Software Engineer, Stripe
Growth Data Engineering
CA$172-258k
Salary listed for applicants in Toronto
A financial infrastructure platform for businesses
Job no longer available
A financial infrastructure platform for businesses
1001+ employees
Job no longer available
CA$172-258k
Salary listed for applicants in Toronto
1001+ employees
Company mission
To increase the GDP of the internet
Role
Who you are
- 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 are interested 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
What the job involves
- 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
- Design, develop, and own data pipelines, models, and products that power Stripe’s Growth, 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 Growth & Go-to-Market teams
- 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
- 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 Stripe.com
- 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 Stripe.com into product
- Our stack spans tools in Spark, Scala, Python, Spark, SQL, Presto, Airflow, AWS, Java, Go, and React
Our take
Stripe, nowadays a FinTech giant, spent the first few years since its founding building up its payments business, which primarily consisted of providing an API to eCommerce businesses so that they could easily integrate a payment option in their apps or websites, where before there was none.
More recently, Stripe has started to accelerate its growth with a significantly larger range of financial services including cash advances and credit cards. They also plan to build incorporation services, fraud protection, and more, diversifying its revenue away from payments and differentiating itself from its competitors.
To further expand its position, the company is extending its services to countries with vast customer potential, including Brazil, Japan and India. It is also partnering with OpenAI, the company behind ChatGPT - a win-win collaboration that is monetising OpenAI’s flagship products and at the same time enhancing Stripe with GPT-4, as it moves forward with intentions to "build the payments foundation for tomorrow's AI economy."
Freddie
Company Specialist at Welcome to the Jungle
Insights
-5% employee growth in 12 months
Company
Funding (last 2 of 14 rounds)
Mar 2023
$6.5bn
GROWTH EQUITY VC
Mar 2021
$600m
SERIES H
Total funding: $8.7bn
Company benefits
- Unlimited paid time off policy
- Work from home opportunities
- Comprehensive mental, physical and medical health plans
- Fertility benefits and parental leave
Company HQ
SoMa, San Francisco, CA
Leadership
Patrick Collison
(CEO)Studied maths at MIT before founding Stripe. Also on the board of the Long Now Foundation.
John Collison
(President)Studied at Harvard but dropped out to found Stripe.
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