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