PayPal · paypal.wd1.myworkdayjobs.com · checked today

Principal Engineer, Cloud Data Infrastructure

2 LocationsStaff25+ yrsData Platformposted 5 d ago

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers.

Skills, with evidence

AWS
5+ years building and operating large-scale distributed systems in production cloud environments (AWS preferred).must have · not practised here
Data modelling
Deep, hands-on technical expertise across data and messaging systems — relational and NoSQL databases, distributed caching, and message queue architectures; you can get into the internals when needed.must have
Data quality
Demonstrated track record delivering performance improvements and scalability enhancements for consumer-facing applications serving tens of millions of users.must have
Streaming
Knowledge of modern data pipeline frameworks and real-time analytics architectures.
Airflow / orchestration
Strong DevOps engineering background including infrastructure as code, CI/CD for data systems, and automation-first operational practices.
Failure handling
Familiarity with resilience engineering, failure injection testing, and business continuity planning.
Terraform
Strong DevOps engineering background including infrastructure as code, CI/CD for data systems, and automation-first operational practices.not practised here

Your plan

The SQL screen: correct, then fast
Data quality
- Interview audit union capstoneAdvanced
- Airbnb: converting on a day with no published rateAdvanced
- Current-row snapshot auditAdvanced
- Customer null completenessAdvanced
- Data-quality audit summaryAdvanced
≈ 2 h
Data modelling: the round most people fail
Data modelling
- Claims, reserves, and payments that reverseAdvanced
- Customer 360 tradeoffsAdvanced
- Datasets, owners, and access grantsAdvanced
- Care episodes, providers, and overlapping responsibilitiesAdvanced
- Loads, drivers, and backhauls that vanishAdvanced
≈ 4 h
Pipeline design: safe to run twice
Streaming · Airflow / orchestration · Failure handling
- Fourteen months of wrong numbersAdvanced
- Creator payout runAdvanced
- You fixed it. Who already used it?Advanced
- Ten terabytes of clicks, and a question about sessionsAdvanced
- The payload changed overnightAdvanced
≈ 4 h
Say it out loud
Rehearse: Data Modeling · Model design
≈ 1 h

15 drills · Advanced + Intermediate≈ 11 hours

Not covered by the plan: AWS, Terraform.

Readiness

Counted from drills you have completed anywhere on D8LooP.

Apply on paypal.wd1.myworkdayjobs.com

leaves in 8 dremoved the moment PayPal closes it