Maplebear Inc. salaries
Median $200,000 across 157 filings for IT roles, Jul 2023 to Jun 2026.
Calculate take-home pay on the calculator pageMedian
$200,000
Middle 50%
$183,000–$233,000
Filings
157
- Median is 56% above the median for all IT roles ($128,000).
- Most filings are wage Level IV (54%).
- Software Developers has the most filings (131), with a median of $200,000.
Salaries by role
| Role | Filings | Median |
|---|---|---|
| Software Developers | 131 | $200,000 |
| Database Administrators | 13 | $190,000 |
| Data Scientists | 6 | $227,500 |
| Software Quality Assurance Analysts and Testers | 3 | $110,000 |
| Computer Systems Analysts | 2 | $147,500 |
| Database Architects | 1 | $155,000 |
| Information Security Analysts | 1 | $250,000 |
Top metros
| Metro | Filings | Median |
|---|---|---|
| San Francisco-Oakland-Fremont, CA | 45 | $220,000 |
| San Jose-Sunnyvale-Santa Clara, CA | 29 | $230,000 |
| Seattle-Tacoma-Bellevue, WA | 27 | $201,000 |
| New York-Newark-Jersey City, NY-NJ | 15 | $180,000 |
| Austin-Round Rock-San Marcos, TX | 8 | $190,000 |
| Chicago-Naperville-Elgin, IL-IN | 4 | $147,500 |
| Los Angeles-Long Beach-Anaheim, CA | 3 | $250,000 |
| Binghamton, NY | 2 | $110,000 |
| Dallas-Fort Worth-Arlington, TX | 2 | $181,500 |
| Lafayette-West Lafayette, IN | 2 | $149,500 |
Level II 11%
Level III 35%
Level IV 54%
Take-home pay
| Gross | $200,000 |
| Federal income tax | $36,700 |
| Social Security | $11,400 |
| Medicare | $2,900 |
| State income tax | $14,500 |
| Health insurance (employee share) | $1,400 |
| Take-home per year | $133,000 |
| Take-home per month | $11,100 |
Tax year 2026, single filer.
Local taxes, 401(k), and filing status other than single are not included.
Tax rates checked against IRS, Tax Foundation, and other original sources on Oct 28, 2026.
This is an estimate. Actual taxes depend on your situation. Consult a tax professional before filing.
LCA filings are not hires.
Filed wages are offered base pay, not total compensation.
We did not independently verify the source files. Deduplication and filtering can cause differences from the original data.