Data Security Engineer - Adelphi, MD
ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps. All positions are onsite, unless otherwise stated.
Leidos is seeking a Data Security Engineer in Adelphi, MD. This position will be hybrid on site 3 days/week.
POSITION SUMMARY:
The C5ISR Center Cyber Security Service Provider (CSSP) delivers 24x7x365 defensive cyber operations supporting critical Department of War (DoW) missions. Our team provides continuous monitoring, threat detection, incident response, and vulnerability management across cloud and on-premises environments, including AWS, Azure, GCP, Oracle Cloud, and SaaS platforms. The Data Security Engineer will build, optimize, and sustain the cybersecurity data pipelines that power defensive operations. You will ingest, normalize, enrich, and manage high-volume security telemetry within Elastic; optimize data performance and quality; automate workflows; and troubleshoot dependencies across Elastic, Kafka, and CI/CD systems. You will partner with cyber teams to ensure analysts and defenders have reliable, analytics-ready data for threat detection and response.
CLEARANCE:
Must have an active Top Secret security clearance; US Citizenship required.
PRIMARY RESPONSIBILITIES:
- Configure and optimize data ingestion, storage, and retrieval within the Elastic ecosystem (Elasticsearch, Logstash, Kibana, Fleet) to enable high-volume, high-availability operations.
- Design, maintain, and optimize scalable cybersecurity ETL pipelines using the Elastic suite of tools.
- Develop transformations and enrichments for diverse security log and telemetry sources.
- Maintain index templates, mappings, schemas, and data models supporting analytics and detection logic.
- Implement data validation, deduplication, and quality controls to ensure data integrity.
- Automate ingestion, transformation, and engineering workflows using Python, Bash, and related tools.
- Monitor pipeline and indexing performance, troubleshoot data-flow issues, and optimize throughput, storage, and query performance.
- Maintain traceability and troubleshoot dependencies across Kafka, Elastic, and CI/CD tooling.
- Partner with Detection Engineering, Threat Analysis, Endpoint, and other cyber teams to support operational requirements.
- Maintain technical documentation, SOPs, and engineering artifacts.
Required Skills
Required Languages
🇬🇧 English