Full-Stack Data Engineer

RPMGlobal; Miami, Northern (FL, KY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Base-2 Solutions, headquartered in Miami, FL, seeks a Full-Stack Data Engineer to develop, maintain, and optimize data pipelines, APIs, and front-end interfaces for geospatial data visualization.

You will work with Databricks, ESRI ArcGIS environments, and cloud-based databases to build scalable web applications with metadata-driven search, RESTful and GraphQL APIs, and secure CI/CD deployments.

Qualifications

• Bachelor's degree or 5 years equivalent experience in field.
• Experience building full-stack apps for data viz, dashboards, analytics.
• Experience implementing RESTful and GraphQL APIs.
• CI/CD pipelines, Kubernetes deployments, API authentication.
• Experience optimizing queries for large geospatial datasets.

Responsibilities

• Develop, maintain, and optimize data pipelines, APIs, and front-end interfaces for geospatial data visualization.
• Work with Data Lakes platforms including Databricks, Kubernetes, and ESRI ArcGIS environments.
• Build scalable, secure web apps with metadata-driven search/retrieval.
• Integrate APIs for seamless data interoperability.
• Develop and deploy full-stack apps enabling visualization and analytics within ESRI GIS platforms and cloud databases.
• Implement RESTful and GraphQL APIs for data retrieval and integration.
• Manage CI/CD pipelines and containerized deployments in Kubernetes with secure access.
• Optimize database queries and indexing for large-scale datasets.

Skills

Data visualization

Dashboarding

Analytics

API integration

Geospatial data handling

Security best practices

Education

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

5 years of equivalent experience in full-stack development and data engineering

Tools

Databricks

Kubernetes

ESRI ArcGIS

Unity Catalog

RESTful APIs

GraphQL APIs

CI/CD pipelines

Containerized deployments

Cloud-based databases

Job description

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