Sr Data Engineer

PayPal • San Jose, CA

1d • Hybrid

About The Position

The Company 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. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: This job will will lead the design and implementation of complex data systems and architectures. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data engineering, ensuring data quality, and mentoring junior engineers. Job Description: Essential Responsibilities: Lead the design and development of complex data pipelines for data collection and processing. Develop and maintain advanced data storage solutions. Ensure data quality and consistency through sophisticated validation and cleansing processes. Implement advanced data transformation techniques to prepare data for analysis. Collaborate with cross-functional teams to understand data requirements and provide innovative solutions. Optimize data engineering processes for performance, scalability, and reliability. Minimum Qualifications: 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience. Additional Responsibilities & Preferred Qualifications: Job Summary: PayPal is executing a strategic multi-year Marketing Transformation, building an integrated MarTech Platform that enables consistent, personalized digital experiences across PayPal brands. This role is at the heart of building this platform end-to-end - designing and developing the complete data infrastructure, pipelines, and systems that power our next-generation CDP-based Marketing Automation Platform. This is a hands-on technical role requiring demonstrated expertise in building enterprise-class data platforms and pipelines at scale. You will design, develop, and optimize data systems processing billions of records across both batch and real-time architectures. The role demands advanced complex SQL skills, strong data analysis capabilities, and the ability to solve low-latency business problems. In MarTech, Agentic AI is part of our first principles - you will be expected to ramp up quickly on Agentic AI capabilities and bring outside-the-box thinking to conceptualize innovative data solutions. You will work independently, determine your own approach to technical challenges, and collaborate with cross-functional teams. We need someone who can ramp up quickly and start contributing from day one.

Requirements

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
• 5+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience
• Demonstrated deep hands-on experience building enterprise-class data platforms and pipelines at scale
• Expert-level SQL skills - ability to write and optimize complex queries across large datasets (billions of records)
• Strong experience with both batch processing (Spark, Dataproc) and real-time/streaming systems (Kafka, Pub/Sub, Dataflow)
• Proven ability to build low-latency data systems that solve time-sensitive business problems
• Hands-on proficiency with Cloud data services. Preferably - BigQuery, Bigtable, Dataproc, Cloud Storage, Pub/Sub
• Strong Python programming skills for data pipeline development and automation
• Experience with workflow orchestration tools (Airflow, UC4, or similar)
• Solid understanding of data modeling, schema design, and data warehouse concepts
• Experience with CI/CD pipelines and DevOps practices for data systems
• Strong debugging and troubleshooting skills for distributed data systems
• Ability to work in a fast-paced environment and ramp up quickly on new technologies and domains

Nice To Haves

• Experience with Agentic AI - ability to conceptualize and design data solutions leveraging Agentic AI with outside-the-box thinking
• Experience in Marketing Technology (MarTech) or Advertising Technology (AdTech) domain
• Experience building Customer Data Platforms (CDP)
• Experience with Customer Segmentation and Activation across owned and paid channels
• Experience with real-time integration with third-party AdTech platforms
• Experience with Attribution and Analytics systems
• Familiarity with AI/ML pipelines or AI-enhanced data systems

Responsibilities

• Lead the design and development of complex data pipelines for data collection and processing.
• Develop and maintain advanced data storage solutions.
• Ensure data quality and consistency through sophisticated validation and cleansing processes.
• Implement advanced data transformation techniques to prepare data for analysis.
• Collaborate with cross-functional teams to understand data requirements and provide innovative solutions.
• Optimize data engineering processes for performance, scalability, and reliability.
• Design, develop, and maintain enterprise-class data pipelines capable of processing billions of records daily with high throughput and reliability
• Write advanced, complex SQL queries for data transformation, analysis, and optimization across petabyte-scale datasets
• Build and optimize both batch and real-time/streaming data systems that solve low-latency business problems
• Hands-on development of scalable data architectures in GCP using BigQuery, Bigtable, Dataproc, and Pub/Sub
• Perform deep data analysis to identify trends, anomalies, and insights that drive business decisions
• Ramp up on Agentic AI capabilities and apply outside-the-box thinking to conceptualize innovative data solutions
• Troubleshoot and resolve complex data pipeline issues, performing root cause analysis and implementing fixes
• Optimize query performance, data models, and pipeline efficiency to meet strict SLAs
• Actively engage in design and code reviews, maintaining high standards of code quality and engineering excellence
• Ramp up quickly on existing data systems, codebases, and business context to start delivering value immediately
• Take ownership of end-to-end data pipeline development from design through production deployment
• Build data solutions that handle PayPal-scale volumes - billions of transactions and events
• Explore and apply Agentic AI approaches to enhance data engineering workflows and solutions
• Implement data quality checks, monitoring, and alerting for production pipelines
• Collaborate with Product, Analytics, and Engineering teams to understand data requirements and deliver solutions
• Participate in on-call rotations and respond to production incidents with urgency
• Document technical designs, data flows, and operational runbooks
• Contribute to continuous improvement of data engineering practices and standards

Benefits

• At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset-you. That’s why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing—physical, emotional, and financial—delivering meaningful value where it matters most.
• We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level