Information Governance Engineer (BigID / Data Discovery) Location: Reston Virginia Hybrid (1 2 days/week onsite) Duration: 12 Months Contract
Interview: Virtual round
Notes: Need LinkedIn with location
Local only with DL copy
Position Overview:
We are seeking an Information Governance Engineer with strong BigID experience to support enterprise data discovery and remediation initiatives. This is a hands-on role focused on improving classification accuracy analyzing sensitive data findings and converting insights into actionable remediation workflows.
Required Skills:
Strong hands-on experience with BigID (data discovery & classification)
Experience with classifier tuning (regex NER pattern matching)
Experience with ticketing tools (Jira ServiceNow)
Understanding of structured vs. unstructured data
Basic scripting/querying skills (SQL Python APIs)
Knowledge of data governance privacy and security concepts
Strong attention to detail and problem-solving ability
Success Metrics:
Improved classification accuracy and reduced false positives
Efficient conversion of findings into actionable remediation tickets
Establishment of scalable repeatable data governance workflows
Additional:
Strong preference for candidates with real-world BigID implementation experience
No travel required
Must be comfortable working in hybrid setup (Virginia)
Information Governance Engineer (BigID / Data Discovery) Location: Reston Virginia Hybrid (1 2 days/week onsite) Duration: 12 Months Contract Interview: Virtual round Notes: Need LinkedIn with location Local only with DL copy Position Overview: We are seeking an Information Governance Eng...
Information Governance Engineer (BigID / Data Discovery) Location: Reston Virginia Hybrid (1 2 days/week onsite) Duration: 12 Months Contract
Interview: Virtual round
Notes: Need LinkedIn with location
Local only with DL copy
Position Overview:
We are seeking an Information Governance Engineer with strong BigID experience to support enterprise data discovery and remediation initiatives. This is a hands-on role focused on improving classification accuracy analyzing sensitive data findings and converting insights into actionable remediation workflows.
Required Skills:
Strong hands-on experience with BigID (data discovery & classification)
Experience with classifier tuning (regex NER pattern matching)
Experience with ticketing tools (Jira ServiceNow)
Understanding of structured vs. unstructured data
Basic scripting/querying skills (SQL Python APIs)
Knowledge of data governance privacy and security concepts
Strong attention to detail and problem-solving ability
Success Metrics:
Improved classification accuracy and reduced false positives
Efficient conversion of findings into actionable remediation tickets
Establishment of scalable repeatable data governance workflows
Additional:
Strong preference for candidates with real-world BigID implementation experience
No travel required
Must be comfortable working in hybrid setup (Virginia)