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Kafka Data EngineerPhase2 Technology • Pearl City, Hawaii, United States
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Kafka Data Engineer

Phase2 Technology
  • US
    Pearl City, Hawaii, United States
  • US
    Pearl City, Hawaii, United States
Jetzt Bewerben

Über

Job Number: R0241130
Kafka Data Engineer
The Opportunity Ever-expanding technology and collection methodologies means that there is more structured and unstructured data available today than ever before. As a data engineer, you know that organizing big data can yield pivotal insights when it is gathered from disparate sources. We need a Data Engineer who is experienced in upgrading and maintaining Kafka clusters in Kubernetes in AWS, as well as utilizing Kafka Schema Registry and Kafka Security Manager (KSM) to manage schema evolution and security.
In this role, you'll use your expertise in designing, developing, and deploying Kafka clusters in a cloud environment, and with Kafka Schema Registry and Kafka Security Manager. Here, you will guide and mentor data engineers, developers, and data consumers in a fast-paced, agile environment and will oversee the assessment, design, building, and maintenance of scalable platforms for your clients.
Join us. The world can't wait.
You Have:
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
Nice If You Have:
Experience with Apache NiFi
Experience with multi-cluster or containerized environments
Experience with scripting in Bash or Python
Experience deploying and maintaining applications, appliances, or machines aligned to DoD Security Technical Implementation Guidelines (STIG) and Security Requirements Guides (SRG)
Experience writing playbooks and scripts for automation tools, including Terraform, Ansible, or Puppet for Infrastructure as Code (IaC) and Configuration as Code (CaC)
Knowledge of cybersecurity concepts, including threats, vulnerabilities, security operations, encryption, boundary defense, auditing, authentication, and supply chain risk management
Bachelor's degree
DoD 8570 IAT Level II Certification such as Security+, CCNA Security, or GSEC Certification
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 $77,600.00 to $176,000.00 (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
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.
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  • Pearl City, Hawaii, United States

Sprachkenntnisse

  • English
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