Top Secret/SCI Full-Stack Data Engineer — GIS & Cloud

Base-2 Solutions; Miami (FL); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

Health benefits

401(k) with company match

Paid time off

Disability and life insurance

Job summary

Base-2 Solutions is seeking a Full-Stack Data Engineer to support USSOUTHCOM J26 ENHANCED DOMAIN AWARENESS. The role focuses on developing, maintaining, and optimizing data integration pipelines, API services, and front-end interfaces for accessing and visualizing geospatial and structured data.

The candidate must be proficient with Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering to deliver scalable, secure web applications and

Qualifications

• Bachelor's degree or equivalent experience in CS/Data Engineering.
• Experience building data visualization dashboards and analytics.
• Experience delivering RESTful and GraphQL APIs for data retrieval.

Responsibilities

• Develop, maintain, and optimize data pipelines, APIs, 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 data interoperability.
• Develop and deploy full-stack apps enabling visualization and analytics within ESRI GIS platforms and cloud databases.
• Implement RESTful and GraphQL APIs for data retrieval and integration.

Skills

Full-stack development

Data pipelines

Geospatial visualization

RESTful APIs

GraphQL APIs

Kubernetes

Databricks

ESRI ArcGIS

Education

Bachelor's degree in Computer Science or related

5+ years experience in data engineering

Tools

Unity Catalog

Cloud databases

Job description

Base-2 Solutions is seeking a Full-Stack Data Engineer to support USSOUTHCOM J26 ENHANCED DOMAIN AWARENESS. The role focuses on developing, maintaining, and optimizing data integration pipelines, API services, and front-end interfaces for accessing and visualizing geospatial and structured data.

The candidate must be proficient with Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering to deliver scalable, secure web applications and