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Added 1 hour ago
Oracle EDQ Platform Engineer
Aptino, Inc.
Brampton, ON
$50 to $55 CAD / hour
Contract
We are looking for an experienced Oracle EDQ Platform Engineer to support the migration of Oracle Enterprise Data Quality (EDQ) from on-premises environments to Microsoft Azure Cloud.
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
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 4 hours ago
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 4 hours ago
Senior Data Engineer
Ardent SoftSol Inc.
Montreal, QC
Contract
We are seeking an experienced Senior Data Engineer with strong expertise in Snowflake, Databricks, Python, and SQL to design, develop, and support modern cloud-based data platforms. The…
Added 7 hours ago
Sr. Data Engineer
Arkhya Tech. Inc.
Canada
Full-time
Hands on experience with a modern cloud data platform such as Snowflake or comparable platform.
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 3 days ago
Senior Data Quality Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
We are looking for a Senior Data Quality Engineer to build and operate the testing and validation capabilities that ensure data delivered through our enterprise data platform is accurate,…
Added 3 days ago
Senior Data Platform Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$140,000 to $170,000 CAD / year
Full-time
Senior Data Platform Engineer: Senior Data Platform Engineer – Zonda – Toronto, ON
Added 2 days ago
Senior Data Engineer
Boardwalk
Calgary, AB
Contract
The Senior Data Engineer provides architectural direction, technical leadership, and execution oversight for our core database modernization initiative. This role is responsible for shaping…
Added 10 days ago
Senior Software Developer - SQL/Python
RBC
Toronto, ON
Full-time
We are seeking an experienced Senior Software Engineer to work within Wealth Management Global IT Data Services Canada - As a Senior Software Engineer, specializing in AI-driven agent…
Added 7 days ago
Lead Full Stack Developer
RBC
Toronto, ON
Full-time
This engineer will need to be very proficient in managing large sets of data, including excellent proficiency with ANSI-SQL querying structured and unstructured data sources (Snowflake,…
Added 5 days ago
Senior Manager, Engineering & Build
RBC
Toronto, ON
Full-time
Design and build batch and incremental pipelines across Bronze/Silver/Gold layers using Snowflake (Streams, Tasks, Snowpark, Snowpipes), Spark, and dbt.
Added 7 days ago
Data Platform Engineering Manager
TD
Toronto, ON
Full-time
The Data Platform Engineering Manager role is responsible for designing, building, and operating the enterprise technology reference data platform that serves as the foundation for…
Added 3 days ago
Senior AI Engineer
Charger Logistics Inc
Brampton, ON
Proficiency with SQL and at least one analytical data platform (BigQuery, Snowflake, or similar).
Added 3 days ago
Senior Data Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
The Senior Data Engineer is responsible for designing, building, and operating reliable, scalable data pipelines and data products across a modern cloud data platform.
Added 3 days ago
Senior Data Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
The Senior Data Engineer is responsible for designing, building, and operating reliable, scalable data pipelines and data products across a modern cloud data platform.
Added 3 days ago
Senior Data Quality Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
We are looking for a Senior Data Quality Engineer to build and operate the testing and validation capabilities that ensure data delivered through our enterprise data platform is accurate,…
Added 3 days ago
Senior Data Platform Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$140,000 to $170,000 CAD / year
Full-time
Senior Data Platform Engineer: Senior Data Platform Engineer – Zonda – Toronto, ON
Added 3 days ago
Senior AI Engineer
Raise
Calgary, AB
Full-time
The Senior AI Engineer in this role will design, test, and optimize AI-driven quality monitoring solutions for the Contact Centre. The resource will develop custom prompts and evaluation…
Added 3 days ago
Java Software Engineer
Randstad Enterprise
Montreal, QC
Full-time
We are seeking a Java Engineer in the Firm Market Risk Technology team, you will design, build, and optimize high-performance Java systems powering the Firm Market Risk Platform. In this…
Added 3 days ago
Data Engineer
Jim Peplinski Capital
Calgary, AB
Full-time
You will own JPC’s data platform end-to-end: the pipelines that move data, the warehouse where it lives, the shares that deliver it to customers, the governance that keeps it trustworthy,…
Added 3 days ago
Senior AI Engineer
Charger Logistics Inc.
Brampton, ON
Full-time
Proficiency with SQL and at least one analytical data platform (BigQuery, Snowflake, or similar).
Added 3 days ago
Software Engineer - Driving Empire
Voldex Games
Remote, Canada
Full-time · Remote
…destination for millions of players on Roblox. 🏎️💨 As a Software Engineer on the team, you’ll have a hand in shaping where the game goes…
Added 3 days ago
Group Product Manager, AI & Data
Rightsline Inc
Toronto, ON
$190,000 to $205,000 CAD / year
Full-time
Rightsline is building the AI-native platform for IP commerce. We are moving from a modern system of record into an agentic product model. AI Assistants are in the market today, our first…

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

Applications open in a new tab.

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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