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Job ID: 40996
Job Openings by Title Geospatial Engineer (remote)
Location United States
Description:
 
Position: Geospatial Engineer
Job ID:		40996


Responsibilities:
-develop, implement, and maintain geospatial data and technologies to enhance our insurance solutions. 
-support key business objectives by improving our understanding of geographical risk factors, optimizing our risk assessment tools, and driving data-driven decisions for our clients. 

-the ideal candidate has strong experience in GIS technology, spatial data analysis, and a passion for leveraging geospatial information in innovative ways.
· Develop and maintain geospatial data models and applications to support, particularly in areas such as risk assessment, claims processing, and underwriting.
· Integrate spatial data from diverse sources, ensuring data quality, accuracy, and relevance 
· Design and implement algorithms and spatial analysis models to enhance geographic risk identification, hazard assessment, and predictive analytics.
· Collaborate with data scientists, software engineers, and product managers to integrate geospatial insights contributing to data-driven solutions for customers.
· Evaluate and optimize GIS workflows, processes, and tools to improve scalability and performance.
· Stay up-to-date on GIS technologies, industry trends, and data standards to continuously enhance geospatial capabilities.
· Document and communicate technical requirements, processes, and insights with both technical and non-technical stakeholders.

Qualifications:

·  Bachelor’s or Master’s degree in Geospatial Science, Geographic Information Systems, Computer Science, or a related field.
·  3+ years of experience in geospatial data analysis, GIS software (e.g., ArcGIS, QGIS), and spatial databases (e.g., PostGIS, SQL).
·  Proficiency in programming languages, such as Python or JavaScript, with experience in spatial libraries (e.g., GDAL, Geopandas).
·  Strong understanding of GIS concepts, including spatial data structures, coordinate systems, and geoprocessing techniques.
·  Experience with cloud-based GIS and geospatial tools, such as AWS, Google Maps API, or similar.

-->SALARY:100-150k

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