Job Description

We are seeking a Geospatial Data Engineer to design, build, and scale geospatial data products that support Digital Agriculture Solutions, 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.

Key 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

Required Qualifications

• 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.

Preferred Qualifications

• 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.

Success in this Role

• Deliver scalable geospatial processing systems and high-quality satellite-derived data products.
• Enable production digital agriculture solutions through effective integration of remote sensing, weather, soil, and observational datasets.
• Drive innovation in geospatial analytics and remote sensing capabilities across the organization.

Benefits – How We’ll Support You:

• 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

• Learn more about our total rewards package here - Corteva Benefits

• Check out life at Corteva! www.linkedin.com/company/corteva/life

Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.

Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.