Backend Engineer, Data

Stripe; Canada; On-site; CAD 135,000 - 258,000; Full time

Job summary

A leading financial infrastructure company is looking for a data-minded software engineer to join their Data Platform team in Canada. This full-time role involves designing and developing data pipelines, collaborating across various teams, and solving complex data challenges. Ideal candidates will have over 3 years of experience, proficiency in SQL, and expertise with Scala and Spark. Competitive salary range between CA$135,200 and CA$258,000 based on experience.

Benefits

Equity

Company bonus

Health benefits

Qualifications

• 3+ years of experience in a Software Engineering role focused on data services.
• Experience with distributed data frameworks (Spark/Hadoop).
• Strong SQL experience.

Responsibilities

• Design and develop data pipelines for Growth, Sales, and Marketing.
• Refine data foundations and infrastructure.
• Build client libraries for logging user behavior.

Skills

Data engineering

Software development

SQL

Communication

Tools

Scala

Spark

Python

SQL

Job description

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 GTM Data Services team is responsible for all things data and productivity tooling in support of the Sales, Marketing, and Self-Serve Growth business at Stripe. We are the front line to understand how Stripe’s business is performing, and equip our field teams with tooling to help them take action in support of our users. We are looking for talented data-minded software 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.

Team Matching: exact team matching for one of the subteams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here.

What you’ll do

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 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 Growth, Sales, Marketing, and Data Science to help them solve their data needs. Your work will provide teams with visibility into how Stripe’s Growth and GTM organizations are performing and how we can deliver a better experience to Stripe's customers.

Responsibilities

• Design, develop, and own data pipelines, models, and products that power Stripe’s Growth, Sales, and Marketing 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 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
• Design and build client libraries and frameworks to log events and accurately track the behavior of users interacting with our logged-out user interfaces such as Stripe.com
• 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 services that track key GTM product metrics, and measure the impact of different GTM strategies employed by teams in the field
• Our tech stack is Spark, Scala, Java, SQL, and Python - and while we don’t expect everyone on the team to be an expert in all of these, you will work across all of these technologies throughout your tenure on the team

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

• 3+ years of experience in a Software Engineering role, with a focus on building and maintaining data services, or data intensive applications.
• 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 backend development language (such as Scala, Java, or Go) and strong SQL experience
• The ability to communicate cross-functionally, derive requirements and architect shared datasets

Preferred requirements

• Experience creating and maintaining Data Marts to power business reporting needs
• Experience working with Growth or GTM (Sales/Marketing) teams

Remote and Office

This role is available either in an office or a remote location (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 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 live or plan to live.

Salary and Benefits

The annual salary range for this role in the primary location is CA$135,200 - CA$258,000. This range may change if you are hired in another location. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends.

Location and Team

Office locations: Toronto

Remote locations: Remote in Canada

Team: Data Platform

Job type: Full time

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