Senior Data Engineer - Snowflake & DBT Cloud
Deliver high-impact data projects from inception through warranty using Snowflake and AWS technologies. Identify and address gaps in data designs and processes while collaborating with internal and external stakeholders.
- Hybrid
- Markham, ON
- Posted Sep 1, 2026
- Apply by Oct 1, 2026
- 1 position
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Job summary
Role Senior Data Engineer Experience - 10+ Years Location Canada Client location Markham Office Working model Hybrid 3 days Work From Office 2 days mandatory Tue Wed 1 day flexible any day from Mon Thu Fri Primary Skills Extensive Experience 10 years of professional experience delivering over 10 high-impact data projects from inception through warranty 5 years of Snowflake, dbt Core, Cloud, and AWS Cloud Technologies 5 years of experience with coding in multiple programming languages such as Python and Java Deep knowledge of relational databases Snowflake PostgreSQL Amazon Aurora Skilled in tools such as Snowsight Streamlit Proficiency in SQL Python Shell and Terraform with a strong focus on performance reusability and maintainability Presentation Communication Strong technical and business presentation skills able to identify and address gaps in data designs and processes with both internal and external stakeholders Pipeline Orchestration Tools Handson experience with orchestration tools like Zena and AWS Managed Airflow Resilience Adaptability Proven ability to thrive in fastpaced ambiguous and highpressure environments Required Certifications having 2 Or More Is An Asset SnowPRO Core SnowPRO Advanced Data Engineer DEAC01 DEAC02 SnowPro Advanced Architect ARAC01 Qlik SAP BusinessObjects to communicate insights effectively AWS Cloud Practitioner Mandatory Skills : Snowflake AI/ML, Snowflake-Data Science “We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.”
What you’ll do
Deliver high-impact data projects from inception through warranty using Snowflake and AWS technologies. Identify and address gaps in data designs and processes while collaborating with internal and external stakeholders.
Requirements
Requires over 10 years of professional experience, including 5 years with Snowflake, dbt, and AWS. Proficiency in Python, Java, SQL, and orchestration tools like Airflow is essential.
Listed skills
- SQLPreferred
- PostgreSQLPreferred
- Amazon Web ServicesPreferred
- JavaPreferred
- TerraformPreferred
- PythonPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Snowflake
- DBT Core
- DBT Cloud
- AWS
- Python
- Java
- SQL
- PostgreSQL
- Amazon Aurora
- Snowsight
- Streamlit
- Terraform
- Zena
- AWS Managed Airflow
- Snowflake AI/ML
- Data Science
Job areas
- Data & Analytics
- Technology
- Software
- Engineering
- Consulting
Additional details
- Minimum experience
- 10+ years
- Apply by
- Oct 1, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Office presence
- 3 days per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available