Data Security Engineer

Leidos

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Adelphi, MD
Salary
$87,100–$157,450 / yr
Posted
29 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $168k
This role $122k
$73k most similar roles pay here $219k

This role pays less than 89% of similar roles. Most pay $142,400–$193,275 — the shaded band above. At the midpoint, this role pays about $122k versus about $168k for comparable roles.

Based on 240 similar postings.

Employer

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations.

Leidos currently has 264 open roles on FindRole.

Listed pay typically runs $92,300–$166,850 across 245 roles with salary data.

Most-posted roles

View all roles at Leidos

At a glance

TL;DR · Data Security Engineer

The Data Security Engineer joins the Cyber Security Service Provider team to build, optimize, and sustain cybersecurity data pipelines that power defensive operations across cloud and on-premises environments. This role involves ingesting, normalizing, and enriching high-volume security telemetry while managing data performance and quality within Elastic. The engineer will develop transformations for diverse log sources, manage index templates and schemas, and automate workflows using Python and Bash. Key responsibilities include troubleshooting dependencies across Kafka and CI/CD systems to ensure analysts have reliable, analytics-ready data for threat detection. Technical requirements include proficiency with the Elastic Stack, including Logstash, Kibana, and Fleet, as well as experience with Elastic Common Schema. The role addresses the critical challenge of providing continuous monitoring and incident response within a complex multi-cloud infrastructure to support Department of War missions.

What you'll do

  • Design and maintain scalable cybersecurity data ingestion and normalization pipelines.
  • Develop transformations and enrichments for diverse security log and telemetry sources.
  • Configure and optimize the Elastic Stack (Elasticsearch, Logstash, Kibana, and Fleet) for high-volume operations.
  • Manage index templates, mappings, schemas, and data models to support detection logic.
  • Implement automated workflows for ingestion and transformation using Python and Bash.
  • Monitor pipeline performance and troubleshoot issues across Kafka, Elastic, and CI/CD systems.
  • Ensure data integrity through validation, deduplication, and quality control measures.
  • Maintain technical documentation, standard operating procedures, and engineering artifacts.

What we're looking for

  • U.S. Citizenship and an active TS/SCI clearance are required.
  • Bachelor's degree and 4–8 years of relevant experience, or additional experience may substitute in lieu of a degree.
  • At least 3 years of data engineering, data analysis, cybersecurity data engineering, or related experience.
  • Experience with data ingestion, transformation, normalization, or high-volume data-processing pipelines.
  • Experience with Elastic Stack, Kafka, Python, Bash, and CI/CD tooling.
  • Familiarity with Elastic Common Schema (ECS) or similar cybersecurity data models.
  • Required DoD 8570/8140-aligned and CSSP Analyst certifications, as applicable to the position.
  • Experience supporting multi-cloud environments, cyber operations, or a DoD CSSP environment (preferred).

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