Geospatial Data Engineer, Full-Stack & API Expert

Base-2 Solutions, LLC

Florida

Vor Ort

USD 110.000 - 140.000

Vollzeit

14 Tage+

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Zusammenfassung

Base-2 Solutions is seeking a Software Engineer to support USSOUTHCOM J26 ENHANCED DOMAIN AWARENESS. You will develop, maintain, and optimize data integration pipelines, API services, and front-end interfaces for accessing geospatial and structured data.

Proficiency in Databricks, Kubernetes, ESRI ArcGIS, and Unity Catalog is required. Responsibilities include building scalable web applications, integrating APIs for data interoperability, and deploying full-stack solutions within GIS platforms

Qualifikationen

  • Bachelor’s degree in Computer Science, Data Engineering, or a related field or 5 years of equivalent experience.
  • Experience developing full-stack data visualization dashboards for ESRI GIS platforms and cloud databases.
  • Experience implementing RESTful and GraphQL APIs for data retrieval.
  • Experience managing CI/CD pipelines and containerized deployments in Kubernetes.
  • Proven ability to optimize large-scale geospatial and structured data queries.

Aufgaben

  • Develop, maintain, and optimize data integration pipelines and API services for geospatial data.
  • Build front-end interfaces and dashboards for geospatial and structured data visualization.
  • Work with Data Lakes platforms including Databricks and ESRI ArcGIS environments.
  • Develop and deploy full-stack applications enabling visualization and analytics in GIS contexts.
  • Implement RESTful and GraphQL APIs for data interoperability.
  • Manage CI/CD pipelines and Kubernetes-based deployments with secure access.

Ausbildung

Bachelor’s degree in Computer Science, Data Engineering, or a related field

Tools

Databricks
ESRI ArcGIS
Unity Catalog
Cloud-based databases
Kubernetes

Jobbeschreibung

Position Summary

Base-2 Solutions is seeking a Software 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.

Essential Duties and Responsibilities

  • Develop, maintain, and optimize data integration pipelines, API services, and front-end interfaces for geospatial and structured 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 between Data Lake, ESRI ArcGIS, and external sources.
  • 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.

Required Qualifications

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

Preferred Qualifications

  • AWS Certified Data Analytics – Specialty.
  • Microsoft Certified: Azure Data Engineer Associate.
  • ESRI ArcGIS Developer Certification.

Required Education and Experience Equivalency

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

Required Certifications

  • None specified.

Required Security Clearance

  • Active Top Secret/SCI
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