Senior Data Engineer

Clutch Canada; Toronto; On-site; CAD 70,000 - 90,000; Full time

Job summary

A leading company in Canada is looking for a Data Engineer to assist in developing data pipelines and ensure data accuracy across systems. The ideal candidate will have a Bachelor's degree in a related field and experience with SQL and ETL processes. At Clutch, you'll enjoy autonomy in your role, competitive compensation, and generous benefits in a dynamic and inclusive environment.

Benefits

Autonomy & ownership

Competitive compensation and equity incentives

Generous time off program

Health & dental benefits

Qualifications

• 1-3 years of experience in data engineering or analytics.
• Some experience with Python, JavaScript, or TypeScript.
• Familiarity with relational databases and data warehousing concepts.

Responsibilities

• Assist in developing and maintaining data pipelines.
• Collaborate with senior engineers for data accuracy.
• Help monitor and troubleshoot data pipelines.

Skills

SQL

Data analysis

Data quality

Data pipelines

ETL/ELT

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems

Tools

Datadog

Git

AWS

Job description

About Clutch:

Clutch is Canada’s largest online used car retailer, delivering a seamless, hassle-free car-buying experience to drivers everywhere. Customers can browse hundreds of cars from the comfort of their home, get the right one delivered to their door, and enjoy peace of mind with our 10-Day Money-Back Guarantee… and that’s just the beginning.

Named one of Canada’s top growing Companies two years in a row and also awarded a spot on LinkedIn’s Top Canadian Startups list, we’re looking to add curious, hard-working, and driven individuals to our growing team.

Headquartered in Toronto, Clutch was founded in 2017. Clutch is backed by a number of world-class investors, including Canaan, BrandProject, Real Ventures, D1 Capital, and Upper90. To learn more, visitclutch.ca.

What You’ll Do

• Assist in developing and maintaining data pipelines to support business reporting and analytics needs.
• Work with ETL/ELT processes to clean, transform, and move data between systems reliably and efficiently.
• Collaborate with senior engineers to ensure data accuracy and integrity across various sources.
• Help monitor and troubleshoot data pipelines using tools like Datadog or other monitoring solutions.
• Support data quality efforts by identifying anomalies and contributing to regular data audits.
• Contribute to the implementation and support of modern data architectures, including data lakes and cloud data warehouses.
• Write clear documentation for data processes, pipeline logic, and data definitions.
• Learn and apply best practices in data security, scalability, and performance.
• Use version control and CI/CD tools (e.g., Git, GitHub Actions) to support data pipeline development and deployments.

What We’re Looking For

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent work experience).
• 1–3 years of experience in a data engineering, analytics, or related role.
• Proficiency in SQL and experience writing queries for reporting or data analysis.
• Some experience with at least one programming language (e.g., Python, JavaScript, or TypeScript).
• Familiarity with relational databases (e.g., PostgreSQL, MySQL) and basic understanding of data warehousing concepts.
• Exposure to cloud platforms (preferably AWS) and interest in learning cloud-based data services like S3, Redshift, or Glue.
• Interest or basic experience with ETL/ELT tools (e.g., Airflow, dbt, Talend).
• Understanding of version control systems (e.g., Git) and eagerness to learn DevOps practices.

Why you’ll love it at Clutch:

• Autonomy & ownership -- create your own path, and own your work
• Competitive compensation and equity incentives!
• Generous time off program
• Health & dental benefits

Clutch is committed to fostering an inclusive workplace where all individuals have an opportunity to succeed. If you require accommodation at any stage of the interview process, please email [e-mail].