Enterprise Cybersecurity BigID Engineer

Description

Location: Hybrid - McLean, VA

Job Type: Direct Hire

Compensation: $62,000-$141,000

Clearance Requirement: Secret preferred/ability to obtain may be required

*This position is located in an area that requires special access. ship required.

Company: The name of our partner organization will be disclosed during the interview process. This is not a direct role with LaunchCode; it is a position through LaunchCode, 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

#LI-HYBRID