ASCENDING Inc. · 4 hours ago
GIS Engineer
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Information ServicesInformation Technology
No H1B
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Responsibilities
Promotes team engagement, psychological safety, and Agile practices such as paired programming, jam sessions, and knowledge sharing.
Values innovation, experimentation, and rapid prototyping to generate insights.
Encourages coding best practices, including CI/CD, source control, SDLC, and technical debt management.
Partners with Product Owners to prioritize the backlog and provides rough estimates in ambiguous situations.
Demonstrates strong communication, mentoring, problem-solving, and collaboration abilities.
Qualification
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Required
12+ years of overall professional experience.
8+ years working with open-source and COTS GIS software and databases (e.g., QGIS, ArcGIS, PostGIS, SDE) and their associated APIs or interfaces.
Knowledge of best practices in data management, standards, quality, and interoperability.
Proven ability to manage, convert, and maintain large volumes of vector geodata (e.g., shapefiles, geospatial databases, GeoJSON, GeoPackage, etc.).
Hands-on experience maintaining, querying, and performing spatial analysis in PostGIS spatial databases and/or SQL Server Spatial/Oracle Spatial.
Skilled in modeling, manipulating, processing, optimizing, and extracting value from large, complex, disconnected GIS datasets.
Proficiency in one or more scripting languages (e.g., Python, R) with demonstrated experience in data-centric environments.
Experience with geospatial Big Data pipelines, analysis techniques, and tools.
Familiarity with services like EC2, S3, Lambda, RDS, Glue, etc.
Promotes team engagement, psychological safety, and Agile practices such as paired programming, jam sessions, and knowledge sharing.
Values innovation, experimentation, and rapid prototyping to generate insights.
Encourages coding best practices, including CI/CD, source control, SDLC, and technical debt management.
Partners with Product Owners to prioritize the backlog and provides rough estimates in ambiguous situations.
Demonstrates strong communication, mentoring, problem-solving, and collaboration abilities.
Bachelor's or Master’s in geography, computer science, engineering, mathematics, geosciences, or a related field.
Preferred
A proven track record of staying current with advancements in geospatial technologies.
Experience with geospatial analysis and visualization tools and techniques.
Knowledge of web mapping frameworks (e.g., Deck.gl, Leaflet, MapLibre).
Familiarity with geospatial and other RESTful APIs.
Experience with geospatial data processing frameworks like GeoTrellis or Rasterio.
Awareness of machine learning or AI techniques for geospatial data analysis.
Familiarity with serverless architectures or Kubernetes for geospatial processing.