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 key work of your career.About The Team The Data Foundations team drives Data Engineering and Data Apps & Tooling work across Stripe, enabling the organization 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.What you’ll do Every record in our data warehouse is vitally key 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 be working 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.ResponsibilitiesDesign, develop, and own data pipelines, models, and products that power the Product, Data Science,



and GTM functionsDevelop strong subject‑matter expertise and manage the SLAs for both data pipelines and full‑stack web applications that support these critical stakeholdersBuild and refine Stripe's data foundations—infrastructure, pipelines, and tools—to enable various teams at Stripe, working with Scala, Spark, and AirflowLeverage LLM and Agents at scale to produce high‑quality data on ambiguous problemsRefine existing data marts that help the GTM organization forecast future performance and reliably measure ongoing attainment toward targetsBuild data services that track key product metrics and measure the impact of different strategies employed by teams in the fieldOur tech stack is Spark, Scala, Java, SQL, and Python—while we don’t expect everyone to be an expert in all of these, you will work across these technologies throughout your tenure on the teamMinimum RequirementsMust have 6+ years of experience in a Software Engineering role, with a focus on building and maintaining data services or data‑intensive applicationsA strong engineering background and an interest in dataPrior 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 problemsKnowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experienceThe ability to communicate cross‑functionally, derive requirements, and architect shared datasetsPreferred RequirementsExperience creating and maintaining Data Marts to power business reporting needsExperience working with Product or GTM (Sales/Marketing) teamsHybrid work at Stripe This role is available either in an office or a remote location, defined as 35+ miles (56+ km) from a Stripe office.In‑office expectations Office‑assigned Stripe employees spend at least 50% of the time in a given month in their local office or with users, balancing collaboration and flexibility.Working remotely at Stripe A remote location is defined as being 35 miles (56 kilometers) or more from one of our offices. While you may come into the office for team/company meetings, on‑sites, meet‑ups, and events, the expectation is that you regularly work from home rather than a Stripe office. Stripe does not cover relocation costs. We encourage you to apply for roles that match the location where you currently live or plan to live.Pay and benefits The annual salary range for this role in the primary location is CA$135,200 – CA$202,800. The range may vary for other locations. Benefits include equity, company bonus or sales commissions/bonuses, retirement plans, health benefits, and wellness stipends. Additional details about compensation may be discussed during the interview process.#J-18808-Ljbffr

📌 Backend Engineer, Data - C$135,200 - C$202,800 A Year (Toronto)
🏢 Stripe
📍 Toronto