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Salary

Data engineer salary

Data engineer salary data across 30 cities, broken down by seniority and percentile. Senior figures are total compensation where regionally appropriate.

Highest median senior pay

Top paying city

308,000

Median (senior, total comp) in San Francisco, in USD

Full breakdown

By city

Senior pay across cities

Currency

Median 50th percentile for senior-level positions, shown in USD for a like-for-like comparison (switch currency above). Cost-of-living index relative to NYC equals 100.

CityCountryMedian (senior)COL indexComp basisSample
San FranciscoUS$308,000112Total comp850View
New YorkUS$280,000100Total comp620View
SeattleUS$272,00091Total comp620View
DenverUS$252,00074Total comp480View
AtlantaUS$247,00072Total comp480View
Tel AvivIL$218,43096Total comp240View
ZurichCH$193,140122Base160View
SingaporeSG$182,04096Total comp220View
LondonGB$173,99084Total comp620View
SydneyAU$153,78086Total comp220View
EdinburghGB$146,05070Total comp280View
VancouverCA$117,53076Base200View
TorontoCA$111,69074Base220View
DublinIE$111,24080Base220View
CopenhagenDK$109,62088Base170View
OsloNO$105,52486Base170View
AmsterdamNL$101,52078Base220View
MunichDE$101,52074Base200View
ParisFR$97,20081Base200View
StockholmSE$93,34272Base200View
HelsinkiFI$92,88076Base170View
BerlinDE$91,80070Base220View
TokyoJP$91,32179Base220View
DubaiAE$85,32068Base180View
MadridES$73,44056Base180View
WarsawPL$69,00047Base180View
LisbonPT$64,80053Base180View
BangaloreIN$44,66428Base220View
Mexico CityMX$44,66043Base180View
Sao PauloBR$40,68041Base180View

Source: Levels.fyi 2025 Data Engineer + US BLS OES May 2024 (SOC 15-1252) (2025)

What the range tells you

Across the 30 cities tracked for data engineer roles, the highest senior median sits in San Francisco ($308,000) and the lowest in Sao Paulo ($40,680). All figures are converted to USD at the rates noted in the methodology, so they are directly comparable; switch the display currency above to read them another way.

In USD terms the senior median spans about 657% from the lowest to the highest market, from $40,680 in Sao Paulo to $308,000 in San Francisco. Local tech-employer density and cost of living both feed that gap.

Two structural factors drive most of the variation: the local tech-pay level, which reflects how much the pool of employers in a city pays for the skill set, and whether senior figures are reported as total compensation. Markets where senior pay folds in bonus and equity show higher nominal medians than markets reported on base salary alone.

How pay grows with seniority

Median steps between tiers, shown for San Francisco as a single-currency example. The same documented multipliers (junior 0.65x, mid 1.00x, senior 1.45x, staff 2.05x) apply in every city, so the shape of the ladder is consistent even where the absolute numbers differ.

  • Moving from mid to senior, the median rises roughly 100% in San Francisco.
  • Moving from senior to staff, the median rises roughly 82% in San Francisco.
  • Across the full ladder, the highest tier median is about 5.6x the entry tier for data engineer roles here, before negotiation and individual level calibration.

See the full data engineer pay-by-level breakdown (L3-L7, IC vs manager)

Methodology and sources

Each city median for data engineer roles starts from an occupation-specific mid-level anchor, scales by the documented seniority multipliers, and is then adjusted to the local tech-pay level. Percentiles (10th, 25th, 75th, 90th) are fitted from the median using the dispersion the US Bureau of Labor Statistics reports for software occupations. Cost-of-living indices blend Numbeo 2025 and Mercer 2025. Senior and staff tiers are reported as total compensation in markets where verified equity and bonus data exist. Cross-city figures are shown in USD by default, converted from each market's local currency at approximate mid-market rates as of 2025-06; the currency switcher re-displays them without changing the underlying data.

Primary sources: Levels.fyi 2025 Data Engineer + US BLS OES May 2024 (SOC 15-1252) (2025), with US figures from the BLS Occupational Employment and Wage Statistics, UK figures from the ONS Annual Survey of Hours and Earnings, and verified-offer aggregates from Levels.fyi.

Reference data only. Reported medians describe a market; individual pay varies by employer, level calibration, and negotiation. Nothing here is financial advice.