Data Engineer salary: San Francisco vs Toronto (2026)

San Francisco pays Data Engineers 48% more than Toronto at the mid-level band — a median of $196k vs CA$132k.

Estimates based on public benchmarks and modelled data. How we calculate →

Median salary gap
48%
San Francisco wins by $64k/yr at mid-level
2026 · Gross annual base

San Francisco

Higher pay
Median (mid-level)
$196k
Typical range (p25–p75)
$153k$255k
Senior median
$311k
Junior median
$110k

Toronto

Median (mid-level)
CA$132k
Typical range (p25–p75)
CA$101kCA$169k
Senior median
CA$206k
Junior median
CA$73k

San Francisco vs Toronto — the verdict

San Francisco pays Data Engineers a median of $196k per year, around 48% more than Toronto's CA$132k. That's roughly $64k of additional gross base pay every year for the same role at the mid-level band.

The premium narrows once you factor in cost of living, tax, and housing. Toronto often delivers stronger real purchasing power, especially for early-career professionals — and the local market is typically less competitive.

Use the CompVerdict offer checker below to test a specific offer against either city's market. A strong offer sits above the p75; a fair offer lands near the median; below p25 there's a clear case to negotiate.

Data Engineer salary by experience band

BandSan FranciscoTorontoGap
Junior$110kCA$73k51%
Mid-level$196kCA$132k48%
Senior$311kCA$206k51%

Medians shown. Gap is computed against the lower-paying city at each band.

Got an offer in either city?

Knowing the gap is step one. The real question is where your specific offer sits within San Francisco's or Toronto's range. If your offer is in the bottom 30% for the role and city, there's a strong case to push back.

Use the CompVerdict tool to get your verdict instantly. No signup. You'll also get a ready-to-send negotiation script based on the local market.

Check an offer →

Frequently asked questions

Which city pays more for Data Engineers — San Francisco or Toronto?

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San Francisco pays more. The median Data Engineer salary in San Francisco is $196k vs CA$132k in Toronto — a 48% gap at the mid-level band. San Francisco median is $196k; Toronto median is CA$132k.

What's the salary gap between San Francisco and Toronto for Data Engineers?

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At the mid-level (3–5 years experience) band, San Francisco pays 48% more than Toronto for Data Engineers. The absolute difference is roughly $64k per year on the median. Junior and senior bands shift the gap slightly, but the direction is consistent.

Which is better for senior Data Engineers — San Francisco or Toronto?

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Senior Data Engineers earn $311k median in San Francisco vs CA$206k in Toronto. San Francisco maintains its lead at the senior band, often widening as total comp (equity, bonus) compounds with seniority. Toronto can still close the gap when you adjust for cost of living.

Are San Francisco and Toronto salaries cost-of-living adjusted?

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No — these are gross annual base salary figures. San Francisco typically has higher living costs alongside its higher pay. To see how either salary translates into rent affordability, use SpendVerdict; for savings potential, use PathVerdict. The headline gap of 48% narrows significantly once you adjust for housing, tax, and lifestyle costs.

Salary estimates are based on public benchmarks and modelled data. They represent gross annual base salary and do not include bonuses, equity, or benefits. Read our methodology →