Senior Knowledge Graph Engineer

🔥 14 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Quantiphi

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 Series A on 2019-12

Consulting • Healthcare • Logistics

Quantiphi is a leading AI-first digital engineering company that leverages a decade of industry expertise to empower businesses through scalable, secure, and adaptable AI solutions. By integrating cutting-edge technology with real-world applications, Quantiphi transforms organizations across various sectors including healthcare, finance, education, and retail. Their services span AI applications, data analytics, cloud infrastructure modernization, and custom AI implementations. Quantiphi partners with technology giants like AWS, Google Cloud, NVIDIA, and others to drive AI adoption and deliver transformational opportunities for enterprises.

📋 Description

• 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

🎯 Requirements

• 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 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 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

• Upskilling and professional development opportunities • Exposure to AI, ML, data, and cloud technologies • Opportunities to work with Fortune 1000 companies • Work in a research-focused organization with 60+ patents filed • Collaboration with talented colleagues • Remote work arrangement • Up to 25% travel to client sites across the US