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Added 1 hour ago
Data Engineer (Early Career) (Canada)
Jobright.ai
Canada
Full-time
…the job search process. They are seeking an early-career Data Engineer to design and build data pipelines, ensuring data quality and collaborating with analytics and product…
Added 1 hour ago
Marketing Engineer & Director of AEO
Equiniti
Toronto, ON
Full-time
We are looking for a Marketing Engineer & Director of AEO to own how our brand is discovered, understood, cited, and recommended across search engines, answer engines, AI assistants, and…
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 1 hour 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 7 hours ago
Sr. Data Engineer
Arkhya Tech. Inc.
Canada
Full-time
Job Summary: We are seeking a skilled Sr. Data Engineer to join our dynamic team. The Sr. Data Engineer will be responsible for designing, developing, and maintaining our data pipelines,…
Added 7 hours ago
Data Engineer (Early Career) (Canada)
Jobright.ai
Canada
Full-time
…the job search process. They are seeking an early-career Data Engineer to design and build data pipelines, ensuring data quality and collaborating with analytics and product…
Added 17 hours ago
Principal Data Engineer - Canada
JobGet
Remote, Canada
$160,000 to $190,000 CAD / year
Full-time · Remote
Champion Modern Data Stack Adoption: Evaluate and introduce best-in-class tooling (Databricks, Snowflake, dbt, Kafka, etc.) aligned with engineering principles and business needs.
Added 1 day ago
Lead Data/Analytics Engineer
Dutch
Vancouver, BC
…modern data stack: Segment and Amplitude for behavioral data, Snowflake and dbt for warehousing and modeling, Prefect for orchestration, and Sigma for BI. You’ll partner with the BI team…
Added 3 days ago
Senior Data Quality Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
Our environment includes Snowflake, AWS Aurora/RDS, Amazon MWAA/Apache Airflow, dbt, AWS Glue, Amazon S3, DataHub, Grafana, and CloudWatch.
Added 3 days ago
Senior Data Platform Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$140,000 to $170,000 CAD / year
Full-time
Our environment includes Snowflake, AWS Aurora PostgreSQL, Amazon MWAA/Apache Airflow, dbt, AWS Glue, Amazon S3, Amazon EKS, DataHub, Grafana, CloudWatch, and GitHub.
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 3 days ago
Senior Data Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
Develop and optimize data transformations and orchestrations using SQL, Python, dbt, Airflow, Glue, PostgreSQL, and Snowflake.
Added 3 days ago
Senior Data Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
Develop and optimize data transformations and orchestrations using SQL, Python, dbt, Airflow, Glue, PostgreSQL, and Snowflake.
Added 3 days ago
Senior Data Quality Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
Our environment includes Snowflake, AWS Aurora/RDS, Amazon MWAA/Apache Airflow, dbt, AWS Glue, Amazon S3, DataHub, Grafana, and CloudWatch.
Added 3 days ago
Senior Data Platform Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$140,000 to $170,000 CAD / year
Full-time
Our environment includes Snowflake, AWS Aurora PostgreSQL, Amazon MWAA/Apache Airflow, dbt, AWS Glue, Amazon S3, Amazon EKS, DataHub, Grafana, CloudWatch, and GitHub.
Added 3 days ago
Data Engineer
Jim Peplinski Capital
Calgary, AB
Full-time
We are growing, and we are looking for a Data Engineer who likes to build things from scratch, solve hard problems, and get things done. We're a small, senior technology team on an…
Added 3 days ago
Ingénieur(e) de données principal(e) | Senior Data Engineer
ValPay
Montreal, QC · Saint-Laurent, QC
Full-time
Model and optimize our Snowflake warehouse - dimensional models, dbt transformations, and the semantic layer that analytics and product teams build on.
Added 3 days ago
Senior Data Engineer
Galent
Markham, ON
Contract
5 years of Snowflake dbtCoreCloud and AWS Cloud Technologies
Added 3 days ago
Senior Data Platform Engineer - Zonda - Toronto, ON
CoStar Group
Toronto, ON
$140,000 to $170,000 CAD / year
Full-time
Our environment includes Snowflake, AWS Aurora PostgreSQL, Amazon MWAA/Apache Airflow, dbt, AWS Glue, Amazon S3, Amazon EKS, DataHub, Grafana, CloudWatch, and GitHub.
Added 3 days ago
Senior Data Quality Engineer - Zonda - Toronto, ON
CoStar Group
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
Our environment includes Snowflake, AWS Aurora/RDS, Amazon MWAA/Apache Airflow, dbt, AWS Glue, Amazon S3, DataHub, Grafana, and CloudWatch.
Added 3 days ago
Senior Data Engineer - Zonda - Toronto, ON
CoStar Group
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
Develop and optimize data transformations and orchestrations using SQL, Python, dbt, Airflow, Glue, PostgreSQL, and Snowflake.
Added 3 days ago
Ingénieur(e) de données principal(e) | Senior Data Engineer
Valsoft Corporation
Montreal, QC · Saint-Laurent, Quebec
Full-time
Model and optimize our Snowflake warehouse - dimensional models, dbt transformations, and the semantic layer that analytics and product teams build on.
Added 3 days ago
Senior Data Engineer
Royal Bank of Canada
Toronto, ON
Full-time
We are seeking a Lead Data Engineer to build and maintain scalable data pipelines supporting analytics and reporting. The engineer will follow end-to-end process standards and guidelines to…
Added 4 days ago
Senior Data Engineer
RBC
Toronto, ON
Full-time
We are seeking a Lead Data Engineer to build and maintain scalable data pipelines supporting analytics and reporting. The engineer will follow end-to-end process standards and guidelines to…
Added 4 days ago
Senior Analytics Developer
CNN
Ottawa, ON · Kanata, ON
Full-time
You think about the long-term health of your work, your monitoring, your alerting, and your documentation. You nurture all of these in parallel to your engineer responsibilities.

Spring Financial Inc.

Data Platform Engineer II

Vancouver, BC, V7X 1M8, Canada

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

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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.

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

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