Data Engineer Salary in Montreal, Canada
Comprehensive market analytics, experience ranges, company comparisons, and local purchasing power indices.
What is the average Artificial Intelligence Data Engineer salary in Montreal, Canada?
The average annual base salary for a Data Engineer working in the Artificial Intelligence sector in Montreal is CAD 93,492 per year. Most professionals in this role earn a monthly gross salary ranging between CAD 5,843 and CAD 10,907, with an annual typical range spanning from CAD 70,119 to CAD 130,888.
Salary Snapshot
| Average Salary | CAD 93,492 |
| Median Salary | CAD 87,882 |
| Lowest 10% Percentile | CAD 59,601 |
| Highest 10% Percentile | CAD 163,610 |
| Experience Range | 0 - 15+ years |
| Data Model Type | Standardized Projection |
Salary Percentile Distribution
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 70,119 |
| Mid-Career | 3 - 5 years | CAD 93,492 |
| Senior Professional | 6 - 10 years | CAD 126,214 |
| Principal / Director | 10+ years | CAD 143,976 |
Top Paying Companies for Data Engineers
Estimated annual compensation packages offered by top organizations in the region.
Microsoft
CAD 116,865
Avg base + bonus optionsCAD 126,214
Avg base + equity sharesAmazon
CAD 110,320
Avg base + sign-on bonusLocal Startups
CAD 88,817
Avg base + stock variablesHighest 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 119,669 | +28% |
| Artificial Intelligence Strategy | CAD 114,060 | +22% |
| Data Analysis | CAD 109,385 | +17% |
| Project Management | CAD 107,515 | +15% |
| Problem Solving | CAD 104,711 | +12% |
Cost of Living & Net Earnings in Montreal
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 93,492 gross annually takes home approximately CAD 6,077 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 3,717 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 115,545 |
| AI Research Scientist | Artificial Intelligence | CAD 73,062 |
| Computer Vision Engineer | Artificial Intelligence | CAD 70,980 |
| Data Scientist | Artificial Intelligence | CAD 110,127 |
| Data Engineer (Current Page) | Artificial Intelligence | CAD 93,492 |
Related Careers in Montreal
Data Engineer Salaries in other cities in Canada
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- 🔗 Data Engineer Salary in Ottawa, Canada
- 🔗 Data Engineer Salary in Winnipeg, Canada
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Local Market Context & Role Analysis
In Montreal (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 Montreal are heavily shaped by regional economic investments and local infrastructure priorities. For instance, in Montreal 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 Montreal 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 93,492 a good salary in Montreal?
A: Yes, earning CAD 93,492 gross annually is considered a competitive compensation package in Montreal. 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 3,717 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 93,492, the net monthly take-home salary is approximately CAD 6,077.
Q3: Do Data Engineers in Montreal need to speak the local language or hold specific certifications?
A: In Montreal, 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 Montreal?
A: Entry-level professionals with 0-2 years of experience start at an average of CAD 70,119 gross annually. In contrast, senior managers, lead architects, or directors in Montreal can command packages exceeding CAD 143,976 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.