Elasticsearch salaries in San Francisco.
What Elasticsearch roles in San Francisco pay, from live listings on JobsRadar.
Compare with anotherMedian salary
$198,750
per year · annualized USD
Typical range
$169.9k – $237.5k
25th–75th percentile
Disclosing pay
86.6%
71 of 82 roles
Live roles
82
open right now
Salary trend
median · annualized USDSalary distribution
annualized USD · disclosed rolesHighest-paying jobs
Backend Engineer, Marketplace
Machine Learning Engineer, Marketplace
Software Engineer, Infrastructure
Manager, Software Engineering - Search & Recommendations
Senior Staff Applied AI Engineer - Context Retrieval
Staff Backend Engineer - Search FX (Discovery Experience)
Staff Software Engineer, Data Platform
DevX / Developer Operations (Partner 16, Partner 18), ASG
Peregrine Technologies
Elastic
Drata
DOSS
Brex
Iterable
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How much do Elasticsearch roles in San Francisco pay?
The median salary for Elasticsearch roles in San Francisco is $198,750 per year. Most pay falls between $169,938 (25th percentile) and $237,500 (75th percentile), with the broader 10th–90th percentile band running from $146,625 to $282,650.
These figures are computed live from 82 active Elasticsearch roles in San Francisco on JobsRadar, of which 71 (86.6%) publish a salary range. Pay is normalized to annualized USD so roles can be compared on equal terms; the highest-paying roles listed above show their original posted currency. Numbers refresh every few hours as new roles are posted and older ones close.
Employers currently hiring well-paid Elasticsearch roles in San Francisco include Mercor, Doppel, Figma and Databricks.
Salary transparency varies by employer and region, so the disclosing share above reflects only roles that publish pay — not every open position. Use it as a directional benchmark rather than an exact offer.