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Added 25 mins 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 40 mins ago
Senior Security Engineer - Identity and Access Management
Marqeta
Remote, Canada
Full-time · Remote
We’re seeking an experienced Senior Security Engineer with a strong passion for Identity and Access Management (IAM) and proven expertise in cloud-native environments, particularly AWS. In…
Added 52 mins ago
Associate Software Engineer (Winter 2027)
AltaML
Toronto, ON
Full-time
As an Associate Software Engineer you’ll play a hands-on role in building and scaling our agentic platform - an intelligent, adaptive system designed to automate workflows and power smarter…
Added 1 hour ago
Staff Software Engineer, Risk Data Engineering
Stripe
Canada
Full-time
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,…
Added 1 hour ago
Data Platform Engineer II
Spring Financial Inc.
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 2 hours ago
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 2 hours ago
Staff Software Engineer, Risk Data Engineering
Stripe
Toronto, ON
Full-time
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,…
Added 2 hours ago
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 3 hours ago
Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Apptoza Inc.
Toronto, ON
Contract
We are seeking an experienced Observability Engineer to join our Enterprise Kubernetes Platform team at a leading financial services organization. You'll own the complete observability…
Added 4 hours ago
Principal Software Developer – AI/ML Performance Validation & Systems Testing
Advanced Micro Devices, Inc
Markham, ON
Full-time
We are seeking a Principal Software Engineer to serve as the senior technical leader for ROCm software validation across compute workloads and server-class systems. In this…
Added 5 hours ago
Senior AI Engineer
CI Financial
Toronto, ON
Full-time
Contribute to the design of a reusable, scalable AI platform (shared tooling, agent frameworks, and infrastructure) rather than one-off point solutions, so capabilities can be reused across…
Added 7 hours ago
Generative AI Cloud Operations Engineer - Evinova
Evinova
Mississauga, ON
Full-time
As a Generative AI Cloud Operations Engineer for clinical trial design, planning, and operational optimization on our team, you will lead the development and management of AI operations…
Added 7 hours ago
Senior Software Engineer
Enerva Energy Solutions
Calgary, AB
$85,000 to $95,000 CAD / year
Full-time
Lead the design and architecture of our web applications and data platform, making the trade-offs between speed, cost, and long-term maintainability.
Added 8 hours ago
Platform Engineer AI/ML Infrastructure
Zodiac Solutions, Inc
Toronto, ON
Full-time
Were seeking a skilled Platform Engineer to deploy and manage our AI/ML infrastructure, e.g LlamaIndex Cloud and KDB.AI applications on Kubernetes Platform.
Added 15 hours ago
Senior Software Engineer, Backend, AI Labs
Epiq
Toronto, ON · Greater Toronto Area, Canada
Full-time
Epiq AI Labs is the innovation and engineering hub behind Epiq's next-generation AI platform for corporate legal departments and global law firms. We operate as a startup within a global…
Added 17 hours ago
Machine Learning Engineer, VLA & RL - Senior
cyberwave digital agency
Zurich, ON
Full-time
Cyberwave is building the infrastructure layer for intelligent machines - making robotics as accessible, scalable, and programmable as cloud software. Our platform connects simulation,…
Added 17 hours ago
Principal Data Engineer - Canada
JobGet
Remote, Canada
$160,000 to $190,000 CAD / year
Full-time · Remote
As our Principal Data Engineer, you will help lead the technical direction for how data flows, scales, and powers every decision at JobGet. You’ll own the data architecture behind our…
Added 22 hours ago
Generative AI Cloud Operations Engineer - Evinova
AstraZeneca
Mississauga, ON · Canada - Mississauga
Full-time
As a Generative AI Cloud Operations Engineer for clinical trial design, planning, and operational optimization on our team, you will lead the development and management of AI operations…
Added 1 day ago
Founding DevOps/SRE Engineer
Requesty
London, ON
Full-time
We are building the LLM platform that will power tomorrow's AI-first companies.
Added 1 day ago
Cryptographic Systems Engineer (Post-Quantum)
SuperQubit Inc.
Markham, ON
Full-time
Job Title: Cryptographic Systems Engineer (Post-Quantum)
Added 12 days ago
AI Engineer
GEI Consultants, Inc.
Markham, ON
$110,000 to $150,000 CAD / year
Full-time
The AI Engineer plays a hands-on role in active AI Solutions Factory use cases by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability…
Added 19 days ago
Software Engineer - Identity & Authorization
Baseten
Montreal, QC
$240,000 to $285,000 USD / year
Full-time
…Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models…
Added 3 days ago
Senior Cloud DevOps Engineer
Charger Logistics Inc
Brampton, ON
Full-time
The Senior Cloud DevOps Engineer will design and implement enterprise-scale cloud infrastructure, drive automation strategies, and mentor engineering teams while architecting…
Added 3 days ago
Senior AI Engineer
Charger Logistics Inc
Brampton, ON
We are looking for a highly motivated AI Engineer to join our team based out of our Brampton office and contribute to the development of AI-driven solutions for various departments. This…
Added 3 days ago
Senior Software Engineer - Backend
Microsoft
Vancouver, BC
Full-time
This role owns core architectural and technical evolution of the platform, focusing on modernization, performance, scalability, experimentation infrastructure, and operational excellence.…

Spring Financial

Data Platform Engineer II

Vancouver, BC, Canada

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

Apply About employer

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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.

Requirements

What we're looking for:

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 collaborate with cross-functional teams to deliver trustworthy data and integrate AI capabilities into the platform.

Requirements

Candidates must have solid experience with Snowflake and AWS-native tools, along with fluency in Python and SQL. A track record of delivering end-to-end data projects and experience with real-time data systems like Kafka or Spark Streaming is required.

Skills

AWS
Snowflake
Python
SQL
Data pipelines
Terraform
CDK
Kafka
Kinesis
Flink
Spark streaming
Data modeling
CI/CD
Observability
AI integration
Data architecture

Benefits

Extended health coverage
Dental coverage
Vision coverage
GRSP matching program
Career growth opportunities

Visa sponsorship

Not detected in the job text

Keywords

Data Platform Engineer
AWS
Snowflake
dbt
Airflow
Python
SQL
Kafka
Kinesis
Flink
Spark Streaming
Terraform
CDK
Data Modeling
CI/CD
Observability
Fintech
Data Pipelines
Infrastructure-as-code
Anomaly Detection
Analytics Engineering
Cloud Computing
Data Governance
Streaming Data
Batch Processing
Software Engineering
System Scalability
Technical Design
Code Review
AI Integration

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