The Role
Design, support, and optimize data systems for environmental research. Manage PostgreSQL databases, write efficient SQL, automate workflows with Python, implement CI/CD using GitLab/GitHub, and deploy/scale services on AWS (EC2, S3, RDS). Ensure data integrity, performance, and reliable delivery across cloud and hybrid environments while collaborating with federal stakeholders and technical teams.
Summary Generated by Built In
Database Engineer (Remote)
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.
Salary Range: $70,000 - $80,000
Requirements:
At XTS, we are committed to creating a supportive and collaborative environment where innovation thrives. As a veteran-owned company, we take pride in providing our employees with the tools, training, and opportunities needed for professional growth. You’ll be part of a mission-driven team focused on advancing environmental research and public service.
Benefits Include:
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.
Salary Range: $70,000 - $80,000
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
- AWS and ArcGIS certifications demonstrating expertise in cloud and geospatial technologies
At XTS, we are committed to creating a supportive and collaborative environment where innovation thrives. As a veteran-owned company, we take pride in providing our employees with the tools, training, and opportunities needed for professional growth. You’ll be part of a mission-driven team focused on advancing environmental research and public service.
Benefits Include:
- Customizable healthcare, dental, and vision coverage.
- Paid time off (PTO), 11 federal holidays, and a matching 401(k) plan.
- Short- and long-term disability, life insurance, cancer insurance, and even pet insurance.
- Continuous training and career advancement opportunities
Skills Required
- Bachelor's degree in Computer Science or Information Technology (or equivalent)
- At least 4 years of relevant experience accompanied by active IT certifications (alternative to degree)
- At least 8 years of experience in lieu of a degree (alternative)
- Experience writing efficient SQL and managing PostgreSQL databases
- Proficient in Python for automating data workflows
- Experience with CI/CD practices, automating database provisioning, and using GitLab or GitHub
- Comfortable using AWS services such as EC2, S3, and RDS
- AWS and ArcGIS certifications (desired)
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The Company
What We Do
CTS aims to be a leading provider of sensing & motion devices as well as connectivity components, enabling an intelligent & seamless world.
