Pinterest-posted 9 months ago
$149,600 - $308,000/Yr
Mid Level
Palo Alto, CA

Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet. Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences. Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more. The Big Data & Analytics team at Pinterest is responsible for end to end big data infrastructure, data warehousing & AB testing framework & business intelligence solutions that powers the rest of the business. The team owns both the critical data infrastructures from log ingestion, batch & stream processing, big data query & workflow systems & AB testing experimentation framework, and also the data processing & ETL pipelines for data warehousing and business intelligence.

  • Build the infrastructure platforms or the data processing pipelines that powers Pinterest’s critical business needs.
  • Build or use the cutting edge big data technologies such as Hadoop/Spark/Flink/Kafka/Airflow/Presto.
  • 5+ years of industry experience in big data infrastructure or data warehouse engineering/business intelligence.
  • Passionate about working with data at hundreds of petabytes scale.
  • Solid experience in one of the languages in Java/Scala/Python.
  • Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience.
  • Publications at conferences a plus.
  • Bonus points for experience with big data infrastructure (e.g. Hadoop/Spark/Flink/Kafka/Airflow/Presto), using big data technologies for data processing, ETL, reporting, and/or experience building A/B testing or Machine learning Infrastructure frameworks.
  • Equity eligibility.
  • Base salary range of $149,600—$308,000 USD.
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