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Data Engineer, Global Forest Watch

To stop deforestation, we need to know where it is happening and who is responsible in time to take action. Global Forest Watch (GFW) is the only free online platform providing near-real-time information and analysis about when, where and why forests are changing around the world. Our specialized application GFW Pro empowers the private sector to manage their decision making on sourcing and investment decisions to conserve forest landscapes.

We seek a data engineer to join our dynamic team that’s changing the future of forest and land-use monitoring. You will be working within a matrixed group across both technical and non-technical teams within Global Forest Watch, including product managers, GIS analysts, internal software engineers, and external web developers.

You will work with our global datasets on forest and land use change with billions of data points. You will bring web-scale technology to standard GIS operations, build complex data pipelines and managing datasets for analysis and display on our private sector application Global Forest Watch Pro. Currently, we use Elasticsearch to query our large geospatial datasets, Spark for batch processing, PostGIS and ArcSDE for managing spatial data layers and rasterio in AWS Lambda for on the fly analysis of our raster datasets for user-drawn areas of interest.

To apply, you should be a Python programmer, enthusiastic about Earth Sciences, with experience in big data analysis and spatial data. If you do not already possess hands-on experience in coding languages such as Scala, Golang or C++, you will be expected to learn them.

To learn more about this position and apply, visit