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Sr Data Engineer Jobs in Vaughan, ON (NOW HIRING)

Senior Data Engineer

Toronto, ON ยท 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 ...

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 ...

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 ...

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 ...

Senior Data Engineer Rate : $60-70/hr T4; $70-80/hr INC Length : 6 months (strong potential for extension) Location : Downtown Toronto (1-2 days onsite) Your New Company Join a high-performing, data ...

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.

We are looking for a Senior Data Engineer to join our team in Markham, Ontario, Fredericton, New Brunswick or remotely from a location in Canada. This role will be instrumental in building and ...

New

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 ...

Senior Data Engineer

Toronto, ON ยท 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 ...

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 ...

Senior Data Engineer (Financial Analytics & Data Platforms) Location: Flexible / Hybrid Industry: Environmental Services Department: Data & Analytics Position Overview We are seeking a highly skilled ...

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 ...

New

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 ...

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 ...

We are seeking a Senior Data Engineer to help design and build the next generation of our Data Platform as we continue to scale to larger customers and new jurisdictions. At Alpaca, Data Engineering ...

As a Senior Data Engineer , you will own Nimble's data platform - the layer that every other team builds on to understand the business, ship product features, and meet our compliance obligations. The ...

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Showing results 1-20

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

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

Infographic showing various Sr Data Engineer job openings in Vaughan, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% Hybrid, and 50% Remote job distribution.

Senior Data Engineer

Toronto, ON โ€ข Hybrid

CA$100/hr

Contractor

Re-posted 19 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
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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.

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