Data Platform Engineer II

Bentall Centre, Vancouver

On-site

Full-time

$90K – $120K CAD

1 weeks ago

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Employment type: Full-time · On-site
Posted: September 23, 2026
Salary range: $90,000–$120,000 CAD per year
Province: British Columbia (BC)

Hiring confidence: Some gaps · 56/100

Some signals are missing from this posting. It may well be genuine, but it is worth confirming the role is still open before you invest time in applying. How this is scored

Job Overview

Jobs

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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 larges…

This role is based in British Columbia. Spring Financial Inc. is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.

Market context

About this role in British Columbia

Average salary for Data Platform Engineer II in British Columbia

We do not have a salary benchmark for this title in British Columbia yet. The posting advertises $90,000–$120,000.

NOC code

This posting has not been matched to a NOC 2021 unit group yet. Use the NOC finder to identify the code from the duties listed above.

Typical qualifications for Canadian employers

Mid-level experience in data engineering or data platform development
Strong SQL and database knowledge
Experience with cloud platforms (AWS, GCP, or Azure)
Understanding of data pipeline architectures
Experience with data warehousing solutions

Fit check

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What you'll do

Design and build scalable data platforms and pipelines
Develop and maintain data infrastructure
Optimize database performance and data retrieval processes
Collaborate with data scientists and analytics teams
Ensure data quality and reliability
Implement monitoring and alerting for data systems
Document data architecture and processes

What you'll need

Mid-level experience in data engineering or data platform development
Strong SQL and database knowledge
Experience with cloud platforms (AWS, GCP, or Azure)
Understanding of data pipeline architectures
Experience with data warehousing solutions
Knowledge of ETL/ELT processes
Ability to optimize data systems for performance and scalability