$160,000
mediana · por año, USD anualizado
$163,800
mediana · por año, USD anualizado
Staff+ Research Engineer, RL Data Platform
Pre-training Data Infrastructure Engineer
Staff / Principal Data Engineer
Software Engineer - Data Aquisition (systems)
Software Engineer, Data Acquisition
Software Engineer, Frontier Data Products
Software Engineer, Search Systems - Code Data
Data Engineer
Research Engineer - Environments, Data and Post-Training
Data Platform Engineer
Staff Machine Learning Operations Engineer
Machine Learning Engineer/Senior Machine Learning Engineer - Devops, AI for Drug Discovery
Principal Machine Learning Operations Engineer
Lead ML Engineer - Advance AI (applied ML, LLM's, ML Ops)
Senior / Staff ML Ops Engineer
Lead Software Platform Engineer, MLOps
Staff MLOps Engineer
Software Engineer - ML Ops (R37)
Senior Staff ML Ops Engineer
Matterport - Senior ML Ops Engineer
| Empresa | Mediana | Puestos |
|---|---|---|
Speechify
|
$170,000 | 144 |
Booz Allen Hamilton
|
$126,800 | 81 |
Accenture Federal Services
|
$149,800 | 28 |
CACI
|
$139,950 | 25 |
Olsson
|
$120,000 | 21 |
Leidos
|
$151,475 | 19 |
Northrop Grumman
|
$127,350 | 18 |
Blue Origin
|
$188,162 | 17 |
| Empresa | Mediana | Puestos |
|---|---|---|
Weekday AI
|
$202,800 | 2 |
Target
|
$197,000 | 2 |
Workday
|
$150,400 | 2 |
RELX
|
$140,450 | 2 |
Booz Allen Hamilton
|
$126,300 | 2 |
Shirley Ryan AbilityLab
|
$88,225 | 2 |
Garner Health
|
$324,500 | 1 |
AiDASH, Inc.
|
$250,000 | 1 |
| Ubicación | Mediana | Puestos |
|---|---|---|
| San Francisco | $211,000 | 192 |
| Seattle | $196,700 | 69 |
| New York | $192,736 | 213 |
| Los Angeles | $180,350 | 33 |
| Boston | $173,750 | 53 |
| Singapore | $165,000 | 5 |
| Austin | $161,450 | 51 |
| Chicago | $154,600 | 90 |
| Denver | $153,300 | 56 |
| Atlanta | $153,300 | 35 |
La mediana de Data Engineer es de $160,000 por año (normalmente $127,394–$198,009), frente a $163,800 de MLOps ($137,000–$193,500). Eso pone a MLOps alrededor de un 2% por delante en la mediana.
Ambas cifras se calculan en vivo a partir de ofertas activas en JobsRadar y se normalizan a USD anualizado, de modo que Data Engineer y MLOps se comparan en igualdad de condiciones independientemente de la moneda en la que se publicó originalmente cada puesto. Solo los puestos que publican un rango salarial alimentan las medianas; las cifras se actualizan cada pocas horas a medida que se publican nuevos puestos y se cierran los antiguos, así que esta comparación refleja el mercado actual y no una encuesta fija. Úsala como referencia orientativa al sopesar un camino frente a otro.