Knowledge Engineer

About us At Crown Point Technologies, we're not just another software development or data engineering company — we're a passionate team dedicated to making a real impact. As a small business, we specialize in delivering critical full-stack software development and data engineering solutions to a diverse range of clients, spanning both the US Government and Commercial sectors. From supporting the Department of Defense to collaborating with pharmaceutical and manufacturing companies, our mission is clear: to provide exceptional opportunities in software, knowledge, and system engineering. Job Description: Crown Point Technologies is seeking a highly skilled Knowledge Engineer to support a cutting-edge aerospace program. The ideal candidate will combine strong data engineering and knowledge representation skills with hands-on experience in application development and modern AI technologies. You will play a critical role in building data pipelines, semantic models, and knowledge graph solutions that drive advanced analytics, dashboarding, and intelligent decision support. Key Responsibilities Design, develop, and deploy data integration pipelines to support application development and aerospace mission requirements. Implement graph databases and graph studio deployments to model complex relationships and support mission-critical use cases. Develop and maintain ontologies, taxonomies, and semantic models to enable knowledge representation and reasoning. Build interactive dashboards and visualization solutions for technical and non-technical users. Collaborate with developers and data scientists to integrate structured and unstructured data sources. Apply Large Language Models (LLMs) and agent-based AI solutions to enhance analytics and decision-making. Ensure data systems and workflows comply with government security and quality standards. Contribute to architectural discussions, documentation, and best practices in knowledge and data engineering. Required: Active Secret Clearance (minimum). Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related technical field (or equivalent experience). Hands-on experience with data integration, ETL, or pipeline development. Proficiency with graph databases (e.g., Neo4j, AWS Neptune, or similar). Experience in ontology development and knowledge representation (e.g., RDF, OWL, SPARQL). Strong programming skills in Python, Java, or similar languages. Familiarity with dashboarding tools (e.g., Tableau, Power BI, Grafana). Understanding of LLMs, AI agents, or machine learning frameworks. Preferred: Knowledge of cloud platforms (AWS, Azure, GCP) for data engineering and deployment. Familiarity with DevSecOps practices for secure deployment of data solutions. Strong problem-solving, communication, and collaboration skills. Job Type: Full-time Pay: $115,000.00 - $175,000.00 per year Benefits: 401(k) matching Dental insurance Disability insurance Flexible schedule Health insurance Health savings account Life insurance Paid parental leave Paid time off Professional development assistance Referral program Tuition reimbursement Vision insurance Security clearance: Secret (Required) Ability to Commute: Roy, UT 84067 (Required) Work Location: In person