Data Engineer

Description

BT-513 – Data Engineer

Skill Level: Senior

Location: Chantilly, VA (fully on-site, no remote option available)

Please do NOT apply if you do not have an active Poly clearance. Those without a Poly will not be considered.

The company is seeking a highly skilled Systems Engineering with strong Data Engineering experience to design, secure, and optimize mission-critical data solutions. This role blends system engineering, secure cloud architecture, advanced analytics, ETL/AI ML data engineering, virtualization technologies, and modern development practices. The ideal candidate has experience operating in classified AWS environments, developing with Cypher/Python/Java, and working with graph technologies, while communicating complex concepts effectively to diverse stakeholders.

Responsibilities

• Design, build, and optimize ETL pipelines, including data flows supporting AI/ML/LLM projects and large-scale analytics.
• Clean, preprocess, analyze, and visualize medium to large datasets using modern analytic and statistical methods.
• Build and optimize Neo4j graph database solutions including schema design, relationship modeling, and efficient Cypher query development.
• Develop software components in Cypher, Python, Java, or JavaScript following secure development practices.
• Maintain documentation for datasets, queries, security artifacts, engineering decisions, and developed software components.
• Required Qualifications:
• Minimum of 5 years with BS/BA including at least 2 years of Sponsor experience
• Hands-on experience with ETL pipelines, data modeling, activity modeling, and AI/ML supportive data engineering
• Proficiency in at least one programming language (Cypher, Python, Java)
• Experience with graphing database technologies (Neo4j and Cypher query language expertise preferred)
• Demonstrated experience cleaning, modeling, and visualizing medium to large datasets
• Experience developing dashboards or system visualizations
• Experience operating with modern software virtualization tools like Docker, Kubernetes
• Understanding of cloud infrastructure in High security environments (classified)
• Ability to clearly communicate complex technical concepts to both technical and nontechnical audiences
• Customer-specific experience supporting mission systems or classified programs
• Desired Qualifications
• Exposure to AI/ML or LLM system engineering and data workflows
• Familiarity with Agile development frameworks and cloud native design patterns
• Experience visualizing data in Tableau