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Join Regrow, a leader in climate tech, and revolutionize agriculture industry with your expertise in scalable geospatial data solutions
Overview
Salary No salary declared 😔
Location Remote - Canada
Nomad Friendly? 
Expires Expires at anytime
Visa Visa sponsor
Regrow is not just another technology company. We specialise in climate tech with a critical mission to reverse global climate change. As a company founded on scientific innovation and agri-technology, we're leading the agricultural sector into a resilient future. With operations reaching over 100 organizations, we have made a significant impact on reducing carbon emissions through regenerative farming practices.
Role Summary:
- Design, build, test and deploy scalable geospatial APIs, services and data pipelines
- Collaborate with cross-functional teams for delivering complex geospatial data solutions
- Brainstorm features and mentor other engineers
- Breakdown work into tasks for execution by other engineers
Role Requirements:
- 5+ years experience in building and deploying data pipelines and services in Python
- Proficiency in manipulating raster vector data structures and geospatial libraries/tools
- Experience with geospatial data standards
- Expertise in creating geospatial data processing workflows
- Knowledge of REST APIs and proficiency in Python Web Frameworks
- Understanding of relational databases and data warehouses
- Experience in deploying on major cloud platforms
- Excellent communication skills in English
- Experience with docker and Kubernetes
- Proficient in Python code optimization
We encourage a diverse and inclusive work environment. If you are seeking an opportunity to make a difference in the world, apply to Regrow.
We are a climate tech company committed to reversing climate change. How do we reach this lofty goal? By ushering the agriculture industry into a new era!
Founded by globally recognized innovators in science and ag technology, Regrow is unlocking the power and profitability of resilient agriculture across the supply chain — supporting industry leaders, from growers to global food brands. Regrow combines best-in-class agronomy, soil and carbon modeling, remote sensing, and AI to deliver customized, site-specific, scalable solutions to the agri-food industry. Our mission is to make agriculture resilient globally, on every acre and every farm.
Regrow serves over 100 organizations that have collectively invested more than $19M to help farmers adopt regenerative practices. These actions will abate more than 800k tonnes of CO2e, equivalent to the carbon sequestered by 934k acres of U.S. forests in one year.
What will you do?
Design, build, test, and deploy scalable geospatial APIs, services, and data pipelines Collaborate with science teams, product managers, and other backend engineers to deliver complex geospatial data solutions Brainstorm features with engineering management, product managers and domain experts based on your knowledge of the codebase Expertly review code, have your code reviewed, and mentor other engineers Breakdown work into clearly defined tasks that can be completed by other engineersQualifications:
5+ years of experience building and deploying high-quality customer facing production data pipelines and services primarily in Python Experience working with raster and vector data structures, and proficient in geospatial libraries/tools such as GDAL, Rasterio, Shapely, and QGIS. Skilled at manipulating multi-dimensional raster data and large-scale geospatial arrays (e.g., using NumPy, xarray, or Dask). Exposure to geospatial data standards, including OGC-compliant services (WMS, WFS, WCS) and SpatioTemporal Asset Catalog (STAC) specifications for organizing and querying data. Proven experience creating and deploying data processing workflows ( Airflow, Argo, Kafka, etc) that enable scalable, reproducible, and version-controlled geospatial data generation. Working knowledge of REST APIs with Python Web Frameworks such as FastAPI, Flask, Django, etc. Strong understanding of relational databases (PostgreSQL (with PostGIS), MySQL) and data warehouses like BigQuery, with proficiency in querying geospatial data and working with indexes, geometry types, and geospatial joins. Experience deploying apps/services on at least one major enterprise cloud platform (AWS, GCP, or Azure). Excellent English language presentation and communication skills Well-versed in Kubernetes and Docker (building and scheduling containers). Proficient in profiling, debugging, tracing, and or parallelizing/optimizing Python code.Does this sound like your dream job? If so, apply for the position, and we’ll contact you. We appreciate your interest in Regrow. We are committed to fostering a diverse, inclusive environment and to promoting these values in everyone on our team.
