Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Cataloguing, Cloud Computing, Data Formats, Data Management, Data Processing, JSON, MCP - Microsoft Certified Professional, Metadata, Node.js, Oracle, Oracle Database, Oracle OCI (Oracle Call Interface), Reporting Dashboards, Spatial Data
LOCATION
Springfield, Virginia
POSTED
Today
BT-326 – AI Data Pipeline Engineer Skill Level- Senior Principal Location- Reston, VA
**MUST HAVE A POLY CLEARANCE TO APPLY**
Required 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 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: