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Data Engineer Jobs in Toronto, ON (NOW HIRING)

Tiger Analytics Inc.

GenAI Data Engineer

Toronto, ON · Remote

As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data ...

Tiger Analytics Inc.

GenAI Data Engineer

Toronto, ON · On-site

As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data ...

Morson Talent

25-199 - Data Engineer

Oshawa, ON · Remote

$85 - $95/hr

Data Engineer Resume Due Date: Monday, July 27th, 2026 (5:00PM EST) Number of Vacancies: 2 Level: MP4, $80/hr - $95/hr INC Duration: 11 Months Hours of work: 35 hours Location: 1908 Colonel Sam Drive ...

Gadventures

Intermediate Data Engineer

Toronto, ON · On-site

  • PTO

The Intermediate Data Engineer is highly motivated and experienced; responsible for designing, building and maintaining highly scalable and robust data solutions for our global operations. The role ...

Citylitics

Jr Data Engineer

Toronto, ON · Hybrid

This role requires a solid understanding of data engineering best practices, and experience with orchestration, data modeling, and data warehouses. You'll be responsible for designing, building, and ...

Citylitics

Jr Data Engineer

Toronto, ON · On-site

This role requires a solid understanding of data engineering best practices, and experience with orchestration, data modeling, and data warehouses. You'll be responsible for designing, building, and ...

Royal Bank of Canada

Lead Data Engineer

Toronto, ON

Are you a hands-on data platform engineer who thrives on building cloud-native, high-scale data platforms and enabling teams on top of them? Come join us! Global Functions Technology (GFT) partners ...

Talent To Hire Inc.

Senior Data Engineer

Toronto, ON · On-site

CA$110K - CA$145K/yr

SENIOR DATA ENGINEER- Toronto ( 3 days downtown/Hybrid) Our client is interviewing to onboard a Senior Data Engineers to join their Data & Analytics team within the Wealth Technology group . We are ...

Td

Data Engineer II

Toronto, ON

CA$81K - CA$115K/yr

  • Medical

  • Retirement

  • PTO

Provide a broad range of data engineering functions including data modeling, data quality, data profiling, data acquisition and ingestion, extract transform load (ETL), metadata enrichment and ...

Lakeview Loan Servicing

Lead Data Engineer

Toronto, ON · Remote

CA$220K - CA$260K/yr

  • Medical

  • Retirement

Overview The Lead Data Engineer on the Nebula team plays a significant technical leadership role in shaping and scaling the data foundation that powers analytics, reporting, AI development, and ...

Morson Talent

25-167 Data Engineer

Oshawa, ON · Hybrid

$75 - $95/hr

Data Engineer 25-0167 Resume Due Date: Tuesday June 9th 2026 (5:00PM EST) Number of Vacancies: 1 Level: $75 -$95/hr INC Duration: 12 Hours of work: 35 Location: 1985 Colonel Sam Drive, Oshawa (Hybrid ...

Td

Data Engineer I

Toronto, ON · On-site

CA$69K - CA$98K/yr

People You will join a close-knit group of data engineers and analysts who take real ownership of what they build. We value people who dig into problems end to end, recognize each other ...

Veem

Data Engineer, BI & Reporting

Toronto, ON · Remote

Data Engineer Location: Fully Remote (Canada, EST time zone) Compensation: Salary + Bonus + Health Benefits About Veem Veem is transforming global money movement. Traditional cross-border payments ...

Virtusa

Data Engineer

Toronto, ON

Cloud Developer - Architecture Location PCS CA~TORONTO Years of Experience 5-7 Years Job Summary We are seeking a skilled Cloud Developer with a strong focus on architecture to join our team. The ...

hireVouch

Data Scientist/Data Engineer

Toronto, ON · On-site

Data Scientist (AI & Data Engineering) - External Data & Intelligent Insights Location Toronto, ON (Hybrid) Role Summary Our client is a global real estate investor, developer, and manager connects ...

Virtusa

Data Engineer

Toronto, ON · On-site

Cloud Developer - Architecture Location PCS CA~TORONTO Years of Experience 5-7 Years Job Summary We are seeking a skilled Cloud Developer with a strong focus on architecture to join our team. The ...

CorGTA

Senior Data Engineer

Toronto, ON · Hybrid

CA$100/hr

Senior Data Engineer Structure: Hybrid (2 days onsite / 3 days remote) - Toronto Duration: 6-Month Contract Pay Rate:up to $100 INC p/h -- We have a great new opportunity to support one of our ...

NPI Northland Power Inc.

Data Engineer/Architect

Toronto, ON · On-site

  • Medical

  • Dental

  • Vision

  • Life

The Data Architect / Data Engineer is responsible for designing, developing, and managing Northland Power's enterprise data platform. This role will own the organization's Azure-based data warehouse ...

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All JobsData Engineer JobsData Engineer Jobs in Toronto, ON

Data Engineer information

See Toronto, ON salary details

$57.3K

$117K

$172.7K

How much do data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data engineer in Toronto, ON is $117,023.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,525.00 and $135,993.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Toronto, ON?

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For Data Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in Toronto, ON look for?

The top searched job categories for Data Engineer jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Data Engineer jobs?

Cities near Toronto, ON with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $117,023 per year, or $56.3 per hour.

GenAI Data Engineer

Tiger Analytics Inc.

Toronto, ON • Remote

Full-time

Re-posted 17 days ago

Job description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking an experienced Data Engineer with expertise in Dataiku to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.

Requirements

  • Design and implement robust data pipelines that ingest, process, and store unstructured data formats at scale within Snowflake and GCP.
  • Leverage Snowflake’s unstructured data capabilities (Directory Tables, Scoped URLs, Snowpark) to make "dark data" queryable and actionable.
  • Build and maintain cloud-native ETL/ELT processes using BigQuery, Cloud Storage, and Dataflow, ensuring seamless integration between GCP and Snowflake.
  • Instead of just using LLMs, you will integrate AI tools (OCR, NLP entities, Document AI) into the engineering flow to transform unstructured blobs into structured insights.
  • Tune complex SQL queries and Python-based processing jobs to handle petabyte-scale environments efficiently.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.