Data Engineer for Growth and Analytics
3 weeks ago
We are seeking a skilled Data Engineer to join our team at Coatue Management L.L.C. as a key member of the Growth Data Engineering team. This role will be responsible for designing, developing, and maintaining data pipelines, models, and products that power Stripe's Growth, Sales, and Marketing teams.
About Us
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead.
Responsibilities
The successful candidate will 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. Some of the key responsibilities include:
- Designing and developing data pipelines, models, and products that power Stripe's Growth, Sales, and Marketing teams.
- Helping 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.
- Developing strong subject matter expertise and managing the SLAs for both data pipelines and full stack web applications that support the Growth & Go-to-Market organizations at Stripe.
- Building and refining 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.
- Building and refining Stripe's data foundations - infrastructure, pipelines, and tools to enable Growth, Sales, and Marketing teams at Stripe - working with Scala, Spark, and Airflow.
About You
To succeed in this role, you should have 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 is also essential. Prior experience with writing and debugging data pipelines using a distributed data framework (Spark / Hadoop / Pig etc) is required. Knowledge of a scientific computing language (such as Scala or Python) and SQL is also necessary. Experience with full stack development languages such as Java or Go, and front-end frameworks such as React is highly desirable.
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