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Stripe

Staff Software Engineer, Risk Data Engineering

Canada

Pay: The annual US base salary range for this role is $224,000 - $336,000.
Job type: Full-time
Posting language: English
Posted: Sep 21, 2026

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Original 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

Product and Risk Data Engineering is Stripe's single source of truth data engineering layer for Payments, Risk, and Product - we enable Stripe to confidently run, measure, and grow the business by making accurate information easy to access. We curate and maintain high-quality data warehouses and pipelines that serve as the authoritative foundation for product and financial activity across Stripe, powering analytics, ML capabilities, agentic workflows, and merchant-facing data interfaces. Beyond building data, we act as the internal experts in data technologies and partner with Data Platform to deliver high-quality, low-friction data processing frameworks. We also serve as the bridge between data producers and data consumers - championing best-in-class data engineering practices and guiding product teams on event-driven data API modeling - so that every team at Stripe can build, decide, and grow from a trusted, well-engineered data foundation.

What you’ll do

We're looking for a person who could contribute to the team by solving high-impact, cutting-edge data problems. The ideal candidate will be someone that has built data pipelines for large scale volume, is deeply knowledgeable of key tools including Airflow/Spark/Kafka/Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities.

Responsibilities

Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success
Partner with our recruiting team to attract and hire top talent
Deliver cutting-edge data pipelines that scale to users' needs, focusing on reliability and efficiency
Develop strong subject matter expertise and manage the SLAs of data pipelines and full stack web applications that support critical stakeholders
Collaborate with product managers and peers across the company to create/improve canonical datasets and data warehouses, use golden paths, and ensure Stripes and customers are using trustworthy data
Leverage AI/LLM and Agents at scale to produce and analyze high-quality data on ambiguous problems
Have the opportunity to drive the execution of key data initiatives for Stripe, overseeing the entire development lifecycle from planning to delivery while maintaining high standards of quality and timely completion
Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within 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

This is a Staff-level role - that typically means 10+ years of experience building and operating data systems, pipelines, warehouses, infrastructure, and leading teams to deliver exceptional solutions
A strong engineering background and passion for data as well as prior experience with writing and debugging data pipelines using a distributed data framework
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
Extreme customer focus, with a commitment to partnering with product, leaders across the business, and other Stripe engineers to understand their use cases
Effective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offs
Thrive with high autonomy and responsibility in an ambiguous environment
Ability to foster and work in a healthy, inclusive, challenging, and supportive work environment

Preferred Qualifications

Our stack is made up of Iceberg, Kafka, Change Data Capture, Flink, Spark, Airflow, Hive Metastore, Pinot, Trino, and AWS Cloud - experience with all or some of these tools is a huge plus
Influencing open-source contributions
Experience creating and maintaining data marts / warehouses to power business reporting needs
Experience collaborating with Product, Go-To-Market, or Sales / Marketing teams
Genuine enjoyment of innovation and a deep interest in understanding how things work, with the ability to question and direct architectural decisions
Strong written and verbal communication skills for various audiences, including leadership, users, and company-wide

Hybrid work at Stripe

This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office).

In-office expectations

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.

Working remotely at Stripe

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.

Pay and benefits

The annual US base salary range for this role is $224,000 - $336,000. 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. 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.

We look forward to hearing from you.

At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out - and set you apart - especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us.

Apply now

Please find our California applicant personal information notice here.

The application window will remain open for 100 days after the Job Post is published. However, this opportunity will remain open based on the needs of the business, which may cause the application window to close before or after the 100-day mark.

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More about this job

Responsibilities

Lead a team of engineers to deliver scalable, reliable data pipelines and manage critical data infrastructure. Partner with cross-functional teams to improve canonical datasets and leverage AI/LLM technologies to solve complex data problems.

Requirements

Requires 10+ years of experience in data systems and engineering leadership with proficiency in distributed frameworks and backend languages like Scala, Java, or Go. Candidates must demonstrate strong SQL skills, an inquisitive nature for data quality, and the ability to collaborate effectively in an ambiguous environment.

Skills

Data engineering
Airflow
Spark
Kafka
Flink
Scala
Java
Go
SQL
Data pipelines
Data warehousing
Distributed systems
Leadership
Mentorship
Cloud infrastructure
AI/LLM

Benefits

Equity
Company bonus
401(k) plan
Medical benefits
Dental benefits
Vision benefits
Wellness stipends

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Software Engineering
Airflow
Spark
Kafka
Flink
Iceberg
Pinot
Trino
AWS
Scala
Java
Go
SQL
Data Warehousing
Distributed Systems
Change Data Capture
Hive Metastore
AI
LLM
Data Pipelines
Financial Infrastructure
Mentorship
Cross-functional Collaboration
Data Quality
SLA Management
Full Stack Development
Event-driven Architecture
API Modeling
Cloud Computing

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