Geospatial Applications Engineer (REMOTE)
Most of the work we do starts in the same way, with data that doesn’t quite behave the way you want it to. It comes incomplete, inconsistent, or at a scale that breaks whatever last worked. And somehow, it still needs to end up as something dependable, pipelines that run, applications that hold up, and maps people can actually use.
This is an exciting opportunity to join us a Geospatial Applications Engineer on small Agile team to support the United States Geological Survey (USGS). You will not just be handed tickets. You’ll pick things up, figure them out, and carry them through—design, build, test, deploy, and support. Some days you’re deep in Python working through ETL logic, other days you’re tracking down why something broke in production or rethinking how it should’ve been built in the first place.
The environment is already solid, AWS, a functioning DevOps setup, a strong collaborative small team, so your work is visible. So are your decisions.
If you’re looking for a role where what you build and improve will stick and trust to make decisions, join XTS today!
Requirements
- Must have the ability to receive / maintain a favorable adjudicated Public Trust investigation (US Citizen or Lawful Permanent Resident for at least 3 years).
- You’ve achieved a Bachelor’s Degree + 4 years of relevant experience in software or applications engineering.
- You have strong Python programming language as most of the work is in Python, from ETL pipelines to geospatial processing.
- Experience with GDAL and other open-source Python libraries to efficiently process, analyze, and transform data.
- Familiarity with AWS as our applications run in the cloud, knowing how to architect, deploy, and maintain them ensures scalability, security, and reliability.
- Familiarity with DevOps, CI/CD, and Infrastructure as Code (IaC) to understand how code moves from deployment to production, how to deploy and maintain reliable systems, and how to manage cloud infrastructure programmatically (Terraform, CloudFormation, or similar) to ensure new features and fixes are delivered safely, consistently, and at scale.
- Experience with geospatial data (GIS, ESRI software) in order to make decisions about GIS structure and usability.