- Requisition ID: 2714
- Standard Title:
- Required Security Clearance: Top Secret/SCI
- Location: Doral, FL
- Work Type: On-Site
- Shift: First
- Referral Eligibility: Eligible
- U.S. Citizenship Required? Yes
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
Pay & Benefit Highlights
Compensation
- 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).
Health
- 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.
Income Protection
- 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 premiums for life insurance up to $200,000.
Retirement
- 401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total).
- 401(k) pre-tax and Roth options.
Leave
- Up to 20 days of flexible paid time off (PTO).
- 11 paid floating holidays.
Work-Life Balance
- Flexible work schedules, including flex time and compressed work periods (contract and project-dependent).
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