Data Engineer - Optimized Checkout Suite - Remote

Overview

As a Data Engineer in Stripe's Optimized Checkout Suite, you will help build and maintain data products to support conversion and revenue optimization efforts, ensuring data integrity and scalability.

In Short

• Identify data needs for conversion and revenue optimization.
• Design, develop, and own scalable data products and pipelines.
• Support data science teams with statistical models on large datasets.
• Understand business questions and create efficient data pipelines.
• Build and refine data infrastructure and tools.
• Design client libraries for event logging and tracking.
• Track key operations and product support metrics.
• Integrate with experimentation infrastructure for full-funnel measurement.
• Influence and maintain best practices for data standards.
• Work with a tech stack including Spark, Scala, Python, SQL, and more.

Requirements

• 2+ years in Data Engineering or Software Engineering, focusing on data pipelines.
• Strong engineering background and interest in data.
• Experience with distributed data frameworks like Spark.
• Inquisitive nature for resolving data quality issues.
• Proficiency in Scala or Python and SQL.
• Experience with full-stack languages like Ruby, Java, or Go.
• Ability to communicate cross-functionally and architect datasets.
• Passion for supporting users and customers.
• Strong attention to detail and quality in product delivery.

Benefits

• Opportunity to work on impactful projects with a leading company.
• Collaborative team environment with cross-functional collaboration.
• Focus on personal and professional growth.
• Access to cutting-edge technologies and methodologies.
• Flexible work arrangements and remote options available.