AI Data Pipeline Engineer in , United States

Experience working with geospatial data types (rasters and vectors) Experience building data pipelines to integrate data from multiple sources:

Designing and implementing readers to extract metadata from data sources, with a focus on flexible readers that can adapt to new and changing data formats. Designing and implementing metadata enrichment capabilities, such as data providence, pedigree, lineage, and security attributes. Designing and implementing event pipelines that orchestrate data cataloging processes for different data types, including processes for data extraction, normalization, enrichment, and ingestion. Leveraging AI to enhance data extract, enrichment, catalog, and discovery capabilities

Experience with designing and building AI agents Integrating mission data with LLMs using RAG and MCP Designing and building Node.js applications and dashboards connected to Oracle Databases OpenAI Codex Desired Skills/Capabilities: Oracle Cloud Infrastructure (OCI) Oracle AI Database 26ai Oracle Exadata and/or OCI Autonomous AI Database Service on Exadata AI-enabling data in Oracle Databases using Vector data type, RAG, and MCP Designing multi-modal databases that integrate multiple data types, including