Senior Data Engineer

Torontoonsitesenior$90K$133K

Posted today · via Workday

About this role

The Role: We are looking for a Senior Data Engineer with a minimum of 5+ years of experience in designing and implementing scalable, end-to-end data engineering solutions. The ideal candidate should have strong hands-on expertise in Snowflake , modern data pipeline development, cloud platforms, version-controlled development practices, and AI-enabled data solutions. Key Responsibilities: Design, build, and maintain end-to-end data pipelines with Snowflake as the primary data warehouse. Implement and support Medallion Architecture within Snowflake for structured and scalable data management. Develop data ingestion pipelines using Python and/or Informatica to load data into Snowflake. Build scalable and efficient data models and transformation logic within Snowflake.…

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What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, sql, snowflake, aws, terraform…

2

Level fit

This role is senior-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in Toronto. We weight your proximity and willingness to relocate.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonsqlsnowflakeawsterraformtableaugitbitbucket

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