Staff Data Engineer, Growth

Job description

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


About The Team

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 a

talented data-minded engineer to help us manage business critical data

leveraged across the entire organization. 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.

What you’ll do

We’re looking for a hands-on person with a strong background and

demonstrated leadership in data technologies, ideally in the big data

processing space. As a Staff Engineer you’ll be empowered to make

decisions with a significant impact on Stripe, and help guide our

investments and strategy while making our data reliable, secure, and a

delight to use.

You will be a key contributor to the next-gen of our data foundation:

building a single source of truth for customer interactions with Stripe,

including near-real-time processing to unlock new growth capabilities,

as well as revamping our Growth & Revenue Data Marts with a goal to

drastically improve data quality at scale. You will make a step-function

difference in our ability to empower Growth, Data Science, Sales, and

Marketing teams.

Staff Engineers at Stripe are empowered to operate autonomously and are

counted on to help drive Stripe forward.

  • Work closely with various cross-functional teams to develop and deliver tools or data structures to measure, optimize and scale our product offerings
  • Design, develop, and own data marts, pipelines, models, and products that power Stripe’s Growth, Sales, and Marketing teams
  • Engage with internal data platform and tools teams to prototype and validate tools developed in-house to derive insight from very large datasets or automate complex algorithms
  • Arbitrate critical decisions correctly considering data best practices, system realities, and numerous stakeholder’s feedback
  • Scope, design and implement solutions that make the appropriate tradeoffs between resiliency, durability, and performance while maintaining a high level of data quality
  • Mentor and develop other technical leaders; creating opportunities for those around you
  • Contribute to engineering innovations that fuel Stripe’s vision and mission
  • 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
  • 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 into product

Who you are

We’re looking for someone who meets the minimum requirements to be

considered for the role. If you meet these requirements, you are

encouraged to apply. The preferred qualifications are a bonus, not a


Minimum Requirements
  • 10+ years of experience working on a large scale data warehouse, experimentation, personalisation or targeting platforms
  • Strong written and verbal communication skills with a talent for precise articulations of end-users problems
  • A mature understanding to strike the balance between ideal and pragmatic solutions on a case-by-case basis
  • Strong coding skills in Scala, Python, Java or another language for building highly performant services
  • Experience planning and driving large projects involving multiple stakeholders across an organization
  • Strong understanding and practical experience with systems such as Hadoop, Spark, Presto, Iceberg, and Airflow
  • Strong understanding in data platform fundamentals including: clustering, distributed systems, fault tolerance, networking, etc.
  • Experience with data modeling, ETL (Extraction, Transformation & Load) concepts, and patterns for efficient data governance
  • Experience in either the front-end or back-end development of data-powered applications
  • Our stack spans tools in Spark, Scala, Python, Spark, SQL, Presto, Airflow, AWS, Java, Go, and React

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