Role OverviewDevelop, maintain, and optimize data integration pipelines, API services, and front-end interfaces for geospatial and structured data visualization.
What You Will Do
Build scalable, secure web applications with metadata-driven search and retrieval features, integrate APIs for seamless data interoperability, and implement RESTful and GraphQL APIs for data retrieval and integration.
Why It Might Be a Fit
The candidate must be proficient in Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering.
Requirements
- Bachelor's degree in Computer Science, Data Engineering, or a related field
- Minimum of 5 years of equivalent experience in full-stack development and data engineering
- Demonstrated experience developing and deploying full-stack applications for data visualization, dashboarding, and analytics within ESRI-based GIS platforms, Unity Catalog, and cloud-based databases
- Experience implementing RESTful and GraphQL APIs for data retrieval and integration
- Experience managing CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms
- Experience optimizing database queries and indexing strategies for large-scale geospatial and structured datasets
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