Kafka Data Engineer

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

Booz Allen Hamilton offers a comprehensive benefits package and a culture that supports ongoing growth. This role emphasizes professional development and a balanced approach to work within collaborative teams.

The Data Engineer will design, deploy, and maintain scalable Kafka driven data platforms in cloud environments, leveraging Kafka Schema Registry and Kafka Security Manager, while guiding peers to deliver reliable data solutions.

Responsibilities

• Design, develop, and deploy Kafka clusters in a cloud environment, using Kafka Schema Registry and Kafka Security Manager
• Upgrade and maintain Kafka clusters in Kubernetes on AWS
• Mentor data engineers, developers, and data consumers in an agile setting
• Oversee assessment, design, building, and maintenance of scalable platforms for clients

Requirements

• Experience with Kafka
• Experience creating data partitioning strategies and monitoring topics for performance
• Experience deploying and upgrading Kafka clusters in high availability containerized environments
• Experience utilizing observability platforms such as Elastic or Datadog to configure monitoring for data pipelines to ensure high availability and throughput, low latency, and alerting
• Knowledge of stream processing pipelines and analytics
• Secret clearance
• HS diploma or GED

Technologies

• Kafka
• Kubernetes
• AWS
• Kafka Schema Registry
• Kafka Security Manager
• Elastic
• Datadog
• Apache NiFi
• Bash
• Python
• Terraform
• Ansible
• Puppet

Compensation

Salary: USD 77,600 to 176,000 per year. Compensation is determined by location, education, knowledge, skills, experience, and organizational requirements. The posted range reflects typical compensation for this role and is one component of the overall package.

Work model

Onsite work is primary for this role, with collaboration at Booz Allen or customer facilities. There may be occasions to work remotely or in a hybrid arrangement depending on leadership needs and project requirements.

Clearance

Secret clearance is required. Applicants will undergo a security investigation to determine eligibility for access to classified information.

Identity verification

As part of the hiring process, Booz Allen may use identity verification involving biometrics and AI to ensure authenticity and prevent fraud. Candidates may be asked to participate on camera during interviews and assessments, and Booz Allen may capture photos to verify identity.

Candidate AI usage policy

AI is part of daily work at Booz Allen. The responsible and ethical use of AI tools is encouraged, but use of AI or other tools to assist with interview responses is prohibited unless explicit permission is provided.

Non-discrimination commitment

All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, or any other status protected by applicable law.