A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
Eligible U.S. Citizenship Required? Yes 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 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). NT
