Software Engineer, Stripe

• 3+ years of experience in a Software Engineering role, with a focus on building and maintaining data services, or data intensive applications
• 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 backend development language (such as Scala, Java, or Go) and strong SQL experience
• The ability to communicate cross-functionally, derive requirements and architect shared datasets

Desirable

• Stripe is the best software platform for running an internet business
• We handle billions of dollars every year for hundreds of thousands of businesses around the world. One third of Americans bought something on Stripe in the last year
• With all this data, the Growth Data Engineering team is looking for talented data-minded engineers to help us manage business critical data leveraged across the entire organization
• You’ll be working with a variety of internal teams across Growth, Sales, Marketing, and Data Science to help them solve their data needs
• Your work will provide teams with visibility into how Stripe’s Growth organization is performing and how we can deliver a better experience to Stripe's customers
• Identify data needs for Growth, Sales, and Marketing teams, understand their specific operational and reporting requirements, and build efficient and scalable data products & pipelines to enable data-driven decisions across Stripe
• 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
• Our stack spans tools in Spark, Scala, Python, SQL, Presto, Airflow, AWS, Java, Go, and React