Knowledge EngineerCrown 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 modelsUse semantic technologies (RDF, OWL, SPARQL) to structure and query dataWork with stakeholders to understand data needs and translate them into modelsBuild and test knowledge graph prototypesCollaborate with engineers and data scientists to integrate solutions into applications and pipelinesSupport data consistency, documentation, and best practicesManage multiple priorities in a fast-paced environmentQualifications: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 modelingExperience 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 plusFamiliarity with Python is a plusStrong communication and problem-solving skillsSalary: $80,000 - $165,000 per year