Virtual Data Labelling Jobs in Virginia (NOW HIRING)

Remote Work:
Hybrid
Job Number:
R0244025
Location:
Arlington,VA,US
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Cloud Security Engineer
The Opportunity:
For an organization to transform in today's digital world, it needs to properly collect, store, and organize its data. Effective data management can enable more efficient operations, yielding more growth. As an access and data tagging specialist, you know how to apply your creative-thinking and analytical mindset to help organizations manage and secure their data assets. We're looking for an experienced data architect like you to deliver leading-edge solutions for the warfighter.
As an access and data tagging specialist on our team, you'll use your extensive technical expertise to design data architecture solutions for data tagging. You'll resolve routine data architecture-related issues in collaboration with business analysts and technology teams by ensuring data is only available to the intended audience.
In this role, you'll grow your technical expertise, apply best practices, and use tools like Collibra or Alation. You'll guide your team as it designs, defines, develops, and tests cloud solution components, and you'll serve as a liaison between clients and developers to ensure that requirements are met and solutions are delivered.
With your drive to establish processes and lead technological innovation, you'll make a lasting impact on the warfighter.
Join us. The world can't wait.
You Have:

• 2+ years of experience with cloud infrastructure, cloud native services, and applications, including AWS, Azure, or Google
• 2+ years of experience with RBAC, ABAC, Identity and Access Management (IdAM), and Zero-Trust Architecture
• Experience applying and maintaining metadata, labels or tags to datasets and data assets at scale
• Experience with documenting data standards, tagging, and governance
• Secret clearance
• Bachelor's degree
• Ability to obtain DoD 8570 IAT Level II or IAT Level III Certification within 30 days of hire date

Nice If You Have:

• Experience with data classification and tagging tools
• Knowledge of Authority to Operate and DoD Cloud SRG requirements
• Ability to collaborate with data engineers, analysts, and business stakeholders to ensure proper data usage and classification
• Bachelor's degree in CS, Computer Engineering, or Engineering
• AWS Certifications

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 $86,800.00 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.
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