SilviaTerra
San Francisco
11-50 employees
Expanding our collective understanding of forests and strengthen our ability to manage these complex and vital ecosystems.
Prior Listings
Data Engineer
Data Engineer
This job is no longer open
About SilviaTerra
SilviaTerra helps mission-driven companies buy carbon credits from American forest owners. Based on a decade of work with America's largest landowners, our data-driven platform brings gigatons of new carbon offsets to market. Our mission is to work with every forest owner to unlock the full value of every acre.
Read more in this TechCrunch feature article about SilviaTerra.
We are backed by some of the world’s leading VC firms who were early investors in companies like Twitter, Etsy, Kickstarter, and Coinbase. Our global team of foresters, scientists, and technologists hails from leading research institutions and high growth technology startups.
We are looking for passionate, collaborative, and entrepreneurial individuals to join the team. If you like fast-paced environments and want to help us build the future of forestry, then we’d love to speak to you!
Job Description
SilviaTerra is built on Basemap - our flagship forest inventory data product. Terabytes of geospatial images are integrated with on the ground measurements and processed in the cloud to create a groundbreaking look at earth's forests. This is the base on which new ecosystem service markets will be built.
The Data Engineering team at SilviaTerra is responsible for developing and maintaining the infrastructure for transforming remote sensing data and field observations into high resolution estimates of forest composition. As a Data Engineer you will work closely with the Data Science team to efficiently deploy statistical models to produce the Basemap dataset at massive scale.
This is a remote position.
Key Responsibilities
- Streamline and automate pipelines for working with remote sensing data
- Collaborate with Data Science team to implement model improvements
- Optimize model prediction to facilitate rapid deployment of updated models
- Maintain continuous integration testing workflows
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data import and delivery, re-designing infrastructure for greater scalability
Desired Skills & Experience
- 2+ years of professional experience building, deploying, and maintaining production software and systems at scale using modern development practices
- Experience building and maintaining Python and R packages
- Experience working with large raster / csv / json datasets in Python and R
- Experience with cloud computing infrastructure (AWS and/or Azure)
- Experience working with geospatial and remote sensing data
- Dedication to code quality, testing, design processes, automation, and operational excellence
SilviaTerra is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law. Applicants must be authorized to work in the United States.
This job is no longer open