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Senior Data Engineer Jobs in Ontario (NOW HIRING)

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 ...

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 ...

Omers

Senior Data Engineer

Toronto, ON

Role Summary The Senior Data Engineer will join the Software Engineering team that leads the delivery of data and application solutions that enable OMERS Global Investments (GI) and Corporate teams ...

JLL

Senior Data Engineer

Toronto, ON · Remote

Senior Data Engineer - JLL What this job involves: As a Senior Data Engineer at JLL, you will leverage advanced technical expertise and enterprise-focused thinking to drive AI-powered automation that ...

New

Targeted Talent

Senior Data Engineer

Waterloo, ON · Remote

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've ...

Targeted Talent

Senior Data Engineer

Kitchener, ON · Remote

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've ...

Targeted Talent

Senior Data Engineer

Kitchener, ON · Remote

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've ...

Targeted Talent

Senior Data Engineer

Waterloo, ON · Remote

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've ...

Rockstar

Senior Data Engineer

Toronto, ON

A Sr. Data Engineer is sought to join the team. This individual will play a key role in evolving the core data platform, which includes data pipelines, machine learning models, and various databases.

GFL Environmental

Senior Data Engineer

Vaughan, ON · On-site

Our GFL team is expanding, and we are seeking a highly skilled Senior Data Engineer with experience in designing and maintaining real-time data streaming pipelines and building robust data lake ...

Konrad

Senior Data Engineer

Toronto, ON · Hybrid

CA$120K - CA$145K/yr

About The Role As a Senior Data Engineer you'll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric ...

Morson Talent

25-199 - Data Engineer

Oshawa, ON · Remote

$85 - $95/hr

Work closely with infrastructure, and cyber teams and Senior Data Developers to ensure data is secure in transit and at rest. Clean, prepare and optimize datasets for performance, ensuring lineage ...

Euna Solutions

Senior Data Engineer

Oakville, ON · Hybrid

CA$127K - CA$155K/yr

The Opportunity Senior Data Engineers are the builders for the business. You are recruited early and help stand up the managed foundation alongside the architect, then build the data products that ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Ontario

Senior Data Engineer information

See Ontario salary details

$77K

$137.9K

$187K

How much do senior data engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for senior data engineer in Ontario is $137,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $156,000.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, cloud platforms, and data pipeline tools, which can influence compensation levels.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.
What are the most commonly searched types of Data Engineer jobs in Ontario? The most popular types of Data Engineer jobs in Ontario are:
What are popular job titles related to Senior Data Engineer jobs in Ontario? For Senior Data Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer jobs in Ontario look for? The top searched job categories for Senior Data Engineer jobs in Ontario are:
What cities in Ontario are hiring for Senior Data Engineer jobs? Cities in Ontario with the most Senior Data Engineer job openings:
What are popular job titles related to Senior Data Engineer jobs in ON? For Senior Data Engineer jobs in ON, the most frequently searched job titles are:
Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Ontario as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $137,866 per year, or $66.3 per hour.

Senior Data Engineer

CorGTA

Toronto, ON • Hybrid

CA$100/hr

Contractor

Re-posted 5 days ago

Job description

Role: 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 Loyalty Sector clients in a contract capacity!

Please see below for more information on the position and if interested, apply with an updated resume aligned to the needs of the role.


Responsibilities
  • Design, build and deploy scalable data engineering pipelines using Snowflake, AWS and Matillion
  • Develop high-quality, reusable and maintainable data solutions following engineering best practices
  • Build API-driven integrations between enterprise data platforms and Salesforce Data Cloud (CDP/Data 360) and Salesforce Loyalty Management
  • Develop automation solutions that reduce manual operational effort through CI/CD and GitHub workflows
  • Build and optimize data pipelines using Python, SQL and modern cloud technologies
  • Develop and maintain AWS Lambda functions and other serverless components
  • Work closely with business stakeholders to understand requirements and translate them into scalable technical solutions
  • Collaborate with Data Engineers, Analytics teams, Product Owners and Business Analysts throughout design, development, testing and deployment
  • Participate in QA activities and ensure data quality across all pipelines
  • Contribute to engineering standards, documentation and continuous improvement initiatives
  • Support cloud-native, event-driven architectures where appropriate
Required Experience
  • 10+ years of experience across Data Engineering, Software Engineering, Cloud Engineering or related disciplines
  • 5+ years working as a Senior Data Engineer or equivalent senior individual contributor
  • Expert SQL skills with extensive experience in Snowflake
  • Strong experience with Snowflake Notebooks
  • Advanced Python programming skills
  • Strong AWS experience including:
    • Lambda
    • S3
    • IAM
    • Cloud-native services
  • Experience building enterprise-scale Data Warehouses and Data Lakes
  • Strong experience building and consuming REST APIs
  • Experience integrating enterprise data into Salesforce platforms or similar SaaS applications
  • Strong understanding of CI/CD pipelines using GitHub
  • Experience with software engineering best practices, version control and deployment automation
  • Excellent communication skills with the ability to interact directly with business stakeholders
--

CorGTA is an equal opportunity employer, please apply with an updated resume and ensure the required skills you are able to speak to for this position are included.

At times, CorGTA or itsclient partners may utilize AI tools to assist with the hiring processes.

By submitting your application, you consent to be contacted by CorGTA via email, SMS, or phone regarding current and future opportunities, and acknowledge our collection and use of your personal information in accordance with our Privacy Policy and Terms of Service: www.corgta.com/privacy-policy

For more roles like this, please go towww.corgta.com/find-a-job/