Data Engineer
In short
- →Construyes y mantienes pipelines de datos en SparkSQL y PySpark para datos IoT y dispositivos.
- →Trabajas con datos estructurados y no estructurados (video, audio, sensores) en un data lake central.
- →Impacto real: tus soluciones ayudan a mejorar seguridad, eficiencia y sostenibilidad en operaciones del mundo real.
Fluency in English required for collaboration with global teams
In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Your first dossier is free.
The questions they'll ask you
1. ¿Cómo has diseñado un pipeline de datos con PySpark para procesar datos no estructurados como video o audio?
No card. Upload your resume and the full dossier is ready in ~1 minute.
💵 USD · Remote · No visa
Not finding what you want? Try Micro1
Micro1 places engineers directly at US companies paying in USD. One vetting, multiple offers — no cold applying.
What they ask for
- ✓Experiencia con SparkSQL y PySpark en entornos productivos.
- ✓Dominio en diseño y mantenimiento de pipelines de datos confiables.
- ✓Capacidad para integrar datos externos con datos internos.
- ✓Experiencia trabajando con datos no estructurados (video, audio, sensores).
- ✓Habilidades colaborativas en equipo multidisciplinario (Data Science, ML, Product).
- ✓Enfoque centrado en el cliente y métricas de impacto real.
Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.
Who should you write to at Samsara?
Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.
More jobs like this
Looking for something similar?
Leave your email and we'll alert you when matching jobs appear.
Don't apply unprepared
We research who's interviewing you, tailor your CV and rehearse you live — first one free.