Knowledge Graph Engineer: Ontology & Graph DB Pittsburgh

Pittsburgh Tomorrow; Pittsburgh (Allegheny County); Presencial; USD 90.000 - 130.000; Jornada completa

Descripción de la vacante

Pittsburgh Tomorrow is seeking a Graph Database Specialist in Pittsburgh, onsite, to define and implement ontology and knowledge-graph solutions for complex enterprise data. The role emphasizes hands-on design, development, and collaboration with data teams and business stakeholders.

You will integrate structured and unstructured data, work with RDF/SPARQL and Graph DB technologies, and potentially lead Data Ontology initiatives across multiple projects with Architectural guidance.

Formación

• Strong hands-on experience in Data Ontology, Knowledge Graphs and semantic data modeling.
• Hands-on experience with Graph Database technologies and building/querying enterprise Knowledge Graph solutions, RDF/SPARQL desirable.
• Experience with Siemens Graph Studio (Anzo) including ontology/knowledge-graph solutions on the platform preferred.
• Ability to integrate structured and unstructured data from multiple enterprise sources into an ontology/knowledge-graph model.
• Lead/support Data Ontology and GraphDB initiatives across multiple projects.

Responsabilidades

• Lead or support Data Ontology and GraphDB initiatives across multiple projects.
• Translate business concepts into semantic models working with architects, data teams and stakeholders.
• Develop, troubleshoot and implement graph-based solutions end-to-end.

Conocimientos

Ontology design

Knowledge graphs

Semantic modeling

RDF/SPARQL

Graph DB tech

Data integration

Hands-on design

Herramientas

Siemens Graph Studio (Anzo)

Descripción del empleo

Pittsburgh Tomorrow is seeking a Graph Database Specialist in Pittsburgh, onsite, to define and implement ontology and knowledge-graph solutions for complex enterprise data. The role emphasizes hands-on design, development, and collaboration with data teams and business stakeholders.

You will integrate structured and unstructured data, work with RDF/SPARQL and Graph DB technologies, and potentially lead Data Ontology initiatives across multiple projects with Architectural guidance.