Data Platform Engineer
About The Position
As a Data Platform Engineer, you will help design, support, and evolve the data infrastructure that enables large scale environmental research for the U.S. Geological Survey (USGS). This role sits at the intersection of data engineering, database systems, and cloud operations, focused on ensuring that critical environmental data is reliably ingested, transformed, and delivered across modern cloud and hybrid environments. You will work closely with federal stakeholders and technical teams to translate data orchestration needs into scalable, automated solutions. You will manage PostgreSQL databases, optimize SQL based workflows, and support Python driven automation and CI/CD pipelines to ensure data systems remain stable, efficient, and production ready. In addition, you will contribute to improving observability, reliability, and operational performance across data pipelines and supporting infrastructure. In this role, you will not just maintain databases. You will help engineer the platform that keeps high value environmental data moving, accessible, and trusted. If you are motivated by solving complex data flow challenges and supporting mission driven science through modern cloud and automation practices, this is an opportunity to directly shape the data systems that enable environmental science nationwide.
Requirements
- Bachelor’s degree in Computer Science, Information Technology
- 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 and ArcGIS certifications demonstrating expertise in cloud and geospatial technologies
Responsibilities
- Design, support, and evolve the data infrastructure for large scale environmental research.
- Ensure critical environmental data is reliably ingested, transformed, and delivered across modern cloud and hybrid environments.
- Translate data orchestration needs into scalable, automated solutions.
- Manage PostgreSQL databases and optimize SQL based workflows.
- Support Python driven automation and CI/CD pipelines.
- Contribute to improving observability, reliability, and operational performance across data pipelines and supporting infrastructure.
- Engineer the platform that keeps high value environmental data moving, accessible, and trusted.
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
