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Data Lake Engineer

L6

base2 solutionsMiami, FL2 days ago
Position Summary: Base-2 Solutions is seeking a Data Lake 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 EquivalencyBachelor’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 CertificationsNone specified. Required Security ClearanceActive Top Secret/SCI
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Level

LeadL6

Location

Miami, FL

Occupation

Data Warehousing Specialists

Industry

Computer Systems Design Services

Posted

2 days ago

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