Senior Staff Data Engineer

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:

We are looking for a Senior Staff Data Engineer who is passionate about code craftsmanship, continuous improvement, and mentoring junior engineers. You bring deep expertise in cloud data technologies, a strong architectural mindset, and a drive to build scalable, resilient data systems.

We are building a brand-new data platform and expanding existing features to support large-scale data through modern cloud-based solutions. You'll play a critical role in designing and scaling data infrastructure using technologies like BigQuery, AWS, Snowflake, and Airflow. The platform has high visibility within PayPal and offers tremendous opportunities for growth. We are looking for you to bring a healthy mix of top-notch work ethics and fresh perspectives to our uniquely vibrant group.

Job Description:

What will you do here?

• 12+ years of software engineering experience, including 5+ years in Data engineering
• Design and develop data products and platforms for PayPal
• Collaborate with the product team to define business requirements and architect large-scale data solutions
• Lead development of cloud-native ETL and data pipelines across batch and streaming use cases
• Contribute to experimentation, automation, and performance tuning of our analytics infrastructure
• Provide technical mentorship and elevate data engineering practices across the team
• Ensure adherence to data governance policies and best practices to maintain data quality, privacy, and compliance

What we absolutely need?

• Strong experience with cloud data platforms such as BigQuery, AWS Redshift, or Snowflake
• Hands-on experience building and  scalable ETL and data pipelines that process large volumes of data
• Strong proficiency in SQL, including query optimization, data modeling, and schema design for performance and scalability
• Solid understanding of distributed systems and scalable architecture patterns
• Strong grasp of computer science fundamentals including algorithms and data structures
• Experience mentoring junior engineers and fostering a collaborative engineering culture
• A “You build it, you own it!” mindset

How can you knock our socks off?

• Hands-on experience building data platforms that support ML/AI use cases
• Proven success solving business problems using analytics and reporting systems
• Experience designing and operating production-grade pipelines using tools like Spark, Hive, or modern equivalents
• Demonstrated ownership of platform features — from ideation to deployment, scaling, and optimization