Peak Partners
Data/Knowledge Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data/Knowledge Engineer with an active Secret Clearance, requiring a Bachelor’s degree in a related field. It involves on-site work in St Louis, MO, focusing on data integration, graph databases, and AI technologies, with a contract length and pay rate unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 25, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Yes
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📍 - Location detailed
Greater St. Louis
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🧠 - Skills detailed
#Security #Semantic Models #Programming #Deployment #Tableau #Data Integration #Cloud #AI (Artificial Intelligence) #ML (Machine Learning) #Microsoft Power BI #Java #Graph Databases #Neo4J #Documentation #RDF (Resource Description Framework) #Grafana #Data Engineering #Computer Science #Visualization #BI (Business Intelligence) #"ETL (Extract #Transform #Load)" #Azure #GCP (Google Cloud Platform) #DevSecOps #Databases #AWS (Amazon Web Services) #Python #Data Science
Role description
Peak Partners has a Government Contractor client for both the Intelligence and NGA communities, who is looking for a Data/Knowledge Engineer. The ideal candidate will combine strong data engineering and knowledge representation skills with hands-on experience in application development and modern AI technologies.
The job requires an on-site presence at a government agency located in St Louis, MO.
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 Qualifications:
• 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 Qualifications:
• Knowledge of cloud platforms (AWS, Azure, GCP) for data engineering and deployment.
• Familiarity with DevSecOps practices for secure deployment of data solutions.
If this sounds like an opportunity for you, we would love to review your resume for consideration.
Peak Partners has a Government Contractor client for both the Intelligence and NGA communities, who is looking for a Data/Knowledge Engineer. The ideal candidate will combine strong data engineering and knowledge representation skills with hands-on experience in application development and modern AI technologies.
The job requires an on-site presence at a government agency located in St Louis, MO.
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 Qualifications:
• 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 Qualifications:
• Knowledge of cloud platforms (AWS, Azure, GCP) for data engineering and deployment.
• Familiarity with DevSecOps practices for secure deployment of data solutions.
If this sounds like an opportunity for you, we would love to review your resume for consideration.
