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Snowflake Jobs in Quebec (NOW HIRING)

Design and evolve high-quality analytical data models (Star/Snowflake schema) * Collaborate with product managers and stakeholders to translate analytical needs into concrete technical solutions

You will be responsible for SQL programming on Snowflake, data extraction, list and segment creation, coordination of timelines, and process documentation. You will also leverage your business domain ...

Contribute to the transition toward modern platforms such as Snowflake and/or Microsoft Fabric by adopting data engineering practices * Ensure data quality, consistency, and governance across all ...

New

Contribute to the transition toward modern platforms such as Snowflake and/or Microsoft Fabric by adopting data engineering practices * Ensure data quality, consistency, and governance across all ...

New

Contribute to the transition toward modern platforms such as Snowflake and/or Microsoft Fabric by adopting data engineering practices * Ensure data quality, consistency, and governance across all ...

New

They've invested heavily in platforms like Snowflake and Databricks. They understand what they need to build. What they need from us is someone who can speak their language, understand their ...

Apply Early

Design and maintain dimensional models, star schemas, snowflake schemas, and Data Vault structures to support analytics, dashboards, and reporting needs. * Perform data model consolidation and ...

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Snowflake information

See Quebec salary details

$15

$69

$100

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:
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.

Backend Developer (Data)

Poka EN

Montreal, QC • On-site

Other

Posted 29 days ago


Job description

The Analytics team is responsible for developing Poka's data analytics platform and managing a wide range of services and tools to store, transform, and analyze the use of our application by our customers and their factories. These internal products provide visibility on Poka usage, both internally and for production line managers, enabling them to make informed strategic decisions.

As a Backend Developer (Data), you will play a key role in the design and evolution of our modern data platform. You will be involved in creating robust, scalable, near real-time data pipelines while applying best software engineering practices to ensure the quality, reliability, and performance of our systems. You will also work on production-grade Python code for backend services and integrations, and actively contribute to integrating new use cases in artificial intelligence and advanced analytics.

What you'll be responsible for
  • Design, develop, and optimize robust, scalable, near real-time ELT/ETLT data pipelines
  • Develop and maintain production-level Python code, including backend data services
  • Apply modern software engineering practices: automated testing, CI/CD, code reviews, observability
  • Design and evolve high-quality analytical data models (Star/Snowflake schema)
  • Collaborate with product managers and stakeholders to translate analytical needs into concrete technical solutions
  • Participate actively in architectural decisions and the introduction of new tools or technologies
  • Contribute to the integration of AI-driven use cases into our data platform
  • Mentor and guide less experienced team members to promote best practices
Your experience includes
  • A Bachelor's degree, AEC, DEC, or other relevant training
  • Strong experience in Python, applied to both data processing and backend service development
  • Advanced proficiency in SQL and query optimization
  • Hands-on experience in designing and maintaining complex data pipelines (ELT/ETL), ideally in near real-time environments
  • Solid experience in structured software development: architecture, testing, CI/CD, best coding practices
  • Strong knowledge of analytical data modeling
  • Effective communication skills in both French and English
  • Strong ability to collaborate within multidisciplinary team
Nice-to-have
  • Advanced experience with Snowflake or other modern data warehouses
  • Experience with transformation tools (dbt)
  • Experience with workflow orchestration (Prefect, Airflow)
  • Familiarity with visualization tools (Looker or others)
  • Experience with cloud services (AWS, GCP, Azure)
  • Experience in implementing data monitoring, security, and governance practices
  • Knowledge of cloud-native microservices development and deployment
  • Experience in developing or integrating conversational agents applied to analytics