Raytheon
Senior Geospatial Software Engineer (Remote)
Raytheon, Richmond, Virginia, United States, 23214
Senior Geospatial Software Engineer (Remote)
Raytheon is seeking a Geospatial Software Engineer for the Next Gen Water Prediction Capability (NGWPC) program. The program builds 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.
Location: Remote — United States of America.
What You Will Do
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.
Analyze systems requirements and design specifications.
Perform 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.
Test, debug, and refine the computer software to produce the required product.
Qualifications You Must Have
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.
Qualifications We Prefer
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.
What We Offer
Our values drive our actions, behaviours, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.
Not Relocation Eligible – Relocation assistance not available.
Compensation and Benefits Salary range: $82,000 – $164,000 USD. Benefits include medical, dental, vision, life insurance, short‑term & long‑term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, holidays, and potential incentive compensation programs.
EEO Statement RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.
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Location: Remote — United States of America.
What You Will Do
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.
Analyze systems requirements and design specifications.
Perform 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.
Test, debug, and refine the computer software to produce the required product.
Qualifications You Must Have
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.
Qualifications We Prefer
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.
What We Offer
Our values drive our actions, behaviours, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.
Not Relocation Eligible – Relocation assistance not available.
Compensation and Benefits Salary range: $82,000 – $164,000 USD. Benefits include medical, dental, vision, life insurance, short‑term & long‑term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, holidays, and potential incentive compensation programs.
EEO Statement RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.
#J-18808-Ljbffr