Offer summary

Qualifications:

5+ years of experience in building and deploying production data pipelines and services primarily in Python., Proficient in geospatial libraries/tools such as GDAL, Rasterio, Shapely, and QGIS., Strong understanding of relational databases and data warehouses, with experience in querying geospatial data., Excellent communication skills in English..

Key responsibilities:

Design, build, test, and deploy scalable geospatial APIs and data pipelines.

Collaborate with science teams and product managers to deliver complex geospatial data solutions.

Mentor other engineers and review code to ensure quality.

Break down work into clearly defined tasks for other engineers.

Job description

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 engineers

Qualifications:

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.

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