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Data Engineering Jobs in Ontario (NOW HIRING)

As a key member of our data engineering team, you will play a crucial role in leading a team of talented data engineers to spearhead the delivery of data products to improve decision making, driven ...

We are seeking an exceptional Director of Data Engineering to join McKesson Technology US Pharmaceutical Distribution (USPD) Decision Intelligence organization and lead the execution of design ...

We are seeking an exceptional Director of Data Engineering to join McKesson Technology US Pharmaceutical Distribution (USPD) Decision Intelligence organization and lead the execution of design ...

We are seeking an exceptional Director of Data Engineering to join McKesson Technology US Pharmaceutical Distribution (USPD) Decision Intelligence organization and lead the execution of design ...

As Director, Data Engineering within our Global Technology & Data Team, you'll play a pivotal role in shaping and executing Colliers' enterprise data engineering strategy across a complex multi-cloud ...

As Director, Data Engineering within our Global Technology & Data Team, you'll play a pivotal role in shaping and executing Colliers' enterprise data engineering strategy across a complex multi-cloud ...

We are seeking a senior, hands-on Data Engineering Lead for one of our clients to oversee enterprise data engineering, platform development, and team mentorship. In this role, you will lead a cross ...

Manager, Data Engineering

Toronto, ON ยท Hybrid

CA$124K - CA$160K/yr

Your Moneris Career - The Opportunity Lead the data engineering function, delivering reliable, scalable, and secure data platforms and pipelines that power Moneris' business, operational, and ...

As the Director, Data Engineering (GCP), you will lead our Google Cloud data engineering function within the Data and Analytics team. You will play a pivotal, highly visible leadership role driving ...

Senior Manager, Data Engineering

Toronto, ON ยท On-site +1

CA$142K - CA$177K/yr

Your Moneris Career - The Opportunity As the Senior Manager, Data Engineering, you will lead the data engineering function responsible for delivering reliable, scalable, and secure data platforms ...

INTRODUCTION ABC Fitness is looking for a Director, Data Engineering to lead the data engineering, data architecture, data platform, and data product capabilities that power ABC Fitness Insights ...

INTRODUCTION ABC Fitness is looking for a Director, Data Engineering to lead the data engineering, data architecture, data platform, and data product capabilities that power ABC Fitness Insights ...

The Manager, Data Engineering is responsible for the management of Automotive Finance (AF) Data Mart used for manufacturer subvention invoicing, manufacturer reporting, AF management reporting ...

Data Engineering Consultant

Toronto, ON ยท On-site

CA$95K - CA$120K/yr

We build solutions across diverse domains - backend, frontend, cloud, mobile, data engineering, infrastructure, product, UX/UI, and more. * We have a flat organizational structure with no traditional ...

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Data Engineering information

See Ontario salary details

$25K

$135.7K

$228.5K

How much do data engineering jobs pay per year?

As of Sep 15, 2026, the average yearly pay for data engineering in Ontario is $135,712.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,500.00 and $172,000.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

What are the most commonly searched types of Data Engineering jobs in Ontario?

The most popular types of Data Engineering jobs in Ontario are:

What are popular job titles related to Data Engineering jobs in Ontario?

For Data Engineering jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Data Engineering jobs in Ontario look for?

The top searched job categories for Data Engineering jobs in Ontario are:

Infographic showing various Data Engineering job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $135,712 per year, or $65.2 per hour.

Lead, Data Engineering

Toronto, ON โ€ข On-site

Royal Bank of Canada
Banking and Credit Intermediationย โ€ขย 10K+ employees

Full-time

Re-posted 15 days ago


Job description

Job Description

What is the Opportunity?

This is an opportunity within the Data & Analytics team at RBC Global Asset Management. We are seeking a hands-on, highly skilled and motivated individual to join our dynamic team as a Data Engineering Tech Lead. As a key member of our data engineering team, you will play a crucial role in leading a team of talented data engineers to spearhead the delivery of data products to improve decision making, driven by data, and empowered bytechnology.Yourprimary focus will be on designing, implementing, and maintaining robust data infrastructure and pipelines to support our organization's data needs and advance our capabilities pertaining to data engineering, BI, Machine Learning and AI.

As the successful candidate you will partner with key business stakeholders, understand the business drivers, and advise on data products delivery roadmap based on value prioritization and team capacity planning. You will enable the team to function at their highest efficiencies by fostering a collaborative and innovative team culture.You have excellent communication and presentation skills to work effectively at all levels of the organization.

What you will do:

  • Lead, mentor, and inspire a team of data engineers to achieve high performance levels.

  • Take on the role to lead a development team working as part of multiple squads.

  • Help drive our data strategy and the modernization of our data platform vision by designing and implementing scalable, maintainable, and efficient data architectures.

  • Work closely with data architects to define data models and standards and ensure adherence to data engineering best practices.

  • Oversee the planning, execution, and delivery of data engineering projects.

  • Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.

  • Develop and maintain robust ETL processes to extract, transform, and load data from various sources into our data platform.

  • Optimize data integration workflows for performance and reliability.

  • Troubleshoot and resolve data integration issues.

  • Implement and enforce data quality standards and best practices while collaborating with data governance teams to ensure compliance with data policies and regulations.

  • Work closely with the data platform team to optimize data infrastructure, databases, storage, and processing systems, and oversee the requirements to improve our DevOps, DataOps, MLOps processes and tools.

  • Apply design-thinking and agile mindset in working with various stakeholders to continuously experiment, iterate and deliver on solutions that enable end-users to extract insights and value from data.

  • Stay informed about emerging technologies and trends in data engineering.

What you need:

  • 5 years of hands-on experience in a data engineering role and 2 years of leading a team of data engineers

  • Hands-on experience building Batch and Realtime data pipelines leveraging big data technologies such as Hadoop, Spark, NiFi, Kafka, etc.

  • Proficiency in writing and optimizing SQL queries and at least one programming languages like Java, Scala or Python

  • Experience with cloud-based data platforms (Snowflakes, AWS, Azure, GCP)

  • Experience with following DevOps and agile best practices

Nice to have

  • Experience with OpenShift, S3, Trino, Ranger and Hive.

  • Java Spring and MVC based web development concepts.

  • Knowledge of machine learning and data science concepts and tools.

  • Experience with event tracking Building workload monitoring dashboards.

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

  • Leaders who support your development through coaching and managing opportunities

  • Ability to make a difference and lasting impact

  • Work in a dynamic, collaborative, progressive, and high-performing team

  • Flexible work/life balance options

  • Opportunities to do challenging work

  • Opportunities to take on progressively greateraccountabilities

  • Access to a variety of job opportunities across business and geographies

#LI-POST
#TechPJ

Job Skills

Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

WEALTH MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-06-29

Application Deadline:

2026-10-02

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Compensation for this position (including salary and discretionary/variable payments) will be determined by factors, including but not limited to candidate's experience, skills, registration status, performance, individual goals, market conditions, and business needs.

Pay Range

The expected pay range for this position is:

$105,000.00 - $155,000.00

The pay range provided is for the primary work location referenced in the Additional Job Details section of this job posting. Pay ranges may differ based on location. If the posting lists multiple job locations, a recruiter can confirm availability of the role and the relevant pay rage for the additional locations listed. RBC supports pay transparency and we strive to ensure all pay ranges are competitive, fair, and equitable.

You have the potential to earn RBC's discretionary variable compensation program which gives you an opportunity to increase your total compensation, provided that business meets its performance targets and you meet your individual goals.

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME