Geospatial Data Engineer - TS/SCI, On-Site

Base-2 Solutions

Town of Florida (NY)

On-site

USD 110,000 - 165,000

Full time

41 hours ago
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Benefits offered by this job

Health insurance
Dental coverage
Vision coverage
401(k) with company match
Paid time off
Flexible work schedules

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 integration 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.

Qualifications

  • Bachelor's degree in CS or related field, or 5 years in equivalent roles.
  • Experience deploying full-stack data visualization apps.
  • Proficient in RESTful and GraphQL APIs.
  • Experience with Kubernetes and CI/CD in cloud environments.

Responsibilities

  • Develop and optimize data integration pipelines.
  • Build APIs for data retrieval and interoperability.
  • Develop front-end interfaces for geospatial data visualization.
  • Work with Databricks, Kubernetes, ESRI ArcGIS.
  • Enable dashboards and analytics within ESRI GIS platforms.
  • Manage CI/CD and secure API authentication.

Skills

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

Education

Bachelor's degree in CS or related field

Tools

Databricks
Unity Catalog
ESRI ArcGIS

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 integration 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.

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