Senior Data Engineer
Listed on 2026-01-05
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IT/Tech
Data Engineer, Cybersecurity
Senior Data Engineer – Leidos
Leidos has an immediate need for a highly skilled and versatile Senior Data Engineer to drive the massive data discovery and classification effort for the Zero Trust initiative at U.S. Special Operations Command (USSOCOM). Before data can be protected, it must be found and understood. You will illuminate "dark data" across the Command’s complex information environment, ranging from hyperscale cloud data lakes on NIPR to legacy file shares and isolated storage arrays on the SIPR and Top-Secret networks.
Responsibilities- Architect and manage the deployment of advanced discovery platforms, specifically BigID and Net App BlueXP, configuring these tools to crawl petabytes of structured (SQL/Oracle), semi-structured (logs/No
SQL), and unstructured (SharePoint/File Shares) data. - Build the “Global Data Inventory” – a dynamic, real‑time map of where sensitive CUI and classified intelligence resides, enabling the security teams to apply precision protection.
- Use data pipeline and storage infrastructure knowledge to ensure scanning operations provide 100% visibility without degrading network performance.
- Deploy and manage BigID and Net App BlueXP scanners across hybrid environments, including configuring dockerized collectors for air‑gapped discovery on the Top‑Secret network.
- Connect discovery tools to enterprise databases (SQL Server, Oracle, Postgre
SQL) to scan schemas and columns for PII, DoD , and other sensitive indicators without impacting database performance. - Configure scans for massive file repositories (Net App NAS, QNAP, SharePoint On‑Premises), optimizing scan windows and throttling to prevent latency for mission users.
- Utilize Microsoft Purview Data Map and custom connectors to inventory data residing in AWS S3 buckets, Azure Blobs, and Data Lakes.
- Collaborate with mission owners to train ML classifiers to recognize unique USSOCOM data types (e.g., mission names, operational codes) and reduce false positive rates.
- Active Top‑Secret clearance with SCI eligibility (TS/SCI).
- Master’s degree in Systems Engineering, Computer Science, Cybersecurity, Electrical Engineering, or a related technical field.
- 10+ years of prior relevant experience.
- CompTIA Security+ CE (or higher) to meet DoD 8570 IAT Level II requirements.
- Experience with Microsoft Purview Data Map (formerly Azure Purview).
- Knowledge of Regex for custom data pattern definition.
- Background in Data Engineering or ETL pipeline development.
- Familiarity with USSOCOM network architecture and storage standards.
- Certified Kubernetes Administrator (CKA).
- Azure Data Engineer Associate or BigID Certified Professional.
$ – $
About LeidosLeidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025.
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JobDetails
- Seniority level:
Mid‑Senior level - Employment type:
Full‑time - Job function:
Information Technology - Industries:
Government Administration and IT Services and IT Consulting
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