Product Engineer - GIS Analyst

raster and vector datasets

• Script workflows to curate, cleanse, merge, and reconcile heterogeneous geospatial data from multiple sources (satellite and aerial imagery, vector datasets, and more)
• Develop tools/scripts to ensure spatial/temporal consistency, projection alignment, and format interoperability
• Format, index, and store datasets systematically to support training and evaluation of GeoAI models
• Assist in the creation of large-scale training datasets for deep learning projects
• Collaborate with ML engineers to support automated retraining pipelines and data augmentation strategies
• Analyze datasets to evaluate coverage, balance, and feasibility for model training and generalization
• Maintain internal datasets, catalogs, and documentation with a focus on reusability and QA/QC protocols
• Collaborate with product engineers and data scientists to develop training materials and documentation to assist the growing GeoAI user base
• Provide technical support to internal and external users working with pretrained models or contributing datasets

Requirements

• 2 to 6 years of experience working with geospatial datasets, including data preparation and labeling for machine learning or GIS applications
• Proficiency in Python scripting for automation of geospatial data processing pipelines and familiarity with packages like GDAL, rasterio, geopandas, pandas, NumPy, and Pyproj
• Experience working with ArcGIS Pro and/or Python-based open-source geospatial stacks (such as QGIS, GeoPandas, Earth Engine)
• Strong organizational skills, with attention to data structuring, version control, and pipeline monitoring
• Ability to document workflows clearly and communicate technical information effectively
• A proactive mindset, with the ability to work independently and manage multiple data-related tasks simultaneously
• Bachelor's degree in GIS, Geography, Remote Sensing, Geoinformatics, or a related field
• Existing work authorization for India

Recommended Qualifications

• Master's degree in GIS, Geography, Remote Sensing, Geoinformatics, or a related field
• Experience working with satellite or aerial imagery, and large vector datasets; understanding of SAR and hyperspectral data is a bonus
• Familiarity with AI/ML workflows and model training pipelines
• Experience working on geospatial data labeling/annotation pipelines, especially in ML training workflows
• Familiarity with cloud-based geospatial data storage or compute frameworks (such as Google Earth Engine, AWS S3, STAC)

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About Esri

At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here.

If you don't meet all of the preferred qualifications for this position, we encourage you to still apply!

Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email [email protected] and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.

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