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Data Engineer – Snowflake

Design and implement scalable Snowflake data architectures and native applications. Build and maintain ETL/ELT pipelines while optimizing performance, cost, and security within the platform.

  • On-site
  • Toronto, ON
  • Posted Jul 28, 2026
  • Apply by Jan 24, 2027
  • 1 position

Job summary

Overview We are looking for a Data Engineer – Snowflake to design, build, and optimize scalable cloud data solutions. The ideal candidate has strong experience with Snowflake, modern data pipelines, Python, SQL, and cloud platforms Key Responsibilities Design and implement scalable Snowflake data architectures. Build and maintain ETL/ELT pipelines using Snowpipe, Snowpark, Streams & Tasks, and dbt. Develop Snowflake-native applications, UDFs, and automation tools. Optimize performance, cost, and security within the Snowflake platform. Implement CI/CD, Infrastructure as Code, and data governance best practices. Collaborate with engineering teams and support platform enhancements. 5+ years of data engineering experience with hands-on Snowflake expertise. Strong experience with Snowpark, Snowpipe, Streams & Tasks, SQL, and Python. Experience with dbt and ETL/ELT tools such as Fivetran, Matillion, Airbyte, or StreamSets. Knowledge of Terraform, CI/CD, and AWS, Azure, or GCP. Strong understanding of data modeling, governance, and query optimization. Nice to Have Snowflake SnowPro Certification. Experience with Tableau, Power BI, or Looker. Knowledge of data lineage or catalog tools.

What you’ll do

Design and implement scalable Snowflake data architectures and native applications. Build and maintain ETL/ELT pipelines while optimizing performance, cost, and security within the platform.

Requirements

Requires over 5 years of data engineering experience with deep expertise in Snowflake, Python, and SQL. Proficiency with dbt, cloud platforms (AWS/Azure/GCP), and CI/CD practices is essential.

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Snowflake
  • Python
  • SQL
  • Snowpark
  • Snowpipe
  • dbt
  • ETL/ELT
  • Terraform
  • CI/CD
  • AWS
  • Azure
  • GCP
  • Data Modeling
  • Data Governance
  • Query Optimization
  • Cloud Data Architecture

Job areas

  • Data & Analytics
  • Technology
  • Software
  • Engineering
  • Consulting

Additional details

Minimum experience
5+ years
Apply by
Jan 24, 2027
Posting language
English
Working hours
40 hours per week
Seniority
Not Applicable