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Added 18 days ago
SF
Data Platform Engineer II
Spring Financial Inc.
Vancouver, BC
- Full-time
Fluency in Python and SQL; some exposure to infrastructure-as-code (e.g., Terraform or CDK)
Added 18 days ago
D
Vice-President or Associate, Equity Derivatives & Analytics
Desjardins
Montreal, QC
- Full-time
Strong proficiency in Python and SQL programming
Added 18 days ago
MG
Senior Data Product Engineer
Match Group
Vancouver, BC
- Full-time
Expertise in SQL, data modeling, lakehouse architecture, and Python
Added 18 days ago
RE
Data Operations Engineer AI - Co-op Student (Winter 2027)
Rodan Energy Solutions Inc.
Mississauga, ON
- Internship
Basic scripting or programming experience such as Python, SQL, JavaScript, or equivalent.
Added 18 days ago
VN
Sr. Analyst, Business Intelligence
Viral Nation
Toronto, ON
- Full-time
Proficiency in data analysis tools such as Python, R, SQL, or similar scripting languages.
Added 18 days ago
VN
Analytics Lead
Viral Nation
Toronto, ON
- Full-time
Deep technical proficiency in analytics and BI technologies, including Python and SQL for analysis and data modeling, Google Cloud Platform, BigQuery, and Snowflake for data infrastructure,…
Added 18 days ago
SF
Data Platform Engineer II
Spring Financial
Vancouver, BC
- Full-time
Fluency in Python and SQL; some exposure to infrastructure-as-code (e.g., Terraform or CDK)
Added 18 days ago
P
Software Developer Intern
Pason
Calgary, AB
- Full-time
Experience with one OO language like Python & C#.
Added 18 days ago
S
Data Architect - Montreal
Slalom
Montreal, QC
- Full-time
Development and engineering practices using technologies such as Python, Java, SQL, APIs, CI/CD, Infrastructure as Code, and containers.
Added 18 days ago
PS
Retail & ERP Systems Analyst
Pacific Smoke International Inc
Markham, ON
- $85,000 to $95,000 CAD / year
Hands-on experience with Programming Language (JavaScript, or Python, or SuiteScript)
Added 18 days ago
B
Senior Cloud Engineer - Terraform, Azure
BDO
Toronto, ON
- Full-time
BDO is a firm built on a foundation of positive relationships with our people and our clients. Each day, our professionals provide exceptional service, helping clients with advice and…
Added 18 days ago
NB
Corporate Finance Internships
National Bank of Canada
Montreal, QC
- Full-time
Programming knowledge, e.g. Python, SQL or VBA.
Added 18 days ago
CI
Student Intern, Operations Techology & AI Solutions
Celestica International LP
Toronto, ON
- $23 to $30 CAD / hour
CS & Math concepts: Understanding of standard algorithms, basic relational database queries (SQL), and comfort with spatial / matrix math concepts
Added 18 days ago
P
Data Science Intern
Pason
Calgary, AB
- Full-time
Learn and use the following technologies: Matlab, Python (ML and dashboarding libraries), Java, GIT, AWS, SQL databases, HTML/CSS/JavaScript, and web frameworks.
Added 18 days ago
P
Software Developer Intern (Rigsite)
Pason
Calgary, AB
- Full-time
Knowledge in software languages such as Java, C#, Typescript, Python, SQL, and web development
Added 18 days ago
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Software Developer Intern (Enterprise Applications)
Pason
Calgary, AB
- Full-time
Pason is seeking a Software Developer Intern for the Enterprise Applications team (EA) for a 16-month internship from May 2027 until August 2028. During your internship at Pason, you will…
Added 18 days ago
P
Software Developer Intern (Datahub)
Pason
Calgary, AB
- Full-time
Experience with one OO language like Java, C#, or Python
Added 18 days ago
RE
Data Operations Engineer AI - Co-op Student (Winter 2027)
Rodan Energy Solutions Inc.
Mississauga, ON
- Internship
Basic scripting or programming experience such as Python, SQL, JavaScript, or equivalent.
Added 18 days ago
AE
Analyst, Revenue Optimization
Avenir Energy
Toronto, ON
- Full-time
…practical recommendations. You’ll have the opportunity to work with tools such as Excel, SQL, Python, AI-enabled technologies, and potentially GIS to build better ways of understanding and…
Added 18 days ago
C
Data and Analytics Specialist
Chartwell
Mississauga, ON
- Full-time
…solutions using Snowflake, Azure Data Factory, Azure Data Lake, SQL, Python, and Power…
Added 18 days ago
FB
Senior Data Engineer
fgf brands
Toronto, ON · Greater Toronto Area, ON
- Other
Expert in Python and SQL for ETL/ELT logic, data transformation, and orchestration.
Added 18 days ago
FF
Principal Data Scientist
Forward Financing
Remote, Canada
- Full-time
- Remote
Forward Financing is a financial technology company based in Boston, Massachusetts with team members throughout the United States, Dominican Republic, and Canada. The company is on a…
Added 18 days ago
Senior Quantitative Analyst
Equitable
Waterloo, ON
Strong technological skills: Primary programming languages C#; proficiency in Python, SQL also required
Added 18 days ago
PC
SAP Data Management Senior Manager
Pwc Canada
Toronto, ON
- Full-time
Knowledge of ETL processes, data profiling and transformation, SQL, Python, and related data-management technologies.
Added 18 days ago
Actuarial Specialist
Gore Mutual Insurance
Toronto, ON · Cambridge, ON · Vancouver, BC
Develop solutions using actuarial software, SQL, Python, R, Earnix, or other analytical tools.

Spring Financial

Data Platform Engineer II

Vancouver, BC, Canada

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

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Job details

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

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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