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Remote Snowflake Jobs in Toronto, ON (NOW HIRING)

McKesson

Manager, Data Analytics

Mississauga, ON · Remote

Advanced experience leveraging Databricks, Snowflake, and SQL to develop scalable analytical datasets, models, and reporting solutions. * Strong proficiency with Power BI to deliver executive-ready ...

McKesson

Senior / Lead Data Engineer

Mississauga, ON · On-site +1

Specific experience with Snowflake, Databricks, Azure data factory,PySpark,Analytical SQL,Splunk , Alation , R, Python .Experience with SAP and IBM DataStage is also extremely beneficial.

McKesson

Lead, Data Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

Databricks, Snowflake, Azure Data Factory * Confluent Kafka / Azure Event Hub * PySpark and analytical SQL * Power BI and/or Tableau * Apache Airflow, dbt, Alation * Strong understanding of data ...

McKesson

Lead, Data Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

Databricks, Snowflake, Azure Data Factory * Confluent Kafka / Azure Event Hub * PySpark and analytical SQL * Power BI and/or Tableau * Apache Airflow, dbt, Alation * Strong understanding of data ...

McKesson

Senior / Lead Data Engineer

Mississauga, ON · On-site +1

Specific experience with Snowflake, Databricks, Azure data factory,PySpark,Analytical SQL,Splunk , Alation , R, Python .Experience with SAP and IBM DataStage is also extremely beneficial.

Mercor

Data Engineer - AI Model Evaluation

Toronto, ON · Remote

CA$80/hr

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data engineering tasks. * Review model-generated implementations involving ETL pipelines , data ...

Mercor

Data Engineer - AI Coding Expert

Toronto, ON · Remote

CA$80/hr

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data engineering tasks. * Review model-generated implementations involving ETL pipelines , data ...

Veem

Data Engineer, BI & Reporting

Toronto, ON · Remote

Fully Remote (Canada, EST time zone) Compensation: Salary + Bonus + Health Benefits About Veem Veem is transforming global money movement. Traditional cross-border payments are slow, expensive, and ...

Miratech

Genesys Cloud Architect

Toronto, ON · Remote

  • Medical

... comes with remote work. * Growth Mindset : reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs ...

Scotiabank

Cloud Platform Engineer

Toronto, ON · On-site +1

  • PTO

We'd love to work with you if you have: * 3+ Years of hands-on experience with Terraform and Infrastructure as Code (IaC) practices including modular design, remote state management, module ...

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All JobsSnowflake JobsRemote Snowflake JobsRemote Snowflake Jobs in Toronto, ON

Remote Snowflake information

What are the key skills and qualifications needed to thrive in the remote Snowflake position?

To thrive as a Remote Snowflake Data Engineer or Developer, you typically need strong SQL skills, data modeling expertise, and experience with Snowflake's cloud data platform, often supported by a background in computer science or a related field. Familiarity with ETL/ELT tools, cloud platforms (such as AWS, Azure, or Google Cloud), and relevant certifications like SnowPro Core Certification are highly valued. Excellent communication, problem-solving skills, and the ability to work independently are essential for remote collaboration and project delivery. These competencies ensure that you can design, implement, and optimize data solutions efficiently while contributing effectively to distributed data teams.

What is a remote Snowflake?

A Remote Snowflake job involves working with Snowflake, a cloud-based data platform, in a remote setting. Professionals in these roles typically design, develop, and manage data solutions using Snowflake's architecture, SQL, and integration tools. Common responsibilities include data modeling, optimizing queries, and ensuring data security. Employers look for experience in cloud platforms like AWS, Azure, or GCP, along with expertise in ETL processes and analytics. These roles offer flexibility while requiring strong collaboration with data engineers and analysts.

Does Remote Snowflake hire remotely?

Remote Snowflake positions are often available for remote work, depending on the role and company policies. Many companies that use Snowflake for data warehousing offer remote opportunities, especially for roles involving data engineering, analytics, and cloud infrastructure. Candidates should review specific job postings for remote work options and requirements.

What are typical challenges faced by remote Snowflake professionals, and how can they be addressed?

Remote Snowflake professionals often face challenges related to cross-team communication, data security, and managing complex cloud-based architectures across different time zones. Staying organized and setting clear documentation practices can help mitigate misunderstandings when collaborating on data modeling or ETL processes. Since troubleshooting and optimizing data pipelines may require quick responses, proactive communication and establishing overlapping work hours with the team are beneficial. Additionally, investing in continuous education on Snowflake updates and security best practices helps prevent issues and supports career growth in the evolving cloud data landscape.

Does Remote Snowflake have a work from home policy?

Remote Snowflake positions typically offer flexible work arrangements, including the option to work from home, depending on the role and team requirements. Many remote roles in data and cloud environments prioritize virtual collaboration tools and asynchronous communication. Candidates should review specific job postings for detailed work-from-home policies.

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

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

What are popular job titles related to Remote Snowflake jobs in Toronto, ON?

For Remote Snowflake jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Remote Snowflake jobs in Toronto, ON look for?

The top searched job categories for Remote Snowflake jobs in Toronto, ON are:

Remote Snowflake jobs near you
Infographic showing various Remote Snowflake job openings in Toronto, ON as of August 2026, with employment types broken down into 80% Full Time, 11% Part Time, and 9% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution.

Data Engineering Specialist - Fully Remote | Upto $80/hr

Mercor

Toronto, ON • Remote

CA$80/hr

Full-time

Posted 5 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Data Engineer (Coding Agent Experience)
Type: Contract
Compensation: $80/hour
Location: Remote

Role Responsibilities

  • Use frontier AI coding agents to complete and evaluate complex data engineering tasks.
  • Review model-generated implementations involving ETL pipelines, data warehouses, analytics platforms, and distributed data systems.
  • Identify bugs, edge cases, scalability issues, and failure modes in model outputs.
  • Compare outputs from multiple frontier models and assess their strengths and weaknesses.
  • Apply professional engineering judgment to realistic data engineering scenarios.

Qualifications

Must-Have

  • 2+ years of professional data engineering experience.
  • Experience building ETL pipelines, data warehouses, analytics platforms, or distributed data systems.
  • Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
  • Ability to evaluate model-generated data infrastructure and pipeline implementations.

Preferred

  • Experience operating large-scale data platforms.

Compensation & Legal

  • $400 per accepted task.
  • Compensation is tied to accepted work.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.