Software Engineer, Growth Data Engineering

Stripe - Chicago, IL

Full-time - Mid Level

Chicago, IL

Credit Intermediation and Related Activities

About the position

The Software Engineer, Growth Data Engineering role at Stripe focuses on managing and optimizing business-critical data across various internal teams, including Growth, Sales, and Marketing. The position involves designing and building data pipelines and products that enable data-driven decision-making, ensuring data quality, and providing insights into Stripe's performance. The role is pivotal in enhancing user experiences and supporting the company's mission to increase the GDP of the internet.

Responsibilities

• Identify data needs for Growth, Sales, and Marketing teams, understand their specific operational and reporting requirements, and build efficient and scalable data products & pipelines.
• Design, develop, and own data pipelines, models, and products that power Stripe's Growth, Sales, and Marketing teams.
• Help the Data Science team apply and generalize statistical and econometric models on large datasets to empower more intelligent decision making among our Growth & Go-to-Market teams.
• Develop strong subject matter expertise and manage the SLAs for both data pipelines and full stack web applications that support the Growth & Go-to-Market organizations at Stripe.
• Build Stripe's Customer Engagement Data Service - collecting, curating, mastering, enriching, and presenting a single view of user interactions with Stripe for consumption by data applications across the company.
• Build and refine Stripe's data foundations - infrastructure, pipelines, and tools to enable Growth, Sales, and Marketing teams at Stripe - working with Scala, Spark, and Airflow.
• Design and build client libraries and frameworks to log events and accurately track the behavior of users interacting with our logged-out user interfaces such as Stripe.com.
• Refine our existing data marts that help the Sales and Marketing organization at Stripe forecast the future potential performance of the business, and reliably measure their ongoing attainment toward targets.
• Build data pipelines that track key GTM product metrics, and measure the impact of different GTM strategies employed by teams in the field.
• Integrate different parts of our experimentation infrastructure at Stripe, to enable full-funnel measurement and personalization of experiences spanning from Stripe.com into product.

Requirements

• 3+ years of experience in a Data Engineering or Software Engineering role, with a focus on building data pipelines, or applications powered by big data.
• A strong engineering background and are interested in data.
• Prior experience with writing and debugging data pipelines using a distributed data framework (Spark / Hadoop / Pig etc).
• An inquisitive nature in diving into data inconsistencies to pinpoint issues, and resolve deep rooted data quality issues.
• Knowledge of a scientific computing language (such as Scala or Python) and SQL.
• Experience with full stack development languages such as Java or Go, and front-end frameworks such as React.
• The ability to communicate cross-functionally, derive requirements and architect shared datasets.