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Senior Amazon Data Engineer Jobs in Toronto, ON (NOW HIRING)

Coforge

Sr. Data Engineer

Markham, ON · Hybrid

Job Title: Sr. Data Engineer with Snowflake and DBT Skills: Snowflake, DBT ,Python/ Java, SQL ... Deep knowledge of relational databases (Snowflake, PostgreSQL, Amazon Aurora) * Data Visualization ...

New

Adastra

Senior AWS Data Engineer

Thornhill, ON · Hybrid

Configure and manage Amazon Athena Workgroups and related data access mechanisms * Use Terraform to ... Previous experience in a technical lead or senior engineering capacity ABOUT ADASTRA Adastra is a ...

GFL Environmental

Data Engineer

Vaughan, ON

Design and implement data storage solutions using AWS data services such as Amazon RDS, Amazon ... Strong programming skills in languages such as Python, SQL, and Java. Data Modeling and ETL ...

Pacer Group

AWS Data Engineer

Toronto, ON · Hybrid

Job Title: AWS Data Engineer Location: Toronto, ON Work Arrangement: Hybrid-3 Days onsite ... Experience with Amazon S3, AWS Glue Data Catalog, Amazon EMR, EC2, Serverless services, Apache ...

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 ...

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.

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.

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 ...

Bits In Glass

Sr. Data Engineer

Toronto, ON · Remote

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

Bits In Glass

Sr. Data Engineer

Toronto, ON · On-site

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 ...

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 ...

Hays

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 ...

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Senior Amazon Data Engineer information

What does a senior Amazon data engineer do?

A Senior Amazon Data Engineer is responsible for designing, building, and maintaining large-scale data processing systems on Amazon Web Services (AWS) infrastructure. They work with big data technologies, such as Amazon Redshift, AWS Glue, and Amazon S3, to ensure data is efficiently collected, stored, and made accessible for analytics and business intelligence. Additionally, they often lead data engineering teams, optimize data pipelines for performance, and ensure data quality and security standards are met.

What are some common challenges faced by senior Amazon data engineers when working with large-scale datasets?

Senior Amazon Data Engineers often encounter challenges related to optimizing the performance of data pipelines and ensuring data quality at scale. Managing and transforming massive volumes of data requires expertise in distributed systems, efficient data modeling, and automating data validation processes. Additionally, collaborating with cross-functional teams—such as data scientists, analysts, and software engineers—means balancing differing requirements and priorities while maintaining robust, scalable solutions. Staying current with evolving AWS services and best practices is also essential to address these challenges effectively.

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

To thrive as a Senior Amazon Data Engineer, you need advanced proficiency in data modeling, ETL development, SQL, and experience with large-scale data architectures, typically supported by a computer science degree or equivalent. Expertise in AWS services (such as Redshift, S3, Glue), programming languages like Python or Java, and relevant certifications (e.g., AWS Certified Data Analytics) are commonly required. Strong problem-solving abilities, effective communication, and leadership skills distinguish top performers in this role. These skills ensure the efficient design, implementation, and optimization of complex data solutions that drive business insights and support organizational goals.

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

AspectSenior Amazon Data EngineerAmazon Data Engineer
Required CredentialsTypically requires 5+ years experience, advanced SQL, AWS certificationsEntry to mid-level, foundational SQL, AWS certifications beneficial
Work EnvironmentDesigning complex data pipelines, mentoring, strategic projectsBuilding and maintaining data pipelines, data analysis
Employer & Industry UsageUsed in large-scale data teams within Amazon and similar tech companiesCommon in tech companies, e-commerce, and cloud service providers

The main difference between a Senior Amazon Data Engineer and an Amazon Data Engineer lies in experience, responsibilities, and project complexity. Senior roles involve strategic planning, mentoring, and handling complex data systems, while entry-level roles focus on building and maintaining data pipelines. Both roles require AWS knowledge and data engineering skills, but senior positions demand more experience and leadership capabilities.

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

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

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

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

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

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

Senior Amazon Data Engineer jobs near you
Infographic showing various Senior Amazon 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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