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Backend Engineer, Optimized Checkout & Link Data Engineering

Stripe

Stripe

Software Engineering, Data Science
Canada · Remote
Posted on Thursday, May 30, 2024

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. 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 important work of your career.

About the team

The Optimized Checkout & Link team at Stripe builds best-in-class checkout experiences across web and mobile that delight consumers and streamline checkout flows for merchants. Based across North America, we're a diverse team who are deeply passionate about redefining the payment experience creating outstanding value for merchants, increasing revenue, lowering cost and growing their business. We work on Checkout, Payment Links, Elements, Payment Methods, and Link – each playing a crucial part in augmenting the economic landscape of the internet. Our days are filled with exciting challenges and collaborative problem-solving as we strive to simplify payment options, create unique business solutions and enhance checkout ease. Join us in crafting the future of digital commerce.

What you’ll do

We’re looking for people with a strong background in data engineering and analytics to help us scale while maintaining correct and complete data.

Responsibilities

  • Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
  • Be an advocate for data quality and excellence of our platform.
  • Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
  • Gather requirements, understand the big picture, create detailed proposals in technical specification documents.
  • Productizing data ingestion from various sources, data delivery to various destinations, and creating well-orchestrated data pipelines.
  • Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
  • Conduct SQL data investigations, data quality analysis and optimizations.
  • Contribute in peer code reviews, and help the team produce high quality code.
  • Mentor team members by giving/receiving actionable feedback

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

  • Bachelor's degree in Computer Science or Engineering Master’s degree is preferred.
  • Have a strong engineering background and are interested in data
  • 5+ years of experience with writing and debugging data pipelines using a distributed data framework (Hadoop/Spark/Pig etc…)
  • Great data modeling skills, database design, relational/non-relational.
  • Very strong SQL proficiency, and preferably SQL query optimization experience.
  • Strong coding skills in Scala or Java preferably for building performance data pipelines.
  • Strong understanding and practical experience with systems such as Hadoop, Spark, Presto, Iceberg, and Airflow
  • Versed in software production engineering practices, version control, code peer reviews, automated testing, and CI/CD.
  • Excellent communication skills.
  • Experience in AWS cloud is preferred.

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. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.

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. We encourage you to apply for roles that match the location where you currently or plan to live.

The annual US base salary range for this role is $163,100 - $244,700. 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. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.

Office locations

Toronto, New York, South San Francisco HQ, or Seattle

Remote locations

Remote in United States, or Canada

Team

Payments

Job type

Full time