Data Engineer, Go to Market
San Francisco, Seattle, New York, or Remote North America
Stripe
Stripe powers online and in-person payment processing and financial solutions for businesses of all sizes. Accept payments, send payouts, and automate financial processes with a suite of APIs and no-code tools.Who we are
About Stripe
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. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
The GTM Data Science Engineering team is managing business critical data leveraged across the entire organization.
What you’ll do
You’ll be working with a variety of internal teams across Sales and Marketing to help them solve their data needs. Your work will provide teams with visibility into how Stripe’s Go to Market organization is performing and how we can deliver a better experience to Stripe's customers
Responsibilities
- Identify data needs for 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 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 Go to Market teams
- Drive the collection of new data and the refinement of existing data sources, engage with 3rd party data vendors, develop relationships with other engineering teams to manage our data structures as the Stripe product and business needs evolve
- Develop strong subject matter expertise and manage the SLAs for both data pipelines and full stack web applications that support the Go to Market organization at Stripe
Who you are
If you are passionate about data, excited about designing data pipelines and data-driven user experiences, and motivated by having an outsized impact on the business, we want to hear from you.
Minimum requirements
- 5+ 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 (Hadoop / Spark / 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 R 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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Data pipelines Engineering Hadoop Pipelines Python R React Spark SQL
Perks/benefits: Career development
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