Geospatial Data Engineer

Corteva Agriscience • Indianapolis, IN

1d

About The Position

We are seeking a Geospatial Data Engineer to design, build, and scale geospatial data products that support Digital Agriculture Solutions and Crop intelligence platforms. The ideal candidate combines expertise in remote sensing, geospatial processing, and cloud-native architectures to transform Earth observation data into scalable, production-ready analytics and machine learning solutions.

Requirements

• Bachelor's or Master's degree in Geospatial Science, Remote Sensing, GIS, Computer Science, Data Engineering, or a related field.
• 5+ years of experience in geospatial engineering, remote sensing, geospatial software development, or related disciplines.
• Strong experience working with raster and vector geospatial data at scale.
• Proficiency in Python and modern geospatial processing frameworks.
• Experience designing cloud-based geospatial processing solutions and production workflows.
• Strong understanding of coordinate systems, projections, raster processing, and spatial analytics.

Nice To Haves

• Experience with GDAL, Rasterio, GeoPandas, Shapely, Xarray, STAC APIs, or similar geospatial tools.
• Experience with Earth Engine, GCP, AWS, Azure, or distributed processing platforms.
• Experience integrating remote sensing, weather, soil, and observational datasets.
• Knowledge of agricultural analytics, crop monitoring, pest forecasting, disease modeling, or related digital agriculture applications.
• Experience supporting machine learning workflows using geospatial features.

Responsibilities

• Design and implement scalable geospatial processing workflows using Earth observation datasets (e.g., Sentinel, SAR etc.) to generate field/regional scale insights for digital agriculture applications.
• Architect, develop, and deploy scalable geospatial data products and cloud-native processing solutions that integrate multiple data types with earth observational datasets to support production digital agriculture solutions.
• Partner with data scientists, agronomists, software engineers, and product teams to operationalize geospatial insights and enable scalable solutions.
• Provide technical leadership in geospatial engineering, remote sensing, cloud architecture, and emerging Earth observation technologies, while promoting best practices in scalability, data quality, and system design.

Benefits

• Numerous development opportunities offered to build your skills
• Be part of a company with a higher purpose and contribute to making the world a better place
• Health benefits for you and your family on your first day of employment
• Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays
• Excellent parental leave which includes a minimum of 16 weeks for mother and father
• Future planning with our competitive retirement savings plan and tuition reimbursement program

What This Job Offers

• Job Type: Full-time
• Career Level: Senior