Automation-Driven Database Engineer II

ClearEdge; Linthicum (MD); On-site; USD 100,000 - 150,000; Full time

Job summary

ClearEdge is seeking a Database Engineer II to modernize security evaluations into automated processes. You will design robust databases, build workflows, and enable data retrieval across lifecycles.

Collaboration with cross-functional teams will shape parsing software and UI data flows using Python-based REST endpoints and microservices. Responsibilities include developing database structures, guiding new workflows, and providing expertise in database design, implementation, and data analytics.

Qualifications

• TS/SCI clearance with polygraph.
• Bachelor’s degree in a technical discipline and a minimum of five (5) years of experience as a Database Engineer in similar programs and contracts.
• Proficiency in Python and experience with databases like MongoDB or MariaDB.
• Experience using Django or Flask for web application development.
• Understanding of ReST endpoints and microservice architecture.

Responsibilities

• Develop and maintain database structures that fit seamlessly into the overall system architecture.
• Lead the creation of new workflows to replace existing manual processes, enhancing efficiency.
• Provide technical expertise for database design, implementation, and data analysis.
• Support the development and testing of Python-based ReST endpoints and microservices using Django and Flask frameworks.
• Interact with databases such as MariaDB, MongoDB, and PostgreSQL to send data in JSON format to UI front ends.

Skills

Python programming

REST endpoints

Microservices

Django

Flask

Web app design

Education

Bachelor’s degree in a technical discipline

Tools

MongoDB

MariaDB

Django

Flask

Swagger

AWS

Docker

Visual Studio Code

JSON serialization

XML serialization

Jira

Confluence

Git

Job description

ClearEdge is seeking a Database Engineer II to modernize security evaluations into automated processes. You will design robust databases, build workflows, and enable data retrieval across lifecycles.

Collaboration with cross-functional teams will shape parsing software and UI data flows using Python-based REST endpoints and microservices. Responsibilities include developing database structures, guiding new workflows, and providing expertise in database design, implementation, and data analytics.