Data Engineer

Booz Allen Hamilton•Usa, VA

8d•Remote

About The Position

The Data Engineer role focuses on designing, developing, and implementing automated workflows and integrations to safeguard critical information systems and data against advanced cyber threats. The position emphasizes Zero Trust architecture, security data analytics, and automation. The engineer will leverage data analytics, visualization, and observability techniques to enhance threat detection, incident response, and security posture. Collaboration with cross-functional teams, development of security policies, and continuous evaluation of security controls are key aspects of the role. The position also involves automating security processes, integrating security into the CI/CD pipeline, and ensuring compliance with DoD, Army, and Intelligence Community (IC) standards and regulations. This role aims to protect 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.