Amazon Development Centre Canada ULC - K03

Data Engineer, Early Career - 2026 (CAN)

Toronto, Ontario

On-site

Full-time

No salary posted1 weeks ago

Apply Now

Employment type: Full-time · On-site
Posted: September 25, 2026
Province: Ontario (ON)

Hiring confidence: Sparse posting · 22/100

This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored

Job Overview

Jobs

This is only part of this posting — the job board it came from publishes a short summary. Read the full posting.

NOTE: By applying to this position, your application will be considered for Toronto, ON to start in November or December 2026. Shape what comes next | Discover careers in Tech At Amazon, our tech isn't just a tool, it's your playground. Our engineers work on scalable systems, cloud services, and customer-facing products that operate at global scale. This is an environment where you learn by building. Whether you're creating cloud-native solutions, optimizing machine learning models, or building…

This role is based in Ontario. Amazon Development Centre Canada ULC - K03 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 Ontario

Average salary for Data Engineer, Early Career - 2026 (CAN) in Ontario

We do not have a salary benchmark for this title in Ontario yet. The posting does not state a salary either.

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

Located in or willing to relocate to Toronto, ON
Available to start November or December 2026
Background in computer science, engineering, mathematics, or related field (inferred)
Ability to work in a fast-paced tech environment

Fit check

Is this role right for you?

Similar jobs

What you'll do

Work on scalable systems and cloud services
Build data solutions that operate at global scale
Develop cloud-native solutions
Optimize machine learning models
Contribute to customer-facing products
Learn through hands-on building and development

What you'll need

Located in or willing to relocate to Toronto, ON
Available to start November or December 2026
Background in computer science, engineering, mathematics, or related field (inferred)
Ability to work in a fast-paced tech environment