Staff Software Engineer, Batch Processing Platform

Experteer Overview As Staff Software Engineer, you will design and optimize Pinterest’s batch processing platform at scale. You’ll work with cross-functional teams to translate data needs into robust infrastructure and lead initiatives that improve reliability and performance. You’ll mentor junior engineers and shape architecture for high-throughput data systems. This role combines cutting-edge big data tech with collaboration across groups to enable scalable, efficient data processing at hundreds of petabytes. You’ll work in a model that blends in-office collaboration with flexible, remote-friendly practices, guided by Pinterest’s AI-driven approach. Compensation / Benefits * Design, implement, and optimize Pinterest’s batch processing infrastructure * Collaborate with cross-functional teams to understand data needs * Lead technical projects and initiatives, driving them to completion * Mentor and guide junior engineers on best practices and architecture * Ensure the reliability, scalability, and efficiency of data systems Tasks * 6+ years of experience building and supporting large scalable big data infrastructure/platforms * Extensive experience with big data query technologies such as Spark SQL or Presto/Trino * Proficiency in programming languages like Java, Scala, or Python * Strong problem-solving abilities and a drive for innovation * Excellent communication skills and the ability to collaborate across teams * Bachelor’s degree in Computer Science or Engineering, or equivalent experience Key requirements * equity * base salary range * flexible work model * in-person collaboration 1-2 times per quarter

translate and efficiency of data systems Tasks * 6+ years of experience building and supporting large scalable big data infrastructure/platforms * Extensive experience with big data query technologies such as Spark SQL or Presto/Trino * Proficiency in programming languages like Java, Scala, or Python * Strong problem-solving abilities and a drive for innovation * Excellent communication skills and the ability to collaborate across teams * Bachelor’s degree in Computer Science or Engineering, or equivalent experience Key requirements * equity * base salary range * flexible work model * in-person collaboration 1-2 times per quarter