Senior Data Engineer

About the role

Senior Data Engineer supporting the National Digital Exploitation and Open Source Center (NDOC) DOMEX Technology Platform, building data intelligence pipelines for OSINT and document media exploitation, shaping AI‑managed data discovery platforms, and collaborating with engineers, product owners, and government stakeholders in an agile, growth‑oriented environment.

About the company

Leidos is an industry and technology leader serving government and commercial customers with digital and mission innovations, headquartered in Reston, Virginia, with about 47,000 global employees and $16.7 billion in annual revenue.

Requirements

• Bachelor’s degree in Computer Science, Data Engineering, or related field with 12–15 years relevant experience (or Master’s with 10–13 years)
• Active Top Secret/SCI clearance and ability to obtain and maintain a Polygraph
• Expertise in Elasticsearch/OpenSearch architecture, index design, mappings, analyzers, and query optimization
• Experience with graph databases such as JanusGraph, Neo4j, TigerGraph, Amazon Neptune, or Memgraph
• Data modeling for hierarchical and highly connected datasets
• Large‑scale ETL/ELT pipeline development
• Kubernetes deployment and operations for stateful data services
• Distributed storage systems and high‑volume data ingestion
• Proficiency in Python or Java for data engineering and automation
• Experience supporting AI/ML and data science workflows, including Apache Kafka or similar streaming technologies
• Experience with Linux, containerization, CI/CD pipelines, and Infrastructure‑as‑Code
• Knowledge of graph analytics frameworks and algorithms (traversal, centrality, community detection, similarity analysis, link prediction)
• Experience with Keycloak and security best practices (authN/Z, secrets management)
• Experience building and maintaining microservices in Kubernetes
• Familiarity with infrastructure‑as‑code tools such as CloudFormation, Terraform, or Pulumi