A Data Engineer (Databricks/Snowflake) earning the median salary of $160K in the US takes home approximately $120,626/year ($10,052/month) after federal income tax and FICA (Social Security and Medicare) - state tax optional, using 2026 rates.
2026 median salary for each level in the US, and what it leaves after federal income tax and FICA (Social Security and Medicare). State income tax is not included. Single filer, no state selected by default. 2026 federal rates.
| Level | Gross / year | Take-home / year | Per month | Effective rate |
|---|---|---|---|---|
| Junior | $110,000 | $86,215$7,185/mo | $7,185 | 21.6% |
| Mid-level | $150,000 | $113,791$9,483/mo | $9,483 | 24.1% |
| Senior | $196,000 | $145,945$12,162/mo | $12,162 | 25.5% |
| Lead / Principal | $248,000 | $181,869$15,156/mo | $15,156 | 26.7% |
The biggest pay step is Senior to Lead / Principal: $52,000 more a year before tax, of which $35,924 reaches take-home. 31% of that raise goes to federal income tax and FICA (Social Security and Medicare), against an average 26% on the Senior salary, because the extra pay is taxed at the top of your bands rather than spread across all of them.
Around the headline median, the middle half of Data Engineer (Databricks/Snowflake) salaries in the US run from $143,000 to $167,000 a year, which is $109,007 to $125,411 after federal income tax and FICA (Social Security and Medicare).
The table above uses the Data Engineer (Databricks/Snowflake) median. Enter your own gross salary below for a precise figure.
Federal tax + FICA is always included; state tax is optional. Select a state below to add it, it varies enormously (Texas and Washington charge none; California and New York City charge 13%+ combined), so leaving "No state selected" shows the federal baseline every W-2 employee pays.
2026 tax year, single filer. Standard deduction $16,100 (federal).
Common salaries:
Take-home pay
$120,626
Take-home for the full year.
Per month
$10,052
Per biweekly check
$4,639
Per week
$2,320
Effective tax rate
24.6%
How your $160,000 is split
$120,626
75.4%
$27,134
17.0%
$12,240
7.6%
| Gross salary | $160,000 |
| Federal tax | -$27,134 |
| Social Security | -$9,920 |
| Medicare | -$2,320 |
| Total deductions | -$39,374 |
| Net take-home (annual) | $120,626 |
Calculations use 2026 federal tax brackets and FICA (Social Security + Medicare) figures for a single filer. State tax, where selected, uses that state's own 2026 brackets or flat rate; New York additionally stacks New York City's local income tax on top. Leaving "No state selected" shows the federal-only baseline. Does not account for 401(k) contributions, HSA contributions, itemized deductions, or filing statuses other than single. For precise figures, consult the IRS or a tax professional.
Paycheck calculator by state
State income tax and payroll deductions change your take-home a lot. Pick your state for its 2026 salary table and brackets.
Permanent median
$160,000
$120,626 take-home
Contract median
$100/hour
≈ $192,000 gross a year
At a median $100/hour, contract work grosses about $192,000 a year over 1,920 billable hours (240 days), 20% more than the $160,000 permanent median. That premium has to pay for what an employer would otherwise cover: paid holiday and sick days, pension contributions, and the gaps between contracts.
Contract and permanent benchmarks come from separate samples, so treat the gap as a guide rather than a like-for-like quote. See Data Engineer (Databricks/Snowflake) contract rates and contractor take-home →
A Data Engineer (Databricks/Snowflake) earning the median salary of $160K in the US takes home approximately $120,626 per year ($10,052 per month) after federal income tax and FICA, using 2026 rates. This is a federal-only baseline; use the calculator below to add your own state's tax.
On a median Data Engineer (Databricks/Snowflake) salary of $160K with no state tax selected, the effective federal + FICA deduction rate is 24.6%, leaving $120,626 as take-home pay. Selecting a high-tax state like California or New York City can add another 8-14 percentage points.
On a $160K salary, a Data Engineer (Databricks/Snowflake) pays approximately $27,134 in federal income tax per year, after the $16,100 standard deduction, under the progressive 10%-37% brackets for 2026.
A Data Engineer (Databricks/Snowflake) pays 6.2% Social Security (up to the $184,500 wage base) and 1.45% Medicare on all wages, plus an extra 0.9% Additional Medicare Tax above $200,000. On a $160K salary, that's approximately $12,240 in combined FICA per year.
Yes, more than almost any other factor. Texas and Washington add no state income tax at all; Georgia, Illinois, and Colorado add a flat rate under 5%; California's progressive brackets reach 13.3%; and New York City residents pay New York state tax plus the city's own local tax stacked on top. Select a state in the calculator below to see the effect on this salary directly.
A senior Data Engineer (Databricks/Snowflake) in the US earns a median $196,000 a year and takes home approximately $145,945 ($12,162 per month) after federal income tax and FICA (Social Security and Medicare), an effective rate of 25.5%.
A junior Data Engineer (Databricks/Snowflake) in the US earns a median $110,000 a year and takes home approximately $86,215 ($7,185 per month) after federal income tax and FICA (Social Security and Medicare), an effective rate of 21.6%.
The biggest pay step is Senior to Lead / Principal: $52,000 more a year before tax, of which $35,924 reaches take-home. 31% of that raise goes to federal income tax and FICA (Social Security and Medicare), against an average 26% on the Senior salary, because the extra pay is taxed at the top of your bands rather than spread across all of them.
At a median $100/hour, contract work grosses about $192,000 a year over 1,920 billable hours (240 days), 20% more than the $160,000 permanent median. That premium has to pay for what an employer would otherwise cover: paid holiday and sick days, pension contributions, and the gaps between contracts. Contract and permanent benchmarks come from separate samples, so treat the gap as a guide.
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