AI Data Pipeline Engineer

Bespoketechinc

Reston (VA)

On-site

USD 120,000 - 150,000

Full time

14 days+

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Job summary

Bespoketechinc is looking for a Senior Principal AI Data Pipeline Engineer located in Reston, VA. The role involves designing and implementing data pipelines, enriching data capabilities, and leveraging AI for improved data processes. A poly clearance is mandatory for applicants.

Successful candidates will have experience with geospatial data types and command over Node.js applications, as well as a solid background in AI technologies like OpenAI Codex.

Qualifications

  • Experience working with geospatial data types (rasters and vectors).
  • Experience building data pipelines to integrate data from multiple sources.
  • MUST HAVE A POLY CLEARANCE TO APPLY.

Responsibilities

  • Design and implement data readers and enrichment capabilities.
  • Orchestrate data cataloging processes using AI.

Skills

Working with geospatial data types
Building data pipelines
Designing and implementing AI agents
Node.js applications and dashboards
OpenAI Codex

Job description

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