Booz Allen Hamilton is seeking a Kafka Data Engineer to design, deploy, and upgrade Kafka clusters within AWS and Kubernetes, leveraging Kafka Schema Registry and Kafka Security Manager. This onsite role on Ford Island, Hawaii combines hands-on engineering with mentoring teammates to build scalable data platforms that support client projects.
Responsibilities
- Design, develop, and deploy Kafka clusters in cloud environments, integrating Kafka Schema Registry and Kafka Security Manager.
- Upgrade and maintain Kafka clusters running in Kubernetes on AWS to ensure high availability and performance.
- Guide and mentor data engineers, developers, and data consumers in an agile environment.
- Oversee the assessment, design, construction, and maintenance of scalable platforms for clients.
Requirements
- Experience working with Kafka.
- Experience creating data partitioning strategies and monitoring topics for performance.
- Experience deploying and upgrading Kafka clusters in high availability containerized environments.
- Experience using observability platforms such as Elastic or Datadog to configure monitoring for data pipelines to ensure high availability, throughput, low latency, and alerting.
- Knowledge of stream processing pipelines and analytics.
- Secret clearance is required.
- HS diploma or GED.
Technologies
- Kafka
- Kubernetes
- AWS
- Kafka Schema Registry
- Kafka Security Manager
- Elastic
- Datadog
- Apache NiFi
- Bash
- Python
- Terraform
- Ansible
- Puppet
Benefits
- Health benefits
- Life benefits
- Disability benefits
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards program
Identity verification
As part of the hiring process, applicants will complete an identity verification process that uses advanced biometrics and artificial intelligence to ensure authenticity and prevent identity fraud. Interviews and assessments may require on-camera participation, and Booz Allen reserves the right to capture a photo to verify identity.
Candidate AI usage policy
AI is part of Booz Allen's daily work, and the company supports responsible AI use. For fairness in the candidate process, the use of AI tools to assist with interview responses is prohibited unless explicit permission is provided.
Work model
- Remote: If listed as remote, there may still be occasions when in-person work at a Booz Allen or customer facility is required.
- Hybrid: You will be expected to work from a Booz Allen facility frequently, with potential visits to a customer facility.
- Onsite: Work will primarily be performed at a Booz Allen office or customer facility, with collaboration to support the role.
Commitment to non-discrimination
All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, or any other status protected by applicable law.
Compensation
The projected compensation range for this position is USD 77,600 to 176,000 annually. Salary is determined by location, education, experience, and other organizational factors. This posting will close within 90 days from the Posting Date.
Clearance
Secret clearance is required. Applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information.
