Descartes Labs
Santa Fe, NM
51-200 employees
Enabling commercial and government organizations to harness the power of geospatial analytics to better understand their relationship with the physical world.
Prior Listings
Geospatial Data Engineer
Geospatial Data Engineer
This job is no longer open
The Company
Descartes Labs helps organizations whose success depends on scientific analysis of observable, physical world events. We are the leading provider of geospatial analytics that create actionable intelligence by strengthening our customers’ proprietary data with models of the earth. Our solutions create new sources of environmental sustainability and operational advantage and foresight for agriculture, CPG, mining, and government users by combining machine intelligence and domain expertise into a complete operational solution.
Descartes Labs is proud to be a remote-first, deliberately distributed organization that recognizes that people have different needs and motivations for building a life and career that matters and works for them. For this reason, we are open to our employees working from any location, in a way that enhances their well-being, productivity, and role. We focus on helping our employees produce positive outcomes and we recognize that the path to getting there will look different for different people.
The Role
Descartes Labs is looking for a geospatial data engineer with strong experience building data-processing pipelines and familiarity with earth observation data. This role will help us build our cloud-based supercomputer that currently ingests 10 Terabytes of near real-time geospatial data per day. . Our microservices-based platform is developed from the ground up cloud-native, and we see a peak load of nearly 1 billion API calls a day. We aim to supercharge machine learning scientists to ask geospatial and temporal questions not previously possible by building a world-class catalog of analysis ready data.
Your Impact
- Deliver a wide range of datasets, from raster to vector, multispectral to radar, to the DL platform
- Expand our geospatial data offerings through harmonization and normalisation transformations
- Make our data storage and access faster and more scalable
- Work with our data science team to build a system that allows clients to focus on analysis and problem solving
- Contribute your own ideas to the larger engineering and data science teams
What You Bring
- Undergraduate degree in a relevant technical area
- Strong familiarity with Linux systems
- Real-world software experience in Python is required; experience in other languages is also valuable
- Experience with geospatial, planetary, or astronomical datasets is required
- Demonstrated experience with established geospatial libraries (gdal, pyproj, shapely, pdal, etc)
- Proficiency with git and modern distributed version control system practices is required
- Code examples (preferably github / bitbucket / etc) are required
- Familiarity with cloud systems (AWS / Google Cloud / Azure) and cloud infrastructure is a plus
- Familiarity with Kubernetes and distributed computing is a plus
Who You Are
- Curious. You are always exploring and experimenting, interested in why and how, seeking not only to understand but to make work and the world better. You enthusiastically share your learning with others and actively seek information and knowledge.
- Conscientious. You are determined, always keep your promises, and are forward thinking. Principled and integrous, you take your commitments seriously.
- Humble. Unpretentious and self-aware, you cultivate compassion for others and take responsibility for your mistakes. Egos are barriers to doing the best work and always learning.
- Open and Inclusive. You are receptive and interested in new ideas and perspectives, even when those perspectives don’t agree with your views. You value and respect difference and create ways for all people to contribute to the organization.
- Collaborative. You know it takes a team to get anything accomplished and you actively and inclusively work across the organization. You listen intently and openly and are always focused first on creating the best results.
- Adaptable. You are able to navigate changing circumstances and environments with ease and approach uncertainty with enthusiasm, while inspiring others towards effective goal setting and accomplishment.
Top Reasons to Work at Descartes Labs
- We pride collaboration over ownership, iteration over perfection, principles over rules, and discussion over directives
- We’re using the world’s top technology to solve the world’s largest problems with a strong focus on sustainability, environment, and impact science
- We look at Descartes Labs as a work environment where people are included, treat their colleagues with professional regard and respect, and thrive as a result
- We’re a highly collaborative company that constantly promotes success through teamwork
- We strongly encourage and enjoy a flexible work environment
- Descartes Labs offers a generous compensation package including competitive salary; choice of medical plan; dental, life, and disability insurance; a 401K plan; paid holidays and paid time off
You belong here! If your experience and interests match with some of the above, we want you to apply. Nobody is an expert on all or even parts of our stack. When you join our team you will deepen and widen your knowledge as you grow with us over the next few years.
Descartes Labs is committed to building a diverse community and we embrace equal opportunity in a serious way. We strive to be a team with a variety of backgrounds, perspectives and skills. Scientific discovery is in our DNA and the more inclusive we are, the better our work will be; diversity fuels innovation!
Accommodations will be provided as requested by candidates during all aspects of our interview process.
This job is no longer open