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Snowflake Jobs in Ontario (NOW HIRING)

Tiger Analytics Inc.

GenAI Data Engineer

Toronto, ON

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 ...

Konrad

Senior Data Engineer

Toronto, ON · Hybrid

CA$120K - CA$145K/yr

Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure ...

Konrad

Senior Data Engineer

Toronto, ON · Hybrid

CA$120K - CA$145K/yr

Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure ...

Global Excel Management

Data Developer II

Windsor, ON · On-site

CA$35.06 - CA$46/hr

Design, develop, and maintain modern data pipelines, data warehouses, and data lakes using Snowflake and Azure Data Services. * Architect data solutions leveraging DBT for data transformation and ...

TMX Group

Integration Developer

Toronto, ON · On-site

Build and optimize data models within Snowflake for high-performance querying. * Ensure data privacy during integrations using masking and/or other anonymization/aggregation technology * Ensure data ...

Royal Bank of Canada

Lead Data Engineer

Toronto, ON · On-site

You will work 70-80% hands-on across AWS (EKS, S3, RDS, EMR, Glue, Airflow), Snowflake, Spark, and dbt to deliver cloud-native, governed, and reliable data systems. What will you do? * Technical ...

Konrad

Data Engineer

Toronto, ON · Hybrid

CA$90K - CA$125K/yr

Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure ...

Konrad

Data Engineer

Toronto, ON · Hybrid

CA$90K - CA$125K/yr

Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure ...

CorGTA

Senior Data Engineer

Toronto, ON · Hybrid

CA$100/hr

Design, build and deploy scalable data engineering pipelines using Snowflake, AWS and Matillion * Develop high-quality, reusable and maintainable data solutions following engineering best practices

Moneris

Senior Manager, Data Engineering

Toronto, ON · On-site +1

CA$142K - CA$177K/yr

You will lead the migration to modern data platforms, including Snowflake, while advancing DataOps and MLOps capabilities that support analytics, machine learning, and business intelligence ...

Talent To Hire Inc.

Senior Data Engineer

Toronto, ON · On-site

CA$110K - CA$145K/yr

Recommend scalable data architectures using AWS, Snowflake, and modern data stack tools. * Ensure data quality, observability, and governance across systems. * Lead or support migration projects to ...

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Showing results 21-40

All JobsSnowflake JobsSnowflake Jobs in Ontario

Snowflake information

See Ontario salary details

$15

$69

$100

How much do snowflake jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for snowflake in Ontario 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 Ontario?

The most popular types of Snowflake jobs in Ontario are:

What are popular job titles related to Snowflake jobs in Ontario?

For Snowflake jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Snowflake jobs in Ontario look for?

The top searched job categories for Snowflake jobs in Ontario are:

What cities in Ontario are hiring for Snowflake jobs?

Cities in Ontario with the most Snowflake job openings:

Snowflake jobs near you
Infographic showing various Snowflake job openings in Ontario as of August 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 73% Physical, 8% Hybrid, and 19% Remote job distribution, with an average salary of $144,104 per year, or $69.3 per hour.

GenAI Data Engineer

Tiger Analytics Inc.

Toronto, ON

Full-time

Re-posted 25 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 100 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.

We are seeking an experienced Data Engineer with expertise in Dataiku to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.

Requirements

  • Design and implement robust data pipelines that ingest, process, and store unstructured data formats at scale within Snowflake and GCP.
  • 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 BigQuery, Cloud Storage, and Dataflow, ensuring seamless integration between GCP and Snowflake.
  • Instead of just using LLMs, you will integrate AI tools (OCR, NLP entities, Document AI) into the engineering flow to transform unstructured blobs into structured insights.
  • Tune complex SQL queries and Python-based processing jobs to handle petabyte-scale environments efficiently.

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.

Apply