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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McKesson

Sr. Data Platform Engineer

Mississauga, ON, Canada

Pay: $99,100 - $132,100
Job type: Full-time
Apply by: Oct 23, 2026
Experience: Typically requires 7+ years of relevant professional experience in data engineering or related fields.
Posting language: English
Posted: Sep 23, 2026

Apply About employer

Applications open in a new tab.

Original job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

Position Summary (Purpose of job):

The Data Engineering – Level 4 provides technical leadership in designing, implementing, and optimizing McKesson’s enterprise data infrastructure to enable advanced analytics and decision-making. This position is responsible for building scalable data pipelines, developing ETL programs, and ensuring data integrity, reliability, and compliance within a regulated environment.

The role involves creating custom software components, maintaining metadata repositories, and implementing processes for data standardization and quality improvements. Collaborating with architects, analysts, and data scientists, the Sr. Data Engineering role drives innovation in data engineering practices and contributes to the development of robust, production-ready solutions that support strategic and operational objectives.

Key Responsibilities:

Design and implement scalable data pipelines and ETL programs to integrate complex data sources across internal and external systems.

Write and optimize advanced queries using SQL and Python to improve data processing and query performance.

Develop and maintain metadata repositories, ensuring data integrity, accuracy, and usability for enterprise systems.

Create and implement processes for data standardization, reliability, and quality improvements across platforms.

Troubleshoot and resolve complex data analytic issues, including production and development problems related to database management systems.

Develop and maintain query libraries and custom software components to support analytics and reporting needs.

Recommend and implement tools, technologies, and best practices to enhance data engineering capabilities and system performance.

Ensure adherence to governance, security, and regulatory compliance through rigorous data quality checks and documentation.

Collaborate with cross-functional teams to align data solutions with enterprise architecture and business priorities.

Provide technical leadership and mentor junior engineering teams to promote best practices and continuous improvement.

Minimum Job Qualifications (Knowledge, Skills, & Abilities):

Expertise in designing and maintaining data pipelines, ETL processes, and data integration across complex systems.

Advanced proficiency in SQL and Python for query optimization and data processing.

Strong knowledge of data modeling and design, including entity relationships and metadata management.

Familiarity with big data technologies such as Hadoop, Apache Kafka, and distributed file systems (HDFS).

Ability to implement processes for data standardization, reliability, and quality improvements.

Competence in troubleshooting complex data issues and resolving conflicts between models.

Skills in developing custom software components and analytics applications.

Effective communication and leadership skills for guiding technical decisions and mentoring team members.

Business Experience:

Bachelor’s degree or equivalent combination of education and experience. Typically requires 7+ years of relevant professional experience in data engineering or related fields.

Hands-on experience with advanced ETL development, SQL/Python scripting, and data integration across multiple platforms.

Experience in healthcare or other regulated industries is preferred.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.

Our Base Pay Range for this position

$99,100 - $132,100

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:

McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.

McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!

Apply About employer

More about this job

Responsibilities

The role involves designing and implementing scalable data pipelines and ETL programs to support enterprise analytics and decision-making. It also requires maintaining data integrity, metadata repositories, and collaborating with cross-functional teams to ensure compliance and system performance.

Requirements

Candidates must have at least 7 years of professional experience in data engineering with advanced proficiency in SQL and Python. A bachelor's degree is required, along with strong knowledge of data modeling, big data technologies, and experience in regulated environments.

Skills

Data engineering
SQL
Python
ETL
Data pipelines
Data modeling
Metadata management
Hadoop
Apache Kafka
Distributed file systems
Data integration
Technical leadership
Data quality
Regulatory compliance
Database management

Benefits

Annual bonus
Long-term incentive opportunities

Visa sponsorship

Not detected in the job text

Keywords

Data Platform Engineer
Data Engineering
ETL
SQL
Python
Data Pipelines
Data Modeling
Metadata Management
Hadoop
Apache Kafka
HDFS
Data Integration
Database Management
Analytics
Healthcare
Regulatory Compliance
Data Governance
Enterprise Architecture
Technical Leadership
Software Development

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