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Semantic Data Engineer

Analytics SolutionsCollegeville, PA🇺🇸United StatesPosted 22 Jul 2026

Why This Role Stands Out

This hybrid Semantic Data Engineer role offers a fantastic opportunity to build and maintain sophisticated data models using graph databases and ontologies, directly impacting advanced analytics and contextual search. You'll thrive here if you possess strong skills in Semantic models, RDF/OWL, Python, and NoSQL, leveraging your 8-10 years of IT experience in a collaborative environment. This is an exciting chance to advance your career in a dynamic field with a reputable company.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Job Title: Semantic Data Engineer

Location: Collegeville, PA

Duration: 6 months

Mandatory Skills: Experience with Semantic models, Graph databases, RDF/OWL, Python + GraphDB, NoSQL, Ontologies and taxonomies.

Role Descriptions:

  • Design, implement, and maintain semantic models and graph databases to unify complex enterprise data.
  • Translate business concepts into structured relationships, building data pipelines and query systems that power advanced analytics, contextual search etc.
  • Create and maintain ontologies, taxonomies, and semantic models (using RDF/OWL or property graph models) to represent domain knowledge

Key Skills: Python, NoSQL, GraphDB

Experience Required:

  • Need min of 8-10 years of IT Experience

Skills

Python

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