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 Data Foundations team drives Data Engineering and Data Apps and Tooling work across Stripe, enabling Stripes to leverage data

to make informed decisions and build user-centric products. We provide tools and infrastructure to move, store, process, and

analyze data, both at rest and in motion. We are looking for talented data-minded software engineers 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.

Team Matching: exact team matching for one of the subteams will begin during final stages. Please note we may also consider you

for different orgs based on your experience, location, etc. More information on our team matching process can be found here.

WHAT YOU'LL DO

Every record in our data warehouse is vitally important for the businesses that use Stripe, so we're looking for people with a

strong background in software engineering and data to help us scale while maintaining correct and complete data. You'll work with

a variety of internal teams across Product, Data Science, and GTM to help them solve their data needs. Your work will provide

visibility into how these stakeholders and the Data Foundations organization are performing and how we can deliver a better

experience to Stripe's customers.

RESPONSIBILITIES

Design, develop, and own data pipelines, models, and products that power the Product, Data Science, and GTM functions
Develop strong subject matter expertise and manage the service level agreements for both data pipelines and full stack web

applications that support these critical stakeholders

Build and refine Stripe's data foundations - infrastructure, pipelines, and tools to enable various teams at Stripe - working

with Scala, Spark, and Airflow

Leverage LLMs and Agents at scale to produce high-quality data on ambiguous problems
Refine our existing data marts that help the GTM organization forecast the future potential performance of the business and

reliably measure ongoing attainment toward targets

Build data services that track key product metrics and measure the impact of different strategies employed by teams in the

field

Our tech stack is Spark, Scala, Java, SQL, and Python - and while we don't expect everyone on the team to be an expert in all

of these, you will work across all of these technologies throughout your tenure on the team.

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 requirement.

MINIMUM REQUIREMENTS

Must have 6+ years of experience in a Software Engineering role, with a focus on building and maintaining data services or

data-intensive applications

A strong engineering background and an interest 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 backend development language (such as Scala, Java, or Go) and strong SQL experience
The ability to communicate cross-functionally, derive requirements, and architect shared datasets

PREFERRED QUALIFICATIONS

Experience creating and maintaining data marts to power business reporting needs • Experience working with Product or GTM

(Sales and Marketing) teams

Roll

Backend Engineer, Data

Kategori

Data/IT

Plats

Canada

Publicerad

26 juni

Sista ansökningsdag

16 augusti

Källa

Arbetsgivarens hemsida

Taggar för det här jobbet

Java Python SQL Go Spark Hadoop

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