Knowledge Engineer

Overview

Crown Point Technologies is seeking a Knowledge Engineer to support the development of enterprise data and knowledge solutions in a fast-paced pharmaceutical environment. This role focuses on structuring complex data into clear, usable models that support analytics, integration, and decision-making.

Key Responsibilities

Design and maintain ontologies and knowledge models Use semantic technologies (RDF, OWL, SPARQL) to structure and query data Work with stakeholders to understand data needs and translate them into models Build and test knowledge graph prototypes Collaborate with engineers and data scientists to integrate solutions into applications and pipelines Support data consistency, documentation, and best practices Manage multiple priorities in a fast-paced environment Qualifications Applicants must be authorized to work in the United States without sponsorship now or in the future.

Bachelor’s or Master’s degree in a relevant field (Computer Science, Data, etc.) 3–7 years of experience with semantic technologies or knowledge modeling Experience with ontology tools (e.g., Protégé) or graph databases (e.g., Graph Studio, Neo4j, Stardog, ) Experience in pharma, life sciences, or regulated environments is a plus Familiarity with Python is a plus Strong communication and problem-solving skills Salary $80,000 - $165,000 per year