Senior Data Engineer

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

Job summary

Leidos in Bethesda is seeking a Senior Data Engineer to join the NDOC DOMEX Technology Platform, building data intelligence pipelines for OSINT and DoW/IC.

You will design and deploy scalable data services, collaborate with engineers, data scientists, and government stakeholders, and mentor teammates in an agile environment.

This role requires TS/SCI clearance and offers opportunities to shape architecture and deliver high-impact software.

Qualifications

• Bachelor’s degree and 12–15 years of relevant experience, or Master’s with 10–13 years.
• Active Top Secret/SCI clearance and ability to obtain/maintain Polygraph.
• Experience designing and optimizing Elasticsearch/OpenSearch architectures.
• Experience with graph databases and hierarchical/highly connected data modeling.
• Large-scale ETL/ELT pipeline development and distributed storage systems.

Responsibilities

• Design and optimize Elasticsearch indices for large-scale data and fast queries.
• Develop scalable ingestion pipelines and graph data store for analytics.
• Collaborate with infra and platform teams to deploy Elasticsearch and graph services in Kubernetes.
• Partner with data scientists and AI/ML engineers to manage data lifecycle.
• Support SAFe Agile processes and contribute to architecture discussions.
• Ensure high availability, security, and quality software delivery.

Skills

Elasticsearch/OpenSearch

Graph databases

Data modeling

ETL/ELT pipelines

Kubernetes

Distributed storage

Python/Java

Education

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

Master’s degree in related field

Tools

JanusGraph

Neo4j

TigerGraph

Amazon Neptune

Memgraph

Elasticsearch

OpenSearch

Kubernetes

Python

Java

Job description

Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path.

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). In this role, you will help improve data intelligence pipelines serving both Open Source Intelligence (OSINT) operations and document media exploitation for the Department of War (DoW) and the broader Intelligence Community (IC). You’ll play a critical role in developing a future state AI-managed DOMEX Data Discovery Platform (D3P) and DIA-NDOC’s mission.

As a key technical leader, you will collaborate with talented engineers, product owners, and government stakeholders to design, develop, and deploy innovative software solutions that make a real difference to national security. You’ll have the opportunity to shape the architecture, drive technical direction, and mentor others, all while working in a collaborative, agile, and growth-oriented environment.

You will work closely with the team on the following key tasks

• Design and optimize Elasticsearch indices to efficiently manage large-scale hierarchical classification structures, ensuring high-performance search, aggregation, and update operations.
• Design, 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.
• Design data schemas, indexing strategies, and partitioning approaches to maximize query performance, scalability, and storage efficiency.
• Collaborate with infrastructure and platform engineering teams to 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.
• Collaborate with software engineers and system architects to 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 to include 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.

To be successful in this role you need these skills (required)

• 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.
• 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.

You will wow us even more if you have some of these skills

• Experience supporting AI/ML and data science workflows. Apache Kafka or similar streaming technologies.
• Experience with Linux, containerization, CI/CD pipelines, and Infrastructure-as-Code.
• 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.
• Familiar with infrastructure-as-code (CloudFormation, Terraform, Pulumi).

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting

July 27, 2026

Pay Range

Pay Range $131,300.00 - $237,350.00

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

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.

More details are available at www.leidos.com/careers/pay-benefits.

Commitment to Non-Discrimination

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.