Find work in Canada.

529,297 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 1 month ago
UM
Senior C++ Programmer - Machine Learning
Ubisoft Montréal
Montreal, QC
- Full-time
Added 1 month ago
U
Senior C++ Programmer - Machine Learning
Ubisoft
Montreal, QC
- Full-time
Added 1 month ago
TC
Platform Engineer - AI/ML Infrastructure
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Advanced Helm chart development and management
Added 1 month ago
OG
Compiler Engineer
Oho Group
Toronto, ON
- $200,000 to $300,000 CAD / year
- Full-time
We’re working with a well-funded start-up building a new compiler and software stack for high-performance accelerated computing.
Added 1 month ago
Research Scientist, Wayve Labs
Wayve
Vancouver, BC
Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex…
Added 1 month ago
P
Senior Machine Learning Systems Engineer (CAD)
PointClickCare
Mississauga, ON
- Full-time
…significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top…
Added 1 month ago
P
Senior Machine Learning Systems Engineer (CAD)
PointClickCare
Mississauga, ON
- $154,000 to $193,000 CAD / year
- Full-time
…significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top…
Added 1 month ago
A
Responsable Architecte IA (Intelligence Artificielle)
Avanade
Montreal, QC
- Full-time
Added 1 month ago
PC
Credit Risk Manager
Pwc Canada
Toronto, ON
- Full-time
Leading the execution of credit risk projects, such as model development, validation, internal audit and implementation of credit risk methodologies including but not limited to obligor and…
Added 1 month ago
E
Junior L1 Software Developer
Ericsson
Ottawa, ON
- Full-time
…shaping the evolution toward 6G. Within this context, our L1 Software Development team in RCE RAN Performance designs and implements the Physical Layer baseband functions – the…
Added 1 month ago
W
Principal Software Development Engineer - AI Platform
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As a Principal Software Development Engineer for Machine Learning, you will be a team leader, working closely with other engineers and ML researchers to build and deploy robust, scalable AI…
Added 1 month ago
PC
Credit Risk Manager
PwC Canada
Toronto, ON
- Full-time
Leading the execution of credit risk projects, such as model development, validation, internal audit and implementation of credit risk methodologies including but not limited to obligor and…
Added 1 month ago
AI DevOps Specialist (AI Enablement & Secure DevOps)
Celestica International LP
Toronto, ON
This specialist will bridge the gap between AI development pipelines, secure networking infrastructure, and cloud platform services. They will take a hands-on lead in configuring…
Added 1 month ago
M
Senior Security Engineer - Identity and Access Management
Marqeta
Remote, Canada
- Full-time
- Remote
Driving integration of IAM across AWS services, SaaS platforms, and developer/DevOps pipelines.
Added 1 month ago
PT
Machine Learning Engineer
PTx Trimble
Winnipeg, MB
- Full-time
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
EG
Full Stack Engineer - Azure & Microsoft
Emterra Group
Oakville, ON
- Full-time
5+ years of experience in full stack software development
Added 1 month ago
S
Staff Software Engineer, Risk Data Engineering
Stripe
Canada
- Full-time
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…
Added 1 month ago
GC
Product Operations, AI & Insights Manager
GS1 Canada
Toronto, ON · North York, ON
- $80,000 to $100,000 CAD / year
- Full-time
…build Product Management muscle around AI-assisted product development and…
Added 1 month ago
SF
Data Platform Engineer II
Spring Financial Inc.
Vancouver, BC
- Full-time
Help build AI capabilities into data pipelines (e.g., anomaly detection, automated tagging) and use AI in your own development practices (e.g., assisted testing, documentation).
Added 1 month ago
RE
Data Operations Engineer AI - Co-op Student (Winter 2027)
Rodan Energy Solutions Inc.
Mississauga, ON
- Internship
Work closely with Data Services, Business Development, Software, IT, and operational teams.
Added 1 month ago
TR
Staff Platform Engineer - Materia AI
Thomson Reuters
Toronto, ON
- Full-time
…maturity of a global enterprise. You'll work with top AI and software development experts, building intelligent and scalable systems for accounting professionals. This role is for the…
Added 1 month ago
S
Staff Software Engineer, Risk Data Engineering
Stripe
Toronto, ON
- Full-time
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…
Added 1 month ago
SF
Data Platform Engineer II
Spring Financial
Vancouver, BC
- Full-time
Help build AI capabilities into data pipelines (e.g., anomaly detection, automated tagging) and use AI in your own development practices (e.g., assisted testing, documentation).
Added 1 month ago
S
Data Architect - Montreal
Slalom
Montreal, QC
- Full-time
Support business development activities, including solution design, client conversations, and technical pre-sales efforts.
Added 1 month ago
Sr. Staff Engineer - Frontend
Munich Re
Toronto, ON
Lead the architecture, design, and development of modern full-stack applications, with a primary focus on frontend engineering using TypeScript, React, and cloud-native technologies.

Spring Financial Inc.

Data Platform Engineer II

Vancouver, BC, V7X 1M8, Canada

Competitive annual salary ranging from $90,000 to $120,000, reflective of experience and impact. · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: Competitive annual salary ranging from $90,000 to $120,000, reflective of experience and impact.
Job type: Full-time
Posting language: English
Posted: Sep 21, 2026

Original job description

About us:
Spring Financial is a Canadian financial technology company focused on making every day financial services simpler, faster, and more accessible.

We build technology that helps Canadians build credit, save money, and access lending products without unnecessary friction. Our platforms allow customers to apply and manage their finances online, by text, or over the phone, making the experience convenient and flexible.

Since launching in 2014, Spring has grown into one of Canada’s largest fintechs, with over 250,000+ product originations across credit-building products, personal lending, and mortgage solutions. We’re a fast-growing, product-driven team that values practical solutions, strong execution, and thoughtful collaboration. We give people ownership, trust them to make decisions, and focus on building systems that scale reliably.

If you’re interested in working on real-world fintech platforms used by hundreds of thousands of Canadians, Spring offers the opportunity to make a tangible impact through well-built technology.

NOTE: This is a full-time, permanent, hybrid position in downtown Vancouver. 3 set days in the office and 2 WFH.

About the role:

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 Airflow to build pipelines and platform components that are secure, observable, and aligned with business needs. You'll own meaningful pieces of our data platform end to end: scoping the work, making the call on implementation, and shipping it. You'll make practical use of AI in your day-to-day engineering (e.g., for testing, schema discovery, and code generation) and contribute to AI-enabled features in the platform itself (e.g., automated QA, anomaly detection). Working with partners across Finance, Risk, Product, Analytics, and Engineering, you'll help clarify requirements, set and meet SLAs, and make sure the data you deliver is trustworthy.

What you’ll do:

Platform & Pipeline Engineering

Build and maintain scalable, secure, and reliable data pipelines and platform components across AWS and Snowflake
Help scope and deliver initiatives that modernize legacy data flows, bring together batch and streaming sources, and enable self-serve analytics across the organization.
Apply and help improve our engineering standards around testing, observability, security, and CI/CD within data systems.

AI Integration

Help build AI capabilities into data pipelines (e.g., anomaly detection, automated tagging) and use AI in your own development practices (e.g., assisted testing, documentation).
Stay curious about how agentic and AI-driven workflows are changing data platform requirements, and bring what you learn back to the team.

Cross-Functional Partnership

Work with engineers and business partners to clarify requirements, surface risks early, and propose practical solutions.
Partner with Analytics, ML, Finance, and other business teams to deliver data with the latency, accuracy, and governance their use cases need.
Communicate clearly about your work and its constraints, and be comfortable explaining technical trade-offs to non-technical partners.

Craft & Growth

Contribute to technical design discussions and code reviews, and to the ongoing evolution of our data architecture.
Take ownership of the problems you pick up, holding a high bar for quality, documentation, and engineering craft, and seeing work through to production.
Sharpen your technical judgment through code review and design discussion with peers across data, software, and analytics engineering, and share what you know in return.

What we're looking for:

Requirements

Solid experience building data pipelines using Snowflake and AWS-native tools (e.g., Glue, Lambda, Redshift, Step Functions)
Working experience with real-time data systems such as Kafka, Kinesis, Flink, or Spark Streaming
Good working knowledge of data modeling, schema evolution, and secure, privacy-conscious data design
Fluency in Python and SQL; some exposure to infrastructure-as-code (e.g., Terraform or CDK)
Practical use of AI tools in your development workflow, and interest in building AI into the platform itself
Track record of delivering projects end to end, with an eye on the business value behind them
Strong communication and collaboration skills; a reliable partner to both engineering and business teams
Self-directed in ambiguity: comfortable asking good questions, acting on feedback, and taking on broader scope over time

Nice to have

Experience with dbt or analytics engineering patterns.
Familiarity with ML platform tooling or feature store design.
Background in fintech, credit risk, or other regulated data environments.

What We Will Give You:

Competitive annual salary ranging from $90,000 to $120,000, reflective of experience and impact.
Comprehensive benefits package, including extended health, dental, and vision coverage - with 100% of monthly premiums covered by the Spring.
GRSP matching program to support your long-term financial goals.
A modern, collaborative workspace in the heart of downtown Vancouver.
Ongoing career growth opportunities

Please note: Upon applying, our Talent Acquisition team will review your resume. If you qualify, we will reach out to learn more about your experience and answer any questions you may have about the role, benefits, compensation, and more. Due to high application volume, we may not be able to respond to everyone.

Thank you for your interest! We appreciate your time and look forward to reviewing your application!

Apply About employer

More about this job

Responsibilities

You will build and maintain scalable, secure data pipelines and platform components using AWS and Snowflake. Additionally, you will integrate AI capabilities into data workflows and collaborate with cross-functional teams to ensure data reliability and governance.

Requirements

Candidates must have solid experience with Snowflake and AWS-native tools, along with proficiency in Python and SQL. A strong background in real-time data systems and a track record of delivering end-to-end data projects are required.

Skills

AWS
Snowflake
Python
SQL
Data pipelines
Airflow
dbt
Kafka
Kinesis
Flink
Spark streaming
Data modeling
Terraform
CI/CD
Observability
Infrastructure-as-code

Benefits

Extended health coverage
Dental coverage
Vision coverage
GRSP matching program

Visa sponsorship

Not detected in the job text

Keywords

Data Platform Engineer
AWS
Snowflake
Python
SQL
Airflow
dbt
Kafka
Kinesis
Flink
Spark Streaming
Data Modeling
Terraform
CDK
CI/CD
Observability
Fintech
Data Pipelines
Infrastructure-as-code
AI Integration
Anomaly Detection
Schema Evolution
Data Governance
Self-serve Analytics
Cloud Computing
Software Engineering
Data Architecture
Batch Processing
Streaming Data
Security

Report this job