AI & Data Engineer, Data Discovery Services

Bristol Myers Squibb · Princeton, NJ

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ResearchFull-time$88k–$106kCompany career page

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Role summary

Bristol Myers Squibb seeks an AI & Data Engineer to build and maintain data discovery pipelines and semantic knowledge layers within Enterprise Data Platforms. The role combines data engineering, search optimization, and applied AI to make enterprise data accessible across the organization.

What they're looking for

Bachelor's degree in computer science, data science, or related field
Production experience with Python, SQL, and data pipeline development
Proficiency with Databricks, AWS Glue, and AWS cloud services
Experience with OpenSearch or Elasticsearch
Solid ETL/ELT patterns, data modeling, and pipeline orchestration fundamentals
Understanding of metadata management and data cataloging concepts

What you'll be doing

Build and maintain Python pipelines to extract, enrich, and publish metadata from enterprise data catalogs
Tune and optimize search indexes and investigate root causes of pipeline issues across Databricks and AWS
Develop semantic knowledge layers using vector embeddings, chunking, and metadata enrichment for RAG applications
Maintain integrations that keep taxonomy and ontology changes synchronized across the discovery platform
Design and analyze metadata pipelines that map cross-domain dataset relationships with confidence scoring

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