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Snowflake Jobs in Quebec (NOW HIRING)

Java Spark Developer

Montreal, QC · On-site

CA$80K - CA$110K/yr

Connect data streams with cloud and enterprise databases, including Snowflake, PostgreSQL, and DB2, while optimizing SQL/PL-SQL queries. Global Collaboration: Partner with international quantitative ...

Une exposition a, ou un fort interet pour, des plateformes de bases de donnees modernes telles que Snowflake et SingleStore. * Solides competences en scripting Python pour l'automatisation ...

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 ...

Comprendre l'écosystème de données et les interactions entre les différentes plateformes (Snowflake, MySQL et Campaign Tool), ainsi que les liens entre les processus ETL, les tables et les flux ...

New

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 ...

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 ...

You'll work with backend data systems, BI tools, Streamlit dashboards, Google Search Console, SEMrush, Snowflake, and other reporting sources to help teams understand what is changing, why it matters ...

Showing results 21-40

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:

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.

CA$80K - CA$110K/yr

Full-time

Posted 11 days ago


Job description

Job Description Senior Java & Spark Developer Location: Montreal, QC, Canada Employment Type: Full-Time Compensation: $80,000 - $110,000 CAD + Comprehensive Benefits Leap Recruitment Partners has been engaged by a global leader in the financial services and capital markets space to identify an experienced Senior Java & Spark Developer. In this role, you will collaborate with cross-functional, global technology teams to design, build, and optimize mission-critical data processing engines. You will work at the intersection of high-performance backend development, big data ecosystems, and complex financial technology.

The Role & Responsibilities Data Pipeline Architecture: Design and implement robust, high-throughput distributed data pipelines utilizing Core Java, Scala, and Apache Spark. Core Application Development: Build low-latency, multi-threaded server-side applications engineered for batch and real-time processing. Database Integration: Connect data streams with cloud and enterprise databases, including Snowflake, PostgreSQL, and DB2, while optimizing SQL/PL-SQL queries.

Global Collaboration: Partner with international quantitative, risk, and trading technology teams within an Agile framework to translate complex business needs into efficient technical solutions. Technical Mentorship: Drive engineering best practices through thorough code reviews, technical guidance, and active troubleshooting of production issues. Performance Tuning: Continually refine algorithmic complexity, memory management, and data structures to ensure scalability across enterprise infrastructure.

Qualifications & Requirements Experience: 5 to 7+ years of hands-on software development experience with a deep mastery of Core Java. Big Data Suite: Proven track record building enterprise-grade data workflows with Apache Spark and event streaming systems like Apache Kafka. Database Expertise: Advanced proficiency in SQL/PL-SQL and experience integrating applications with cloud or relational databases (e.g., Snowflake, PostgreSQL, DB2)

System Design: Solid understanding of multi-threading, concurrency, and performance optimization for low-latency systems. Domain Knowledge: Prior experience within banking, quantitative finance, or risk management technology environments is highly desirable. Education: Bachelor's degree in Computer Science, Information Technology, or a related field.

Work Authorization: Must be legally eligible to work in Canada without sponsorship. At Leap we are an Equal Opportunity and Affirmative Action Employer. That means all applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

Leap will not tolerate any discrimination or harassment based on any of these characteristics. Leap encourages applicants of all ages.