AI Data Pipeline Engineer in , United States

AI Data Pipeline EngineerMUST HAVE A POLY CLEARANCE TO APPLYRequired Skills/Capabilities: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 capabilitiesExperience with designing and building AI agentsIntegrating mission data with LLMs using RAG and MCPDesigning and building Node.js applications and dashboards connected to Oracle DatabasesOpenAI CodexDesired Skills/Capabilities:Oracle Cloud Infrastructure (OCI)Oracle AI Database 26aiOracle Exadata and/or OCI Autonomous AI Database Service on ExadataAI-enabling data in Oracle Databases using Vector data type, RAG, and MCPDesigning multi-modal databases that integrate multiple data types, including: RelationalSpatialJSON (including JSON Relational Duality)Graph