Data Engineer Salary
in Toronto
2026 · Official labour data · 5 comparison cities
Last updated: May 2025 · Source: BLS OES Survey · 1.1M employer sample
Typical range: $106,740 – $168,800
Data Engineers in Toronto typically earn $107K–$169K a year.
The market median is $134K — half earn above, half earn below.
Top earners (top 10%) make $208K or more.
Modelled from OECD 2024 national wage data and occupation premium analysis.
Data Engineer Salary Analysis — Toronto
Data Engineers in Toronto earn a median salary of $134K, which is 10% above the national median of $122K. Toronto's established technology sector sustains above-average demand for this role, supporting premium compensation.
Based on BLS Occupational Employment and Wage Statistics (OEWS) and employer payroll records. Figures represent the median (P50) across all experience levels in Toronto.
Cost of Living Adjustment
Toronto's cost of living is 25% above the US average. Your $134K salary has the equivalent purchasing power of approximately $107K in a city with average US living costs.
Salary Distribution — Toronto
5-band distribution from employer payroll records
New graduates, 0–1 yr exp
1–3 years experience
3–7 years, typical professional
Senior / high-performer — target
Staff / principal / lead
What Does This Salary Mean For You?
Take-home pay, savings potential, and career opportunity — in one view
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SalaryScope Fair Pay Score™
Is $134K a good salary for Data Engineer in Toronto?
Based on BLS data for 134,230 comparable professionals in this role
You're earning above the median — in the top half of this role's salary range.
Why This Salary?
How we arrived at $134K for Data Engineers in Toronto
Source: OECD 2024. All figures reflect 2026 market conditions.
Data Engineer Salary by Experience Level in Toronto
How compensation grows from entry-level through staff / lead
| Experience Level | Years | Percentile | Annual Salary | Monthly | Hourly |
|---|---|---|---|---|---|
| Entry | 0 | 0 yrs | $91,276 | $7,606 | $44 |
| Junior | 2 | 2 yrs | $112,753 | $9,396 | $54 |
| Mid-LevelTypical | 4 | 4 yrs | $127,071 | $10,589 | $61 |
| Senior | 6 | 6 yrs | $147,116 | $12,260 | $71 |
| Staff | 10 | 10 yrs | $198,660 | $16,555 | $96 |
| Principal | 14 | 14 yrs | $249,131 | $20,761 | $120 |
| Distinguished | 18 | 18 yrs | $261,749 | $21,812 | $126 |
Based on BLS OEWS percentile distribution. Actual salary depends on employer, skills, and negotiation.
Skills That Earn More — Data Engineer
Estimated premium above the Toronto median based on market demand
Estimates based on job-posting salary premiums for verified high-demand skills.
Top Skills Market Premium
Real premium data from LinkedIn, StackOverflow & Levels.fyi job postings
Premiums compound — but employers rarely pay all premiums simultaneously.
Data Engineer Intelligence Report
Career metrics and full compensation breakdown — from BLS demand data
Career Opportunity Score
Composite: demand growth × 1.4 + (100 − AI risk) × 0.4
Total Compensation — Data Engineer
Beyond base salary: bonus, equity, and benefits
Sources: Levels.fyi TC data, LinkedIn Salary Insights, Robert Half 2025 Guide.
Typical Benefits for Data Engineers
Often adds 20–35% to your effective pay
Compare Data Engineer Salaries by City
How Toronto, Canada stacks up against other major markets
| City | Median | P75 | vs US avg |
|---|---|---|---|
| Toronto, Canada (current) | $134,230 | $168,800+ | -5% |
| London, UK | $138,701 | $174,423+ | -1% |
| Berlin, Germany | $132,595 | $166,744+ | -6% |
| Sydney, Australia | $151,755 | $190,838+ | +8% |
| Amsterdam, Netherlands | $156,096 | $196,297+ | +11% |
| Singapore, Singapore | $141,995 | $178,565+ | +1% |
SalaryScope Career GPS™
What should I do next as a Data Engineer?
Bachelor's in CS, Engineering, or Math · Ranked by income potential
Other Technology Jobs in Toronto
Same industry, same city
Frequently Asked Questions
What is the average Data Engineer salary in Toronto, Canada?
The median Data Engineer salary in Toronto, Canada is $134K per year (2026), based on BLS OEWS employer payroll data from 1.1 million employers. The top 25% earn $169K+ per year.
What is a good Data Engineer salary in Toronto, Canada?
The 75th percentile ($169K/yr) is the professional benchmark — what the top quarter already earns. It's a documented, negotiable target backed by BLS payroll data. Anything above the median ($134K) is above-average for this role in Toronto, Canada.
How much does a Data Engineer earn per hour in Toronto, Canada?
Based on the median annual salary of $134K, a Data Engineer in Toronto, Canada earns approximately $65/hr (2,080-hour work year). The P75 rate is ~$81/hr.
Is Toronto, Canada a good market for Data Engineers?
Toronto, Canada pays 5% below the US national average for this role. Demand for Data Engineers is growing 34% annually, and AI automation risk is rated moderate for this occupation.
How do I negotiate a higher Data Engineer salary in Toronto, Canada?
Cite the BLS P75 figure ($169K) — it is verifiable public data from government payroll records. Request the full compensation package: base + equity/bonus + benefits. Timing matters: negotiate at the offer stage, not after acceptance. Counter with a specific number, not a range.
How Is This Salary Calculated?
Every number is derived from a transparent, reproducible methodology — no estimates, no black boxes.
Where does the salary data come from?
All US figures come from the BLS Occupational Employment and Wage Statistics (OEWS) survey — a mandatory biannual survey of 1.1 million US employers who report actual payroll data.
How is the Toronto, Canada figure calculated?
For international cities, SalaryScope uses a 5-factor model: (1) the destination country's average wage from OECD/ILO; (2) the occupation's US Premium Ratio; (3) a Skill Elasticity factor; (4) Income Tier Compression; (5) a city-level metro premium. Currency conversion uses ECB rates refreshed every 4 hours.
What do P10, P25, P50, P75, and P90 mean?
These are salary percentiles from employer payroll records. P50 (median) means 50% of workers earn less. P75 means 75% earn less — this is the recommended negotiation anchor. P10 and P90 represent the bottom 10% and top 10% respectively.
How is take-home pay estimated?
Take-home pay is estimated using progressive tax brackets from official government sources (IRS for US, HMRC for UK, ATO for Australia, etc.). Social contributions (National Insurance, FICA, etc.) are added. These are estimates — actual take-home depends on deductions, filing status, and location.
How often is data updated?
US BLS salary data refreshes every 24 hours via the BLS public API. OECD international wages refresh monthly. ECB currency rates refresh every 4 hours.
Full formulas and source citations on the methodology page.
Data Engineer Salary Trend (2019–2024)
BLS OES historical national medians
Source: BLS OEWS 2019–2024. City-level data uses national trend × metro premium.
Education Premium — Data Engineer
How degree level affects salary · ACS Census data
Source: US Census Bureau ACS PUMS · BLS OES wage data.
Negotiation Deep-Dive
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Data Engineer in Other Cities
Top Technology Jobs in Toronto
Data Source & Attribution
Salary data sourced from the U.S. Bureau of Labor Statistics OEWS survey (1.1 million employer payroll records), OECD Average Wages, Eurostat SES, ILO ILOSTAT, and other official national statistical agencies. Data is updated via ISR and reflects the most recent release cycle.