Principal Software Engineer
Coupa Software
CloudGoJava.NETPythonRuby
Senior Geospatial Software Engineer
RTX
full-time
Posted on:
Location Type: Remote
Location: Remote • Virginia • 🇺🇸 United States
Visit company websiteSalary
💰 $82,000 - $164,000 per year
Job Level
Senior
Tech Stack
AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonRemote SensingSDLC
About the role
- Travel to Dulles, VA facility as needed for customer activities.
- Analyze and process spatial natural resource data and satellite imagery using GIS techniques.
- Design and develop scalable geospatial services in Python, leveraging formats such as STAC, Zarr, and GeoTIFFs.
- Design and deploy geospatial data services to cloud platforms including AWS, GCP, or Azure.
- Analyzes systems requirements and design specifications.
- Performs conceptual design, detailed design, code, and unit test and may involve database analysis, design, and implementation.
- Apply best practices for clean, maintainable code, rigorous testing, and continuous integration.
- Tests, debugs, and refine the computer software to produce the required product.
Requirements
- Typically requires a Bachelor’s degree in Geography, Cartography, GIS, Computer Science or a related field and a minimum of 5 years of professional experience
- Experience with geospatial or data-intensive backend systems at enterprise scale.
- Experience in one or more operating systems, integrated development environments (IDEs), and Python for geospatial data processing.
- Experience developing test automation scripts to include automated unit testing, automated regression testing, automated integration, and automated security testing.
- Experience integrating software (modules, components, subsystems) and conducting system/software integration and testing of software products.
- Experience with raster and/or vector data, coordinate reference systems (CRS), and/or common formats such as GeoTIFF, NetCDF, and/or COGs.
- Experience with geospatial libraries and tools including GDAL/OGR, GeoPandas, Xarray, and/or Zarr.
- Hands-on experience with remote sensing datasets (Landsat, Sentinel, MODIS, Planet Labs, Iceye) and processing techniques.
- Experience in creating and integrating hydrofabric geospatial representation of perceptual model with metadata.
- Background in hydraulic modeling, remote sensing, GIS, environmental science, or related disciplines.
- Experience building automated geospatial data pipelines.
- Familiarity with Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs/LSTMs), or other deep learning approaches for spatial data.
- Software containerization experience using Kubernetes, Singularity and/or Docker.
- Experienced with command-line interface (CLI) and user interface (UI) to run programs, manage geospatial datasets, and interact with the computer.
- Experience with Agile/scrum, continuous integration and automated test frameworks and well versed with SDLC including best practices and procedures.
Benefits
- medical
- dental
- vision
- life insurance
- short-term disability
- long-term disability
- 401(k) match
- flexible spending accounts
- flexible work schedules
- employee assistance program
- Employee Scholar Program
- parental leave
- paid time off
- holidays
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonGIS techniquesgeospatial servicestest automation scriptsautomated unit testingautomated regression testingautomated integration testingautomated security testingraster datavector data
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