Senior Data Engineer
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Job Location:
Monthly Salary:
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
Leidos has an immediate need for a highly skilled and versatile Data Engineer Sr. 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 be responsible for illuminating dark data across the Commands 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.
As a Data Engineer Sr. you will architect and manage the deployment of advanced discovery platforms specifically BigID and NetApp BlueXP. You will configure these tools to crawl petabytes of structured (SQL/Oracle) semi-structured (logs/NoSQL) and unstructured (SharePoint/File Shares) data. Your primary mission is to build the Global Data Inventorya dynamic real-time map of where sensitive CUI and classified intelligence residesenabling the security teams to apply precision protection. You will use your knowledge of data pipelines and storage infrastructure to ensure that scanning operations provide 100% visibility without degrading network performance.
Responsibilities:
Data Discovery Architecture: Deploy and manage BigID and NetApp BlueXP scanners across hybrid environments including configuring dockerized collectors for air-gapped discovery on the Top-Secret network.
Structured Data Mapping: Connect discovery tools to enterprise databases (SQL Server Oracle PostgreSQL) to scan schemas and columns for PII DoD ID numbers and other sensitive indicators without impacting database performance.
Unstructured Data Crawling: Configure scans for massive file repositories (NetApp NAS QNAP SharePoint On-Premises) optimizing scan windows and throttling to prevent latency for mission users.
Cloud Data Integration: Utilize Microsoft Purview Data Map and custom connectors to inventory data residing in AWS S3 buckets Azure Blobs and Data Lakes.
Classification Tuning: Collaborate with mission owners to train Machine Learning (ML) classifiers to recognize unique USSOCOM data types (e.g. mission names operational codes) and reduce false positive rates in the data inventory.
Qualifications:
Security Clearance: Active Top-Secret clearance with SCI eligibility (TS/SCI).
Education: Masters degree in Systems Engineering Computer Science Cybersecurity Electrical Engineering or a related technical field.
Experience: 10 years of prior relevant experience.
Certification: CompTIA Security CE (or higher) to meet DoD 8570 IAT Level II requirements.
Preferred Qualifications:
Preferred Experience/Skills:
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.
Preferred Certifications:
Certified Kubernetes Administrator (CKA).
Azure Data Engineer Associate or BigID Certified Professional.
Come break things (in a good way). Then build them smarter.
Were the tech company everyone calls when things get weird. We dont wear capes (theyre a safety hazard) but we do solve high-stakes problems with code caffeine and a healthy disregard for how its always been done.
Original Posting:
December 29 2025For U.S. Positions: While subject to change based on business needs Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $131300.00 - $237350.00The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.
Required Experience:
Senior IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Leidos is an innovation company rapidly addressing the world's most vexing challenges in national security and health. Our 47,000 employees collaborate to create smarter technology solutions for customers in these critical markets.
