Data Engineer, Growth Infrastructure Platform
7 days ago
About Stripe
Stripe is a leading financial infrastructure platform for businesses. Millions of companies use our services to accept payments, grow their revenue, and accelerate new business opportunities.
Our Mission
We aim to increase the global GDP by making it more accessible to everyone. To achieve this, we need talented data engineers who can help us manage our business-critical data.
The Role
As a Data Engineer on our Growth team, you will be responsible for designing and building efficient data pipelines that power our growth organization. You will work closely with our sales, marketing, and data science teams to solve complex data challenges and drive business outcomes.
Your Responsibilities
- Identify data needs for our growth, sales, and marketing teams and design scalable data solutions to meet those needs.
- Develop strong subject matter expertise in data engineering and analytics to support our business decisions.
- Work with our data science team to apply statistical and econometric models on large datasets to empower more intelligent decision-making.
- Design and build client libraries and frameworks to log events and accurately track user behavior.
- Integrate different parts of our experimentation infrastructure to enable full-funnel measurement and personalization of experiences.
About You
We're looking for someone with a strong engineering background and a passion for data. You should have experience with writing and debugging data pipelines using distributed data frameworks like Spark or Hadoop. Knowledge of scientific computing languages like Scala or Python, as well as SQL and full-stack development languages like Java or Go, is also essential.
Benefits
This role offers an annual US base salary range of $136,800 - $244,700, equity, company bonus, 401(k) plan, medical, dental, and vision benefits, and wellness stipends. The role is available either in an office or a remote location, with a balance between in-person collaboration and flexibility about how to do this in a way that makes sense for individuals and their teams.
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