Software Engineer (Full Stack)

Responsibilities:

Develop, maintain, and optimize data integration pipelines, API services, and front-end interfaces for accessing and visualizing geospatial and structured data.

Work with Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering.

Build scalable, secure web applications, implementing metadata-driven search and retrieval features, and integrating APIs for seamless data interoperability is required.

Qualifications:

Active TS/SCI Clearance

A 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.

Must have 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.

Desired but not Required Certifications:

AWS Certified Data Analytics – Specialty, Microsoft Certified: Azure Data Engineer Associate, or ESRI ArcGIS Developer Certification.