Jobs in Ontario

Jobs across Ontario, Canada. Choose a city or town to search nearby.

168,101 listings · 19,066 employers Counted Oct 26, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (4,443 listings), Shoppers Drug Mart (3,396 listings), Walmart Canada (2,673 listings).

Common roles: Retail sales associate, Practical nurse, Project manager.

28,120 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	23.00	14,629
CAD / year	80,000.00	11,088
USD / year	100,000.00	711
USD / hour	20.00	531
CAD / month	4,108.00	43
CAD / week	750.00	27
CAD / day	28.00	11

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 0% remote, 17% hybrid, 82% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Ontario

Email me new jobs Save this search

Added 2 hours ago
WH
Physician Assistant
WELL Health Diagnostic Centres
Brampton, ON · Toronto, ON
- Full-time
Added 2 hours ago
WH
Patient Care Representative
WELL Health Diagnostic Centres
Orangeville, ON
- Full-time
Added 2 hours ago
WH
Patient Care Representative
WELL Health Diagnostic Centres
Milton, ON
- Full-time
Added 2 hours ago
H
Kitchen Supervisor, Full Time
Havergal
Hamilton, ON
- Full-time
Added 2 hours ago
Senior Customer Success Manager, Canada Strategic Account Services
Amazon
Toronto, ON
Added 2 hours ago
SB
Light Duty Commercial Cleaner Evening
ServiceMaster Building Maintenance
Guelph, ON
- $18.25 CAD / hour
- Part-time
Added 2 hours ago
TO
Insurance Sales Account Manager
Todd O'Donnell Insurance Agency
Cambridge, ON
- $48,000 to $75,000 CAD / year
- Full-time
Added 2 hours ago
Rehab Assistant
Bayshore
Chatham-Kent, ON
Added 2 hours ago
PSW - Facility Evenings
Bayshore
Kemptville, ON
Added 2 hours ago
SD
Pharmacy Assistant, Hourly Part Time Flexible Shifts Greenlight Requisition
Shoppers Drug Mart
Kenora, ON
- Part-time
Added 2 hours ago
SD
Assistant Front Store Manager, Hourly Full Time Flexible Shifts
Shoppers Drug Mart
Barrie, ON
- Full-time
Added 2 hours ago
SD
Post Office Clerk, Hourly Part Time Day
Shoppers Drug Mart
Whitby, ON
- Part-time
Added 2 hours ago
SD
Cashier, Hourly Part Time Evening
Shoppers Drug Mart
Port Elgin, ON
- Part-time
Added 2 hours ago
SD
Associate Spouse, Salaried Part Time Day
Shoppers Drug Mart
Whitby, ON
- Part-time
Added 2 hours ago
Technical SME
Yondr Group
Toronto, ON
Added 2 hours ago
US
Warehouse Associate
UPS Supply Chain Solutions
Ajax, ON
- Part-time
Added 2 hours ago
ST
Sales Enablement Manager
SysAid Technologies
Toronto, ON
- Full-time
Added 2 hours ago
LU
Financial Analyst
LexisNexis UK
Toronto, ON
- Full-time
Added 2 hours ago
W
(CAN) Meat Associate
Walmart
Toronto, ON
- Part-time
Added 2 hours ago
W
(CAN) Front End Checkout Team Associate (LC)
Walmart
Thornhill, ON
- Part-time
Added 2 hours ago
W
(CAN) Asset Protection Operations Team Associate
Walmart
Carleton Place, ON
- Part-time
Added 2 hours ago
W
(CAN) Stocking 1 Team Associate
Walmart
Vaughan, ON
- Part-time
Added 2 hours ago
W
Food & Consumables Team Associate
Walmart
Peterborough, ON
- Part-time
Added 2 hours ago
W
(CAN) Overnight Associate
Walmart
Cambridge, ON
- Part-time
Added 2 hours ago
W
(CAN) Front End Checkout Team Associate (LC)
Walmart
Carleton Place, ON
- Part-time

Obsidi®

Data Engineer | Data & AI Technology

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Oct 26, 2026

Original job description

The Data Engineer plays a critical role within the Enterprise Data & AI Technology organization. This organization drives data enabled decision making, AI innovation, and technology modernization across the Bank.

What is the Role

You will design, build, and maintain scalable, resilient data pipelines to support the ingestion, processing, and distribution of large datasets.
You will leverage SaaS platforms and tools to develop, configure, and automate data workflows, improving efficiency across the data engineering lifecycle.
You will partner with stakeholders and product managers to gather requirements, design ingestion patterns, and onboard new data sources into the cloud data platform.
You will implement observability capabilities and continuously optimize application services and pipeline performance.
You will perform data integrity validation to ensure accuracy, reliability, and consistency of data.

Experience:

Experience building data pipelines, and composable cloud-based data platforms (Azure), using Azure Data Factory, ADLS.
Experience working with Lakehouse platforms: Databricks, Unity Catalog, Auto Loader
Experience with data engineering, programming, ETL and ELT processes for data extraction and processing
Experience working with structured, semi-structured, and unstructured data.
Strong programming and scripting skills (SQL, Python, Java, Scala)
Strong knowledge of cloud infrastructure and microservices architecture
Experience in creating technical design documentations, both logical and physical view
Experience collaborating and working with DevOps, Scrum, and Product Teams
Demonstrated team player with strong communication skills and a track record of successful delivery of product development.
Solid communication skills – ability to translate complex technical problems to business language
Experience in leading and driving technical discussions
Expert at problem solving and debugging

Technical Skills

4+ years of experience working with Data Warehouse / Data Platforms
4+ years of experience creating ELT / ETL data pipelines, working with structured, semi-structured, and unstructured data
4+ years of experience working on continuous integrations and continuous deployment pipeline (CI/CD) and working with source control systems such as Github, Bitbucket, and Terraform
Must have 4+ years of experience in Cloud: Azure
Must have 4+ years of experience in Lakehouse: Databricks

Apply About employer

More about this job

Responsibilities

Design, build, and maintain scalable data pipelines and cloud data workflows, including onboarding data sources and supporting ingestion, processing, and distribution. Improve pipeline performance and observability, validate data integrity, and collaborate with stakeholders and product teams on requirements and technical designs.

Requirements

Requires at least four years of experience with Azure, Databricks, data platforms, ETL/ELT pipelines, and CI/CD and source control systems. Candidates should have strong programming skills, experience with varied data types and cloud architecture, and the ability to lead technical discussions, troubleshoot problems, and communicate effectively with technical and business teams.

Skills

Data Pipeline Engineering
Azure
Azure Data Factory
Azure Data Lake Storage
Databricks
Unity Catalog
Auto Loader
SQL
Python
Java
Scala
ETL/ELT
CI/CD
Terraform
Data Validation
Microservices Architecture

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Data
Artificial Intelligence
Data Engineering
Data Pipelines
Azure
Azure Data Factory
Azure Data Lake Storage
Databricks
Unity Catalog
Auto Loader
Lakehouse
Cloud Data Platform
ETL
ELT
Structured Data
Semi-Structured Data
Unstructured Data
SQL
Python
Java
Scala
Microservices Architecture
Data Warehousing
CI/CD
GitHub
Bitbucket
Terraform
Data Observability
Data Integrity Validation
Scrum

Report this job