Data engineer jobs in Mississauga, ON and nearby

Within 25 km

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Added 1 month ago
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SQL Developer / Data Engineer
TD
Toronto, ON
- Full-time
Position Title: Senior SQL Developer / Data Engineer
Added 1 month ago
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Python Developer – Data Engineer
Synechron
Toronto, ON
- $100,000 to $125,000 CAD / year
- Full-time
…Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and…
Added 1 month ago
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Data Engineer
BMO
Toronto, ON
- Full-time
Data and AI Technology (DAT) Engineering supports BMO's Digital-First, risk, regulatory and compliance requirements by building data and AI products that provide timely actionable insights…
Added 1 month ago
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Senior Data Engineer - Zonda - Toronto, Ontario
CoStar
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
The Senior Data Engineer is responsible for designing, building, and operating reliable, scalable data pipelines and data products across a modern cloud data platform.
Added 1 month ago
Senior Data Engineer
Tubi - Canada
Toronto, ON
As a Senior Data Engineer at Tubi, you'll be instrumental in developing and maintaining robust data processing pipelines that underpin our reporting, analytics, and performance insights.…
Added 1 month ago
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Data Engineer
Pacer Group
Toronto, ON
- $120,000 to $125,000 CAD / year
- Full-time
Must have over all 9 years’ experience
Added 1 month ago
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AI-Aware Data Engineer (Oracle, PostgreSQL & Azure)
Cognizant
Toronto, ON
- Full-time
Based on this role's business requirements, this is a hybrid position requiring 3 days per week in a client or Cognizant office
Added 1 month ago
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Senior Data Engineer
Tundra Technical Solutions
Toronto, ON
- $70 to $77 CAD / hour
- Contract
This role operates under a hybrid work model and requires employees to work from the office a minimum of two days per week.
Added 1 month ago
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Lead Data Engineer / Data Platform Lead
Apexon
Toronto, ON
- Full-time
The primary focus of this role will be to design, build, and maintain the EMFI Data Application Platform, a financial analytics application. The incumbent will work across the full stack to…
Added 1 month ago
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Data Engineer
emergiTEL
Toronto, ON
- $80 to $90 CAD / hour
- Contract
emergiTEL is hiring a Data Engineer for our client in the technology services industry. This role can be either contract or perm.
Added 1 month ago
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Senior Data Engineer, Temporary
Aviso
Toronto, ON
- Temporary
We're looking for a Senior Data Engineer to join our Data and Analytics Group within the Technology Services Partners (TSP) department for 12 months.
Added 1 month ago
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Senior Data Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON
- $103,000 to $153,000 CAD / year
- Full-time
…financial future for the healthcare community. As a Senior Data Engineer, you will design and build the data foundations (spanning structured and unstructured data on AWS) that turn raw…
Added 1 month ago
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Data Engineer Sr
Insight
Toronto, ON
- Full-time
We are seeking a Senior Data Engineer to design, build, and optimize modern data platforms that enable analytics, reporting, operational intelligence, and AI-driven solutions.
Added 1 month ago
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Data Engineer (Data Modeling/Data Governance)
Tangerine
Toronto, ON
- Full-time
We are looking for an experienced Data Engineer to design, develop, and support scalable enterprise data solutions within a financial services environment.
Added 1 month ago
H(
Senior Data Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON
- $103,000 to $153,000 CAD / year
- Full-time
…financial future for the healthcare community. As a Senior Data Engineer, you will design and build the data foundations (spanning structured and unstructured data on AWS) that turn raw…
Added 1 month ago
JG
Data Engineer
J&M Group
Toronto, ON
- Contract
We're looking for a Data Engineer with strong Python and SQL Server expertise to build and maintain ETL pipelines and reporting solutions for a major Canadian bank in downtown Toronto. The…
Added 1 month ago
Data Engineer (Data Modeling/Data Governance)
Scotiabank
Toronto, ON
We are looking for an experienced Data Engineer to design, develop, and support scalable enterprise data solutions within a financial services environment.
Added 1 month ago
JG
Data Engineer
J&M Group
Mississauga, ON
- Full-time
Data Analysis and Data Wrangling skills when dealing with Huge Volume.
Added 1 month ago
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Senior Data Engineer - Toronto
Trisura
Toronto, ON
- Full-time
We are currently seeking a driven and collaborative Senior Data Engineer to join our forward-thinking Data and Analytics team.
Added 1 month ago
ZC
Data Engineer
Zurich Canada
Toronto, ON
- Full-time
Zurich Canada is looking for a Data Engineer to build, operate and support data pipelines and analytics-ready datasets that power reporting, advanced analytics and AI-enabled solutions…
Added 1 month ago
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Data Engineer (Databricks) - Consultant
Deloitte
Toronto, ON
- Full-time
Certified Databricks Data Engineer Associate (required)
Added 1 month ago
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Data Engineer, Early Career - 2026 (CAN)
Amazon
Toronto, ON
- Full-time
Design data schema and operate internal data warehouses and SQL/NoSQL database systems.
Added 1 month ago
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Staff / Lead Data Engineer - Bidding (Bangkok based, relocation provided)
Agoda
Toronto, ON
- Full-time
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build…
Added 1 month ago
Senior Data Engineer - Toronto
Trisura Guarantee Insurance Company
Toronto, ON
We are currently seeking a driven and collaborative Senior Data Engineer to join our forward-thinking Data and Analytics team.
Added 1 month ago
IM
Senior Data Engineer, Risk Technology
Investment Management Corporation of Ontario (IMCO)
Toronto, ON
- Full-time
As a key member of the Risk Technology team, the Senior Data Engineer will be the team’s senior hands-on Power BI developer, responsible for designing complex reports and visuals, scalable…

Amazon

Data Engineer, Early Career - 2026 (CAN)

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Sep 24, 2026

Original job description

Description

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

Company - Amazon Development Centre Canada ULC - K03

Job ID: A10559101

Apply on LinkedIn About employer

More about this job

Responsibilities

Design, build, and maintain automated data pipelines, distributed data-processing systems, databases, data warehouses, reports, and dashboards. Monitor and troubleshoot data operations, improve query and warehouse performance, and collaborate with analysts, data scientists, and other partners to deliver analytics solutions.

Requirements

Candidates must have or be pursuing a bachelor's degree or higher in computer science, computer engineering, or a related field, and be at least 18 years old. Required experience includes data mining and transformation, database, warehouse, or lake solutions, data pipelines or automated ETL, SQL, and a scripting language; AWS, internships or projects, data modeling, and big-data technologies are preferred.

Skills

Data Mining
Data Transformation
Data Pipelines
ETL
SQL
Python
KornShell
Database Management
Data Warehousing
Data Lakes
Data Schema Design
Big Data Processing
Hadoop
Apache Spark
AWS
Dashboard Development

Benefits

Basic Life Insurance
Accidental Death And Dismemberment Insurance
Paid Time Off

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Distributed Systems
Log Events
Data Collection
Data Processing
Data Pipelines
Automated ETL
SQL
Python
KornShell
Database Systems
SQL Databases
NoSQL Databases
Data Warehouses
Data Lakes
Data Schema
Data Mining
Data Transformation
Metrics
Reports
Dashboards
AWS
Hadoop
Apache Spark
Big Data
Data Modeling
Relational Model
Dimensional Model
JSON
Query Optimization

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