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Corporate Cybersecurity BigID Engineer Security Clearance

Job in McLean, Fairfax County, Virginia, USA
Listing for: LaunchCode
Full Time position
Listed on 2026-06-01
Job specializations:
  • IT/Tech
    Cybersecurity, Data Security, Data Engineer, Information Security
Salary/Wage Range or Industry Benchmark: 62000 - 141000 USD Yearly USD 62000.00 141000.00 YEAR
Job Description & How to Apply Below
Position: Corporate Cybersecurity BigID Engineer with Security Clearance
Job Title:

Enterprise Cybersecurity BigID Engineer

Location:

Hybrid – McLean, VA
Job Type: Direct Hire
Compensation: $62,000–$141,000
* This position is located in an area that requires special access. US citizenship required. Company:
The name of our partner organization will be disclosed during the interview
process. This is not a direct role with Launch Code; it is a position through Launch Code,
working with one of our partner companies.

Disclaimer: We are unable to provide work sponsorship for this role. We are unable to
consider candidates for this role who have a current or future work sponsorship need (this
includes those holding extended OPT Visas). We are seeking an Enterprise Cybersecurity BigID Engineer to support enterprise data
security initiatives focused on protecting sensitive information across cloud, on-premises,
and AI-enabled environments. This role will leverage BigID’s AI-powered data security
platform to discover, classify, and protect critical data while helping mature and scale the
organization’s Data Loss Prevention (DLP) program. The ideal candidate will bring hands-on experience with data security engineering, DLP
policy tuning, workflow automation, and compliance initiatives. This individual will partner
closely with cybersecurity, compliance, and infrastructure teams to implement scalable
controls, reduce data leakage risk, and strengthen enterprise-wide data governance.

Key Responsibilities
• Leverage BigID’s AI-powered platform to discover, classify, and protect sensitive data across cloud, on-premises, and AI environments
• Develop and support advanced Data Loss Prevention (DLP) strategies to prevent unauthorized data exfiltration and strengthen enterprise data protection
• Configure, optimize, and tune DLP policies to reduce false positives and mitigate data leakage scenarios
• Support execution of zero-trust security initiatives through BigID integrations with platforms such as Microsoft Purview
• Collaborate with cybersecurity, compliance, and engineering teams to mature and scale the organization’s DLP program
• Automate workflows and platform integrations using Python scripting
• Assist with governance audits, reporting, and documentation related to enterprise data protection initiatives
• Train stakeholders on BigID dashboards, workflows, and best practices
• Evaluate risk across structured and unstructured data sources and recommend remediation strategies
• Help support enterprise DLP ecosystems across endpoints, network infrastructure, and SaaS environments

Required Qualifications
• 3+ years of experience in DLP engineering, cybersecurity engineering, data security, or related fields
Hands-on experience with cybersecurity tools such as Microsoft Purview, Trellix, or Tenable
• Experience using Python for scripting, workflow automation, or systems integration
• Experience developing and tuning DLP policies and reducing false positives
• Ability to collaborate with cross-functional teams to support enterprise security initiatives
• Experience training or supporting stakeholders on security platforms and dashboards
• Bachelor’s degree required

Preferred Qualifications
• Experience deploying and configuring BigID for enterprise data discovery and classification
• Experience with structured and unstructured data mapping across multiple enterprise systems
• Experience supporting military-grade or highly regulated compliance environments
• Experience creating incident response playbooks and supporting governance audits
• Experience designing scalable data protection strategies across hybrid environments
• Knowledge of DLP ecosystems spanning endpoints, network environments, and SaaS platforms
• Strong understanding of privacy and compliance frameworks including GDPR, CCPA, and NIST
• Strong analytical and problem-solving skills related to enterprise cybersecurity and data risk
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