

• Develop, implement, build, and maintain production knowledge graph solutions across LPG and RDF graph technologies.
• Build scalable pipelines to transform healthcare/FHIR data into graph representations.
• Implement mappings between patient/clinical data and concepts in the clinical ontology.
• Develop reusable mapping and transformation patterns for production use.
• Implement consistent approaches for identity, canonical identifiers, relationships, and linking.
• Maintain provenance and traceability between source data, mapping rules, and graph entities.
• Develop and optimize graph queries using Cypher and SPARQL.
• Implement automated validation and testing to catch mapping issues and quality problems.
• Collaborate with ontology, FHIR, terminology, and clinical SMEs to clarify requirements.

Skills

Knowledge graphs

Graph data modeling

Python

Java

Production data pipelines

Cross-functional collaboration

Tools

Neo4j/Cypher

RDF/OWL/SPARQL

SHACL

Job description

Quantiphi is seeking a Senior Knowledge Graph Engineer to design, build, and productionize knowledge graph solutions for healthcare data. You will lead LPG and RDF graph initiatives, translating ontology and mapping specs into scalable pipelines.

Collaborate with ontology, terminology, FHIR, and data engineering teams to implement provenance, validation, and robust querying using Cypher and SPARQL. You will shape reusable patterns and champion data quality across the platform.