Data Analytics Platform Engineer

Booz Allen Hamilton•McLean, VA

About The Position

Data Analytics Platform Engineer The Opportunity: 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 data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data engineer 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 data engineer at Booz Allen, you’ll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful. Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients. Work with us to use data for good. Join us. The world can’t wait.

Requirements

5+ years of experience with data lake or analytics platforms such as Cloudera, Apache Iceberg or Snowflake
3+ years of experience designing data pipeline architectures for security operations, including log collection, normalization, enrichment and routing
3+ years of experience with defensive cyber operations, cybersecurity engineering or security platform architecture
2+ years of experience with Windows or Linux administration activities
Experience architecting detection engineering pipelines, threat hunting workflows or automated response capabilities
Experience in managing and administrating Apache Flink, Hue, Hive or Zepplin
Experience deploying platforms across cloud, on-premises and disconnected environments using Kubernetes or OpenShift
Knowledge of Zero Trust principles, DoD and IC Cybersecurity frameworks and federal compliance standards
TS/SCI clearance
HS diploma or GED

Nice To Haves

Experience with stream processing or data brokering platforms such as Cribl, Kafka, Logstash or Fluentd
Experience with insider 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