AI Data Pipeline Engineer (Senior) – Geospatial & LLM Ops

Bespoke Technologies, Inc.

Reston (VA)

On-site

USD 150,000 - 230,000

Full time

2 days ago
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Job summary

Bespoke Technologies, Inc. in Reston, VA is seeking a Senior Principal AI Data Pipeline Engineer to lead design and implementation of scalable data pipelines for geospatial data, metadata enrichment, and data cataloging.

You will drive AI-powered data extraction, normalization, and discovery using advanced reader design and adaptable readers. You will leverage AI/LLMs, RAG, MCP, and Node.js dashboards connected to Oracle databases to orchestrate data extraction, enrichment, and ingestion across

Qualifications

  • Experience 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

Skills

geospatial data types
data pipelines
metadata enrichment
event pipelines
AI for data extract/enrichment/catalog
AI agents
RAG and MCP integration
Node.js dashboards
OpenAI Codex
readers for metadata extraction

Tools

Node.js
Oracle Databases
OpenAI Codex

Job description

Bespoke Technologies, Inc. in Reston, VA is seeking a Senior Principal AI Data Pipeline Engineer to lead design and implementation of scalable data pipelines for geospatial data, metadata enrichment, and data cataloging.

You will drive AI-powered data extraction, normalization, and discovery using advanced reader design and adaptable readers. You will leverage AI/LLMs, RAG, MCP, and Node.js dashboards connected to Oracle databases to orchestrate data extraction, enrichment, and ingestion across

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