Geospatial Data Engineer - Top Secret/SCI, On-Site

Base-2 Solutions; Miami (FL); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health benefits

401(k) plan

Paid time off

Job summary

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

The candidate must be proficient in Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering. This on-site role requires U.S.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering or related field, or 5+ years of equivalent experience.
• Experience building full-stack data visualization and analytics apps on ESRI GIS platforms.
• Experience with RESTful and GraphQL APIs for data retrieval and integration.
• Experience managing CI/CD pipelines and Kubernetes deployments.
• Experience optimizing large-scale geospatial and structured datasets.

Responsibilities

• Develop, maintain, and optimize data pipelines, APIs, and front-end interfaces for geospatial and structured data.
• Work with Data Lakes including Databricks, Kubernetes, and ESRI ArcGIS environments.
• Build scalable web apps with metadata-driven search and retrieval.
• Integrate APIs for data interoperability and visualization dashboards.
• Deploy full-stack apps within ESRI GIS platforms, Unity Catalog, and cloud databases.

Skills

Full-stack development

Data engineering

Geospatial data visualization

RESTful APIs

GraphQL APIs

CI/CD pipelines

Kubernetes

ESRI ArcGIS

Databricks

Unity Catalog

Education

Bachelor's degree in Computer Science / Data Engineering

Tools

Databricks

Kubernetes

ESRI ArcGIS

Unity Catalog

Job description

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

The candidate must be proficient in Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering. This on-site role requires U.S.