Candidates support the National Environmental Satellite, Data, and Information Service (NESDIS) to transfer scientific advances into operational software, from prototype, integration, to fully operational software. You will provide end to end processes (lifecycle reviews, information system design, application design, application development, data processing, quality control inspection, transition to operations, and maintenance) for scientific application processing systems and their products. Will work very closely with Government employees including scientists, software and data architects and engineers, and IT technologists on various projects.
· Work with NOAA government staff to coordinate science products, algorithm integration, and science processing for the next generation NOAA weather satellites using industry standard software engineering techniques.
· Code, test, and document interfaces of moderate to high complexity.
· Support science algorithm integration and research-to-operation efforts.
**Green Card or US Citizenship Required**
Compensation - $80,000 to $120,000 Annually
Benefits Offered - 401K, Dental, Life, Medical, Vision
Employment Type - Full-Time
· 2+ years of experience in C/C++
· 2+ years of knowledge of Unix/Linux
· Experience with Python, Perl, or Shell Scripting
· Experience with inter-operability between Fortran 90/95 and C/C++
· Skilled at finding, identifying the cause of, and resolving bugs and anomalies
· Experience with CM tools such as Git and GitLab
· Experience with container operations (preferably Docker)
· Experience with real-time and off-line processing of satellite data, science algorithm development.
· Familiarity with scientific data formats such as HDF and netCDF
· Experience processing and managing large volumes of data
· Previous integration experience
· Teamwork, strong inter-personal skills
· Ability to obtain and maintain a government security clearance.
· BS or greater degree with formal course work in physics, mathematics and computer programming
· Educational background or experience in satellites and remote sensing
About NESDIS STAR ASSISTT PROGRAM
The NOAA NESDIS STAR ASSISTT Program specializes in transitioning systems from research to operations. We support integration tasks for several NOAA weather satellites by ensuring that a functional algorithm is in place and ready for operations. ASSISTT works with science teams and stakeholders to: conduct a standard set of project reviews; generate a standard set of documentation; develop and refine requirements; track risks and mitigation; clean code for coding/security, common data formats and metadata (CF & ISO), standard languages, tools, and libraries; test software; validate products, perform configuration management; and prepare the Delivered Algorithm Package.
About the Center for Satellite Applications and Research (STAR). The Center for Satellite Applications and Research (STAR) is the science arm of the National Environmental Satellite, Data, and Information Service (NESDIS), which acquires and manages the nation's environmental satellites for the National Oceanic and Atmospheric Administration (NOAA). STAR activities, integral to the implementation of NOAA's priorities, are aligned with and carried out in direct support of NOAA and NESDIS programs, strategic goals, and performance objectives. STAR’s mission is to accelerate the transfer of satellite observations of the land, atmosphere, ocean, and climate from scientific research and development into routine operations, and offer state-of-the-art data, products, and services to decision-makers.
About National Environmental Satellite, Data and Information Service (NESDIS)
The NESDIS mission is to provide secure and timely access to global environmental data and information from satellites and other sources to promote and protect the Nation's security, environment, economy, and quality of life. As a long-standing NESDIS partner, GAMA-1 works with NESDIS to provide data ingest, archive, and stewardship and redistribution of critical weather, climate, and ocean and weather model data.