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# Data Security Engineer

- **Company:** Nabout Leidos
- **Location:** Adelphi, MD, United States
- **Experience:** Experienced
- **Salary:** $87,100.0 - $157,450.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Bash Shell, Cyber Security, Continuous Integration, Information Engineering, Elasticsearch, Intrusion Detection and Prevention, Python (Programming Language), Security Information and Event Management, Data Processing, Google Cloud, Data Ingestion, Multi-Cloud, HybridCloud, Apache Kafka, Cyber Warfare, Oracle Cloud Infrastructure, Data Pipelines, Devsecops
- **Published:** August 15, 2026
- **Apply:** https://jobs.military.com/career/308534/data-security-engineer-maryland-md-adelphi

## About the Role

* Bachelor's degree and 4-8 years of relevant experience, or additional experience may substitute in lieu of degree.\n
 * 3+ years of data engineering, data analysis, cybersecurity data engineering, or related experience.\n
 * Experience with data ingestion, transformation, normalization, or high-volume data-processing pipelines.\n
 * Experience with relevant technologies such as Elastic Stack, Kafka, Python, Bash, and CI/CD tooling.\n
 * Familiarity with Elastic Common Schema (ECS) or similar cybersecurity data models.\n
 * Required DoD 8570/8140-aligned and CSSP Analyst certifications, as applicable to the position.\n
 * U.S. Citizenship with an active TS/SCI clearance.\n
 * Strong written and verbal communication skills.\n, * Experience onboarding and normalizing high-volume cybersecurity telemetry and log sources.\n
 * Experience with Kafka, Python/Bash automation, CI/CD, or DevSecOps practices.\n
 * Experience supporting AWS, Azure, GCP, Oracle Cloud, hybrid-cloud, or multi-cloud environments.\n
 * Knowledge of cybersecurity operations, including SIEM, threat detection, incident response, and security monitoring.\n
 * Experience supporting a DoD CSSP, SOC, or other large-scale defensive cyber operations environment.\n
 * Strong troubleshooting skills across complex data pipelines and interconnected systems.\n



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