Note: The job is a remote job and is open to candidates in USA. Quantiphi is hiring a Senior Knowledge Graph Engineer to design, build, and productionize knowledge graph solutions for healthcare and clinical data. The role translates ontology and mapping specifications into scalable graph solutions, including data transformation, graph ingestion, concept linking, provenance, validation, and querying.
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
Skills
- 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
- 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
- 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
Benefits
- US Remote work arrangement
- Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology
- Gain exposure to breakthrough AI, ML, data, and cloud technologies and work with Fortune 1000 companies
Company Overview
Company H1B Sponsorship