Full-Stack Data Engineer for Geospatial Visualization

Base-2 Solutions, LLC

Miami (FL)

On-site

USD 110,000 - 170,000

Full time

6 days ago

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Job summary

Base-2 Solutions seeks a Software Engineer to support USSOUTHCOM J26 Enhanced Domain Awareness task order. You will develop, maintain, and optimize data pipelines, API services, and front-end interfaces for geospatial and structured data visualization.

The role requires expertise with Data Lakes platforms (Databricks, Kubernetes) and ESRI ArcGIS environments, plus cloud-based data engineering. You will build scalable web apps, implement RESTful and GraphQL APIs, and manage CI/CD pipelines to

Qualifications

Bachelor’s degree in Computer Science, Data Engineering, or a related field.
5+ years of equivalent experience in full-stack development and data engineering.
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.

Responsibilities

Develop, maintain, and optimize data integration pipelines, API services, and front-end interfaces for geospatial data visualization.
Work with Data Lakes platforms including Databricks, Kubernetes, and ESRI ArcGIS environments.
Build scalable, secure web applications with metadata-driven search and retrieval features.
Integrate APIs for seamless data interoperability.
Develop and deploy full-stack applications enabling data visualization, dashboarding, and analytics within ESRI-based GIS platforms, Unity Catalog, and cloud-based databases.
Implement RESTful and GraphQL APIs for data retrieval and integration.
Manage CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms to ensure secure access to research products.
Optimize database queries and indexing strategies for large-scale geospatial and structured datasets.