Sr Semantic graph engineer

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

Semantic Graph
python

Job Details

  • Design and implement semantic/knowledge graph architectures to represent organizational data models and relationships.
  • Develop and maintain ontologies and taxonomies aligned with domain knowledge and business logic.
  • Integrate heterogeneous data sources into the knowledge graph using ETL pipelines or semantic data ingestion frameworks.
  • Use graph databases (e.g., Neo4j, Amazon Neptune, GraphDB, Stardog, Blazegraph) for storage, querying, and reasoning.
  • Write and optimize SPARQL, Cypher, or Gremlin queries for data exploration and analytics.
  • Collaborate with data scientists, AI engineers, and software developers to support semantic search, entity resolution, and NLP/LLM applications.
  • Implement semantic reasoning and inference rules to enrich data relationships.
  • Contribute to the definition and adoption of metadata standards, data governance, and data lineage practices.

Core Technical Skills

Semantic Web & Knowledge Representation - RDF, RDFS, OWL, SKOS, SHACL, JSON-LD

  • Query Languages- SPARQL, Cypher, Gremlin
  • Graph Databases- Neo4j, Amazon Neptune, GraphDB, Stardog, Blazegraph, Ontotext
  • Python, Apache Jena, RDFLib, SPARQL endpoints, ETL frameworks
  • GraphQL, RDF4J, OWL API
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