1 day ago
Toronto, CanadaSenior
Responsibilities
- Design, develop, and own data pipelines, models, and products supporting Product, Data Science, and GTM functions.
- Manage service-level agreements for data pipelines and full-stack web applications used by internal stakeholders.
- Build and refine data infrastructure, pipelines, tools, data marts, and data services.
- Use Scala, Spark, Airflow, Java, SQL, and Python across the team’s data engineering work.
- Use LLMs and agents at scale to produce high-quality data for ambiguous problems.
- Support GTM forecasting, attainment measurement, product metrics, and strategy-impact analysis.
- Investigate data inconsistencies and resolve deep-rooted data quality issues.
- Collaborate cross-functionally to derive requirements and architect shared datasets.
Requirements
- At least 6 years of experience in a software engineering role focused on building and maintaining data services or data-intensive applications.
- Strong software engineering background and interest in data.
- Experience writing and debugging data pipelines using a distributed data framework such as Spark, Hadoop, or Pig.
- Experience with a backend development language such as Scala, Java, or Go.
- Strong SQL experience.
- Ability to communicate cross-functionally, derive requirements, and architect shared datasets.
- Preferred: experience creating and maintaining data marts for business reporting.
- Preferred: experience working with Product or GTM teams.
Tech Stack
Categories
BackendData Engineering
About Stripe
Stripe builds financial infrastructure for internet businesses, offering APIs and tools for online and in‑person payments, subscriptions, marketplaces/payouts, fraud prevention, identity, tax, issuing, and treasury. It monetizes through per‑transaction fees and SaaS pricing for advanced products. Founded in 2010 and headquartered in South San Francisco, Stripe is privately held and serves companies from startups to large enterprises worldwide.