{
"jobTitle": "data engineer",
"location": "usa",
"seniority": "any",
"remoteOnly": false,
"currency": "USD",
"basis": "annual",
"sampleSize": 354,
"companies": 249,
"salaryP10": 127000,
"salaryP25": 146000,
"salaryMedian": 177500,
"salaryP75": 208700,
"salaryP90": 253500,
"salaryAverage": 185600,
"typicalRangeLow": 157600,
"typicalRangeHigh": 213500,
"hourlyMedian": 85.34,
"lowSample": false,
"matchingPostings": 920,
"postingsWithPay": 355,
"payTransparencyRate": 38.6,
"remoteShare": 28.7,
"otherCurrencies": [
{
"currency": "MXN",
"sampleSize": 1,
"salaryMedian": 1440000
}
],
"topPayingCompanies": [
{
"company": "AXS",
"medianSalary": 452500,
"postings": 2
},
{
"company": "Anthropic",
"medianSalary": 362500,
"postings": 6
},
{
"company": "Network Bio",
"medianSalary": 332000,
"postings": 1
},
{
"company": "Mercor",
"medianSalary": 330000,
"postings": 1
},
{
"company": "OpenArt AI",
"medianSalary": 325000,
"postings": 1
}
],
"examplePostings": [
{
"title": "Data Engineer",
"company": "Anthropic",
"location": "San Francisco, CA | New York City, NY; Seattle, WA",
"country": "US",
"salaryMin": 320000,
"salaryMax": 405000,
"salaryCurrency": "USD",
"salaryInterval": "year",
"postedAt": "2026-10-30T23:34:18.000Z",
"url": "https://job-boards.greenhouse.io/anthropic/jobs/5464234008"
},
{
"title": "Senior Data Engineer",
"company": "Pontera",
"location": "New York, New York, United States",
"country": "US",
"salaryMin": 180000,
"salaryMax": 220000,
"salaryCurrency": "USD",
"salaryInterval": "year",
"postedAt": "2026-10-30T22:01:31.000Z",
"url": "https://job-boards.greenhouse.io/pontera/jobs/6239279004"
},
{
"title": "Director, BI & Data Engineering",
"company": "TriEdge Investments",
"location": "Remote, USA",
"country": "US",
"salaryMin": 165000,
"salaryMax": 195000,
"salaryCurrency": "USD",
"salaryInterval": "year",
"postedAt": "2026-10-30T21:29:53.756Z",
"url": "https://jobs.ashbyhq.com/triedge-investments/d635a7c6-6c51-49f8-80a7-16e596f3d208"
},
{
"title": "Senior Data Engineer (Contract)",
"company": "Teal Health",
"location": "San Francisco",
"country": "US",
"salaryMin": 90,
"salaryMax": 125,
"salaryCurrency": "USD",
"salaryInterval": "hour",
"postedAt": "2026-10-30T20:15:08.506Z",
"url": "https://jobs.ashbyhq.com/teal-health/77a1ce84-6782-4a0e-99cd-69ccda347845"
},
{
"title": "Senior Data Engineer",
"company": "Care Access",
"location": "USA Remote",
"country": "US",
"salaryMin": 120000,
"salaryMax": 160000,
"salaryCurrency": "USD",
"salaryInterval": "year",
"postedAt": "2026-10-30T14:07:41.000Z",
"url": "https://job-boards.greenhouse.io/careaccess/jobs/4473865009"
}
],
"source": "Pay ranges published in live job postings on company career sites (Greenhouse, Lever, Ashby, Workday, Recruitee, Personio, Oracle)",
"dataAsOf": "2026-11-02T09:05:24.233Z"
}
curl --location --request GET 'https://zylalabs.com/api/14625/salary+benchmark+api/37588/salary+benchmark?title=data engineer&location=usa' --header 'Authorization: Bearer YOUR_API_KEY'
注册后,每个开发者都会被分配一个个人 API 访问密钥,这是一个唯一的字母和数字组合,用于访问我们的 API 端点。要使用 薪资基准 API 进行身份验证,只需在 Authorization 标头中包含您的 bearer token。
| 标头 | 描述 |
|---|---|
授权
|
必需
应为 Bearer access_key. 订阅后,请查看上方的"您的 API 访问密钥"。
|
无长期承诺。随时升级、降级或取消。 免费试用包括最多 50 个请求。
(年度计费可节省 2 个月 🎉)
基于实时职位发布的任何职位名称和城市的薪资基准:中位数,第10百分位到第90百分位和高薪公司。每日。
从雇主在公共公司职业网站上(如Workday、Oracle、Greenhouse、Ashby、Lever等)发布的实时职位发布中的薪资范围:超过120万个开放职位,每天更新。没有LinkedIn或Indeed的抓取
每个职位的薪资范围被转换为年薪数字(每小时薪资x 2,080小时),其中点进入百分位:中位数、第10百分位、第25百分位、第75百分位和第90百分位,以及典型范围和每小时中位数。 不可信或宽于4倍的范围将被排除
任何城市 州或国家 或者空白时的任何地点 快捷方式也有效 usa uk 欧洲 加拿大 印度 拉美和亚太 匹配帖子使用的主要货币将显示结果 其他货币单独列出
不 这些是雇主在招聘公告中提供的薪资范围 而不是人们最终的工资 大多数有薪资的招聘公告来自科技和快速成长的公司 所以中位数高于所有行业的调查
后台的职位数据库每天都会重建 每个响应都包含确切时间的dataAsOf 在一个安静的时期第一次调用可能需要大约10秒钟来加载数据 之后的调用速度很快