Software Engineer, Stripe

Growth Data Engineering

$163.1-244.7k

Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process

SQL

React

AWS

Python

Scala

Java

Airflow

Hadoop

Spark

Mid and Senior level

Chicago

San Francisco Bay Area

Toronto

Remote from US

A financial infrastructure platform for businesses

Job no longer available

A financial infrastructure platform for businesses

1001+ employees

FintechB2BPaymentsCredit cardsFinancial Services

Job no longer available

$163.1-244.7k

Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process

SQL

React

AWS

Python

Scala

Java

Airflow

Hadoop

Spark

Mid and Senior level

Chicago

San Francisco Bay Area

Toronto

Remote from US

1001+ employees

FintechB2BPaymentsCredit cardsFinancial Services

Company mission

To increase the GDP of the internet

Job

Company

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

The Growth Data Engineering team is looking for talented data-minded engineers to help us manage business critical data leveraged across the entire organization
We’re looking for people with a strong background in data engineering and analytics to help us scale while maintaining correct and complete data
You’ll be working with a variety of internal teams across Growth, Sales, Marketing, and Data Science to help them solve their data needs
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, 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

Top investors

-5% employee growth in 12 months

Glassdoor (3.7)

Trustpilot (1.8)

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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