Job description

Enterprise Cybersecurity BigID Engineer The Opportunity: Support Booz Allen’s Enterprise Cybersecurity team by leveraging BigID s data security platform to discover, classify, and protect sensitive data across cloud environments. Implement advanced data loss prevention (DLP) strategies to address unauthorized exfiltration risks and support compliance with standards, including the General Data Protection Regulation (GDPR), the California Consumer Privacy Act (CCPA), and the National Institute of Standards and Technology (NIST). Drive execution of zero-trust frameworks using BigID integrations with tools such as Microsoft Purview. Collaborate with cross-functional teams to ensure the scalability and maturity of the organization s DLP program. Stay current with emerging data security threats and collaborate with other cybersecurity teams in a Cyber Fusion Center (CFC) environment to understand the impact of data security risks and possible impacts to the global enterprise. You Have: 3 years of experience in DLP engineering or data security Experience deploying and configuring BigID scanners and data source connections across environments, including scan profiles, scheduling, credentials, and performance tuning Experience with scripting languages, including Python, for workflow automation and integration Experience supporting the building, testing, and tuning of BigID classifiers to reduce false positives and mitigate data leakage scenarios Experience translating scan results into risk-based findings and drafting remediation recommendations for technical and non-technical audiences Ability to collaborate with cross-functional teams to mature DLP programs and train stakeholders on using BigID dashboards and tools Ability to communicate effectively with cross-functional teams and management Ability to obtain a Secret clearance Associate s degree and 10 years of experience supporting IT projects and activities, Bachelor s degree and 8 years of experience supporting IT projects and activities, Master s degree and 6 years of experience supporting IT projects and activities, or 15 years of experience supporting IT projects and activities in lieu of a degree Nice If You Have: Experience with cybersecurity tools, including Microsoft Purview, Trellix, or Tenable Experience creating playbooks for incident response, performing governance audits, and designing scalable data protection strategies in hybrid environments Knowledge of federal data protection frameworks Knowledge of managing DLP ecosystems, including integration across endpoints, networks, and SaaS environments Knowledge of complex compliance and privacy frameworks, including execution of technical and organizational solutions Possession of excellent analytical skills for assessing data risks Bachelor’s degree in Computer Science, Cybersecurity, or a related field CISSP, CISM, or related Security Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. 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 $99,000.00 to $225,000.00 (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. 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 or customer facility, in alignment with your leadership s expectations and the needs of the role. Onsite : If this position is listed as onsite, work will primarily be performed full-time at a 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.

Requirements

Must-haves

Enterprise Cybersecurity BigID Engineer The Opportunity:
3 years of experience in DLP engineering or data security
Experience deploying and configuring BigID scanners and data source connections across environments, including scan profiles, scheduling, credentials, and performance tuning
Experience with scripting languages, including Python, for workflow automation and integration
Experience supporting the building, testing, and tuning of BigID classifiers to reduce false positives and mitigate data leakage scenarios
Experience translating scan results into risk-based findings and drafting remediation recommendations for technical and non-technical audiences
Ability to collaborate with cross-functional teams to mature DLP programs and train stakeholders on using BigID dashboards and tools
Ability to communicate effectively with cross-functional teams and management
Ability to obtain a Secret clearance
Experience with cybersecurity tools, including Microsoft Purview, Trellix, or Tenable
Experience creating playbooks for incident response, performing governance audits, and designing scalable data protection strategies in hybrid environments
Knowledge of federal data protection frameworks
Knowledge of managing DLP ecosystems, including integration across endpoints, networks, and SaaS environments
Knowledge of complex compliance and privacy frameworks, including execution of technical and organizational solutions
Possession of excellent analytical skills for assessing data risks
Bachelor’s degree in Computer Science, Cybersecurity, or a related field
CISSP, CISM, or related Security Certification
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Nice-to-haves

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Keywords to mirror

pythonai

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Professional Development