Data Engineer, Early Career - 2026 (CAN)

Amazon is hiring a Data Engineer, Early Career - 2026 (CAN) in Toronto, Canada. It pays CAD 97k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this data engineer role Little AI ●○○○: aI is not part of the work.
The posting mentions SQL, Nosql and data engineering among its tools and skills.
Level classes it as a junior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Design and automate distributed data pipelines, data warehouses, and reporting solutions supporting engineering and data science teams.

SQLNosql

data-engineeringdata-pipelinesetldatabase-managementreporting

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 products that drive experiences for millions of customers around the globe, your work reaches the world, fast. You'll take ownership early, collaborate across teams and disciplines, and grow your skills as you tackle new problems. There's no single path forward here, with a chance to explore different directions and shape your journey as you go. This is where ambition meets opportunity and, where the impact of what you build helps define what comes next, for customers and for you.

What's in it for you? A career at Amazon means real responsibility from day one. You'll build, test, and learn alongside people who want to see you succeed, while making an impact that reaches far beyond campus.

This is a full-time position, meaning candidates should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager.

Key job responsibilities
As a Data Engineer, you will/may:

• Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources.
• Design data schema and operate internal data warehouses and SQL/NoSQL database systems.
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards that engineers, analysts, and data scientists use to drive key business decisions.
• Monitor and troubleshoot operational or data issues in the data pipelines.
• Drive architectural plans and implementation for future data storage, reporting, and analytic solutions.
• Develop code based automated data pipelines able to process millions of data points.
• Improve database and data warehouse performance by tuning inefficient queries.
• Work collaboratively with Business Analysts, Data Scientists, and other internal partners to identify opportunities/problems.
• Provide assistance with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problem.

A day in the life
We’re on the lookout for the curious, those who think big and want to define the world of tomorrow. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth.
How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow.

Basic qualifications

- Currently has, or is in the process of obtaining, a Bachelor's degree or above in Computer Science, Computer Engineering, or related fields
- Are 18 years of age or older
- Experience with data mining and data transformation
- Experience with database, data warehouse or data lake solutions
- Experience building data pipelines or automated ETL processes
- Experience with SQL
- Experience with one or more scripting language (e.g., Python, KornShell)
- Work Monday-Friday, up to 40 hours per week

Preferred qualifications

- Experience with AWS
- Experience from previous technical internship(s) or demonstrated project experience
- Knowledge of basics of designing and implementing a data schema like normalization, relational model vs dimensional model
- Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments
- Can articulate the basic differences between datatypes (e.g. JSON/NoSQL, relational)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The starting pay for this position is listed below. In addition, Amazon offers basic life & AD&D insurance, paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.

Toronto, ON, CAN - 97,100.00 CAD Annually

How we rate this

Data Engineer, Early Career - 2026 (CAN) at Amazon rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Data Engineer, Early Career - 2026 (CAN) is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is CAD 97k a year.
The role is based in CA, ON, Toronto.
The job was posted on September 24, 2026.
Seniority: junior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringData PipelinesETLDatabase ManagementReportingSQLNosql

Also common in data engineer jobs at this level

Spark Azure Airflow Databricks Google Cloud Snowflake

Pay

Typical data engineer job: $145k

Use the typical data engineer figure as a reference when pay comes up. See data engineer jobs

Questions you could be asked

Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where data pipelines was part of your work. What did you do?
Tell me about a project where etl was part of your work. What did you do?
Tell me about a project where database management was part of your work. What did you do?
Tell me about a project where reporting was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Data Engineering, Data Pipelines, ETL, Database Management, and Reporting. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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