- Salary
- $108k – $195k
- Location
- 1662 Intelligence Community Campus - Bethesda MD, United States of America
- Workplace
- Remote, Onsite
- Type
- Full-time
- Department
- IT
- Education
- Master
- Clearance
- Required
- Source
- Workday
Description
Leidos has a current opening for a TS/SCI cleared Database Administrator supporting our client’s overall mission to design and implement a data centric architecture that leverages cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems.
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 has an exciting opening for you, our next TS/SCI cleared Database Administrator to play a critical role on the DOMEX Technology Platform (DTP) Program where we support our client’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise. We integrate off the shelf and newly development software to sustain and enhance the TCPED platform. We leverage cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members. DTP advances the state of the art in mission-focused big data analytics tools and micro-service development spanning the breadth of Agile sprints to multiyear research and development cycles. While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and, occasionally, some tasks may be performed remotely.
Candidates must have a demonstrated ability to work in a dynamic and challenging environment and possess a solid understanding of the software development life cycle all while working within an Agile framework.
You will work closely with the team on the following key tasks
- Collaborate and work with a diverse group of engineers in developing solutions for extracting, transforming and loading (ETL) heterogeneous datasets
- Administer, maintain, upgrade, and optimize databases to address technical debt
- Design, maintain, and improve database schemas and data models
- Participate in engineering design sessions to understand dependencies and interactions with POSTMAN data stores
- Document database design, implementation and interactions with other systems
- Define formats and structure for data exports/imports
- Define APIs to share data; identifying endpoints, authentication, authorization, segmentation, structure, and format
- Manage multiple database instances and interactions to insure data consistency across the POSTMAN platform
- Support CI/CD automation, code promotion, and deployment operations
- Participate in daily scrums and program increment planning sessions
To be successful in this role you need these skills (required):
- Bachelor’s Degree with 8 years of relevant experience or Master’s Degree with 6 years of relevant experience or 4 additional years of experience in lieu of degree
- Possess a DoD TS security clearance and be able to obtain a DoD TS/SCI with Polygraph
- Ability to obtain Privileged User Account (PUA); must have Security+ and cloud certifications to quality for access
- 3+ year administering databases including but not limited to: SQL Server, MySQL, PostgreSQL, and Oracle
- 3+ years of database scripting using interface tools that include command line interfaces
- 3+ years of hands-on experience in designing database schema, data models (Relational, Entity-Relationship, Object-based, etc.) and performance tuning
- Experience with administrating databases both on-premises and on the cloud platforms
- Experience with monitoring database health and developing solutions to mitigate risks of performance and Service-level Agreements (SLAs)
- Experience working with a highly technical team and in a dynamic, fast-paced environment
- Experience segregating data access through record locking or other solutions
- Experience documenting and implementing security controls; providing POAMs for vulnerabilities and security findings
- Experience managing multiple database instances across environments
- Experience managing multiple data connections and interfaces
- Certified AWS Cloud Practitioner
You will wow us even more if you have some of these skills:
- Highly Desired - Familiarity with data integration with Postgres SQL and Elasticsearch
- Highly Desired - Familiarity with PSQL CLI and open-source Postgres GUI
- Highly Desired – Familiarity with AWS S3
- Highly Desired – Familiarity with Appian and SAIL
- Certifications in RDBMS and/or NoSQL Databases
- Experience with Agile software development (Scrum, SAFe)
- Experience with DevOps/DevSecOps and CI/CD implementation
- Experience with Elasticsearch Kibana in developing visualizations/dashboards and conducting analyses
- Experience with other database systems (Relational / Graph / NoSQL) and data models
- Experience with Python, JSON, or Java
- Experience with Intelligence Community data products
- AWS Cloud Associate Certifications in at least one of the following: Developer; Data Engineer, CloudOps Engineer, Solutions Architect
#NMECDTP-Leidos
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 22, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $107,900.00 - $195,050.00The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.