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Artificial Intelligence Compensation Index

Data Engineer Salary in Vancouver, Canada

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

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

The average annual base salary for a Data Engineer working in the Artificial Intelligence sector in Vancouver is CAD 95,569 per year. Most professionals in this role earn a monthly gross salary ranging between CAD 5,973 and CAD 11,149, with an annual typical range spanning from CAD 71,676 to CAD 133,796.

Average Annual Salary
CAD 95,569
Median Annual Salary
CAD 89,834
Typical Range
CAD 71,676 - CAD 133,796
Data Points Modeled
190 reference factors

Salary Snapshot

Average Salary CAD 95,569
Median Salary CAD 89,834
Lowest 10% Percentile CAD 60,924
Highest 10% Percentile CAD 167,245
Experience Range 0 - 15+ years
Data Model Type Standardized Projection

Salary Percentile Distribution

10th Percentile (Entry Threshold) CAD 60,924
50th Percentile (Median Level) CAD 89,834
90th Percentile (Senior Lead) CAD 167,245

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 71,676
Mid-Career 3 - 5 years CAD 95,569
Senior Professional 6 - 10 years CAD 129,018
Principal / Director 10+ years CAD 147,175

Top Paying Companies for Data Engineers

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

Microsoft

CAD 119,461

Avg base + bonus options

Google

CAD 129,018

Avg base + equity shares

Amazon

CAD 112,771

Avg base + sign-on bonus

Local Startups

CAD 90,790

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 122,328 +28%
Artificial Intelligence Strategy CAD 116,594 +22%
Data Analysis CAD 111,815 +17%
Project Management CAD 109,904 +15%
Problem Solving CAD 107,037 +12%

Cost of Living & Net Earnings in Vancouver

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 95,569 gross annually takes home approximately CAD 6,212 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 3,852 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 83,615
Computer Vision Engineer Artificial Intelligence CAD 67,600
Data Scientist Artificial Intelligence CAD 104,565
Data Engineer (Current Page) Artificial Intelligence CAD 95,569

Local Market Context & Role Analysis

In Vancouver (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 Vancouver are heavily shaped by regional economic investments and local infrastructure priorities. For instance, in Vancouver 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 Vancouver 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 95,569 a good salary in Vancouver?

A: Yes, earning CAD 95,569 gross annually is considered a competitive compensation package in Vancouver. 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 3,852 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 95,569, the net monthly take-home salary is approximately CAD 6,212.

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

A: In Vancouver, 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 Vancouver?

A: Entry-level professionals with 0-2 years of experience start at an average of CAD 71,676 gross annually. In contrast, senior managers, lead architects, or directors in Vancouver can command packages exceeding CAD 147,175 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.