Full-Stack Data Engineer

Responsibilities

• Develop, maintain, and optimize an outward-facing data catalog that integrates geospatial and research data layers.
• Be proficient in full-stack development, database architecture, and API integration to enable seamless search, filtering, and rendering of structured research products.
• Expertise in Databricks Unity Catalog, ESRI ArcGIS Metadata APIs, Open Lineage, and geospatial data frameworks is essential.
• Strong software development skills in Python, JavaScript (React, Angular, or Vue), SQL, and RESTful API design are required.
• Demonstrate proficiency in cloud environments such as AWS, Azure, or Google Cloud, and implementing scalable data-driven applications.

Requirements

• Active TS/SCI clearance
• Bachelor's degree in Computer Science, Data Engineering, Geospatial Information Systems (GIS), or a related field, or five (5) years of equivalent experience in data engineering, full-stack development, and metadata-driven data cataloging.
• Demonstrated experience in developing interactive web-based data portals, implementing API driven data exchange, and integrating geospatial data layers into web applications.
• Experience working with Databricks, ESRI ArcGIS Feature Services, OpenLineage, and metadata management solutions is required.

Qualifications

Desirable but not required certifications include Microsoft Certified: Azure Data Engineer Associate, AWS Certified Data Analytics – Specialty, or ESRI Web GIS Developer Certification.