I AM HIRED

Неделя 310 ₽Месяц 630 ₽3 месяца 1 680 ₽Год 5 680 ₽

GIS / Web Developer (Software Engineer II) — Silver Spring, MD

Разработчики, Веб-разработка, Full-stack · вчера, 22:27 · 07.11.2026

Зарплата не указана

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Компания: ••••••••

Локация: Silver Spring, MD

Формат: не указан

Занятость: Полная занятость

Грейд: Middle

Join a small team building and running web map tools for ocean forecast data. You'll keep a daily data pipeline and a web map viewer running smoothly, improve them over time, and work with scientists and partner teams across the agency.

Duties & Responsibilities

• Develop and improve web-based software for visualizing coastal ocean forecasts and checking their quality.

• Design clear, user-friendly interfaces that meet the needs of forecast model developers and the people who use the forecasts.

• Build and extend an interactive map viewer for comparing ocean forecasts with satellite and in-situ observations.

• Develop tools for routine quality checks on forecast products and observations, using spatial and time-series methods.

• Support and improve the automated cloud processes that turn model and satellite data into map layers.

• Test, document and support the software you build.

Required Qualifications

• Education: a Bachelor's or Master's degree in engineering, oceanography, information technology, or a closely related field. A Bachelor's degree may be replaced by 4 to 5 years of relevant experience in addition to the minimum below.

• Experience: at least 4 years building or supporting cloud-based systems and processes, following sound IT practices.

• Skills:

• Experience with ArcGIS, such as ArcGIS Pro and ArcGIS Online: publishing, sharing and managing map layers.

• Strong Python.

• Experience with MATLAB or Fortran.

• JavaScript, HTML and CSS.

• Linux and Git.

• Good communication and teamwork.

Desired Skills

• ArcGIS Maps SDK for JavaScript, or the ArcGIS API for Python.

• Sharing data publicly from the cloud, for example AWS S3 and CloudFront, or ArcGIS Online.

• Gridded scientific data such as NetCDF (for example with xarray), or satellite products.

• Scheduled jobs and automation on Linux servers.

• A background in, or interest in, oceanography or meteorology.

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