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Summer Geospatial Data Science Intern Jobs in Indiana

Engineer Summer Intern

Middlebury, IN · On-site

$15 - $19.50/hr

Summer intern will assist with Weights and Measures process management Intern will also work on assembling foundational data that outlines FR Corporate vehicle configurations (RV, Marine, Cargo, Bus ...

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Summer Geospatial Data Science Intern information

What is the difference between Summer Geospatial Data Science Intern vs Summer GIS Intern?

AspectSummer Geospatial Data Science InternSummer GIS Intern
Required CredentialsRelevant coursework in data science, GIS, or related fields; basic programming skillsGIS certifications or coursework; GIS software proficiency
Work EnvironmentData analysis, modeling, programming, and spatial data processingMapping, spatial data management, and GIS software application
Employer & Industry UsageTech companies, environmental agencies, research institutionsGovernment agencies, urban planning firms, environmental organizations

The Summer Geospatial Data Science Intern role focuses on analyzing spatial data using data science techniques and programming, while the Summer GIS Intern emphasizes mapping and managing spatial data with GIS software. Both positions require familiarity with GIS concepts, but the data science internship leans more toward programming and data analysis, whereas the GIS internship centers on mapping and spatial data management.

What cities in Indiana are hiring for Summer Geospatial Data Science Intern jobs? Cities in Indiana with the most Summer Geospatial Data Science Intern job openings:
Infographic showing various Summer Geospatial Data Science Intern job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Geospatial Data Engineer

Geospatial Data Engineer

Corteva Agriscience

Indianapolis, IN • On-site

Full-time

Medical, Retirement, PTO

Posted 11 days ago


Job description

Position Summary
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.