Database Engineer - REMOTE

Xcellent Technology Solutions•Rolla, MO

10d•$70,000 - $80,000•Remote

About The Position

As a Database Engineer, you will help design, support, and optimize the data systems that power critical environmental research for the U.S. Geological Survey (USGS). In this role, you will be responsible for ensuring that large volumes of environmental data are efficiently stored, managed, and delivered across modern cloud and hybrid environments. Working closely with federal stakeholders and technical teams, you will develop scalable solutions that support data orchestration, automation, and operational reliability. You will manage PostgreSQL databases, optimize SQL based workflows, and support Python driven automation and CI/CD processes that keep data systems running smoothly. Your expertise will help ensure data integrity, improve system performance, and support the continuous flow of mission critical information across research and operational platforms. This role offers the opportunity to go beyond traditional database administration by contributing to the automation, scalability, and modernization of enterprise data environments. If you are motivated by solving complex data challenges and supporting mission driven science through modern cloud technologies, you will play a direct role in enabling environmental research that serves communities across the nation.

Requirements

Bachelor’s degree in Computer Science, Information Technology or at least 4 years of relevant experience accompanied by active IT certifications or at least 8 years of experience in lieu of a degree.
Experience writing efficient SQL, managing PostgreSQL databases, and handling large datasets to ensure accurate and high-performance data processing.
Proficient in Python for automating data workflows and improving data management efficiency.
Experience with CI/CD practices, including automating database provisioning and using GitLab or GitHub for version control and deployment workflows.
Comfortable using AWS services such as EC2, S3, and RDS to deploy, manage, and scale cloud-based applications and databases.

Nice To Haves

AWS certifications
ArcGIS certifications

Responsibilities

Design, support, and optimize data systems for environmental research.
Ensure efficient storage, management, and delivery of large volumes of environmental data across cloud and hybrid environments.
Develop scalable solutions for data orchestration, automation, and operational reliability.
Manage PostgreSQL databases.
Optimize SQL based workflows.
Support Python driven automation and CI/CD processes.
Ensure data integrity and improve system performance.
Support the continuous flow of mission critical information across research and operational platforms.