Jobs in Ontario

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

111,119 listings · 11,871 employers Counted Sep 24, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (2,751 listings), Walmart Canada (1,990 listings), Walmart (1,655 listings).

Common roles: Retail sales associate, Project manager, Sales representative.

14,771 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 / year	80,000.00	7,552
CAD / hour	22.00	5,453
USD / year	100,000.00	604
USD / hour	20.00	332
CAD / month	6,424.04	24
CAD / week	800.00	22
GBP / hour	35.00	15

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, 19% hybrid, 80% 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

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Apptoza Inc.

AWS Data Engineer - SQL, OLAP, OLTP, ETL , PYTHON

Toronto, ON, Canada

Job type: Contract
Apply by: Oct 23, 2026
Experience: 12+ years of experience in Data Engineering.
Posting language: English
Posted: Sep 23, 2026

Apply About employer

Applications open in a new tab.

Original job description

Job Title: Senior AWS Data Engineer

Location: Toronto, ON

Work Model: Hybrid – 3 Days/Week Onsite

Client: Banking Labs

Duration: 12-Month Contract (Extension Possible)

Job Summary

AWS, SQL, OLAP, OLTP, ETL , PYTHON

We are seeking a Senior AWS Data Engineer with 10+ years of hands-on experience designing, developing, and supporting enterprise-scale data platforms on AWS. The ideal candidate will be a strong individual contributor with deep expertise in AWS data engineering, ETL development, and real-time data streaming technologies.

This role requires someone who can quickly understand business requirements, build scalable data pipelines, optimize data processing, and support production-grade cloud data solutions in a fast-paced banking environment.

Key Responsibilities

Design, develop, and maintain scalable data pipelines using AWS services.

Build and optimize ETL/ELT workflows using AWS Glue (PySpark/Python).

Develop serverless data processing solutions using AWS Lambda.

Design and manage data lakes using Amazon S3.

Develop and optimize data warehouse solutions using Amazon Redshift.

Work with Amazon DynamoDB and other AWS data services for high-performance applications.

Build and support real-time data streaming solutions using Amazon Kinesis and/or Apache Kafka.

Develop, schedule, and monitor workflows using Apache Airflow.

Write complex SQL queries and optimize database performance across OLTP and OLAP systems.

Implement Infrastructure as Code (IaC) using AWS CDK or Terraform.

Monitor, troubleshoot, and support production data pipelines.

Collaborate with cross-functional teams to deliver reliable and scalable data solutions.

Follow Agile development practices and participate in sprint planning, code reviews, and technical discussions.

Required Skills

12+ years of experience in Data Engineering.

Strong hands-on experience with:

AWS Glue (PySpark/Python)

Amazon S3

AWS Lambda

Amazon Redshift

Amazon DynamoDB

Amazon Kinesis and/or Apache Kafka

Apache Airflow

SQL

Python

Strong understanding of ETL/ELT development.

Experience working with OLTP and OLAP databases.

Hands-on experience with Infrastructure as Code (AWS CDK or Terraform).

Experience building and supporting production-grade AWS data platforms.

Strong analytical, troubleshooting, and problem-solving skills.

Excellent communication and collaboration skills.

Preferred Qualifications

Experience in the Banking or Financial Services domain.

Experience with real-time event-driven data architectures.

Familiarity with CI/CD pipelines and DevOps practices.

Knowledge of data governance, security, and AWS best practices.

AWS Certifications are an asset.

Ideal Candidate

Strong hands-on AWS Data Engineer with proven technical expertise.

Individual contributor capable of designing and developing scalable cloud data solutions.

Experience delivering enterprise-grade AWS data platforms in production environments.

Able to work independently while collaborating effectively with cross-functional teams.

Apply About employer

More about this job

Responsibilities

Design, build, optimize, and support scalable AWS data pipelines, ETL/ELT workflows, data lakes, warehouses, and real-time streaming solutions. Monitor production systems, implement infrastructure as code, and collaborate with cross-functional teams using Agile practices.

Requirements

Requires 12+ years of data engineering experience and strong hands-on expertise with AWS data services, Python, SQL, ETL/ELT, and OLTP and OLAP databases. Candidates should have experience with infrastructure as code and production-grade AWS platforms, with banking experience, real-time architectures, CI/CD, and AWS certifications considered advantageous.

Skills

AWS Glue
PySpark
Python
Amazon S3
AWS Lambda
Amazon Redshift
Amazon DynamoDB
Amazon Kinesis
Apache Kafka
Apache Airflow
SQL
ETL/ELT
OLTP
OLAP
AWS CDK
Terraform

Visa sponsorship

Not detected in the job text

Keywords

AWS
AWS Glue
PySpark
Python
Amazon S3
AWS Lambda
Amazon Redshift
Amazon DynamoDB
Amazon Kinesis
Apache Kafka
Apache Airflow
SQL
ETL/ELT
OLTP
OLAP
AWS CDK
Terraform
Data Engineering
Data Lakes
Data Warehousing
Real-Time Data Streaming
Event-Driven Architecture
Infrastructure as Code
CI/CD
DevOps
Agile
Banking
Data Governance
Cloud Security

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