Stripe8122 Data Foundations

Backend Engineer, Data

CanadaFull-timeSeniorSalary: Not disclosed
Posted Sep 4, 2026Deadline: Keep Open
Job SnapshotActively hiring
LocationCanada
Job typeFull-time
SalaryNot disclosed
DeadlineKeep Open

Finjobsly Role Intelligence

Experience level
Senior
Work style
Not specified
Visa sponsorship
Not specified
Salary
Not disclosed
Key skills
PythonJavaGoSQLRESTPaymentsData EngineeringData Science

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Company insights

23

Happiness score

23/100

Based on 31 verified employee signals

Stripe reports 41% first-half revenue growth

Stripe told investors that first-half 2026 revenue rose 41% year over year and free cash flow increased 43%, according to an investor letter obtained by Axios.

mid-2026From the webAxios

Stripe appoints Eileen O'Mara vice chair and Tyler Bryson CRO

Stripe named former chief revenue officer Eileen O'Mara vice chair and promoted Tyler Bryson, who joined in 2025 after more than two decades at Microsoft, to chief revenue officer.

mid-2026From the webStripe Newsroom

Stripe unveils 288 products and features at Sessions 2026

Stripe's launches included Link wallets for AI agents, an expanded Agentic Commerce Suite, stablecoin-backed cards in 30 countries, and broader access to its Managed Payments product.

spring 2026From the webStripe Blog

Employee tender offer values Stripe at $159 billion

Stripe signed a tender offer backed mainly by Thrive Capital, Coatue, Andreessen Horowitz and other investors, providing employee liquidity at a $159 billion valuation.

early 2026From the webStripe Newsroom

AI Generated Insights

Finjobsly Intelligence— Generated from the employer's job description

What you'll own

Design, develop, and own data pipelines, models, and services that power Product, Data Science, and GTM functions, using Spark, Scala, Java, SQL, and Python.

What they're looking for

6+ years of software engineering experience focused on data services, strong SQL skills, and proficiency with distributed data frameworks like Spark, plus the ability to communicate cross‑functionally.

Why this role matters

Accurate, reliable data underpins Stripe’s business decisions and customer experiences, making this role critical for delivering visibility and impact across the organization.

Best suited to

Seasoned engineers who love data, enjoy building scalable pipelines, and thrive on solving data quality challenges while collaborating with product and GTM teams.

Fintech requirements

Role verticals

Payments
Company vertical
Payments

Platforms & tools

Stripe
Visa sponsorship: No

About this role

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

 

More about this role

About company

Required skills

PythonJavaGoSQLRESTPaymentsData EngineeringData Science