Security Data Analytics Engineer TS/SCI

We believe the highest-impact work in national security and technology is a team sport. At Aperio Global, we operate as a single, cohesive force aligned on a handful of mission-critical efforts where our work truly moves the needle. We don't chase small wins. We solve for next.

We view the intersection of cybersecurity, artificial intelligence, and data analytics as an empirical discipline as rigorous and consequential as any field in science or engineering. That means we bring intellectual honesty, accountability, and transparency to every problem we take on. Our team includes tech innovators, Intelligence Community veterans, and security professionals who know that the best solutions come from diverse minds working toward a common mission. We value our people, those working quietly behind the scenes, doing the hard work that keeps our nation secure.

The best way to understand how we think is to see what we've built. From full-spectrum cyber operations and de-biased AI platforms to quantum networking and cloud-native software systems, our work speaks for itself.

We offer competitive compensation and a comprehensive benefits package — including medical, dental, and vision coverage, a 401(k) retirement plan, life insurance, generous paid time off, short and long-term disability, professional development, and much more. We invest in our people because they are our most important asset — and because the mission demands the best.

We are seeking an advanced Security Data Analytics Engineer 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.

• Design, build, and optimize high-throughput data ingestion pipelines using Apache Kafka for real-time telemetry streaming. • Develop large-scale transformation and enrichment workflows on Databricks / Apache Spark; ensure pipeline reliability, observability, and performance at enterprise scale. • Maintain data quality, schema governance, and lineage documentation across all pipeline stages • Write and deploy custom detection algorithms targeting non-compliant cryptographic protocols — including outdated TLS versions, weak SSH key configurations, and deprecated cipher suites. • Develop detection logic for quantum-vulnerable algorithms (e.g., RSA, ECC) across enterprise network traffic and cryptographic inventories. • Continuously tune detection models based on operational feedback, false positive rates, and evolving threat intelligence. • Partner directly with DoW threat hunters to translate raw cryptographic discovery data into structured, analyst-ready datasets. • Build and maintain interactive dashboards (Tableau, Grafana) for executive reporting on cryptographic posture and quantum-vulnerability exposure. • Develop and document analytic methodologies; produce findings briefs and technical reports for government stakeholders.