RTX-posted 1 day ago
Full-time • Entry Level
Remote • Richmond, VA
5,001-10,000 employees

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world. Raytheon is seeking a Geospatial Software Engineer for the Next Gen Water Prediction Capability (NGWPC) program. The NGWPC program intends to build a scalable, operational-quality Next Generation Water Resources Modeling Framework, hydrologic and hydraulic model formulations, upgraded Flood Inundation Mapping (FIM) capabilities, and an underlying enterprise hydrofabric used in operational National Water Model (NWM) and flood forecasting operations. It is a cornerstone for the National Oceanic and Atmospheric Administration’s (NOAA) National Weather Service (NWS) Office of Water Prediction (OWP).

  • Analyze and process spatial natural resource data and satellite imagery using GIS techniques.
  • Design and develop 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.
  • Troubleshoot and optimize existing applications for improved performance.
  • Stay current with industry trends and emerging technologies.
  • Apply best practices for clean, maintainable code, rigorous testing, and continuous integration.
  • Tests, debugs, and refine the computer software to produce the required product.
  • Ability to commute to the Dulles, VA facility, if needed for customer activities.
  • Typically requires a Bachelor’s Degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 2 years of professional experience
  • Experience with geospatial or backend systems
  • Experience in one or more operating systems, integrated development environments (IDEs), and Python for geospatial data processing.
  • 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.
  • Hands-on experience with remote sensing datasets (Landsat, Sentinel, MODIS, Planet Labs, or 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.
  • Experience with geospatial libraries and tools including GDAL/OGR, GeoPandas, Xarray, and/or Zarr.
  • Experience developing test automation scripts to include automated unit testing, automated regression testing, automated integration, and automated security testing.
  • 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.
  • Solid understanding of distributed systems, data structures, and algorithms.
  • 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
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