As an Enterprise Cybersecurity BigID Engineer at a leading tech company, you will join the Data Security team as a mid-level professional to leverage BigID’s AI-powered platform in discovering and classifying sensitive data across various environments. Your daily tasks include implementing advanced DLP strategies to prevent unauthorized data exfiltration and ensuring compliance with GDPR, CCPA, and NIST standards. You will work closely with cross-functional teams to integrate BigID with tools like Microsoft Purview for zero-trust framework execution, automate workflows using scripting languages such as Python, and develop policies that minimize false positives while mitigating data leakage risks. Ideal candidates have 3+ years of DLP engineering experience, familiarity with cybersecurity tools, and a background in supporting the maturation of DLP programs through collaboration and training stakeholders on BigID dashboards.
Skills
BigID
Python
Microsoft Purview
Trellix
Tenable
CI/CD
DLP policies
data discovery
incident response playbooks
governance audits
scalable data protection strategies
hybrid environments
complex compliance frameworks
analytical skills
What you'll do
Implement advanced DLP strategies to prevent unauthorized data exfiltration.
Use BigID platform to discover, classify, and protect sensitive organizational data.
Integrate BigID with tools like Microsoft Purview for zero-trust framework execution.
Develop and tune DLP policies to minimize false positives and data leakage risks.
Train stakeholders on using BigID dashboards and tools effectively across the organization.
What we're looking for
3+ years experience in DLP engineering or data security
Expertise in cybersecurity tools like Microsoft Purview, Trellix, and Tenable
Proficiency in scripting languages for workflow automation and integration
Ability to develop and tune DLP policies to reduce false positives
Collaborative skills to mature DLP programs and train stakeholders
Bachelor’s degree required
Experience deploying and configuring BigID for data discovery and classification
Market check
Salary context
This
$62,000–$141,000
range sits above
4%
of similar postings on FindRole.
Peer median band
$110,000–$198,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$142,400–$184,325
Middle half of comparable postings.
Based on 239 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Booz Allen Hamilton
Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting
Booz Allen Hamilton currently has
629 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 616 roles with salary data.
Python
R
SQL
Hadoop
Spark
Databricks
Machine Learning
Classification
Clustering
Anomaly Detection
Time Series
CI/CD
MLOps
Endpoint Protection
Identity and Access Data
Network Telemetry
Data Visualization
AWS
Azure
Python
R
SQL
Hadoop
Spark
Databricks
Machine Learning
Classification
Clustering
Anomaly Detection
Time Series
Endpoint Protection
Identity and Access Data
Network Telemetry
MLOps
CI/CD
Model Registries
Feature Stores
Automated Monitoring