SkyGeo

We are a young and dynamic data-driven company with the goal to measure the world. We use advanced satellite technology, InSAR, to detect the slightest movements of the earth’s surface anywhere in the world. Our in-house technologies are used across various industries from mining to civil engineering to give customers ways to monitor, alert and quantify their assets. While we are not a start-up anymore and fully fund ourselves we still value creative problem-solving, flat hierarchies, and everybody having a voice to build the best global monitoring product possible. Our primary language of choice is Python. Being a geospatial company, we use tools such as Rasterio, Pyproj, GeoPandas, and PyGEOS. We process large amounts of data, which means we have to be very deliberate about performance and scalability. This means we do vectorized operations using Numpy, compile with Numba where possible, and utilize lazy evaluation solutions, such as Dask provides. Since we are dealing with complex data, a (geo-)scientific background is a plus. As a Scientific Software Developer at Skygeo, you will be operating on the interface between mathematics, geo-data analytics, and programming. We are looking for both mid-level and senior engineers to help grow and maintain our scientific software toolchain. If you have deployed apps to the cloud, have worked with large data sets, and value to conceptualize and build features for a growing product in a small team we would like to hear from you. Our team is somewhat distributed between Europe and the US, while we value office time in our HQ in Delft, we are also open to remote work or hybrid in our NYC office if you can overlap with the rest of the team at core hours of 13:00 - 17:00 CET.