Jobiba Salary Intelligence
Junior Lead Senior Software Engineer 2c Data Layer salary in Mountain View
Salary range, market position, recent movement, location comparisons and matching live jobsβcalculated from comparable Jobiba listings rather than copied salary tables.
Typical market range
Pay data under review
These figures did not pass Jobiba's consistency checks, so we are not showing them until the data is reviewed. Live jobs below are still current.
Analyze my salary βSalary distribution
Where the market sits
Market movement
Not enough historical evidence yet. Trend is shown only when both 90-day windows have enough comparable observations, preventing noisy βgrowthβ claims from tiny samples.
Location intelligence
Compare Junior Lead Senior Software Engineer 2c Data Layer pay by market
Currencies are never blended or silently converted
San Francisco
52 samples$205,150
$181,875β$217,000 typical
San Mateo
45 samples$220,020
$196,750β$243,290 typical
Mountain View
26 samples$193,930
$178,050β$193,930 typical
New York
24 samples$215,500
$215,000β$228,125 typical
Toronto
23 samplesCA$136,000
CA$136,000βCA$202,500 typical
- USA
14 samples$186,065
$186,065β$186,065 typical
New York City
9 samples$210,000
$126,000β$212,500 typical
AB
9 samplesCA$168,000
CA$168,000βCA$172,750 typical
San Francisco Bay Area
7 samples$208,250
$208,125β$232,750 typical
Live opportunity layer
Junior Lead Senior Software Engineer 2c Data Layer jobs in Mountain View
Senior Software Engineer, Video Streaming
Mountain View, California
Senior Software Engineer, Networking & Real-Time Systems
Mountain View, California
Senior Software Engineer, Sensor Platform
Mountain View, California
Senior Software Engineer, Devices Platform
Mountain View, California
Senior Software Engineer, Devices Platform
Mountain View, California (HQ)
Senior Software Engineer, Localization and Mapping
Mountain View, California (HQ)
Senior Software Engineer, Perception ML Data
Mountain View, California (HQ)
Staff/Senior Software Engineer, Onboard Infrastructure
Mountain View, California
How Jobiba calculates this
Evidence first, estimate second
- β’ Uses recent active Jobiba listings that contain employer/source salary data.
- β’ Requires an explicit salary currency and pay period before a listing can enter an aggregate.
- β’ Applies broad currency-specific plausibility floors/ceilings, then rejects extreme statistical outliers.
- β’ Groups title variants through Jobiba's canonical salary-role taxonomy so current estimates and historical trends use the same comparable cohort.
- β’ Annualizes hourly, daily, weekly and monthly pay; no foreign-exchange conversion is used.
- β’ Uses percentile medians and publishes a range only after the minimum comparable sample is reached.
- β’ Labels inferred pay on salary pages/jobs as a Jobiba estimate, never as employer-provided compensation.
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