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stages • Write and deploy custom detection algorithms targeting non-compliant cryptographic protocols - including outdated TLS versions, weak SSH key configurations, and deprecated cipher suites.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. REQUIRED: • Active TS/SCI clearance (no exceptions). • 5+ years of data engineering or security analytics experience, including production-grade pipeline development. • Advanced proficiency in SQL and Python - including pandas, PySpark, and data manipulation at scale. • Hands-on experience with Databricks and/or Apache Spark for large-scale data transformation. • Working knowledge of Apache Kafka for real-time streaming ingestion. • Deep familiarity with security log formats, cryptographic protocols (TLS, SSH, PKI), and network telemetry. NICE TO HAVE: • Experience building cryptographic discovery or PKI inventory tooling. • Familiarity with post-quantum cryptography (PQC) standards (NIST SP 800-208 / FIPS 203/204/205) and quantum-vulnerable algorithm identification. • Experience developing dashboards in Tableau and/or Grafana for executive-level consumption. • Background in threat hunting, SIEM engineering, or security operations analytics. • Databricks Certified Associate Developer for Apache Spark or equivalent certification. Salary Range: $220 - 245K Benefits At Aperio Global, we understand the value of investing in our most important asset-our employees. That's why we have crafted a comprehensive benefits package designed to help you make the best decision for yourself, your family and your lifestyle. For additional details, contact our talent acquisition team. • Health Care Plan (Medical, Dental & Vision) • Retirement Plan (401k, IRA) with 100% employer match up to 6% • Life Insurance (Basic, Voluntary & AD&D) • Paid Time Off (Vacation, Sick & Public Holidays) • Short Term & Long Term Disability • Professional Development • (and much more)