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Software Developer - Canada - Stripe
Description
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.
Stripe is the best software platform for running an internet business.With all this data, the Growth Data Engineering team is looking for talented data-minded 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.
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 data engineering and analytics to help us scale while maintaining correct and complete data.
You'll be working with a variety of internal teams across Growth, Sales, Marketing, and Data Science to help them solve their data needs.
Identify data needs for Growth, Sales, and Marketing teams, understand their specific operational and reporting requirements, and build efficient and scalable data products & pipelines to enable data-driven decisions across StripeDesign, develop, and own data pipelines, models, and products that power Stripe's Growth, Sales, and Marketing teams
Help the Data Science team apply and generalize statistical and econometric models on large datasets to empower more intelligent decision making among our Growth & Go-to-Market teams
Develop strong subject matter expertise and manage the SLAs for both data pipelines and full stack web applications that support the Growth & Go-to-Market organizations at Stripe
Build Stripe's Customer Engagement Data Service - collecting, curating, mastering, enriching, and presenting a single view of user interactions with Stripe for consumption by data applications across the company
Build and refine Stripe's data foundations - infrastructure, pipelines, and tools to enable Growth, Sales, and Marketing teams at Stripe - working with Scala, Spark, and Airflow
Refine our existing data marts that help the Sales and Marketing organization at Stripe forecast the future potential performance of the business, and reliably measure their ongoing attainment toward targets
Build data pipelines that track key GTM product metrics, and measure the impact of different GTM strategies employed by teams in the field
Our stack spans tools in Spark, Scala, Python, SQL, Presto, Airflow, AWS, Java, Go, and React
If you meet these requirements, you are encouraged to apply.
3+ years of experience in a Data Engineering or Software Engineering role, with a focus on building data pipelines, or applications powered by big data.
~ A strong engineering background and are interested 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 scientific computing language (such as Scala or Python) and SQL
~ Experience with full stack development languages such as Java or Go, and front-end frameworks such as React
~ This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office).
Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users.
A remote location, in most cases, 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. The annual salary range for this role in the primary location is C$172,000 - C$258,000.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.
retirement plans;
