Senior Database Engineer

Title: Senior Database Engineer

Location: Annapolis Junction

Compensation Range: $165 – 185k

Clearance: Active TS/SCI w/ Polygraph needed to apply

Company Overview

Cornerstone Defense is the Employer of Choice within the Intelligence, Defense, and Space communities of the U.S. Government. Realizing early on that our most prized assets are our employees, we continually focus our attention on improving the overall work/life experience they have supporting the mission. Our Team is pushed every day to use their industry leading knowledge to provide end-to-end solutions to combat our nation’s toughest and most secure problems. If you are looking for a place to not only be professionally challenged, but encouraged and supported by a company that cares, don’t look any further than Cornerstone Defense.

Benefits Overview

Cornerstone Defense offers a very comprehensive benefits package including, but not limited to: Medical, Dental and Vision Plans; Generous PTO Policy; 401(k); HSA and FSA options; Life and Disability Insurance; Tuition Reimbursement and Training; Perks at Work Discount Program; Referral Program; Leads Generation Program; CollegeAmerica 529; Fitness Reimbursement Program; Travel Assistance; Norton Lifelock Benefit Solutions; Life Planning Financial & Legal Services.

Description

The Database Engineer (DE3) provides advanced technical expertise in database design, development, implementation, and long‑term maintenance within a mission‑critical environment. This role supports the full data lifecycle, including information storage and retrieval, data flow, schema development, performance tuning, and cloud‑aligned data operations. The engineer will develop both relational and object‑oriented databases, build database parser/loading software, and create scripts, queries, and macros to transform data into usable structures. The DE3 is responsible for ensuring that database architectures align with overall system design, balancing constraints such as data volume, user concurrency, logical/physical distribution, response times, retention rules, and security controls.

Qualifications

• Ten (10) years of experience as a Database Engineer on programs of similar scope, type, and complexity.
• Bachelor’s degree in a technical discipline (Five additional years of DBE experience may substitute for the degree).
• DoD 8570.01‑M Information Assurance Technical (IAT) Level II compliant.

Required Skills

• Extensive experience with installation and patching for Oracle Database, Oracle Enterprise Manager, and Oracle Data Guard.
• Strong Linux experience (OS operation, command line, Bash scripting).
• Nice to have: MongoDB experience.

Core Responsibilities

• Support database design, development, implementation, information storage, retrieval, data flow, and analysis activities.
• Support analysis and evaluation of system improvements, optimization, development, and maintenance efforts.
• Support the development of long‑ and short‑term requirements for database administration and design.
• Assist in developing databases, database parser software, and database loading software.
• Translate requirements and data into usable schemas by creating or updating ad hoc queries, scripts, and macros.
• Assist in developing database structures that fit within the overall system architecture.
• Lead the development of database structures aligned to system architecture.
• Lead the development of databases, database parser software, and database loading tools.
• Develop requirement recommendations from project inception through completion for business and IT subject areas.
• Develop database structures that balance data volume, user load, distribution, response times, retention rules, and security/domain constraints.
• Direct fulfillment of requirements from project inception to project completion.
• Direct the organization of requirements and data into schemas, including ad hoc queries, scripts, and macro development.
• Direct development of complex systems using queries, tables, ODBC, and cloud‑based storage and retrieval methods.