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Snowflake Jobs in Quebec (NOW HIRING)

Maarut

Knowledge of Snowflake and AWS S3(Representative) \n * DevOps: GitHub, Jenkins, Kubernetes (Evaluate overall DevOps maturity) \n * Strong AWS cloud ecosystem knowledge \n Required \n \n * 5+ years of ...

HollisWealth

Data Engineer

Quebec, QC · Hybrid

Developing, testing, deploying, and industrializing machine learning and AI models in cloud environments (Azure, Snowflake, Databricks). * Implementing and maintaining DevOps and MLOps practices ...

Jay Analytix

AI Engineer - Banking Domain

Montreal, QC · On-site

Experience with SQL and distributed data platforms (Spark, Databricks, or Snowflake). GOOD TO HAVE * Azure AI-102, AWS ML Specialty, or Google Professional ML Engineer certification. * Exposure to ...

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HollisWealth

Data Engineer

Montreal, QC · Hybrid

Developing, testing, deploying, and industrializing machine learning and AI models in cloud environments (Azure, Snowflake, Databricks). * Implementing and maintaining DevOps and MLOps practices ...

Pelmorex

Senior Data Engineer, Hybrid

Montreal, QC · Hybrid

You will design and fine-tune high-performance cloud storage solutions across BigQuery, Snowflake, PostgreSQL and GCS, optimizing for cost, performance, and reliability. * Own Data Quality & Rigor:

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How much do snowflake jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for snowflake in Quebec is $69.28, according to ZipRecruiter salary data. Most workers in this role earn between $58.89 and $78.61 per hour, depending on experience, location, and employer.

What are some common challenges faced by Snowflake professionals, and how can they be addressed?

Snowflake professionals often encounter challenges such as optimizing query performance, managing data security and access controls, and integrating Snowflake with multiple data sources. Addressing these challenges requires continuous learning about the platform’s evolving features, proactively monitoring query and storage usage, and collaborating closely with data architects, DevOps, and IT security teams. Staying up to date with best practices and regularly attending Snowflake community webinars or training can also be extremely helpful. Most companies encourage knowledge sharing and collaboration, so being proactive in problem-solving will help you thrive in this role.

Is Snowflake a good career?

A career as a Snowflake professional typically involves working with cloud data platforms, data warehousing, and SQL skills. It offers opportunities in data engineering, analytics, and cloud computing, with demand driven by the growth of data-driven decision making. Certifications and experience with cloud environments can enhance job prospects in this field.

What is a Snowflake job?

A Snowflake job typically refers to tasks executed within Snowflake, a cloud-based data platform. These jobs can include data loading, transformation, querying, or scheduled tasks using Snowflake's task and stream features. They help automate data workflows, improve performance, and ensure efficient data management within the Snowflake ecosystem.

How much do Snowflake employees make?

Salaries for Snowflake employees vary by role, experience, and location, but the average base salary ranges from approximately $100,000 to $150,000 annually for many positions. Technical roles such as data engineers and software engineers tend to be higher, often exceeding $120,000, with additional compensation like bonuses and stock options common in the company’s compensation packages.

Is Snowflake skill in demand?

Snowflake skills are highly in demand as organizations increasingly adopt cloud data warehousing solutions. Professionals with expertise in Snowflake, along with knowledge of SQL and data management, often find strong job opportunities across various industries.

How hard is it to get a job at Snowflake?

Getting a job as a Snowflake professional typically requires relevant technical skills such as data warehousing, SQL, and cloud platforms, along with experience in data management or analytics. The hiring process often involves multiple interview rounds assessing technical knowledge, problem-solving ability, and cultural fit, making it competitive but achievable with proper preparation.

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

To thrive as a Snowflake professional (such as a Snowflake Data Engineer or Administrator), you need a solid understanding of cloud data warehousing, SQL, and data modeling, typically supported by a degree in computer science or related fields. Experience with the Snowflake platform, data integration tools (like Informatica or Talend), and relevant certifications such as SnowPro are highly valuable. Strong problem-solving abilities, communication skills, and adaptability help professionals translate business requirements into data solutions and work effectively with cross-functional teams. These competencies are crucial for optimizing data workflows, ensuring system performance, and supporting the data-driven goals of an organization.

What are the most commonly searched types of Snowflake jobs in Quebec? The most popular types of Snowflake jobs in Quebec are:
What are popular job titles related to Snowflake jobs in Quebec? For Snowflake jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Snowflake jobs in Quebec look for? The top searched job categories for Snowflake jobs in Quebec are:
Snowflake jobs near you
Infographic showing various Snowflake job openings in Quebec as of June 2026, with employment types broken down into 51% Part Time, and 49% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $144,104 per year, or $69.3 per hour.

Business Analyst - Artificial Intelligence

BBA, Inc.

Mont-saint-hilaire, QC

Other

Posted 25 days ago

Job description

Your future role on our team
Join BBA and put your expertise to work as an IT businessanalyst in artificial intelligence (AI), where you'll actively help improve theuser experience by leveraging, integrating and managing corporate AI solutionssuch as Microsoft 365 Copilot and various organizational AI assistants.


Your collaborative spirit and ability to positively influenceyour environment will be key every day, whether you're helping evolve how toolsare used, optimizing systems or contributing to cross-functional initiatives.This role will give you the opportunity to take the lead while being at theheart of the action, working closely with passionate and dedicated colleagues.
With us, you'll get the opportunity to...

  • Ensure optimal operation of AI solutions in production by maintaining performance, output quality and user support
  • Manage access, licences and evolving allocation rules based on business needs
  • Oversee data usage and select appropriate sources to support AI use cases effectively and securely
  • Help establish controlled environments to support innovation initiatives
  • Help design and improve AI architecture and orchestration, including agents, data flows, integrations and connectors
  • Work with IT teams to design and document integrations between AI solutions and enterprise systems (e.g., Microsoft 365, Snowflake, M-Files)
  • Monitor performance, adoption and costs, and recommend practical ways to optimize solutions
  • Maintain a comprehensive view of AI solutions (inventory, vendors, risks) and identify new opportunities for improvement

Do your qualities and values match ourcorporate culture?

  • Results-driven
  • Willingness to work together while having fun
  • Rigorous and ethical
  • Strong interest in the world of technology
  • Fascination for innovation
  • Interest in solving the most complex challenges

Apply