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Remote Snowflake Jobs in Toronto, ON (NOW HIRING)

TalentVault

IAM Specialist

Concord, ON · Remote

CA$80 - CA$110/hr

Remote - Toronto/GTA Travel - N/A Languages: English Rate: $80-110/hr Description * Strong ... Exposure to Snowflake access architecture and security model is considered an asset. We do not ...

Fusemachines

Senior Data Engineer

Toronto, ON · Remote

Remote Full-time Senior Data Engineer Are you an experienced Data Engineering professional with a ... Expert knowledge of data modeling (3NF, Star, Snowflake Schema) and Lakehouse/Warehouse ...

Tiger Analytics Inc.

GenAI Data Engineer

Toronto, ON · Remote

Leverage Snowflake's unstructured data capabilities (Directory Tables, Scoped URLs, Snowpark) to make "dark data" queryable and actionable. * Build and maintain cloud-native ETL/ELT processes using ...

Pelmorex

Enterprise Account Executive

Oakville, ON · On-site +1

Please note, despite being a remote role, it requires you to be located in and be eligible to work ... Familiarity with cloud ecosystems and marketplaces such as Snowflake, GCP, and Azure is strongly ...

Quantiphi, Inc.

Full Stack Developer

Toronto, ON · Remote

... and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real ... US East/Canada (Remote) Role Overview: We're looking for a Full Stack Software Developer to design ...

Pelmorex

Strategic Account Executive

Oakville, ON · Remote

Remote (Canada/US), with travel required to key customers within your territory. Please note ... Familiarity with cloud ecosystems and marketplaces such as Snowflake, GCP, and Azure is strongly ...

LocalStack

Head of Product

Toronto, ON · Remote

... and remote team members from 25 countries including 🇺🇸the US, 🇫🇷FR, 🇬🇧UK ... AWS, Snowflake and Azure emulators * Expand the product suite: introduce, position and grow new ...

Sangoma

AI Data Engineer

Toronto, ON · Remote

Snowflake or other cloud data platforms * AI and machine learning data pipelines * ERP and CRM platforms such as NetSuite and Salesforce * Search and vector database technologies Benefits What We ...

Spscommerce

Software Engineer

Brampton, ON · On-site +1

CA$83K - CA$125K/yr

Experience with at least one big data processing platform (Databricks, Snowflake, Apache Spark ... We are also open to remote candidates located anywhere within Canada. What We Offer: At SPS ...

Autodesk

Senior Data Analyst

Toronto, ON · On-site +1

We are open to remote candidates based in Canada. Responsibilities * Own analytics projects from ... Experience with Snowflake * Experience working in Python or R * Familiarity with AI-assisted ...

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All JobsSnowflake JobsRemote Snowflake JobsRemote Snowflake Jobs in Toronto, ON

Remote Snowflake information

Is it hard to get hired at Snowflake?

Getting hired for a remote Snowflake role can be competitive, as the company seeks candidates with strong data warehousing skills, cloud platform experience, and proficiency in SQL and Python. Candidates often go through multiple interview rounds assessing technical knowledge and problem-solving abilities. Having relevant certifications and a solid understanding of cloud environments can improve chances of success.

Are Snowflake jobs in high demand?

Snowflake-related jobs, including roles like data engineers and analysts, are in high demand due to the increasing adoption of cloud data platforms. Skills in SQL, cloud computing, and data warehousing are highly sought after, and many organizations are hiring for these positions to support data-driven decision making.

What are the key skills and qualifications needed to thrive in the Remote Snowflake position, and why are they important?

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 job?

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.

How to make $80,000 a year working from home?

A remote Snowflake professional can earn $80,000 or more annually by gaining expertise in data warehousing, SQL, and cloud platforms, often requiring certifications like Snowflake Certified Data Engineer. Building a strong portfolio, demonstrating technical skills, and working for companies that offer remote roles with competitive salaries can help achieve this income level.

Does Snowflake offer remote jobs?

Yes, Snowflake offers remote job opportunities across various roles, including positions in data engineering, software development, and sales. Many of these roles are fully remote or have flexible work arrangements, often requiring familiarity with cloud platforms and data tools.

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.

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 July 2026, with employment types broken down into 78% Full Time, 6% Part Time, and 16% Contract. Highlights an 43% Physical, 3% Hybrid, and 54% Remote job distribution.
Data Engineer - Snowflake

Data Engineer - Snowflake

Tiger Analytics Inc.

Toronto, ON • Remote

Full-time

Posted 14 days ago

Job description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities. The right candidate will have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards, be comfortable using visualization tools, and be able to apply your skills to generate insights that help solve business challenges. We are looking for someone who can bring their vision to the table and implement positive change in taking the company's data analytics to the next level.

Requirements

  • 12+ years of overall industry experience specifically in data engineering with a heavy focus on the AWS Cloud stack and AI.
  • 8+ years of experience building and deploying large-scale data processing pipelines in a production environment.
  • Advanced proficiency in Python, SQL, and PySpark.
  • Creating and optimizing complex data processing and data transformation pipelines using python
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • Deep experience with Snowflake/Databricks on AWS, dbt, and distributed computing frameworks like Apache Spark.
  • Understanding of Datawarehouse (DWH) systems, and migration from DWH to data lakes/Snowflake
  • Understanding of ELT and ETL patterns and when to use each. Understanding of data models and transforming data into the models
  • Strong analytic skills related to working with unstructured datasets
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management
  • Experience supporting and working with cross-functional teams in a dynamic environment

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.