Database Engineer: Automation & Cloud APIs

Elenchus Technologies; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Elenchus Technologies seeks a Database Engineer in the United States to design, develop, and maintain scalable data systems. You will work across MariaDB, MongoDB, and PostgreSQL while building Python-based REST endpoints using Django and Flask to serve data to UI components.

You will lead data modeling, optimize performance, and implement automated workflows and monitoring as part of an enterprise security initiative, with Docker, cloud services, and agile collaboration.

Qualifications

• Experience with MongoDB deployment and management.
• Ability to debug optimization issues and scale databases.
• Knowledge of database design and data models.

Responsibilities

• Provide technical expertise for database design, development, implementation, information storage and retrieval, data flow and analysis.
• Develop or maintain database structure to fit into the overall architecture of the system.
• Create new workflows to take over existing processes as needed as well as provide break/fix requests or updates.
• Lead development of database structures, database parser software, and database loading software.
• Support the development and test of various Python based ReST end points, microservices, and data model management capabilities utilizing Django and Flask frameworks to interact with data models such as MariaDB, MongoDB, and PostgreSQL and send data upon request, in JSON format, to UI front ends.

Skills

Database design

Data analysis

Python programming

API development

Tools

MongoDB

MariaDB

PostgreSQL

Django

Flask

Swagger

Docker

Jira

Confluence

Git

VS Code

Job description

Elenchus Technologies seeks a Database Engineer in the United States to design, develop, and maintain scalable data systems. You will work across MariaDB, MongoDB, and PostgreSQL while building Python-based REST endpoints using Django and Flask to serve data to UI components.

You will lead data modeling, optimize performance, and implement automated workflows and monitoring as part of an enterprise security initiative, with Docker, cloud services, and agile collaboration.