Security Data Analytics Engineer TS/SCI
Aperio GlobalAbout the role
<div class="content-intro"><p><strong>Our Mission Statement</strong></p> <p>At Aperio Global, we bring together experts in cybersecurity, AI, data analytics, and cloud technologies to solve complex national security challenges. We focus on work where our expertise creates the greatest impact.</p> <p>Our team includes technologists, Intelligence Community veterans, and security professionals who believe the best solutions come from collaboration, accountability, and technical excellence. From cyber operations and AI platforms to cloud-native software and emerging technologies, our work speaks for itself.</p> <p><strong>Come Solve With Us</strong></p> <p>We offer competitive pay, comprehensive benefits, retirement savings with company match, generous paid time off, and professional development. We invest in our people because great missions require great teams.</p></div><p>We are seeking an advanced <strong>Security Data Analytics Engineer</strong> to build, optimize, and operate the data layer powering a cryptographic discovery and quantum-vulnerability detection platform. This role demands deep expertise in large-scale data pipeline engineering, custom detection algorithm development, and security analytics at scale. The right candidate combines the rigor of a data engineer with the instincts of a security analyst, and can turn raw cryptographic telemetry into actionable operational intelligence.</p> <p>• Design, build, and optimize high-throughput data ingestion pipelines using Apache Kafka for real-time telemetry streaming.<br>• Develop large-scale transformation and enrichment workflows on Databricks / Apache Spark; ensure pipeline reliability, observability, and performance at enterprise scale.<br>• Maintain data quality, schema governance, and lineage documentation across all pipeline stages<br>• Write and deploy custom detection algorithms targeting non-compliant cryptographic protocols — including outdated TLS versions, weak SSH key configurations, and deprecated cipher suites.<br>• Develop detection logic for quantum-vulnerable algorithms (e.g., RSA, ECC) across enterprise network traffic and cryptographic inventories.<br>• Continuously tune detection models based on operational feedback, false positive rates, and evolving threat intelligence.<br>• Partner directly with DoW threat hunters to translate raw cryptographic discovery data into structured, analyst-ready datasets.<br>• Build and maintain interactive dashboards (Tableau, Grafana) for executive reporting on cryptographic posture and quantum-vulnerability exposure.<br>• Develop and document analytic methodologies; p
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