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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Systems Engineer - Security & Data Engineering - **Company:** Fusion - **Location:** Chantilly, VA, United States - **Experience:** Expert - **Salary:** $100,000 - $215,000 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Systems Engineering, Big Data, Cloud Engineering, Cyber Security, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Graph Database, Python (Programming Language), Machine Learning, Meta-Data Management, Neo4j, Secure Coding, Data Streaming, Systems Architecture, Data Processing, Large Language Models, Data Strategy, Data Management, Data Pipelines, Vulnerability Analysis - **Published:** October 26, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=60f70afd293d16d7 ## About the Role Active Top Secret/SCI with Polygraph., Bachelor's degree with at least eight years of experience. Master's degree with at least six years of experience. Doctoral degree with at least three years of experience. An additional four years of experience may be considered in lieu of a degree. At least two years of customer-specific experience, including experience supporting mission systems or classified programs. Demonstrated experience designing, securing, and operating data flow solutions in classified or other high-security environments. Strong information systems security engineering experience, including security architecture, A&A/ATO processes, vulnerability analysis, authorization documentation, and continuous monitoring. Hands-on experience with ETL pipelines, data modeling, activity modeling, and data engineering supporting AI/ML applications. Proficiency in at least one of the following: Cypher, Python, Java, or JavaScript. Experience with graph database technologies. Demonstrated ability to clean, model, and visualize medium-to-large datasets. Ability to communicate complex technical concepts clearly to technical and nontechnical audiences. , Desired Skills Expertise with Neo4j and the Cypher query language. Experience with enterprise data strategy, data governance, data stewardship, and metadata management. Experience developing dashboards and system visualizations. Experience supporting AI/ML or LLM system engineering and data workflows. Familiarity with Agile development frameworks and cloud-native design patterns. ## Description Fusion Innovation is seeking a Senior Systems Engineer to design, secure, and improve cloud and data solutions supporting critical intelligence missions. This position combines information systems security engineering with hands-on data engineering, helping mission teams move from complex technical requirements to secure, reliable systems and usable data. You will lead security engineering activities throughout the system lifecycle while developing data pipelines, supporting advanced analytics, and building graph database solutions. Working alongside engineers, developers, and mission partners, you will embed security into system designs and data workflows, support system authorization, and address the technical challenges of operating in classified environments. The ideal candidate brings strong ISSE experience, practical data engineering skills, and the ability to explain technical decisions clearly to both technical and nontechnical stakeholders. Key Responsibilities Lead information systems security engineering activities across the system lifecycle, including security architecture, control selection and implementation, and compliance with NIST and customer-specific requirements. Develop and maintain assessment and authorization (A&A) and Authority to Operate (ATO) documentation, including System Security Plans (SSPs), Plans of Action and Milestones (POA&Ms), test procedures, and supporting evidence. Perform security scans and vulnerability assessments, coordinate patches and updates, and support remediation across cloud and on-premises systems. Incorporate security requirements into system architectures, data flows, extract, transform, and load (ETL) pipelines, and operational workflows. Partner with engineering and mission teams to address authorization requirements, classification constraints, and operational risks. Maintain continuous monitoring documentation and evidence supporting ongoing system security. Data Engineering and Analytics Design, develop, and optimize ETL pipelines supporting mission analytics, artificial intelligence and machine learning (AI/ML), and large language model (LLM) initiatives. Clean, preprocess, model, analyze, and visualize medium-to-large datasets using analytical and statistical methods. Build and optimize Neo4j graph database solutions, including schemas, relationship models, and Cypher queries. Develop software components and data processing capabilities using Cypher, Python, Java, or JavaScript, following secure development practices. Document datasets, queries, data flows, and software components to support maintenance and collaboration. Systems Engineering and Technical Collaboration Evaluate requirements and conduct functional and technical analyses, risk assessments, cost estimates, schedule assessments, and technical trade studies. Apply systems engineering principles and concepts of operations to develop secure, scalable solutions across organizational boundaries. Support cloud and data architecture decisions within classified AWS environments. Contribute to Agile planning, sprint activities, and continuous integration and continuous delivery (CI/CD) processes. Communicate engineering decisions, security considerations, and analytical findings to diverse stakeholders.