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Data Engineering Jobs in Ontario (NOW HIRING)

Nasdaq

Data Engineering Specialist

Toronto, ON · Hybrid

CA$84K - CA$115K/yr

As a Data Engineering Specialist reporting to the Senior Director of Data Engineering, you'll play a critical role in designing, building, and scaling the data infrastructure that powers one of the ...

McKesson

Director Data Engineering

Mississauga, ON

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 ...

McKesson

Director Data Engineering

Mississauga, ON

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 ...

MCKESSON

Director Data Engineering

Mississauga, ON

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 ...

Moneris

Manager, Data Engineering

Toronto, ON · Hybrid

CA$160K/yr

Your Moneris Career - The Opportunity Manager, Data Engineering I Lead the data engineering function, delivering reliable, scalable, and secure data platforms and pipelines that power Moneris ...

Moneris

Senior Manager, Data Engineering

Toronto, ON · Hybrid

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 ...

Takeaway

Senior Manager - Data Engineering

Toronto, ON · On-site +1

CA$120K - CA$160K/yr

As Senior Manager, Data Engineering, you'll lead a team of data and analytics engineers, plus a contractor pod, building the platforms and consumption layer that power decisions, ML and customer ...

ABC Fitness Solutions

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 ...

ABC Financial

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 ...

Cogeco

Specialist, Data Engineering

Burlington, ON · On-site

Reporting to the Lead Data Engineering, the Data Engineering Specialist is responsible for designing, developing, and maintaining data integration and transformation processes in our cloud-based data ...

Netlight

Data Engineering Consultant

Toronto, ON

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 ...

Generac

Senior Manager, Data Engineering

Toronto, ON · Hybrid

Who You Will Be Joining As a Senior Engineering Manager in Data Engineering, you will lead a team of data engineers to build out our next generation Data Platform. With their support, you'll be ...

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All JobsData Engineering JobsData Engineering Jobs in Ontario

Data Engineering information

See Ontario salary details

$25K

$135.7K

$228.5K

How much do data engineering jobs pay per year?

As of Jul 28, 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.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

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 engineers make 500,000?

Senior data engineers with extensive experience, specialized skills in cloud platforms, and advanced knowledge of data architecture can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

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.

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 require skills in SQL, cloud platforms, and data pipeline tools like Apache Spark or Kafka, making their expertise valuable across many industries. The role is expected to remain strong as organizations continue to prioritize data infrastructure and analytics capabilities.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

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.

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:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Ontario as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $135,712 per year, or $65.2 per hour.
Data Engineering Specialist

Data Engineering Specialist

Nasdaq

Toronto, ON • Hybrid

CA$84K - CA$115K/yr

Full-time

Posted 6 days ago

Job description

As a Data Engineering Specialist reporting to the Senior Director of Data Engineering, you'll play a critical role in designing, building, and scaling the data infrastructure that powers one of the world's largest data marketplaces - serving hundreds of thousands of professionals across finance, technology, and beyond.
You'll thrive in this position if you're analytical, detail-oriented, and passionate about data quality and engineering excellence in a fast-paced, high-impact environment.
Key Responsibilities
  • Design, implement, and maintain components of our data platform, with a strong focus on data onboarding and automation.
  • Build and optimize data ingestion pipelines that clean, transform, and load large volumes of structured and unstructured data.
  • Develop automated data processing, transformation, and quality assurance workflows to ensure completeness, accuracy, and reliability.
  • Write and manage distributed data pipelines supporting both real-time and batch processing across cloud environments.
  • Champion a collaborative code review culture that promotes maintainability, best practices, and continuous improvement.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
  • 6+ years of professional experience in software or data engineering.
  • Proficiency in Python (required), with working knowledge of SQL and Spark/PySpark.
  • Hands-on experience with cloud platforms and data tools, including distributed data pipeline development and orchestration.
  • Strong written and verbal communication skills in English, with the ability to document clearly and concisely.
Preferred Qualifications
  • Experience building and integrating AI tools into data engineering workflows.
  • Data engineering certification (e.g., Databricks Certified Data Engineering Associate or Professional).
  • Prior experience in fintech, capital markets, or a regulated data environment.

This position will be located in Toronto, Canada, and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.

Come as You Are

Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities.

We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.

We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.

What We Offer

We're proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq's overall success.

The base pay range for this role is $84,000 - $115,000. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.

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