Senior Data Engineer - AI-Driven Data Pipelines

Leidos; Bethesda (MD); On-site; USD 131,300 - 237,350; Full time

Job summary

Leidos is seeking a mission-driven Senior Data Engineer to join the NDOC DOMEX Technology Platform. You will design scalable data pipelines, optimize Elasticsearch and graph databases, and collaborate with AI/ML teams to enable advanced analytics for OSINT and DoW/IC workflows.

The role requires an active TS/SCI clearance and deep experience with large-scale ETL pipelines, distributed storage, and Kubernetes in cloud-native environments.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, or related field; 12–15 years of experience or Master’s with 10–13 years.
• Active Top Secret/SCI clearance and ability to obtain Polygraph.
• Elasticsearch/OpenSearch architecture, index design, mappings, analyzers, and query optimization.
• 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.
• Python or Java for data engineering and automation.

Responsibilities

• Design, develop, and optimize data pipelines and storage services.
• Collaborate with engineers and stakeholders to deploy Elasticsearch and graph DB services in Kubernetes.
• Ingest, curate, manage, and analyze datasets across the data lifecycle.
• Develop automated data loading, transformation, validation, and quality assurance pipelines.
• Ensure high availability and performance for large-scale analytics workloads.
• Integrate graph/search services into microservice-based applications.
• Engage in SAFe Agile activities and contribute to architecture discussions.

Skills

Python or Java

Distributed data engineering

Kubernetes

SAFe Agile

Education

Bachelor's degree in Computer Science, Data Engineering, or related field

Tools

Elasticsearch/OpenSearch

Graph databases (JanusGraph/Neo4j/TigerGraph/Neptune/Memgraph)

ETL/ELT pipelines

Kubernetes deployments

Job description

Leidos is seeking a mission-driven Senior Data Engineer to join the NDOC DOMEX Technology Platform. You will design scalable data pipelines, optimize Elasticsearch and graph databases, and collaborate with AI/ML teams to enable advanced analytics for OSINT and DoW/IC workflows.

The role requires an active TS/SCI clearance and deep experience with large-scale ETL pipelines, distributed storage, and Kubernetes in cloud-native environments.