Data Engineer

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

Benefits offered by this job

TS/SCI clearance

Job summary

Base-2 Solutions is seeking a Data Engineer to support USSOUTHCOM J26 ENHANCED DOMAIN AWARENESS. The role involves developing, maintaining, and optimizing data pipelines, API services, and front-end interfaces for accessing and visualizing geospatial and structured data.

Candidate should be proficient with Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering, enabling scalable analytics and dashboards.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, or related field.
• 5+ years of full-stack development and data engineering experience.
• Experience with ESRI ArcGIS GIS platforms, Unity Catalog, and cloud databases.
• Experience building RESTful and GraphQL APIs for data retrieval.
• CI/CD pipelines and Kubernetes deployments; API authentication experience.
• Experience optimizing large-scale geospatial and structured datasets.

Responsibilities

• Develop and optimize data integration pipelines for geospatial data.
• Build API services and front-end interfaces for visualization.
• Work with Databricks, Kubernetes, and ESRI ArcGIS environments.
• Implement RESTful and GraphQL APIs for data retrieval.
• Manage CI/CD pipelines and secure API access.
• Improve database queries and indexing for large datasets.

Skills

Full-stack development

Data visualization

Dashboarding

RESTful APIs

GraphQL APIs

CI/CD

Kubernetes

Education

Bachelor's degree in Computer Science or related field

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