Data Engineer

Booz Allen Hamilton•Fort Belvoir, VA

22d•$99,000 - $225,000•Onsite

About The Position

The Data Engineer role focuses on system security engineering to assist clients with critical missions. The engineer will identify information system security engineering needs to assess vulnerabilities and recommend solutions and security strategies. This role involves leading the development and implementation of security solutions to protect military assets. Responsibilities include troubleshooting and analyzing complex challenges using knowledge of network and security devices, applications, and identifying tools. The engineer will research and develop security solutions based on technology and market trends, assess security threats, and implement infrastructure controls. This role directly impacts the DoD by protecting their infrastructure. The team emphasizes mentoring, hands-on problem-solving, and opportunities to learn new tools and skills to develop the best solutions for customers, with a focus on securing and protecting critical AI or ML networks.

Requirements

6+ years of experience in an ISSE, ISSO, or IT role
Experience designing and managing the end-to-end process for ingesting new security data sources into the SIEM such as Elasticsearch, including log collection, shipping, parsing, normalization, and enrichment
Experience with data parsing and normalization, developing and maintaining robust parsing logic to break down raw, unstructured logs into well-defined, queryable fields, owning data schema such as Elastic Common Schema (ECS), and ensuring consistency across all data sources
Experience building automated processes to enrich raw security data with critical context, including adding geolocation data to IP addresses, appending threat intelligence indicators, or adding user role information to account-based events
Experience implementing monitoring and alerting to ensure the health and timeliness of security data pipelines, including identifying and fixing issues such as data loss, parsing errors, or delays that could blind the detection engineers
Ability to optimize data architecture for fast search and query performance, ensuring that complex detection rules can be executed efficiently against large volumes of data without impacting the stability of the platform
TS/SCI clearance
HS diploma or GED
IASAE II Certification such as CASP+, CISSP, or CSSLP Certification

Nice To Haves

Experience integrating AI/ML capabilities to automate, enhance, and accelerate IT operations and security monitoring
Experience with automation tools and scripting languages such as Python and PowerShell
Experience designing, configuring, and managing unsupervised ML jobs to automatically model system, application, and network behavior to detect anomalies in real-time, including identifying unusual patterns in log data, metrics, and APM traces
Experience developing and fine-tuning sophisticated alerting rules based on Elastic's anomaly detection and forecasting features, to reduce alert fatigue by moving beyond simple static thresholds and focusing on statistically significant deviations from the norm
Experience building and managing AIOps workflows that correlate anomalies and alerts to help automate the initial stages of root cause analysis, providing rich context to the SOC or operations teams
Experience applying AIOps principles to monitor the health and performance of the SIEM or data platform itself, using Elastic's forecasting capabilities to predict future resource needs such as disk space or memory, and prevent outages
Knowledge of Zero Trust principles and frameworks such as NIST 800-207
Ability to utilize AI/ML features to automatically categorize and identify patterns in unstructured log data, helping to quickly surface new or unusual event types that could indicate a security incident or operational problem
Offensive Security Certified Professional (OSCP), GIAC Certified Incident Handler (GCIH), or GIAC Vulnerability Assessment Professional (GVAP) Certification

Responsibilities

Design, develop, and implement automated workflows and integrations.
Focus on safeguarding critical information systems and data against advanced cyber threats, with a primary emphasis on Zero Trust architecture, security data analytics, and robust automation.
Leverage data analytics, visualization, and observability techniques to enhance threat detection, incident response, and security posture.
Perform close collaboration with cross-functional teams, assist with the development of security policies, and perform continuous evaluation of security controls to ensure confidentiality, integrity, and availability of sensitive information.
Automate security processes, integrate security into the CI/CD pipeline, and ensure compliance with DoD, Army, and Intelligence Community (IC) standards and regulations.