Cyber Intelligence Automation Engineer

Booz Allen Hamilton•Arlington, VA

1d•$86,800 - $198,000•Remote

About The Position

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a cyber automation engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data professional like you to help our clients find answers in their data to impact important missions from fraud detection, to cancer research, to national intelligence. As a Cyber Intelligence Automation Engineer at Booz Allen, you’ll use your expertise to help build advanced technology solutions and lead data engineering activities on some of the most mission-driven projects in the industry. You’ll guide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful. Here, you’ll mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your expertise in analytical exploration and data examination while you oversee the assessment, design, building, and maintenance of scalable platforms for your clients. Join us. The world can’t wait.

Requirements

5+ years of experience in defensive cyber operations, cybersecurity engineering, or security platform architecture
3+ years of experience designing security data pipelines such as collection, normalization, enrichment, and routing
2+ years of experience with SIEM platforms such as Splunk ES, Elastic Security, Sentinel, or Chronicle
2+ years of experience with SOAR platforms such as Swimlane, XSOAR, or Phantom
Experience with cyber threat intelligence platforms, including STIX or TAXII and commercial or open-source data feeds
Experience with EDR, NDR, or full-packet capture tools such as CrowdStrike, Corelight, or Trellix and deploying across cloud, on-prem, and disconnected environments such as Kubernetes and OpenShift
Knowledge of Zero Trust DoD IC frameworks and federal compliance
TS/SCI clearance
HS diploma or GED

Nice To Haves

Experience with stream processing or data brokering platforms such as Cribl, Kafka, Logstash, Fluentd, or equivalent
Experience with threat detection or anomaly-based behavioral analysis
Experience with DevSecOps CI / CD pipelines in IL5, IL6, or IL7 environments
Experience with Python or scripting languages for security automation

Responsibilities

Build advanced technology solutions
Lead data engineering activities
Oversee the development and deployment of pipelines and platforms that organize and make disparate data meaningful
Mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment
Oversee the assessment, design, building, and maintenance of scalable platforms for clients
Experience building detection engineering pipelines, threat hunting workflows, and automated response capabilities