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# Support Scientist

- **Company:** RIVA Solutions, Inc.
- **Location:** Washington, DC, United States
- **Experience:** Starter
- **Salary:** $105,000 - $110,000
- **Contract:** Permanent contract
- **Skills:** Geographic Information Systems, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Big Data, Cloud Computing, Cloud Engineering, Information Systems, Computer Programming, Information Engineering, Data Security, Database Queries, Python (Programming Language), Machine Learning, NetCDF, Cloud Services, Software Engineering, Systems Integration, Web Services, Build Management, Information Technology, Api Design, Restful APIs, Raster Graphics, Api Management
- **Published:** November 12, 2026
- **Apply:** https://www.careerbuilder.com/job-details/support-scientist-dc--4ac11e95-727a-414f-b293-df35a2a50fac

## About the Role

Federal Government, System Integration (SI), Information Technology & Information Systems, Computer Programming, Cloud Computing, National Environmental Satellite Data and Information Service (NESDIS), Oceanography, Customer/Client Research, Establish Priorities, Application Programming Interface (API), * Education: Bachelor's or Master's degree in Computer Science, Earth Sciences, Geography, GIS, Meteorology, or a related quantitative field.

 * Experience: 2 to 5 years of professional experience in scientific programming, software engineering, or data engineering.
 * Cloud Computing: Hands-on experience working in AWS cloud environment to host, manage, and distribute large datasets.
 * Geospatial Data Expertise: Strong proficiency in manipulating and processing Earth observation data. Must have practical experience with both raster (NetCDF, HDF, GeoTIFF) and vector (Shapefile) formats.
 * Programming & APIs: Strong proficiency in Python (including libraries like Xarray, Rasterio, GeoPandas) and experience building RESTful APIs for data querying and subsetting.
 * Problem Solving: Proven ability to engineer practical, innovative solutions that balance technical constraints with end-user requirements., * Experience or interest in applying Artificial Intelligence (AI) and Machine Learning (ML) solutions to geospatial data challenges.
 * Prior experience working with NOAA, NESDIS, or federal cloud frameworks
 * Knowledge of OGC (Open Geospatial Consortium) web services and standards.

The salary or salary range for this role reflects an estimated range informed by multiple compensation factors. Final offers may vary based on considerations such as relevant experience, education and training, critical skillsets, and overall business needs.

## Description

NOAA's CoastWatch Program is seeking a Junior to Mid-Level Scientific Programmer to support a new initiative: identifying and implementing optimal methods for disseminating satellite information products via a cloud environment and function as a part of a team executing the overall CoastWatch mission.

This project focuses on hosting, distributing, and providing application-based access to STAR satellite information products. The goal is to modernize how operational end users access science-level data, ensuring that new products are readily available for user feedback to increase their operational readiness. You will help CoastWatch and PolarWatch maintain, sustain, and enhance capabilities in satellite polar oceanography and marine cryosphere data by navigating NESDIS cloud constraints, leveraging artificial intelligence (AI) where appropriate, and prioritizing user-centric API solutions., * This Scientific Programmer will work with the existing CoastWatch team in transitioning experimental and operational datasets to cloud-native delivery systems. You will be responsible for or will contribute to theser primary responsibilities, dependant upon knowledge, skills, and expertise:

 + Cloud Architecture & Dissemination: Evaluate and implement cloud hosting solutions for STAR satellite products, taking inspiration from existing NOAA Common Cloud Framework (NCCF) projects like the Wildland Fire Data Portal (WFDP) and the Space Weather Portal (SPOT).
 + API Development: Design and build robust data access APIs that allow end users to easily filter, download, and crop datasets to specific spatial and temporal regions of interest.
 + Geospatial Data Handling: Work extensively with satellite data products and processing in NetCDF, and cloud optimized formats (COG, ZARR, GEOTiF) for example, IceLynx data (Arctic C-band synthetic aperture radar [SAR] scenes, 6-hour, and daily mosaics).
 + Multi-Format Application Development: Build a prototype application capable of ingesting, fusing, and serving datasets in varying spatial and temporal resolutions, specifically handling both raster formats (e.g., NetCDF) and vector formats (e.g. Shapefiles).
 + Quality Assurance & Transition: Help provide "moderate assurance" services for products in transition. Develop QA and science maintenance capabilities that underpin the validity of these services for operational NOAA Line Office users.
 + Collaboration: Work with Cryosphere Science Teams, PolarWatch, and NESDIS stakeholders in addition to CoastWatch team members to align cloud solutions with both scientific production realities and strict operational constraints.