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

Job Title: Sr. Data Engineer with Snowflake and DBT Skills: Snowflake, DBT ,Python/ Java, SQL Experience: 12+ years Location: Markham, ON (Hybrid) Duration: Fulltime We at Coforge are hiring a Sr. ...

New

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, 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 ...

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

Toronto, ON · On-site

CA$70 - CA$80/hr

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 ...

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 ...

We're seeking a Senior Data Engineer to join our Delivery Team. In this role, you'll design and implement modern data architectures that enable our clients to make data-driven decisions. You'll lead ...

New

We're seeking a Senior Data Engineer to join our Delivery Team. In this role, you'll design and implement modern data architectures that enable our clients to make data-driven decisions. You'll lead ...

New

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.

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 · 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

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 ...

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.

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.

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 ...

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

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

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.

Sr. Data Engineer

Coforge

Markham, ON • Hybrid

Full-time

This job post has expired today. Applications are no longer accepted.


Coforge rating

6.8

Company rating: 6.8 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

165th of 226 rated it services


Job description

Job Title: Sr. Data Engineer with Snowflake and DBT

Skills: Snowflake, DBT ,Python/ Java, SQL

Experience: 12+ years

Location: Markham, ON (Hybrid)

Duration: Fulltime


We at Coforge are hiring a Sr. Data Engineer with Snowflake and DBT with following skillset :

  • 10+ years of professional experience delivering over 10 high-impact data projects from inception through warranty.
  • 5+ years of Snowflake, dbt Core/Cloud, and AWS Cloud Technologies.
  • 5+ years of experience with coding in multiple programming languages such as Python, Java, etc.
  • Technical Expertise: Deep knowledge of relational databases (Snowflake, PostgreSQL, Amazon Aurora)
  • Data Visualization Proficiency: Skilled in tools such as Snowsight, Streamlit, Qlik, and SAP BusinessObjects to communicate insights effectively.


Advanced Coding Skills:

  • Expert-level proficiency in SQL, Python, Shell, and Terraform, with a strong focus on performance, reusability, and maintainability.
  • Presentation & Communication: Strong technical and business presentation skills; able to identify and address gaps in data designs and processes with both internal and external stakeholders.
  • Pipeline & Orchestration Tools: Hands-on experience with orchestration tools like Zena and AWS Managed Airflow.
  • Resilience & Adaptability: Proven ability to thrive in fast-paced, ambiguous, and high-pressure environments.


Required Certifications (having 2 Or More Is an Asset)

  • SnowPRO Core,
  • SnowPRO Advanced Data Engineer (DEA-C01, DEA-C02),
  • SnowPro® Advanced: Architect (ARA-C01),
  • DBT Developer,
  • AWS Cloud Practitioner



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