Full-Stack Data Engineer

Position Summary

Base-2 Solutions is seeking a Full-Stack 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.

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