Remote Staff Data Engineer

Summary

The job is for a Staff Data Engineer at Pachama, a company using AI and remote sensing to scale forest conservation and restoration. The role involves leading the development of data systems, collaborating with teams, and building efficient compute systems for geospatial data. Remote work is preferred, but being within 3 hours of Pacific time is preferred due to cross-functional communication responsibilities.

Requirements

• Experience leading larger cross-team engineering efforts
• Experience with data engineering including ingest, storage, orchestration and compute at scale with an ability to apply these skills to new domains like forest science and remote sensing
• Strong software engineering practices and a background in Python programming, debugging/profiling, and version control and system design
• Distributed Compute - familiarity with distributed compute technologies and knowledge of distributed systems concepts (like CPU/GPU interactions/transfers, latency/throughput bottlenecks, pipelining/multiprocessing) Our tech stack includes Dask and Flyte

Preferred Qualifications

• Geospatial - familiarity with raster and vector data, nuances of geospatial data and common geospatial cloud-native data formats (geopackage, flatgeobuf, cloud-optimized geotiff). Our tech stack includes Zarr, Rasterio, Geopandas, and Xarray
• Data for ML application- Have worked with ML teams previously

Benefits

• $117,180 - $186,000 a year (salary range for this position is $117,180 USD to $186,000 USD)
• The position is also eligible for equity