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Zscaler

Principal GenAI Data Engineer

Zscaler

Principal GenAI Data Engineer architecting enterprise-scale data platforms for AI at Zscaler. Leading the design and implementation of scalable data pipelines for GenAI applications.

Posted 5/28/2026full-timeRemote • 🇺🇸 United StatesLead💰 $182,000 - $260,000 per yearWebsite

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Architect enterprise-scale GenAI data platforms for ingestion, transformation, enrichment, and serving of structured and unstructured data
  • Design scalable pipelines for enterprise knowledge ingestion from diverse data sources including documents, SaaS platforms, knowledge bases, collaboration tools, and databases
  • Define architecture for metadata extraction, chunking, enrichment, embeddings generation, and knowledge preparation workflows
  • Design AI-ready data models and storage strategies for vector, graph, and hybrid knowledge systems
  • Architect scalable unstructured data processing pipelines for text, images, PDFs, tables, and multimodal content

Requirements

What you’ll need
  • Expert-level Python programming and software engineering capabilities
  • Experience building distributed/scalable data pipelines for AI workloads
  • Strong understanding of unstructured data extraction and processing pipelines
  • Experience with vector databases, graph databases, and metadata/knowledge storage systems
  • Hands-on experience with clustering, entity recognition algorithms, and modern retrieval strategies (including RAG, search, and agentic AI workflows)

Benefits

Comp & perks
  • Various health plans
  • Time off plans for vacation and sick time
  • Parental leave options
  • Retirement options
  • Education reimbursement
  • In-office perks, and more!

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
Pythondata pipelinesunstructured data processingmetadata extractionclustering algorithmsentity recognitionvector databasesgraph databasesAI workloadsretrieval strategies