Senior Data Engineer

About the role

Leidos is seeking a mission-driven Senior Data Engineer to join our high-impact team supporting the National Digital Exploitation and Open Source Center (NDOC) DOMEX Technology Platform (DTP).

Responsibilities

• Design, develop, and optimize scalable data management solutions supporting advanced analytics and AI/ML workloads.
• Build and maintain Elasticsearch and graph-based data platforms that enable efficient storage, discovery, and analysis of complex hierarchical data.
• Design and optimize Elasticsearch indices to efficiently manage large-scale hierarchical classification structures, ensuring high-performance search, aggregation, and update operations.
• Implement and maintain a graph data store supporting hierarchical graph structures optimized for large, dense batch updates and high-throughput analytics.
• Develop scalable ingestion pipelines that support scalable graph analytics.
• Develop data schemas, indexing strategies, and partitioning approaches to maximize query performance, scalability, and storage efficiency.
• Deploy, operate, and optimize Elasticsearch and graph database services in a Kubernetes environment using cloud-native technologies.
• Partner with Data Scientists and AI/ML engineers to ingest, curate, manage, analyze, and securely expunge datasets throughout the data lifecycle.
• Develop automated data loading, transformation, validation, and quality assurance pipelines supporting production analytics workflows.
• Optimize graph and search infrastructure for high availability, resilience, and performance under large-scale analytical workloads.
• Integrate graph and search services into microservice-based applications.
• Participate in SAFe Agile development activities, including sprint planning, design reviews, architecture discussions, and technical demonstrations.
• Foster a culture of innovation, collaboration, and professional development within the team.
• Ensure sound engineering practices, compliance with policies, and delivery of high-quality software.
• Coordinate with test teams to develop and monitor automated system integration tests.
• Engage with cross-functional teams to identify and develop high-value integrations with other systems/applications.
• Provide specific input to the software components of system design, including hardware/software trade-offs, software reuse, use of COTS/GOTS in place of new development, and requirements analysis and synthesis from system level to individual software components.

Requirements

• Bachelor’s degree in Computer Science, Data Engineering, or related field and 12–15 years of relevant experience, or Master’s with 10–13 years of experience.
• Must possess an Active Top Secret/SCI clearance and ability to obtain and maintain a Polygraph.

Qualifications

• Experience supporting AI/ML and data science workflows.
• Experience with 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.
• Python or Java for data engineering and automation.

Skills

• Experience with Apache Kafka or similar streaming technologies.
• Experience with Linux, containerization, CI/CD pipelines, and Infrastructure-as-Code.
• Experience with graph analytics frameworks and algorithms, including graph traversal, centrality, community detection, similarity analysis, and 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 (CloudFormation, Terraform, Pulumi).

Benefits

Pay Range $131,300.00 - $237,350.00

Additional details about benefits can be found at www.leidos.com/careers/pay-benefits.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement.

About Leidos

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.