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Senior 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. ...

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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 ...

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 ...

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 ...

Senior Data Engineer

Toronto, ON · On-site

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 ...

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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Senior Data Engineer information

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 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.

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 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 do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

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

The most popular types of Data Engineer jobs in Toronto, ON are:

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

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

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

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

Infographic showing various Senior 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 3 days ago. 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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