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Remote Snowflake Jobs in Toronto, ON (NOW HIRING)

Sangoma

Analytics Engineer, Enterprise Data

Toronto, ON · Remote

Cloud data warehouses such as Snowflake, Redshift, or equivalent * ERP and CRM platforms such as NetSuite and Salesforce * Working with modern data platforms / lakehouse environments * dbt or similar ...

Sangoma

Analytics Engineer, Enterprise Data

Toronto, ON · Remote

Cloud data warehouses such as Snowflake, Redshift, or equivalent * ERP and CRM platforms such as NetSuite and Salesforce * Working with modern data platforms / lakehouse environments * dbt or similar ...

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

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

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 · Remote

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.

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.

Teledyne

LiDAR Data Analyst (Co-op)

Concord, ON · On-site +1

CA$46K - CA$61K/yr

This role offers a unique opportunity to gain hands-on experience with advanced mapping, remote sensing, and sensor technologies while working alongside engineers, scientists, and software developers ...

New

TripleTen

Subject Matter Expert

Toronto, ON · Remote

Our team is fully remote and globally distributed, and we serve a large, active student base across both regions. We're looking for the person who brings a Forward Deployed Engineering curriculum to ...

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All JobsSnowflake JobsRemote Snowflake JobsRemote Snowflake Jobs in Toronto, ON

Remote Snowflake information

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.

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 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 a work-from-home or remote work option, allowing employees to perform their duties outside of a traditional office setting. The specific remote work policy may vary by role and team, but remote work is common for roles involving data management, cloud platforms, and collaboration tools. Candidates should review the job listing or contact the employer for detailed policy information.

Does remote Snowflake hire remotely?

Remote Snowflake roles are often available, as the company supports remote work for many positions, especially those related to data engineering, analytics, and cloud infrastructure. Candidates should review specific job postings for location requirements and remote work policies, which can vary by role and team. Skills in Snowflake, SQL, and cloud platforms are typically essential for these positions.

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 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 73% Physical, 9% Hybrid, and 18% Remote job distribution.

Senior Data Engineer - Machine Learning & Data Platforms - REMOTE

Talent To Hire Inc.

Toronto, ON • Remote

CA$125K - CA$140K/yr

Full-time

Re-posted 17 days ago

Job description

Senior Data Engineer- Machine Learning & Data Platforms | Remote

Our client is building the next generation of industrial intelligence, transforming complex automotive and industrial data into real-time, actionable insights powered by machine learning. This is a FT remote position. You can work from Toronto, Ottawa or Montreal.

We are seeking an experienced Data Engineer who thrives in high-scale, production ML environments and enjoys working with complex, messy datasets to build reliable, scalable data foundations for advanced analytics.

You will join a team of 13 engineers and data professionals, working in a highly collaborative, fast-moving environment. The role is remote-friendly, with strong cross-functional interaction across engineering, data science, and business teams.

What You’ll Do

  • Design, build, and maintain scalable data pipelines and ETL processes for large structured and unstructured datasets

  • Develop and optimize Spark-based data workflows supporting production ML systems

  • Collaborate closely with data scientists, ML engineers, and business stakeholders

  • Translate complex business needs into scalable, production-grade data solutions

  • Build feature engineering pipelines for time-series and predictive models

  • Ensure data quality, governance, security, and reliability across systems

  • Continuously improve data architecture, performance, and scalability

What You Bring

  • Min. 6+ years in data engineering or ML data pipeline development

  • Strong experience with Apache Spark, PySpark, Databricks, Delta Lake

  • Advanced skills in Python, SQL, and Airflow

  • Deep understanding of Medallion architecture and ETL design patterns

  • Experience building time-series features (rolling windows, lags, trend indicators)

  • Ability to work closely with ML teams and translate data into model-ready structures

  • Bachelor’s or Master’s in Computer Science, Engineering, or related field

⭐ Preferred Experience - we will highly consider candidates with below skills;

  • Background in retail, e-commerce, or supply chain environments dealing with large, messy, high-volume datasets

  • Experience working directly with machine learning teams or supporting ML model development

  • Hands-on experience in forecasting, demand planning, or similar data-heavy business domains

  • Experience integrating data from ERP/CRM/WMS systems (SAP, Oracle, legacy platforms)

  • Exposure to feature stores or ML training/serving consistency frameworks

  • Experience with IBM DataStage or legacy ETL modernization projects

  • Experience scaling distributed ML or time-series models in production environments

Why This Role

This is a strong fit for someone who enjoys working in complex, real-world data environments, especially with messy, high-volume retail-style data and close collaboration with ML teams. Retail or similar domains are highly valued.

APPLY: sasha@talenttohire.com