Senior Data Engineer

Toronto, Ontario

On-site

Full-time

No salary posted1 weeks ago

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Employment type: Full-time · On-site
Posted: September 24, 2026
Province: Ontario (ON)

Hiring confidence: Sparse posting · 11/100

This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored

Job Overview

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About TripleLift We're TripleLift, an advertising platform on a mission to elevate digital advertising through beautiful creative, quality publishers, actionable data and smart targeting. Through over 1 trillion monthly ad transactions, we help publishers and platforms monetize their businesses. Our technology is where the world's leading brands find audiences across online video, connected television, display and native ads. Brand and enterprise customers choose us because of our innovative so…

This role is based in Ontario. TripleLift is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.

Market context

About this role in Ontario

Average salary for Senior Data Engineer in Ontario

We do not have a salary benchmark for this title in Ontario yet. The posting does not state a salary either.

NOC code

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Typical qualifications for Canadian employers

5+ years of data engineering experience
Strong proficiency in SQL and Python
Experience with big data technologies and distributed systems
Knowledge of cloud platforms (AWS, GCP, or Azure)
Experience building and maintaining data pipelines and ETL processes

Fit check

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What you'll do

Design and build scalable data pipelines and infrastructure
Develop ETL processes to support data analytics and machine learning
Optimize data storage and retrieval systems
Work with cross-functional teams including data scientists and analysts
Monitor and maintain data quality and system performance
Collaborate on architectural decisions for data platform
Support monetization and targeting through actionable data solutions

What you'll need

5+ years of data engineering experience
Strong proficiency in SQL and Python
Experience with big data technologies and distributed systems
Knowledge of cloud platforms (AWS, GCP, or Azure)
Experience building and maintaining data pipelines and ETL processes
Understanding of data warehousing concepts
Strong problem-solving and analytical skills