Data Engineer

Base-2 Solutions, LLC.; Miami (FL); Hybrid; USD 120,000 - 180,000; Full time

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

Position 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.

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