Database Engineer II

Prodigy One•Linthicum, MD

21h•$124,000 - $208,000

About The Position

As part of the Secure the Enterprise initiative, this role supports the transition from manual system security evaluation and authorization processes to a modern, automated approach. The focus is on enabling streamlined workflows and approvals, continuous monitoring and assessment, and comprehensive network data collection throughout the entire project lifecycle. The Database Engineer provides technical expertise across database design, development, implementation, and data management. This role is responsible for building and maintaining database structures that align with overall system architecture, while improving data storage, retrieval, and flow. The Database Engineer also develops new workflows to replace or enhance existing processes, supports system updates and issue resolution, and leads the development of database structures, parser software, and data loading solutions. In addition, the Database Engineer contributes to the development and testing of Python-based REST endpoints, microservices, and data model management capabilities using frameworks such as Django and Flask. These services interface with databases including MariaDB, MongoDB, and PostgreSQL, delivering data in JSON format to front-end applications.

Requirements

Database experience using MongoDB, Including: Deployment and management of the database itself
Debugging of optimization issues
Scaling
Active TS/SCI clearance with Polygraph
Bachelor’s degree in a technical discipline (5 additional years of DBE experience without a degree) and 5 years’ experience as software/database engineer

Nice To Haves

Python, Django or Flask
ReST Endpoint Development
Micro-Service Model
Swagger
AWS, C2S or other cloud experience
Docker
Visual Studio Code or similar IDEs, JSON and/or XML serialization
Jira, Confluence
Git version control
Experience working in Agile environment

Responsibilities

Providing technical expertise across database design, development, implementation, and data management.
Building and maintaining database structures that align with overall system architecture, while improving data storage, retrieval, and flow.
Developing new workflows to replace or enhance existing processes.
Supporting system updates and issue resolution.
Leading the development of database structures, parser software, and data loading solutions.
Contributing to the development and testing of Python-based REST endpoints, microservices, and data model management capabilities using frameworks such as Django and Flask.
Interfacing with databases including MariaDB, MongoDB, and PostgreSQL, delivering data in JSON format to front-end applications.