Jobs in Canada

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Added 1 month ago
TR
Staff Platform Engineer - Materia AI
Thomson Reuters
Toronto, ON
- Full-time
As a Platform Engineer, you will contribute to leading the design, development, and evolution of our next-generation cloud-native platforms. You will contribute to technical strategy,…
Added 1 month ago
S
Staff Software Engineer, Risk Data Engineering
Stripe
Toronto, ON
- Full-time
…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…
Added 1 month ago
SF
Data Platform Engineer II
Spring Financial
Vancouver, BC
- Full-time
As a Data Platform Engineer II at Spring, you are a hands-on builder who delivers reliable, scalable data infrastructure. You'll work across our core stack of AWS, Snowflake, dbt, and…
Added 1 month ago
CS
AI Datacenter Infra engineer
Cerebras Systems
Remote, Canada
- Full-time
- Remote
Cerebras is looking for an AI Data Center Infrastructure Engineer to turn cluster architecture into precise, deployment-ready infrastructure designs.
Added 1 month ago
Senior Business Systems Engineer - Integrations & AI
Lyft
Toronto, ON
Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role
Added 1 month ago
B
Senior Cloud Engineer - Terraform, Azure
BDO
Toronto, ON
- Full-time
Must have experience:
Added 1 month ago
Sr. Staff Engineer - Frontend
Munich Re
Toronto, ON
Added 1 month ago
IC
Mining Engineer in Training II- EN
IAMGOLD Corporation
Gogama, ON
- Full-time
We’re actively searching for a Mining Engineer in Training II based in Gogama with a start date to be determined, reporting to the Senior Mine Engineer. In this role, you’ll support mine…
Added 1 month ago
IC
Mining Technologist- EN
IAMGOLD Corporation
Gogama, ON
- Full-time
…start date to be determined, reporting to the Senior Mining Engineer. This role supports Technical Services by collecting, analyzing, and coordinating operational data on a 7/7 or 14/14…
Added 1 month ago
Senior Software Engineer, Internal Tools
Tubi - Canada
Toronto, ON
Added 1 month ago
RE
Data Operations Engineer AI - Co-op Student (Winter 2027)
Rodan Energy Solutions Inc.
Mississauga, ON
- Internship
Work Arrangement: 5 days per week in-office
Added 1 month ago
GM
Controls Engineer
General Motors
Markham, ON
- Full-time
…tools and applications to support automation systems, data analytics, and production performance monitoring. Ensure standardization, scalability, and reuse of automation components across…
Added 1 month ago
FB
Senior Data Engineer
fgf brands
Toronto, ON · Greater Toronto Area, ON
- Other
We are seeking a Senior Data Engineer with deep expertise in designing and delivering scalable, real-time streaming as well as batch data pipelines and solutions using modern data platforms…
Added 1 month ago
CF
Senior AI Engineer
CI Financial
Toronto, ON
- Full-time
This role follows our in‑office work model and requires employees to be onsite four days per week to support collaboration and business needs
Added 1 month ago
Machine Learning Engineer
AGCO
Winnipeg, MB
Solutions for Every Season. We engineer and deliver precision agriculture hardware, software, and cloud-based platforms that connect every corner of the farm. At PTx, we are redefining the…
Added 1 month ago
EE
Senior Software Engineer
Enerva Energy Solutions
Calgary, AB
- $85,000 to $95,000 CAD / year
- Full-time
Set the direction for AI/ML in our products: decide where LLM-based tooling, automation, and analytics add real value, build the first versions, and take the best ones to production.
Added 1 month ago
P
Automation Engineer - API/Data/SQL
PLATO
Ottawa, ON · Calgary, AB · Sault Ste. Marie, ON · Vancouver, BC · Prince Albert, SK · Regina, SK · Gatineau, QC · BC · Winnipeg, MB · Fredericton, NB · Toronto, ON · Halifax, NS
- $90,000 to $110,000 CAD / year
- Full-time
Added 1 month ago
E
Senior Backend Engineer, Client Portal
EvenUp
Toronto, ON
- $152,660 to $214,475 CAD / year
- Full-time
Our Cases Product Engineering team is in search of a Backend Software Engineer who will lead the charge in architecting cutting-edge software integrations and revolutionize the user…
Added 1 month ago
WT
AI Automation & Software Engineer
WBM Technologies
Winnipeg, MB · Regina, SK · Saskatoon, SK · Edmonton, AB · Calgary, AB
- Full-time
The AI Automation & Software Engineer designs, builds, and supports AI, automation, and software solutions for both customer environments and WBM's internal operations. You'll work across…
Added 1 month ago
WT
DATA MANAGEMENT ARCHITECT
WBM Technologies
Winnipeg, MB · Regina, SK · Saskatoon, SK · Edmonton, AB · Calgary, AB
- Full-time
…organizations unlock the full value of their data through governance, analytics, and modern cloud…
Added 1 month ago
B
Service Transition & Operational Resiliency Leader
BMO
Toronto, ON · SCC
- Full-time
…pillar of the Service Transition team, complementing the Lead Engineer who focuses on the technical and automation pillar. Together, the Service Transition Lead and the Engineering Lead…
Added 1 month ago
E
Senior Software Engineer, Backend, AI Labs
Epiq
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Added 1 month ago
A
AI Architect, Manager
Avanade
Toronto, ON
- Full-time
Applying data and analytics to business use cases
Added 1 month ago
NR
Senior Data Platform Engineer
Norton Rose Fulbright
Toronto, ON
- Full-time
Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
Added 1 month ago
NR
Senior Data Platform Engineer
Norton Rose Fulbright
Calgary, AB
- Full-time
Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)

Stripe

Staff Software Engineer, Risk Data Engineering

Toronto, ON, Canada

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

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Job details

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

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 drive data initiatives using modern technologies.

Requirements

Requires 10+ years of experience in data systems, pipelines, and team leadership. Candidates must have strong proficiency in distributed data frameworks, backend programming languages like Scala, Java, or Go, and SQL.

Skills

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

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Work requirements

Jobs in Canada