Database Engineer

Labor Category:
Database Engineer (DE) –

Wyetech is seeking an experienced Database Engineer – Level 2 to support the Secure the Enterprise initiative, focused on modernizing and automating system security evaluation and authorization processes within a mission‑critical Intelligence Community environment.

The selected candidate will support the transition from manual security evaluation and authorization processes to an automated, streamlined model emphasizing continuous monitoring, assessment, network data collection, and efficient approval workflows throughout the project lifecycle.

This position requires hands‑on expertise in MongoDB database deployment, management, troubleshooting, optimization, and scaling. The engineer will design, develop, implement, and maintain database solutions that support enterprise security automation, data management, and application integration.

The ideal candidate possesses strong database engineering experience, expertise in MongoDB administration and performance optimization, and familiarity with Python‑based RESTful services, microservices, Django or Flask, and cloud‑based application environments.

Database Engineering & Administration

• Provide technical expertise in database design, development, implementation, information storage and retrieval, data flow, and analysis.

• Design, develop, deploy, maintain, and optimize database structures supporting enterprise security automation and mission‑critical applications.

• Deploy, configure, administer, and manage MongoDB database environments.

• Troubleshoot database performance issues, identify optimization opportunities, and implement corrective solutions.

• Support database scalability, availability, reliability, and operational performance.

• Develop database architectures that align with overall system design and technical requirements.

• Evaluate database trade‑offs involving data volumes, number of users, logical and physical distribution, response times, retention rules, security, and domain controls.

• Support short‑and long‑term database administration, development, and design requirements.

Database Development & Data Management

• Lead the development of database structures, database parser software, and database loading software.

• Develop and maintain relational and/or object‑oriented database solutions.

• Create, modify, and optimize database queries, scripts, and macros to support data processing and retrieval.

• Develop database schemas that translate business and technical requirements into usable data structures.

• Support database storage, retrieval, and integration using cloud‑based methodologies.

• Develop and maintain database structures supporting system integration, application functionality, and data exchange.

• Assist with the analysis and evaluation of database improvements, optimization, development, and maintenance efforts.

• Support database engineering activities throughout the system development lifecycle, from requirements analysis through system acceptance testing and Initial Operational Capability (IOC).

Application Integration & API Development

• Support the development and testing of Python‑based RESTful endpoints and microservices.

• Work with Django and Flask frameworks to support application and database integration.

• Develop and maintain database interactions involving MongoDB, MariaDB, and PostgreSQL.

• Support data model management capabilities and application integration.

• Develop services that retrieve and transmit data to user‑interface applications in JSON format.

• Support API integration, troubleshooting, testing, and performance improvements.

• Collaborate with software engineers to ensure database structures and application interfaces meet technical and operational…