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Sr Data Engineer Jobs in Toronto, ON (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 · Remote

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 ...

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

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 ...

Morningstar, Inc.

Senior Data Engineer

Toronto, ON

CA$90K - CA$132K/yr

We are looking for a Senior Data Engineer with a minimum of 5+ years of experience in designing and implementing scalable, end-to-end data engineering solutions. The ideal candidate should have ...

Royal Bank of Canada

Senior Data Engineer

Toronto, ON · On-site

As Senior Data Engineer in the Investor & Treasury Services Data Engineering team within Technology and Operations, you will design, implement, and support enterprise data architecture and best ...

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 ...

Sun Life Financial

Senior Data Engineer

Toronto, ON · On-site

This Senior Business data engineer will play an indispensable role in assembling the necessary data products that fuel myriads of analytical models used by our various business units across Canada.

Sun Life Financial

Senior Data Engineer

Toronto, ON

This Senior Business data engineer will play an indispensable role in assembling the necessary data products that fuel myriads of analytical models used by our various business units across Canada.

Scotiabank

Senior Data Engineer

Toronto, ON

We are seeking an experienced Senior Data Engineer with deep expertise in Google Cloud Platform (GCP) to join our growing team. In this role, you will be responsible for designing, building, and ...

Rumble

Senior Data Engineer

Toronto, ON · On-site

CA$149K - CA$170K/yr

Rumble is seeking a Senior Data Engineer to design, build, and operate the data platforms and backend systems that support large-scale product, analytics, and operational workloads. This is a senior ...

Ci

Senior Data Engineer

Toronto, ON

CA$69K - CA$119K/yr

We are currently seeking a Senior Data Engineer to join the Data, AI & Analytics (DNA) Team. A successful data engineering candidate will demonstrates a deep understanding of database concepts, data ...

Royal Bank of Canada

Senior Data Engineer

Toronto, ON · On-site

We are looking for an experienced and visionary Senior Data Engineer to work on advanced ML initiatives-design, develop, and optimize data solutions, ensuring the delivery of the high quality data ...

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Sr Data Engineer information

What is a Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

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

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

What is the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

What are popular job titles related to Sr Data Engineer jobs in Toronto, ON?

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

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

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

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

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

Sr Data Engineer jobs near you
Infographic showing various Sr Data Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Senior Data Engineer

CorGTA

Toronto, ON • Hybrid

CA$100/hr

Contractor

Re-posted 27 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/