PayPal Sr Staff Software Engineer 

United States, California, San Jose 

93409039

Essential Responsibilities:

• Makes technical decisions affecting multiple teams, crossing organizational boundaries
• Establishes conventions & processes to be followed by other employees
• Actions determine the utilization of company resources (people, money, assets) and affect the effectiveness of the company
• Handles multiple, multi-team initiatives simultaneously, using judgement to prioritize among more issues than can be handled individually.
• Understands evolving industry capabilities & practices and can judiciously apply up--to-date information for optimal results
• Competent at communicating technical issues with non-technical audiences
• Spreads their behavior, principles, and knowledge as a means of improving technical results of other employees (via many means – modeling behavior, 1:1s, working sessions, quality documentation)
• Partners with product management, to ideate solutions to business problems & goals

Expected Qualifications:

• Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience.

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

Education Qualification:

• BS/MS/PhD in Computer Science, Math, or a related field

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The US national annual pay range for this role is $169,500 to $291,500

Our Benefits:

Any general requests for consideration of your skills, please