Data Engineer

Toronto, ON
On-site
Posted Oct 15, 2026
1 position

Opens LinkedIn

Employment type: Contract
Experience level: Senior · 5+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Develop, optimize, and maintain robust ETL/ELT data pipelines in production-grade environments. Apply data modeling and SQL expertise while working with Google Cloud Platform services, including BigQuery, Dataflow, Dataproc, Cloud Run, and Cloud Storage.

Job details

5+ years of experience as a Data Engineer developing, optimizing, and maintaining robust ETL/ELT data pipelines. Hands-on experience with Google Cloud Platform (GCP), including: BigQuery Dataflow Dataproc Cloud Run Cloud Storage Strong expertise in data modeling, including: Logical and physical data models Dimensional modeling BigQuery-specific physical data modeling Strong SQL development and optimization skills. Experience working with large-scale, production-grade data environments.

What you’ll do

Requirements

Requires 5+ years of experience as a Data Engineer and hands-on experience with Google Cloud Platform services. Candidates should have strong SQL development and optimization skills, expertise in logical, physical, and dimensional data modeling, and experience with large-scale production data environments.