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Data Engineer – Knowledge Graph & Ontology

Worldwide
4+

Experience

Remote

Job Type

B2+

English Level

Who We’re Looking For

Jaxel is looking for a skilled and proactive Data Engineer who will develop and maintain the semantic backbone of company’s AI platform. Design domain-specific ontologies, manage knowledge graph pipelines, and enable advanced reasoning for claims registration and fraud detection.

What You’ll Do
  • Ontology Design: Create and maintain ontologies for health insurance claims, medical coding standards (ICD, CPT), document templates, and investigation workflows.

  • Graph Construction: Lead ingestion, curation, and graph modeling of structured and unstructured data.

  • Semantic Integration: Define schema mappings and alignment strategies between client data models and the core ontology.

  • Reasoning & Validation: Implement rule-based validation and graph-based consistency checks (e.g., temporal constraints).

  • Scalability & Performance: Optimize graph storage and query performance for real-time alerting.

  • Cross-Functional Collaboration: Work with data scientists to embed semantic reasoning into ML pipelines and agent workflows.

What You’ll Need
  • 5+ years of experience in knowledge engineering, ontology development, or linked data projects.

  • Deep expertise with OWL, RDF, SHACL, or comparable semantic standards.

  • Experience building and querying large-scale knowledge graphs using Neo4j, Amazon Neptune, TigerGraph, etc.

  • Proficiency in SPARQL, Cypher, or Gremlin.

  • Familiarity with healthcare ontologies and standards (SNOMED CT, LOINC, ICD).

  • Strong analytical skills and ability to communicate between technical and domain experts.

What We Offer
  • Competitive salary
  • Remote work opportunity
  • Comfortable work in your local time zone
  • Flexible work schedule
  • Professional growth and development
  • Multicultural working environment