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RIVA Solutions

Government IT consulting and cybersecurity services

Support Scientist

Data EngineeringConfirmed live in the last 24 hours
Full-timeWashington, DC, USA$105k - $110kIn-person

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Earth Sciences, Geography, GIS, Meteorology, or a related quantitative field.
  • Two to five years of professional experience in scientific programming, software engineering, or data engineering.
  • Hands-on experience working in an AWS cloud environment to host, manage, and distribute large datasets.
  • Strong proficiency in manipulating and processing Earth observation data, including practical experience with raster formats (NetCDF, HDF, GeoTIFF) and vector formats (Shapefile).
  • Strong proficiency in Python, including libraries such as Xarray, Rasterio, and GeoPandas, and experience building RESTful APIs for data querying and subsetting.
  • Proven ability to engineer practical solutions that balance technical constraints with end-user requirements.

Responsibilities

  • Work with the existing CoastWatch team to transition experimental and operational datasets to cloud-native delivery systems.
  • Evaluate and implement cloud hosting solutions for STAR satellite products, drawing on NOAA Common Cloud Framework projects such as the Wildland Fire Data Portal and Space Weather Portal.
  • Design and build data access APIs that let end users filter, download, and crop datasets to specific spatial and temporal regions of interest.
  • Work with satellite data products and process them in NetCDF and cloud-optimized formats such as COG, ZARR, and GeoTIFF, including IceLynx Arctic C-band synthetic aperture radar scenes and six-hour and daily mosaics.
  • Build a prototype application capable of ingesting, fusing, and serving datasets in varying spatial and temporal resolutions, handling both raster formats such as NetCDF and vector formats such as Shapefiles.
  • Help provide moderate assurance services for products in transition and develop quality assurance and science maintenance capabilities to support their validity for operational NOAA Line Office users.
  • Collaborate with Cryosphere Science Teams, PolarWatch, NESDIS stakeholders, and CoastWatch team members to align cloud solutions with scientific production realities and operational constraints.

Desired Qualifications

  • Experience or interest in applying artificial intelligence and machine learning solutions to geospatial data challenges.
  • Prior experience working with NOAA, NESDIS, or federal cloud frameworks.
  • Knowledge of Open Geospatial Consortium web services and standards.

About the Company

RIVA Solutions

Government IT consulting and cybersecurity services

RIVA Solutions provides government-focused services across management consulting, science and engineering, digital services, emerging technologies, infrastructure and cloud, data science, cybersecurity, and DevSecOps for Defense, Homeland Security, Intel, and civilian agencies. It works by pairing managers, technologists, and scientists who collaborate on projects, supported by an Innovation Lab that assesses new technologies and processes to improve efficiency and cut costs. It differentiates itself through its combination of management and technical talent, mission-focused outcomes, and a strong emphasis on training and career development to grow its workforce. Its goal is to solve complex problems with creative, technology-enabled solutions and to transform agencies through enterprise solutions that enable better government outcomes.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
McLean, VA
Founded
2009

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