Security Data Analytics Engineer TS/SCI

Aperio Global; Fort Meade (MD); On-site; USD 220,000 - 270,000; Full time

Benefits offered by this job

Health Care Plan (Medical, Dental & Vı

401k retirement plan with employer""

Life Insurance

Paid Time Off

Short Term & Long Term Disability

Professional Development

Job summary

Aperio Global in Fort Meade, MD is seeking an advanced Security Data Analytics Engineer to design, build, and operate the data layer powering cryptographic discovery and quantum-vulnerability detection platforms. You will transform cryptographic telemetry into actionable operational intelligence through large-scale pipeline engineering and security analytics.

Responsibilities include building real-time data ingestion with Apache Kafka, performing transformations on Databricks and Apache Spark,

Qualifications

• 5+ years of data engineering or security analytics experience, including production-grade pipeline development.
• Active TS/SCI clearance required.
• Advanced proficiency in SQL and Python with large-scale data manipulation.
• Hands-on experience with Databricks and/or Apache Spark for big data transformation.
• Working knowledge of Apache Kafka for real-time streaming.
• Deep familiarity with security log formats, cryptographic protocols, and network telemetry.

Responsibilities

• 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 and performance.
• Maintain data quality, schema governance, and lineage across all stages.
• Write and deploy detection algorithms for cryptographic and quantum-vulnerability domains.
• Develop dashboards in Tableau and Grafana for executive reporting on cryptographic posture.
• Collaborate with threat hunters to translate cryptographic data into analyst-ready datasets.

Skills

SQL

Python

PySpark

Databricks

Apache Spark

Apache Kafka

Tableau

Grafana

Security analytics

Data engineering

Tools

Databricks

Apache Spark

Tableau

Grafana

Job description

How We're Different

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.

Come solve with us

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.

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.

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.

• 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)

Aperio Global is an equal opportunity employer. We are committed to building an inclusive workforce where all employees and applicants are treated with respect and fairness. Employment decisions are based solely on qualifications, merit, and business needs - never on race, color, religion, sex, national origin, age, disability, genetic information, military or veteran status, pregnancy/childbirth, sexual orientation, gender identity, marital status, ethnicity, or any other characteristic protected by applicable federal, state, or local law.