What You'll Be Owning:
As a Full-Stack Data Engineer, you will be responsible for creating and processing data layers from ETL outputs in Data Lake and transforming them into geospatial data layers in ESRI Kubernetes notebooks.
What You Must Have:
-
TS/SCI Security Clearance Required Bachelor’s degree in Computer Science, Data Engineering, or a related field, or five (5) years of equivalent experience in full-stack development and data engineering.
-
Knowledge and capability to develop, maintain, and optimize data integration pipelines, API services, and front-end interfaces for accessing and visualizing geospatial and structured data.
-
Proficient in Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering.
-
Expertise in building scalable, secure web applications, implementing metadata-driven search and retrieval features, and integrating APIs for seamless data interoperability is required.
-
Demonstrated experience in:
-
Developing and deploying full-stack applications that enable data visualization, dashboarding, and analytics within ESRI-based GIS platforms, Unity Catalog, and cloud-based databases.
-
Implementing RESTful and GraphQL APIs for seamless data retrieval and integration between Data Lake, ESRI ArcGIS, and external sources.
-
Managing CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms to ensure secure access to research products.
-
Optimizing database queries and indexing strategies for large-scale geospatial and structured datasets.
What Would Be Nice to Have:
-
Certifications to include AWS Certified Data Analytics – Specialty, Microsoft Certified: Azure Data Engineer Associate, or ESRI ArcGIS Developer Certification.