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 current business opportunities. 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.

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. 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. 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.



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 Experience creating and maintaining data marts to power business reporting needs This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office).

In-office expectations Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. Working remotely at Stripe A remote location is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office.

Stripe does not cover the cost of relocating to a remote location. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans;

📌 Backend Engineer, Data (Toronto)
🏢 Stripe
📍 Toronto