Data Engineer, Growth Data Engineering
3 days ago
Stripe is a leading financial infrastructure platform for businesses, providing a range of services to help companies accept payments, grow their revenue, and accelerate new business opportunities.
About the TeamThe Growth Data Engineering team at Stripe is responsible for managing business-critical data across the organization. We're looking for talented data-minded engineers to help us design and build efficient and scalable data pipelines, models, and products that power Stripe's Growth, Sales, and Marketing teams.
Responsibilities- Data Pipeline Development: 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.
- Data Modeling and Product Development: Design, develop, and own data pipelines, models, and products that power Stripe's Growth, Sales, and Marketing teams.
- Statistical and Econometric Modeling: 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.
- Subject Matter Expertise and SLA Management: 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.
- Customer Engagement Data Service: 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.
- Data Foundations: 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.
- Client Libraries and Frameworks: Design and build client libraries and frameworks to log events and accurately track the behavior of users interacting with our logged-out user interfaces.
- Data Marts and GTM Metrics: 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.
- Experimentation Infrastructure: Integrate different parts of our experimentation infrastructure at Stripe, to enable full-funnel measurement and personalization of experiences spanning from product to customer.
- 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 interest 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.
This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office).
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