Consolidated Data Analytics Platform Elastic Engineer
About the Role
Work with clients and peers to build a high-performing system using Elastic to aggregate logs from many systems into a single common schema. Use Elastic Common Schema (ECS) formatted fields, create quality visualizations and alerts that analysts can use for threat hunting, maintain infrastructure, and identify problems or anomalous behavior before they become larger issues. Collaborate with the vendor to determine best practices for deployment and maintenance of system architecture while adhering to designated security requirements.
Requirements
- 2+ years of experience with Elastic Stack, including Elasticsearch, Logstash, and Kibana tools (installing, configuring, maintaining, upgrading, and troubleshooting)
- 2+ years of experience building high-quality Kibana visualizations and dashboards
- Experience with log pipelines and interpreting logs, including converting raw logs into ECS-formatted documents
- Experience with Logstash plugins, filters, regular expressions, and grok patterns
- Knowledge of cryptography protocols and standards, including TLS, mTLS, hashing algorithms, and Public Key Infrastructure (PKI)
- Knowledge of federal compliance standards, including NIST 800-53, FIPS, STIG, and FedRAMP
- Secret clearance
- HS diploma or GED
Nice to Have
- Experience with Docker, Kubernetes, and cloud containerization solutions (e.g., Elastic Cloud on Kubernetes (ECK))
- Experience with NiFi, Kafka, and Confluent
- Experience with Office 365 applications and Teams collaboration
- Experience interacting with tools through RDP, web-based UI, SSH, and CLI
- Experience in regulated environments such as the DoD or Intelligence Community
- Knowledge of Elastic Index Lifecycle Management (ILM)
- Knowledge of Linux or UNIX environments, including navigating and troubleshooting basic OS issues
- Knowledge of networking protocols
- Knowledge of how various systems interact with each other
- Knowledge of Zero Trust Architecture (ZTA) principles
Clearance
Applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information. A Secret clearance is required.
Benefits
- Health, life, disability, financial, and retirement benefits
- Paid leave, professional development, tuition assistance, work-life programs, and dependent care
- Recognition awards program for exceptional performance and superior demonstration of company values
Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits.
Pay
Salary is determined by various factors, including location, education, knowledge, skills, competencies, experience, contract-specific affordability, and organizational requirements. The projected compensation range for this position is $86,900.00 to $198,000.00 (annualized USD).
Schedule
This posting will close within 90 days from the posting date.
Work Model
This role may be remote, hybrid, or onsite:
- Remote: Primarily virtual, with occasional in-person work at a Booz Allen or customer facility.
- Hybrid: Frequent work from a Booz Allen facility, with potential visits to customer facilities as needed.
- Onsite: Work primarily performed at a Booz Allen office or customer facility, with direct collaboration required.
Employees working virtually are generally expected to have their cameras on during meetings to support engagement and effective communication.