Ocean Forecast Web Engineer II — GIS & Cloud

ITegrity, Inc.; Silver Spring (MD); On-site; USD 90,000 - 140,000; Full time

Job summary

ITegrity, Inc. seeks a software developer to build and run web map tools for ocean forecast data. You will keep a daily data pipeline and a web map viewer running smoothly, and collaborate with scientists and partner teams across the agency.

You will improve visualization interfaces, extend the map viewer, and implement quality checks on forecasts and observations, using spatial and time-series methods, while supporting cloud deployment and documentation.

Qualifications

• Bachelor's or Master's in engineering, oceanography, IT, or related field
• 4+ years building or supporting cloud-based systems
• Experience with ArcGIS Pro/Online: publishing and sharing map layers
• Strong Python programming
• MATLAB or Fortran experience
• JavaScript, HTML, CSS
• Linux and Git
• Good communication and teamwork

Responsibilities

• Develop and improve web-based software for visualizing coastal ocean forecasts
• Design clear, user-friendly interfaces for forecast model developers and users
• Build and extend an interactive map viewer comparing forecasts with observations
• Develop tools for routine quality checks on forecast products and observations using spatial and time-series methods
• Support and improve automated cloud processes turning model and satellite data into map layers
• Test, document and support the software you build

Skills

ArcGIS Pro/Online

Python

MATLAB/Fortran

JavaScript/HTML/CSS

Linux

Git

Communication & teamwork

Education

Bachelor's/Master's in engineering/oceanography/IT

Job description

ITegrity, Inc. seeks a software developer to build and run web map tools for ocean forecast data. You will keep a daily data pipeline and a web map viewer running smoothly, and collaborate with scientists and partner teams across the agency.

You will improve visualization interfaces, extend the map viewer, and implement quality checks on forecasts and observations, using spatial and time-series methods, while supporting cloud deployment and documentation.