Amazon Data Engineer Early Career 2026 – Canada
Amazon is hiring for the Data Engineer, Early Career 2026 position in Toronto, Ontario, Canada. This full-time opportunity is designed for candidates with a background in Computer Science, Computer Engineering, or related fields who have experience with SQL, Python, data transformation, databases, and ETL pipelines.
According to the official Amazon job listing, the role is scheduled to start in November or December 2026. Candidates will work on scalable data systems, automated data pipelines, data warehouses, and analytics solutions supporting Amazon’s business and engineering teams.
Interested candidates can review the eligibility criteria, technical requirements, salary details, and application process below.
Amazon Data Engineer Early Career 2026 – Job Overview
| Job Details | Information |
|---|---|
| Company | Amazon |
| Job Title | Data Engineer, Early Career |
| Hiring Year | 2026 |
| Job ID | 10559101 |
| Location | Toronto, Ontario, Canada |
| Job Type | Fullamazon-data-engineer-early-career-2026-canada-time |
| Expected Start | November or December 2026 |
| Work Arrangement | In-office |
| Working Days | Monday to Friday |
| Working Hours | Up to 40 hours per week |
| Minimum Qualification | Bachelor’s degree or above |
| Required Skills | SQL, Python or scripting, ETL, data transformation |
| Annual Starting Pay | CAD 97,100 |
| Application Mode | Online |
Amazon Data Engineer 2026 Eligibility Criteria
Candidates applying for the Amazon Data Engineer Early Career position must meet the basic qualifications listed in the official job description.
- Currently hold or be pursuing a bachelor’s degree or higher in Computer Science, Computer Engineering, or a related field.
- Be at least 18 years old.Amazon Data Engineer Early Career 2026 in Toronto, Canada. Check eligibility, SQL and Python skills, salary of CAD 97,100, and how to apply online.
- Have experience with data mining and data transformation.
- Have experience with databases, data warehouses, or data lakes.
- Have experience building data pipelines or automated ETL processes.
- Possess SQL experience.
- Have experience with at least one scripting language, such as Python or KornShell.
- Be available to work in the office Monday through Friday, up to 40 hours per week.
Candidates should review the official listing carefully to confirm that their qualifications and experience match the requirements.
Amazon Data Engineer Job Responsibilities
Selected candidates will contribute to data engineering projects involving large-scale data processing, storage, reporting, and analytics.
1. Data Pipeline Development
Design, develop, and automate data pipelines that collect and process log events from multiple sources.
2. Database and Data Warehouse Management
Design data schemas and work with internal data warehouses, SQL databases, and NoSQL database systems.
3. Data Analytics and Reporting
Build and maintain metrics, reports, analyses, and dashboards used by engineers, analysts, and data scientists to make business decisions.
4. Data Pipeline Monitoring
Monitor data pipelines, investigate operational issues, identify root causes, and resolve data processing defects.
5. ETL Automation
Develop code-based automated pipelines capable of processing millions of data points efficiently.
6. Query and Performance Optimization
Identify inefficient queries and improve the performance of databases and data warehouses.
7. Cross-Functional Collaboration
Work with Business Analysts, Data Scientists, engineers, and other internal teams to identify problems and develop data-driven solutions.
Technical Skills Required for Amazon Data Engineer 2026
Candidates should focus on the following skills when preparing their applications.
- SQL: Queries, joins, aggregations, data manipulation, and query optimization.
- Python: Scripting, data processing, and automation.
- ETL Pipelines: Extracting, transforming, and loading data from different sources.
- Data Warehousing: Understanding warehouse architecture and analytical data models.
- Data Lakes and Databases: Familiarity with relational and NoSQL data storage.
- Data Modeling: Knowledge of normalization, relational models, and dimensional models.
- Big Data Technologies: Familiarity with Hadoop or Apache Spark.
- Data Formats: Understanding differences between JSON, relational data, and NoSQL structures.
Preferred Qualifications
The following experience can strengthen an application:
- Experience with Amazon Web Services (AWS).
- Previous technical internships or demonstrable technical projects.
- Knowledge of database schema design and data modeling.
- Familiarity with big data processing technologies such as Hadoop or Apache Spark.
- Understanding of data warehouse architecture, ETL, reporting, and analytics tools.
- Ability to explain the differences between relational databases, JSON, and NoSQL data models.
These are preferred qualifications and should not be confused with the mandatory basic qualifications.
Amazon Data Engineer Salary in Canada
The official job listing states a starting annual pay of CAD 97,100 for the position in Toronto, Ontario.
| Compensation Detail | Information |
|---|---|
| Starting annual pay | CAD 97,100 |
| Currency | Canadian dollars (CAD) |
| Location | Toronto, Ontario, Canada |
| Other benefits | Basic life and AD&D insurance, paid time off, and other well-being resources |
The listed starting pay is not necessarily the complete compensation package. Additional compensation or benefits may depend on Amazon’s offer and applicable employment terms.
Amazon Data Engineer Work Schedule
This is a full-time, in-office position. Candidates should be prepared to:
- Work Monday through Friday.
- Work up to 40 hours per week.
- Follow the team’s working hours, typically between 8 AM and 5 PM.
- Join the Toronto team with the expected start date in November or December 2026.
Specific working arrangements and team expectations will be communicated by the hiring manager.
How to Apply for Amazon Data Engineer Early Career 2026
Follow these steps to apply for the position:
- Visit the official Amazon Jobs application page.
- Search for the role using job ID 10559101.
- Review the complete job description and eligibility requirements.
- Prepare an updated resume highlighting SQL, Python, ETL, data engineering projects, databases, and cloud technologies.
- Click the Apply button on the official listing.
- Complete the online application and submit the required information.
- Monitor your email and Amazon Jobs application status for further updates.
Apply Online
Official application link: https://amazon.jobs/en/jobs/10559101/data-engineer-early-career-2026-can
Apply only through Amazon’s official careers website. Amazon states that it does not request recruitment fees or deposits.
Resume Tips for Amazon Data Engineer 2026
Candidates can strengthen their applications by highlighting relevant experience and projects involving:
- SQL and Python-based data processing.
- Automated ETL and ELT pipelines.
- AWS data engineering services.
- Apache Spark or Hadoop.
- Data lake and data warehouse architecture.
- Data modeling and schema design.
- Query optimization and troubleshooting.
- Data quality checks, monitoring, and pipeline reliability.
Use measurable project outcomes where possible, and ensure all skills and achievements listed on your resume are accurate.
Frequently Asked Questions (FAQs)
1. Is Amazon hiring Data Engineers in 2026?
Yes. The supplied official job listing advertises a Data Engineer, Early Career position for 2026 in Toronto, Canada. Check the application page for current availability.
2. Where is the Amazon Data Engineer job located?
The position is based in Toronto, Ontario, Canada.
3. What is the salary for Amazon Data Engineer Early Career 2026?
The official listing states a starting annual pay of CAD 97,100.
4. What qualifications are required?
Candidates must hold or be pursuing a bachelor’s degree or above in Computer Science, Computer Engineering, or a related field and meet the other basic qualifications.
5. Which technical skills are required?
The basic qualifications include SQL, a scripting language such as Python or KornShell, data transformation, database or data lake solutions, and ETL pipeline development.
6. Is AWS experience mandatory?
AWS experience is listed as a preferred qualification, not a basic qualification in the supplied description.
7. When does the job start?
The listing states that the position is expected to start in November or December 2026.
8. Is this a remote job?
No remote arrangement is specified. The listing states that candidates should expect to work in the office Monday through Friday.
9. How can I apply?
Apply through the official Amazon Jobs listing: https://amazon.jobs/en/jobs/10559101/data-engineer-early-career-2026-can
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Disclaimer
This article is based on the supplied Amazon Jobs listing and is intended for informational purposes. Job availability, eligibility, salary, and employment terms may change. Please verify the latest details on Amazon’s official careers website before applying. HiringHustle is an independent job information platform and is not affiliated with or endorsed by Amazon.