Senior Data Engineer

Techedin; Toronto; Hybrid; CAD 82,656 - 96,432; Full time

Job summary

Techedin is seeking a Senior Data Engineer to join our team in Toronto, Canada. This hybrid position focuses on designing and building scalable data pipelines as well as delivering powerful analytics solutions. The ideal candidate should possess strong skills in Python, Spark, and SQL, with a minimum of 5 years of experience in the field.

Your role will involve collaborating with data scientists and product managers to solve complex data problems and automate workflows. We value diversity and inclusion and encourage applications from all backgrounds.

Please email your resume to [e-mail] if you are interested.

Qualifications

• 5+ years of experience in data engineering.
• Strong experience with Python and SQL.
• Hands-on experience with Snowflake and Hive.

Responsibilities

• Design and build scalable data pipelines.
• Translate business requirements into data architectures.
• Automate cloud workflows and monitoring.

Skills

Python

Spark (PySpark, Spark SQL)

SQL

Snowflake

Hive

ETL pipelines (Airflow)

Data modeling

BI tools (Power BI, Tableau, Qlik)

Git

CI/CD tools (Jenkins)

Education

Cloud or Data Engineering certifications

Tools

Jupyter

Zeppelin

Job description

Job Title

Senior Data Engineer

Location

Hybrid (2 days remote), Toronto, Canada

Experience

5+ Years

Rate

60 CAD to 70 CAD per hour

Role Summary

We are hiring for the Senior Data Engineer role, where the selected candidate will work on scalable data pipelines and analytics solutions. This position focuses on large-scale data processing, insights generation, and business decision support.

Key Responsibilities

• Design and build scalable data pipelines (batch and real-time)
• Translate business requirements into data architectures
• Solve complex data engineering problems with iterative solutions
• Build and maintain high-volume data infrastructure
• Automate cloud workflows, infrastructure, and monitoring
• Develop CI/CD pipelines to improve deployment and quality
• Collaborate with data scientists, product managers, and analysts
• Perform data analysis and data mining for business insights
• Create dashboards, reports, and KPI tracking systems
• Deliver ad-hoc analysis and long-term data projects
• Define and monitor critical business metrics and KPIs
• Present insights to technical and non-technical stakeholders

Must-Have Skills

• Strong experience with Python, Spark (PySpark, Spark SQL), and SQL
• Hands-on experience with Snowflake and Hive
• Experience building ETL pipelines using Airflow
• Strong understanding of data modeling and analytical data systems
• Experience with BI tools: Power BI, Tableau, or Qlik
• Strong coding skills with clean, maintainable code practices
• Experience with Git and CI/CD tools (e.g., Jenkins)
• Familiarity with Jupyter, Zeppelin, or similar notebook environments

Nice-to-Have Skills

• Experience with Looker
• Exposure to Tableau or Qlik
• Familiarity with AWS services and distributed systems
• Experience with Presto or similar query engines

Certifications

• Cloud or Data Engineering certifications are a plus

Equal Opportunity Statement

At Techedin, we welcome applicants of all backgrounds, communities, and experiences. Our commitment to diversity, equity, and inclusion drives us to create hiring experiences that are open, fair, and human-first.

If you are interested, please email your resume to [e-mail].