Data Engineer

Base-2 Solutions is supporting a USSOUTHCOM J26 ENHANCED DOMAIN AWARENESS task order and is seeking a Data Engineer to help deliver geospatial and structured data visualization capabilities. The work focuses on building and optimizing data integration pipelines, API services, and ESRI-based front-end interfaces, along with secure, containerized deployments and CI/CD.

This onsite role is located in Miami, FL, United States and requires experience delivering end-to-end data engineering and full-stack analytics solutions in GIS environments.

What You’ll Do

• 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 support seamless data interoperability across systems.
• Develop and deploy full-stack ESRI-based GIS analytics and dashboarding solutions, including work involving Unity Catalog and cloud-based databases.
• Implement RESTful and GraphQL APIs to enable 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 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.

Technologies

• Databricks
• Kubernetes
• ESRI ArcGIS
• Unity Catalog
• RESTful APIs
• GraphQL APIs
• CI/CD pipelines

Security Clearance

• Active Top Secret/SCI

Education

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

Benefits

• 100% company-paid medical premiums for employees and eligible dependents.
• Choose from multiple plan options with CareFirst, Kaiser, and UnitedHealthcare, including PPO, POS, HMO, and HSA-compatible plans.
• 100% company-paid dental premiums for employees and eligible dependents.
• 100% company-paid vision premiums for employees and eligible dependents.
• 100% company-paid premiums for short-term disability.
• 100% company-paid premiums for long-term disability.
• 100% company-paid premiums for accidental death & dismemberment (AD&D).
• 100% company-paid life insurance up to $200,000.
• 401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total).
• 401(k) pre-tax and Roth options.
• Up to 20 days of flexible paid time off (PTO).
• 11 paid floating holidays.
• Flexible work schedules, including flex time and compressed work periods (contract and project-dependent).
• 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).
• Competitive fixed salary or hourly pay based on experience, skills, location, and internal equity.

Preferred Qualifications

• AWS Certified Data Analytics - Specialty
• Microsoft Certified: Azure Data Engineer Associate
• ESRI ArcGIS Developer Certification