GIS Data Engineer — Full-Stack, APIs, Data Lakes

Base-2 Solutions, LLC.

Miami (FL)

Hybrid

USD 120,000 - 180,000

Full time

14 days+

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Job summary

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

The role requires experience with Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based databases, plus knowledge of RESTful and GraphQL APIs and secure CI/CD deployments.

Qualifications

  • Bachelor's degree in Computer Science, Data Engineering, or related field or 5 years of equivalent experience.
  • Experience delivering full-stack data visualization dashboards and APIs within ESRI ArcGIS and cloud databases.
  • Experience implementing RESTful and GraphQL APIs.
  • Experience managing CI/CD pipelines and Kubernetes deployments.
  • Experience optimizing large-scale geospatial and structured data queries.

Responsibilities

  • Develop, maintain, and optimize data pipelines, APIs, and front-end interfaces for geospatial data.
  • Work with Databricks, Kubernetes, ESRI ArcGIS environments.
  • Build scalable web apps with metadata-driven search and retrieval.
  • Deploy RESTful and GraphQL APIs for data interoperability.
  • Manage CI/CD and containerized deployments in Kubernetes, with secure API access.
  • Optimize queries and indexing for large geospatial datasets.

Skills

Full-stack development
Data engineering
Geospatial data visualization
RESTful APIs
GraphQL APIs
CI/CD pipelines
Kubernetes
ESRI ArcGIS
Databricks
Cloud databases

Education

Bachelor's degree or 5 years equivalent experience

Tools

Databricks
Kubernetes
ESRI ArcGIS
Unity Catalog
Cloud databases

Job description

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

The role requires experience with Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based databases, plus knowledge of RESTful and GraphQL APIs and secure CI/CD deployments.

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