Staff Data Engineer

PayPal is seeking a Staff Data Engineer to join their engineering team in a role that combines technical leadership with hands-on development of data infrastructure solutions. This position sits at the intersection of data engineering and software development, requiring expertise in both domains.

The role involves leading a team of engineers while actively contributing to the development of PayPal's digital wallet ecosystem. You'll be working with modern data warehousing technologies and cloud platforms, building high-scale, high-throughput systems that power PayPal's global payment infrastructure. The position requires both technical excellence and leadership skills, as you'll be guiding architectural decisions while maintaining hands-on involvement in implementation.

As a Staff Data Engineer, you'll be responsible for optimizing software performance, implementing critical non-functional requirements, and ensuring the reliability and scalability of data systems. The role requires collaboration with various teams across PayPal, from product and design to analytics and legal, making strong communication skills essential.

PayPal offers a competitive compensation package ranging from $152,500 to $262,350, along with comprehensive benefits including health coverage, retirement plans, and equity options. The company follows a balanced hybrid work model with 3 days in office and 2 days flexible.

This is an excellent opportunity for an experienced data engineer looking to make an impact at a global scale while working with cutting-edge technologies. You'll be part of PayPal's mission to democratize financial services and enable global commerce, working on systems that process transactions for hundreds of millions of users worldwide.

The ideal candidate will bring 8+ years of software development experience, strong expertise in TypeScript and Java, and deep knowledge of modern data warehousing technologies. You should be comfortable leading technical discussions, mentoring team members, and driving best practices in software development.