AI Data Pipeline Engineer

Bespoke Technologies, Inc.; Reston, Northern (VA, KY); Ibrido; USD 140.000 - 210.000; Tempo pieno

Descrizione del lavoro

Bespoke Technologies, Inc. is seeking a skilled AI/Data Platform engineer in Reston, VA to design and implement data pipelines, geospatial data workflows, and AI-enabled cataloging solutions.

The role requires active Poly clearance; candidates without Poly will not be considered. Responsibilities include building readers, metadata enrichment, and event pipelines to orchestrate data ingestion, leveraging RAG and MCP with LLMs, and developing Node.js apps connected to Oracle Databases.

Competenze

• Experience working with geospatial data types (rasters and vectors).
• Experience building data pipelines to integrate data from multiple sources, including designing readers and metadata enrichment (providence, lineage, security).
• Designing and implementing event pipelines for data cataloging across data types (extraction, normalization, enrichment, ingestion).
• Leveraging AI to enhance data extract, enrichment, catalog, and discovery capabilities.
• Experience 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.
• Experience with OpenAI Codex.

Conoscenze

Geospatial data types

Data pipelines

Metadata enrichment

Event pipelines

AI agents design

RAG MCP integration

Node.js dashboards

OpenAI Codex

Strumenti

Oracle Databases

Oracle AI Database 26ai

Exadata / OCI Autonomous AI Database

Vector data type

Descrizione del lavoro

**Please do NOT apply if you do not have an active Poly clearance. Those without a Poly will not be considered.**

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 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:
  • Relational
  • Spatial
  • JSON (including JSON Relational Duality)
  • Graph