Description
Leidos National Security Sector combines technology-enabled services and mission software capabilities in the areas of cyber, logistics, security operations, and decision analytics to support our defense and intel customers’ mission to defend against evolving threats around the world.
Our team’s focus is to ensure our customers have the right tools, technologies, and tactics to keep pace with an ever-evolving security landscape and succeed in their pursuit to protect people and critical assets.
The Spatial Solutions Division (SSD), part of the Decision Advantage Solutions Business Area, is currently seeking a Database Engineer for the Maru Program on the Joint Analytic Workspace System (JAWS) Modernization team.
In this role, you will support all Scrum Teams with Maintenance and Modernization activities related to databases, such as configuration, packaging, SQL, performance tuning, schema changes, backups, and other tasking as assigned.
Clearance Level Required:
Top Secret/SCI with Polygraph
Primary Responsibilities:
Design, implement, and maintain a multiple security enclave data environment, including on-premises and cloud.
Migrating databases to cloud environments with minimal downtime and data integrity.
Deploying and managing databases on cloud platforms like Amazon RDS or Aurora.
Developing and optimizing SQL queries, stored procedures, and scripts.
Designing and implementing scalable database structures.
Creating and maintaining data models to ensure database integrity and performance.
Optimizing database performance through index creation and query tuning.
Aligning database operations with CI/CD pipelines through collaboration with DevOps teams.
Basic Qualifications:
US citizenship is required per contract.
Bachelor's degree and 4-8 years of prior relevant experience or Master’s with 2-6 years of prior relevant experience.
Minimum 4-10 years of information technology experience, minimum of 1-6 years of practical Database Administration experience.
Proficiency in database management systems such as Oracle or PostgreSQL.
Planning and executing database upgrades, migrations, and patches for new features and security.
Analyzing and forecasting database capacity for scalability and optimal performance.
Leveraging cloud backup solutions for data resilience and easy restoration in failures.
Using infrastructure as code tools (e.
g.
, AWS CloudFormation) for consistent and automated database management.
Creating and maintaining documentation for database design, configurations, and processes.
Effective communication skills for collaborating with technical and non-technical stakeholders.
This position has a target range for compensation of $115,000 - $125,000.
This is a firm fixed price contract and does not allow for negotiations outside of this target range.
Must have DoD 8570 compliance certifications (i.
e.
, CompTIA Security+, CompTIA Cloud+, etc.
).
Preferred Qualifications:
Implementing and optimizing data warehousing solutions on cloud platforms, like Amazon Redshift.
Integrating databases with containerization platforms (e.
g.
, Docker) and orchestrating with tools like Kubernetes for efficient resource utilization.
Prior experience with NGA and NGA’s support to mission partners.
Original Posting Date:
2024-01-31
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 $81,250.
00 - $146,875.
00
The 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.
Original Posting Date:
01/31/2024
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.
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