Full-Stack Data Engineer

Base-2 Solutions is seeking a Full-Stack Data Engineer to support the USSOUTHCOM J26 ENHANCED DOMAIN AWARENESS task order in Doral, FL (onsite). This role centers on building reliable data access and visualization experiences, with a focus on geospatial and structured data integration, secure APIs, and performant front-end interfaces.

What you get

• Competitive fixed salary or hourly pay based on experience, skills, location, and internal equity.
• Employee referral bonuses up to $10,000 per hired referral.
• Additional bonus opportunities for exceptional performance and contributions to business development and company growth (role-dependent).
• Comprehensive health benefits: 100% company-paid medical premiums for employees and eligible dependents, with plan options through CareFirst, Kaiser, and UnitedHealthcare (PPO, POS, HMO, and HSA-compatible plans).
• 100% company-paid dental and vision premiums for employees and eligible dependents.
• Income protection: 100% company-paid premiums for short-term disability and long-term disability.
• Coverage: 100% company-paid premiums for AD&D, and life insurance up to $200,000.
• 401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total), with pre-tax and Roth options.
• Time off: up to 20 days of flexible paid time off (PTO) and 11 paid floating holidays.
• Flexible scheduling including flex time and compressed work periods (contract and project-dependent).

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 capabilities.
• Integrate APIs to enable seamless data interoperability across systems.
• Develop and deploy full-stack applications that support 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 the 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.

Requirements

• Bachelor’s degree in Computer Science, Data Engineering, or a related field, or at least 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.

Security clearance: Active Top Secret/SCI.

Technologies: Databricks, Kubernetes, ESRI ArcGIS, ESRI-based GIS platforms, Unity Catalog, RESTful APIs, GraphQL, CI/CD, cloud-based databases.