Backend Engineer, Data
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.
What this role actually needs.
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. 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 SLAs 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 LLM 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 Company context: Stripe builds financial infrastructure for internet businesses, with strong hiring across platform, product, data, and AI-adjacent teams.
Day-to-day expectations
Stripe lists these responsibilities for the Backend Engineer, Data role.
- 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 SLAs 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 LLM 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
Why this listing is more than a copied job post.
Backend Engineer, Data is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
Canada tech market
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Compensation read
The employer source does not expose a reliable salary range, so candidates should ask for compensation early instead of waiting until late-stage interviews.
Work authorization read
Current extracted signal: Canada residents. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.
Location read
Because this is remote, country scope and time-zone expectations matter as much as the title. Confirm the employer's allowed work locations on stripe.com.
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- Tailor your resume around llm and python instead of sending a generic application.
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Source: stripe.com · Source ID: 6865161 · Confidence: 94/100 · Last checked: May 7, 2026
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