Systems Engineer - ISSE

Job Description

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 Skills

• • Active TS/SCI with relevant polygraph
• • 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 Skills

• • 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