Senior Data Engineer
The role involves delivering high-impact data projects from inception through warranty and addressing gaps in data designs with stakeholders. It requires building and maintaining data pipelines using orchestration tools and cloud technologies.
- Hybrid
- Markham, ON
- Posted Aug 19, 2026
- Apply by Sep 18, 2026
- 1 position
More jobs you can apply to directly
Similar opportunities posted by employers hiring on Jobs.ca, with no external application form.
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
The role involves delivering high-impact data projects from inception through warranty and addressing gaps in data designs with stakeholders. It requires building and maintaining data pipelines using orchestration tools and cloud technologies.
Requirements
Candidates must have 10 years of professional experience, including 5 years with Snowflake, dbt, AWS, Python, and Java. Proficiency in relational databases and orchestration tools like Airflow is required, with certain Snowflake certifications being an asset.
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
- AWS
- Python
- Java
- PostgreSQL
- Amazon Aurora
- Snowsight
- Streamlit
- SQL
- Shell
- Terraform
- Zena
- AWS Managed Airflow
- Snowflake AI/ML
- Snowflake-Data Science
Job areas
- Data & Analytics
- Technology
- Software
- Consulting
- Engineering
Additional details
- Minimum experience
- 10+ years
- Apply by
- Sep 18, 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