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 OverviewWe 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, orRDF/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!
