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Snowflake Jobs in Quebec (NOW HIRING)

Ts Imagine

Semantic Modeler

Montreal, QC · On-site

You'll be part of our dynamic Data & Analytics Office, a globally distributed, high-impact team that processes trillions of data points and manages our cutting-edge data lake built on Snowflake. This ...

Ts Imagine

AI Solutions Developer

Montreal, QC · On-site

You'll be part of our dynamic Data & Analytics Office, a globally distributed, high-impact team that processes trillions of data points and manages our cutting-edge data lake built on Snowflake. This ...

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 ...

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 ...

Ts Imagine

Developpeur(-euse) analytique

Montreal, QC · On-site

Ce que vous apportez Excellente maitrise du SQL et experience pratique avec Snowflake. Maitrise de Python, incluant la capacite a contribuer a des bases de code structurees et pretes pour la ...

Ubisoft

Data Developer

Montreal, QC · On-site

Hands-on experience with cloud data platforms such as Databricks or Snowflake * Proficiency with Git for version control and collaboration * Expertise in ELT design and optimization * Experience ...

Intelcom

Data Engineering Intern

Montreal, QC · On-site

Familiarity with Cloud Technologies (Azure and AWS), Snowflake, Apache Airflow, Power BI and DBT is an asset * Strong organizational skills and ability to manage multiple projects with accuracy

Ubisoft

Développeur · euse de données

Montreal, QC · On-site

Expérience avec des plateformes de données infonuagiques , telles que Databricks ou Snowflake * Bonne maîtrise d'un outil de gestion de versions, tel que Git * Compétences en conception de ...

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Snowflake information

See Quebec salary details

$15

$69

$100

How much do snowflake jobs pay per hour?

As of Sep 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 is a Snowflake?

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.

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

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 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.

Does Snowflake offer remote jobs?

Snowflake offers remote job opportunities for various roles, including data engineers, analysts, and software engineers. Many positions are fully remote or have flexible work arrangements, often requiring proficiency with cloud platforms and collaboration tools. Candidates should review specific job listings for location and remote work options.

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 continuous learning can enhance job prospects in this field.

What exactly does Snowflake do?

A Snowflake professional typically works with the Snowflake data platform, which is a cloud-based data warehousing service. They manage data integration, optimize queries, and ensure data security within the platform, often using SQL and cloud infrastructure skills. The role involves supporting data analytics and business intelligence initiatives.

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 August 2026, with employment types broken down into 38% Full Time, and 62% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $144,104 per year, or $69.3 per hour.

Manager Ground Operations Data and Systems

IATA

Montreal, QC • On-site

Full-time

Re-posted 14 days ago

Job description

About the team you are joining

The Ground Operations team drives global development, implementationand adoption of the standards and best practices for ground and baggage operations. The area of work includessafety, innovation, efficiency, and sustainability. Ourteam is results-driven, energetic, and hardworking, consisting of junior andsenior talents with extensive operational, baggage, safety, audit, andleadership experience.

What your day would be like

You will report to the Senior Manager GSE Management and Ramp Automation, and you will:
Act as the Ground Operations Data Steward by managing data quality, coordinating the resolution of data warehouse issues, and ensuring the integrity, consistency, and availability of business data.
Monitor data pipelines to identify issues, ensure stability, and continuously improve data and analytics processes.
Drive the integration of data across multiple business systems and data warehouses, using SQL, Snowflake, and data catalog tools (e.g., Collibra) to retrieve, validate, and govern data.
Define business requirements for Power BI dashboards, translating business needs into meaningful KPIs and metrics that enable performance tracking, benchmarking, and actionable business insights.
Drive effective use, maintenance, and enhancement of multiple Ground Operations tools and systems (e.g. Salesforce, Intelex) with the ability to connect the dots across data, processes, and technologies to enable integrated solutions.
Document data flows, business rules, and system dependencies to ensure transparency, consistency, and maintainability of solutions.
Define and implement system enhancements by gathering business requirements, conducting user acceptance testing (UAT), and supporting deployment with business owners, vendors, and technical teams.
Identify and drive opportunities to improve and automate Ground Operations processes using data, AI, machine learning, and emerging technologies.

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