A Geospatial Data Engineer is responsible for designing, developing, and maintaining systems and processes to manage, analyze, and visualize geospatial data efficiently. They work with large volumes of spatial data, such as satellite imagery, GPS data, and geographic information system (GIS) datasets, to create scalable data pipelines and storage solutions. Geospatial Data Engineers also collaborate with data scientists, analysts, and software developers to integrate geospatial data into applications and decision support systems for various industries like urban planning, agriculture, transportation, and environmental monitoring.
The average salary range of a Geospatial Data Engineer on Tech Jobs
for Good is $133,000 -
$202,000. However, it's important to note that
this figure can vary
based on many factors such as location, level of experience, industry, and the specific
organization
or company.
The top 5 job skills for a geospatial data engineer are:
- Salesforce
- Excel
- Continuous Integration (CI/CD)
- Postgres
- Kubernetes
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