Our Mission Statement

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.

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.

Come Solve With Us

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.

U.S. Citizenship is required for this position due to federal government contract and security clearance requirements.

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• Write and deploy custom detection algorithms targeting non-compliant cryptographic protocols — including outdated TLS versions, weak SSH key configurations, and deprecated cipher suites.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 - 270K

The salary range for this role represents Aperio’s good-faith estimate of compensation at the time of posting. Placement within the range is based on multiple factors, including but not limited to an individual’s qualifications, relevant experience, education, certifications, technical skills, contract labor categories and/or rates, work location, market conditions, and business needs.