Consolidated Data Analytics Platform Elastic Engineer

Job description

Consolidated Data Analytics Platform Elastic Engineer The Opportunity: 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 analyst can use for threat hunting, maintain infrastructure, and identify problems or anomalous behavior before they become a larger issue and can be actioned on. Work with the vendor to determine best practices for deployment and maintenance of system architecture and deploy within designated security requirements. Join us. The world can’t wait. You Have: 2+ years of experience with Elastic Stack, such as Elasticsearch, Logstash, and Kibana tools, including installing, configuring, maintaining, upgrading, and troubleshooting these products 2+ years of experience building high-quality Kibana visualizations and dashboards Experience with log pipelines and interpreting logs to determine information, 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 If You Have: Experience working with Docker, Kubernetes, and cloud containerization solutions, such as 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 DoW 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 may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our 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. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,900.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. Remote : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. Onsite : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.