BT-496 – Information Systems Security 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.**
Overview We are seeking a highly skilled Systems Engineering with strong Information Systems Security Engineer (ISSE) and Data Engineering experience to design, secure, and optimize mission-critical cloud and 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/JavaScript, and working with graph technologies, while communicating complex concepts effectively to diverse stakeholders.
Key Responsibilities:
Information Systems Security Engineering (ISSE)
Lead and execute ISSE activities across the full system lifecycle, including security architecture development, security control selection/implementation, and ensuring compliance with NIST and customer specific security requirements.
Develop, maintain, and update A&A/ATO documentation including SSPs, POA&Ms, test procedures, compliance evidence, and continuous monitoring artifacts.
Conduct routine system security scans, vulnerability assessments, patch/update actions, and remediation workflows for cloud and on premises systems.
Integrate security-by-design principles into system architectures, data flows, ETL pipelines, and mission workflows.
Partner with system engineers, developers, and mission customers to align technical solutions with accreditation requirements, classification constraints, and operational risk considerations.
Data Engineering
Design, build, and optimize ETL pipelines, including data flows supporting AI/ML/LLM projects and large-scale analytics.
Perform functional and technical analysis, internal control and risk analysis, cost estimation, timeline assessments, and trade studies supporting mission solutions.
Apply system engineering disciplines and concepts of operations across cross organizational environments, ensuring secure and scalable system design.
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.
Collaborate within Agile development frameworks and contribute to iterative planning cycles, sprint activities, and CI/CD processes.
Maintain documentation for datasets, queries, security artifacts, engineering decisions, and developed software components.
Required Qualifications:
Minimum of 8 years with BS/BA including at least 2 years of Sponsor experience; Minimum of 6 years with MS/MA including at least 2 years of Sponsor experience; Minimum of 3 years with PhD including at least 2 years of Sponsor experience; an additional four years of experience may be considered in lieu of degree
Demonstrated experience designing, securing, and operating data flow solutions in high security/classified environments
Strong ISSE background including A&A/ATO, security architecture, vulnerability analysis, accreditation documentation, and continuous monitoring requirements
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, JavaScript)
Experience with graphing database technologies (Neo4j and Cypher query language expertise preferred)
Demonstrated experience cleaning, modeling, and visualizing medium to large datasets
Ability to clearly communicate complex technical concepts to both technical and nontechnical audiences
Customer-specific experience supporting mission systems or classified programs
Desired Qualifications
Experience with enterprise data strategy, data governance, stewardship practices, and metadata management
Experience developing dashboards or system visualizations
Exposure to AI/ML or LLM system engineering and data workflows
Familiarity with Agile development frameworks and cloud native design patterns