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Artificial Intelligence Compensation Index

Data Engineer Salary in Toronto, Canada

Comprehensive market analytics, experience ranges, company comparisons, and local purchasing power indices.

What is the average Artificial Intelligence Data Engineer salary in Toronto, Canada?

The average annual base salary for a Data Engineer working in the Artificial Intelligence sector in Toronto is CAD 105,957 per year. Most professionals in this role earn a monthly gross salary ranging between CAD 6,622 and CAD 12,361, with an annual typical range spanning from CAD 79,467 to CAD 148,339.

Average Annual Salary
CAD 105,957
Median Annual Salary
CAD 99,599
Typical Range
CAD 79,467 - CAD 148,339
Data Points Modeled
273 reference factors

Salary Snapshot

Average Salary CAD 105,957
Median Salary CAD 99,599
Lowest 10% Percentile CAD 67,546
Highest 10% Percentile CAD 185,423
Experience Range 0 - 15+ years
Data Model Type Standardized Projection

Salary Percentile Distribution

10th Percentile (Entry Threshold) CAD 67,546
50th Percentile (Median Level) CAD 99,599
90th Percentile (Senior Lead) CAD 185,423

Chart shows compensation ranges across general hiring distributions.

Data Engineer Salary by Experience

Experience Level Years of Experience Estimated Base Salary
Junior / Entry Level 0 - 2 years CAD 79,467
Mid-Career 3 - 5 years CAD 105,957
Senior Professional 6 - 10 years CAD 143,041
Principal / Director 10+ years CAD 163,172

Top Paying Companies for Data Engineers

Estimated annual compensation packages offered by top organizations in the region.

Microsoft

CAD 132,446

Avg base + bonus options

Google

CAD 143,041

Avg base + equity shares

Amazon

CAD 125,029

Avg base + sign-on bonus

Local Startups

CAD 100,659

Avg base + stock variables

Highest Paying Skills for Data Engineers

Acquiring these key skills can yield a significant premium on base pay ranges.

In-Demand Skill Estimated Base Salary with Skill Salary Premium Bonus
Artificial Intelligence Management CAD 135,624 +28%
Artificial Intelligence Strategy CAD 129,267 +22%
Data Analysis CAD 123,969 +17%
Project Management CAD 121,850 +15%
Problem Solving CAD 118,671 +12%

Cost of Living & Net Earnings in Toronto

How does a Data Engineer's compensation align with regional housing and utility budgets?

Monthly Itemized Expense Estimated Cost
Housing & Rent (1 Bedroom Apartment) CAD 1,600
Food & Groceries CAD 480
Public Transit & Commuting CAD 100
Utilities & Internet Access CAD 180
Total Monthly Living Expenses CAD 2,360

Net Take-Home Calculations

A professional earning the average salary of CAD 105,957 gross annually takes home approximately CAD 6,887 monthly after estimated income taxes and statutory deductions.

After subtracting the total monthly living expenses of CAD 2,360, a single professional can expect to save around CAD 4,527 per month. This indicates a cost of living rating characterized as Moderate.

How does Data Engineer compare to other Artificial Intelligence careers?

Profession Industry sector Average Annual Salary
AI Product Manager Artificial Intelligence CAD 107,616
AI Research Scientist Artificial Intelligence CAD 86,050
Computer Vision Engineer Artificial Intelligence CAD 73,684
Data Scientist Artificial Intelligence CAD 117,914
Data Engineer (Current Page) Artificial Intelligence CAD 105,957

Local Market Context & Role Analysis

In Toronto (Canada), the role of a Data Engineer (matching standard international occupational classifications) is a vital driver of operational efficiency within the local Artificial Intelligence sector. Professionals in this field analyze technical specifications, coordinate with regional stakeholders, and ensure project targets align with local standards. Local certifications (such as relevant national vocational training or professional degrees) are highly valued by regional employers.

The local market dynamics in Toronto are heavily shaped by regional economic investments and local infrastructure priorities. For instance, in Toronto and the surrounding Canada region, hiring demand is driven by both local enterprises expanding their digital footprints and traditional firms modernizing their workflows. Compensation structures reflect these regional cost-of-living adjustments, localized labor availability, and competitive hiring packages offered by local office hubs.

According to regional salary data trends, professionals who possess advanced qualifications or specialized skills command a significant salary premium. Employers in Toronto frequently seek candidates with strong analytical skills, project management experience, and a track record of delivering successful results in high-pressure environments.

Frequently Asked Questions (FAQs)

Q1: Is CAD 105,957 a good salary in Toronto?

A: Yes, earning CAD 105,957 gross annually is considered a competitive compensation package in Toronto. It comfortably covers the average monthly cost of living of CAD 2,360 (which includes rent, dining, utilities, and transport), allowing a single professional to save approximately CAD 4,527 net per month.

Q2: How much tax does a Data Engineer pay in Canada?

A: In Canada, the estimated statutory deductions for income tax, social security contributions, and national insurance average around 22%. On a gross base salary of CAD 105,957, the net monthly take-home salary is approximately CAD 6,887.

Q3: Do Data Engineers in Toronto need to speak the local language or hold specific certifications?

A: In Toronto, professional proficiency in English is standard. Recruiter preferences generally prioritize technical skills, relevant certifications (such as AWS, PMP, or sector-specific credentials), and local work authorization rather than foreign language skills.

Q4: What is the difference between junior and senior Data Engineer salaries in Toronto?

A: Entry-level professionals with 0-2 years of experience start at an average of CAD 79,467 gross annually. In contrast, senior managers, lead architects, or directors in Toronto can command packages exceeding CAD 163,172 per year.

📋 Methodology & Data Sources

This profile is reviewed and updated quarterly by the The Career DB Editorial Team (Last reviewed: June 2026). To estimate realistic earnings, our models synthesize data from multiple sources:

  • National occupational census databases and official labor reports (such as INSEE for France, Bureau of Labor Statistics for USA, Ministry of Statistics for India).
  • Aggregated regional job ads, local hiring surveys, and cost of living tables.
  • Deterministic economic adjustments based on purchasing power parity (PPP) and local tax brackets.

Disclaimer: The figures displayed are modeled projections and statistical estimates computed for informational, research, and educational purposes. They do not constitute formal legal, tax, or professional career advice. Actual compensation packages vary depending on negotiation, employer scale, and individual candidate experience.