$111,500Average salary
$111,500Annual benchmarkSalaries in Canada2026 Salary Report
Data Engineer salary in Canada.
The Data Engineer role builds reliable data pipelines, models, orchestration, and quality controls for analytics and products. Strong performance requires clear decisions, reliable follow-through, and an ability to explain trade-offs; useful outcome measures include accuracy, data freshness, decision usefulness, adoption, reproducibility, and time to insight. For Canada, this report combines salary benchmarks in CAD with modeled assumptions for a 25% tax rate, 10 days of annual leave, and a 80.0 cost-of-living index relative to the United States baseline.
$111,500Estimated annual average
$6,969Estimated monthly take-home
$34.84–$83.09Hourly equivalent range
31 Jul 2026Last benchmark update
Compensation overview
One role, four useful reference points.
Salary ranges reflect different experience levels. Actual offers can vary with company size, industry, location, contract type, specialized skills, benefits, equity, and negotiation.
High accuracy85 recent reports confirm this estimateUpdated 31 Jul 2026
Junior
$66,000–$87,5000-2 yearsMid-level
$87,800–$136,6003-5 yearsSenior
$132,000–$206,5006+ yearsEarnings breakdown
Monthly take-homeEstimated after an average 25% tax rate
$6,969Hourly equivalentBased on a standard 40-hour week
$34.84–$83.09Potential annual bonusIllustrative 10–15% performance range
$11,150–$16,725Planning reference
Monthly savings target30% illustrative allocation
$2,800Retirement contribution15% illustrative allocation
$1,400Housing budgetIllustrative 20% monthly ceiling
Up to $1,900Emergency fundThree to six months of gross income
$27,875–$55,750Healthcare infrastructure
State-supported healthcare contextCore healthcare access is generally supported through public systems and localized tax contributions. Coverage and supplemental costs vary.
Included in ≈ 25% tax model
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12-month trend
How the estimate has moved.
The estimated average changed by 3.7% over the displayed period, moving from $107,500 to $111,500.
| Period | Annual | Hourly |
|---|---|---|
| Aug 2026 | $111,500 | $35–$83 |
| Jul 2026 | $115,400 | $36–$86 |
| Jun 2026 | $116,800 | $37–$87 |
| May 2026 | $114,400 | $36–$85 |
| Apr 2026 | $110,100 | $34–$82 |
| Mar 2026 | $116,900 | $37–$87 |
| Feb 2026 | $116,300 | $36–$87 |
| Jan 2026 | $113,200 | $35–$84 |
| Dec 2025 | $112,700 | $35–$84 |
| Nov 2025 | $116,100 | $36–$87 |
| Oct 2025 | $110,300 | $34–$82 |
| Sep 2025 | $107,500 | $34–$80 |
Current opportunities
Move from research to the live market.
These current remote openings provide additional context for titles, employers, and the way this role appears in active hiring.
Career profile
What shapes success in this role.
Education is only one signal. Skills, tools, collaboration habits, work environment, and continued learning often have equal influence on compensation and progression.
Experience and baseline requirements
Typically 4-7 years of directly relevant experience supported by evidence of independent, high-impact delivery
Required skills
Education requirements
A degree in statistics, mathematics, computer science, economics, or equivalent analytical experience
Practical evidence of turning incomplete data into reproducible analysis or dependable data products
Training and development
Advanced SQL and query optimization
Data governance workshops
Experiment design practice
Dashboard accessibility reviews
Privacy-aware analytics training
Core skills
Trending and emerging skills
Key responsibilities
Own the planning and delivery of work in the Data Engineer remit, from initial problem definition through measurable follow-up
Apply domain expertise to role-specific decisions while balancing quality, speed, risk, and stakeholder expectations
Define practical success measures and review progress against accuracy, data freshness, decision usefulness, adoption, reproducibility, and time to insight
Investigate problems using relevant qualitative and quantitative evidence before recommending action
Coordinate dependencies and decisions with adjacent teams, escalating material risks early and clearly
Create concise documentation so methods, assumptions, decisions, and handoffs can be reviewed and reused
What can increase compensation
Scale and sensitivity of governed datasets
Business criticality of owned metrics
Data volume, quality, and modeling complexity
Advanced SQL and analytical depth
Ownership of trusted business metrics
Experimentation and statistical expertise
Modern data-platform experience
Typical career path
Work specifics
Remote data team with shared metric definitions, versioned analysis, peer review, and governed access
Translates questions from product, finance, operations, and leadership into measurable analytical work
Usually asynchronous, with scheduled overlap for planning, reviews, customer needs, or incident response
SQL
Python
dbt
Snowflake
Tableau
Power BI
Git
Common and additional benefits
Remote Work Options
Flexible Hours
Home Office Allowance
High-end Hardware Budget
Learning & Development Stipend
Mental Health Support
Coworking Space Access
Internet Allowance
Similar positions
Market intelligence
Demand beyond the salary range.
Compensation is influenced by hiring pressure, growth, remote availability, industry demand, and the scarcity of relevant skills.
Very High
Current hiring-demand signal for this role across the tracked market.
25% annual growth
Estimated direction of role demand and compensation opportunity.
Very High
Integration of wellness programs and mental health support specifically designed for remote workers
Key industries
Cross-country pay scale
See how the same role changes by market.
These comparisons apply Jobicy’s country multipliers to the same role model. Differences reflect market context rather than currency conversion alone.
UAE
Austria
Australia
Belgium
Switzerland
Germany
Spain
FranceQuestions answered
Frequently asked questions.
Quick answers about salary, hourly rates, skills, market outlook, and benefits for this role.
What is the average Data Engineer salary in Canada?
The estimated average annual salary is $111,500. Junior roles are estimated at $66,000–$87,500, while senior roles are estimated at $132,000–$206,500.
What is the hourly rate for this role?
The estimated hourly equivalent is between $34.84 and $83.09 based on a standard full-time schedule. Contract rates may differ.
Which skills are most relevant?
Core skills include Data pipelines, Orchestration, Data warehouses, Schema design, SQL. Trending and emerging requirements include Analytics engineering, Data governance, Semantic layers, Self-service analytics, Modern data stacks.
What is the market outlook?
Jobicy currently classifies demand as Very High, with a growth signal of 25% annual growth. Availability differs by industry, country, and employer.
Are these salary estimates guaranteed?
No. The figures are informational benchmarks based on market evidence and economic adjustments. Actual compensation depends on experience, skills, location, employer, contract type, benefits, and negotiation.
Methodology
How this estimate is prepared.
Jobicy combines multiple sources and exposes the assumptions so salary benchmarks can be used as context rather than mistaken for guaranteed compensation.
Market evidence
Public labor statistics, active job listings, compensation databases, labor-market research, and anonymous salary submissions.
Country adjustment
Role data is adjusted using currency, purchasing power, estimated tax conditions, and local economic indicators for Canada.
Range and review
Experience bands and historical trends are calculated, then refreshed as new market evidence becomes available.
Data sources and disclaimer
Sources include BLS, Eurostat, ILOSTAT, OECD, World Bank Open Data, public compensation databases, current job postings, and anonymous Jobicy reports. Salary and financial calculations are informational only and do not constitute financial, legal, or tax advice. Read the full methodology →
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