Staff Data Engineer

PayPal PayPal · Fintech · San Jose, CA +2 · Data Engineering

Staff Data Engineer to architect and develop enterprise-class data platforms and pipelines at massive scale, processing billions of records with expertise in both batch and real-time architectures. The role requires deep technical leadership, advanced SQL skills, and innovation through Agentic AI to conceptualize next-generation data solutions for a CDP-based Marketing Automation Platform.

What you'd actually do

  1. Architect and hands-on develop enterprise-class data platforms capable of processing billions of records with high reliability and performance
  2. Lead technical design and implementation of complex data systems spanning batch and real-time/streaming architectures
  3. Write and optimize advanced complex SQL for data transformation, analysis, and performance tuning at petabyte scale
  4. Build low-latency data solutions that solve time-critical business problems with sub-second response requirements
  5. Drive innovation through Agentic AI - conceptualize and design data solutions that leverage Agentic AI capabilities

Skills

Required

  • Data engineering
  • Data architecture
  • Data pipelines
  • Batch processing
  • Real-time processing
  • Complex SQL
  • Data analysis
  • Technical leadership
  • Agentic AI concepts

Nice to have

  • Mentoring junior engineers
  • MarTech platform development
  • CDP experience
  • Marketing Automation Platform experience

What the JD emphasized

  • Agentic AI
  • deeply hands-on technical leadership role
  • mastery in building enterprise-class data platforms and pipelines at massive scale
  • architect and develop data systems processing billions of records
  • expertise in both batch and real-time architectures
  • solve low-latency business problems
  • expert-level complex SQL skills
  • advanced data analysis capabilities
  • determine new technical approaches that impact the broader team
  • ramp up quickly and lead by example through hands-on contribution

Other signals

  • Agentic AI
  • data infrastructure
  • pipelines
  • systems
  • CDP-based Marketing Automation Platform
  • billions of records
  • batch and real-time architectures
  • low-latency business problems
  • complex SQL
  • advanced data analysis
  • technical leadership
  • hands-on contribution