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Role: Senior Knowledge Graph Engineer
Experience: 5+ years of software/data engineering experience
Employment Type: Full-Time (US Remote)
Work Location: US Remote (Up to 25% travel to client sites across the US)
Role Overview
We are looking for a Senior Knowledge Graph Engineer to design, build, and productionize knowledge graph solutions for healthcare and clinical data.
Our architecture uses a hybrid graph approach, combining a Labeled Property Graph (LPG) for patient/clinical data with an RDF-based graph for clinical ontology and semantic knowledge.
The role will focus on translating ontology and mapping specifications into scalable graph solutions, including data transformation, graph ingestion, concept/entity linking, provenance, validation, and querying.
You will work closely with ontology, terminology, FHIR, clinical/domain, and data engineering teams to translate agreed semantic and mapping decisions into robust technical implementations.
Key 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 appropriate graph representations.
Implement mappings between patient/clinical data and concepts represented in the clinical ontology.
Develop reusable mapping and transformation patterns rather than one-off implementations.
Implement consistent approaches for entity identity, canonical identifiers/URI/IRI, relationships, and concept linking.
Maintain provenance and traceability between source data, mapping rules, and resulting graph entities and relationships.
Develop and optimize graph queries using Cypher and/or SPARQL.
Implement automated validation and testing to identify unresolved mappings, inconsistent relationships, and other graph-quality issues.
Work with ontology, FHIR, terminology, and clinical SMEs to clarify ambiguous or missing mapping requirements.
Participate in technical design, architecture reviews, code reviews, and engineering best practices.
Required Qualifications
5+ years of software/data engineering experience, including hands-on experience with knowledge graphs or graph technologies.
Strong understanding of knowledge graph and graph data modeling concepts.
Hands-on experience with either
Labeled Property Graphs, such as Neo4j/Cypher or equivalent, or
RDF/semantic technologies, such as RDF/RDFS, OWL, and SPARQL.
Working knowledge of, or ability to work across, both LPG and RDF graph models.
Strong programming skills in Python, Java, or similar languages.
Experience building production data ingestion, transformation, or integration pipelines.
Experience with graph databases and/or RDF triple stores.
Understanding of entity identity, graph relationships, mappings, provenance, and data quality.
Ability to translate conceptual models and mapping specifications into production implementations.
Ability to work effectively with evolving requirements and cross-functional technical/domain teams.
Other Qualifications (OQs)
Hands-on experience with both LPG and RDF/semantic knowledge graphs.
Healthcare or life sciences data experience.
Familiarity with HL7 FHIR, including concepts such as Coding, CodeableConcept, Reference, and Identifier.
Experience with ontology-driven data integration or semantic mapping.
Experience with SHACL or other graph/semantic validation approaches.
Experience with terminology/concept normalization and canonical concept mapping.
Familiarity with clinical terminologies such as SNOMED CT, LOINC, RxNorm, ICD, or UMLS.
Cloud and CI/CD experience.
What Sets You Apart?
Hands-on experience with both LPG and RDF/semantic knowledge graphs.
Healthcare or life sciences data experience with familiarity with HL7 FHIR and clinical terminologies (SNOMED CT, LOINC, RxNorm, ICD, or UMLS).
Experience with ontology-driven data integration, semantic mapping, and SHACL/semantic validation approaches.
Cloud and CI/CD engineering experience in production environment.
What’s In It For YOU At Quantiphi?
Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
Stay ahead of the curve, immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 1000 companies.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
