Data/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/Data 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: $140,000.00 - $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:

• St. Louis, MO 63045 (Required)

Work Location: In person