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Toronto, Canada · AI Research Capital

Hire Data Engineers in Toronto

Pre-screened data engineers who build data pipelines, warehouses, and analytics platforms. Toronto is home to the Vector Institute, Shopify, and Canada's deepest AI talent pool. We deliver 5 interview-ready candidates in 48 hours.

48-hour delivery Zero upfront cost 30-day guarantee

Skills We Screen For

SparkAirflowSnowflakedbtPythonSQL

Open Data Positions in Toronto

Data Scientist

An Engineering companyMumbaifull-time

Data Engineer

An Engineering companyMumbaifull-time
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Why Hire Data Engineers Through HiroJet in Toronto

15,000+ Engineers Screened

Our AI screens thousands of data profiles to find the top 3% who match your stack and culture.

48-Hour Candidate Delivery

From requirement to shortlist in 2 days. Our Toronto network ensures rapid sourcing.

Pay Only on Hire

Zero retainer, zero upfront fees. You pay only when a candidate joins — with a 30-day free replacement guarantee.

Toronto Tech Market Insights

Toronto is the birthplace of modern deep learning (Geoffrey Hinton, University of Toronto). The city has the third-highest concentration of AI startups globally and benefits from Canada's streamlined Global Talent Stream visa.

Avg Salary

CAD 130-250K

Tech Talent Pool

400K+ engineers

Time Zone

EST (UTC-5)

Top Employers

Shopify, RBC, TD Bank, Wealthsimple

How We Screen Data Engineers

We evaluate data pipeline design (batch vs streaming), data warehouse modeling (star schema, SCD), orchestration tools (Airflow/Dagster), SQL mastery, and data quality frameworks.

Demand: highAvg Time to Hire: 15 daysInterview Focus: ETL/ELT design, data modeling, pipeline reliability, and data governance

Frequently Asked Questions

How quickly can you find data engineers in Toronto?
We typically deliver 5 pre-screened data engineers profiles within 48 hours. Our average time-to-hire for data roles is 15 days.
What is the average salary for data engineers in Toronto?
Data Engineers in Toronto typically earn CAD 130-250K depending on experience, skills, and company stage. Toronto has a talent pool of 400K+ engineers.
How do you screen data engineers candidates?
We evaluate data pipeline design (batch vs streaming), data warehouse modeling (star schema, SCD), orchestration tools (Airflow/Dagster), SQL mastery, and data quality frameworks.
Is there an upfront cost to start hiring?
No. HiroJet operates on a success-based model — you pay only when a candidate joins. First consultation and shortlist are free.
What if the hired candidate doesn't work out?
We offer a 30-day free replacement guarantee. If the candidate leaves or doesn't meet expectations, we replace them at no additional cost.

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