Gis Engineer
ASCENDING
πRemote - Worldwide
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Job highlights
Summary
Join our team as a fully remote GIS Data Engineer, preferably located on the East Coast. We are seeking a seasoned Postgres database engineer with leadership skills and experience in open-source and ESRI technologies. The ideal candidate will have a strong background in geospatial scientific data analysis. This role requires 12+ years of professional experience, including 8+ years with open-source and COTS GIS software. A Bachelor's or Master's degree in a related field is required. The position offers the opportunity to work with large, complex datasets and contribute to a collaborative team environment.
Requirements
- Have 12+ years of overall professional experience
- Have 8+ years working with open-source and COTS GIS software and databases (e.g., QGIS, ArcGIS, PostGIS, SDE) and their associated APIs or interfaces
- Possess knowledge of best practices in data management, standards, quality, and interoperability
- Have proficiency in one or more scripting languages (e.g., Python, R) with demonstrated experience in data-centric environments
- Have experience with geospatial Big Data pipelines, analysis techniques, and tools
- Have familiarity with services like EC2, S3, Lambda, RDS, Glue, etc
- Have a Bachelor's or Masterβs in geography, computer science, engineering, mathematics, geosciences, or a related field
Responsibilities
- Manage, convert, and maintain large volumes of vector geodata (e.g., shapefiles, geospatial databases, GeoJSON, GeoPackage, etc.)
- Maintain, query, and perform spatial analysis in PostGIS spatial databases and/or SQL Server Spatial/Oracle Spatial
- Model, manipulate, process, optimize, and extract value from large, complex, disconnected GIS datasets
- Promote team engagement, psychological safety, and Agile practices such as paired programming, jam sessions, and knowledge sharing
- Value innovation, experimentation, and rapid prototyping to generate insights
- Encourage coding best practices, including CI/CD, source control, SDLC, and technical debt management
- Partner with Product Owners to prioritize the backlog and provide rough estimates in ambiguous situations
- Demonstrate strong communication, mentoring, problem-solving, and collaboration abilities
Preferred Qualifications
- Have a proven track record of staying current with advancements in geospatial technologies
- Have experience with geospatial analysis and visualization tools and techniques
- Possess knowledge of web mapping frameworks (e.g., Deck.gl, Leaflet, MapLibre)
- Have familiarity with geospatial and other RESTful APIs
- Have experience with geospatial data processing frameworks like GeoTrellis or Rasterio
- Have awareness of machine learning or AI techniques for geospatial data analysis
- Have familiarity with serverless architectures or Kubernetes for geospatial processing
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