11 publicaciones de empleo destacadas de data engineer en guadalajara, jal (¡Están contratando!)

Software Engineer, Data Infrastructure & Acquisition - Guadalajara, Mexico
Speechify —Guadalajara, Jal.
- Home Office (Desde casa)
- Doctorado
- Informática
- Maestría
3d
Data Engineer (Azure) - Remote, Latin America
Bluelight Consulting —Zapopan, Jal.
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Informática
- DevOps
Data Engineer (Databricks)
Nexaminds —Guadalajara, Jal.
- Home Office (Desde casa)
- Azure
- SQL
- Python
Postulación rápida
Data Engineer | Databricks Experience
Avnet —Tlaquepaque, Jal.
- Tiempo completo
- SQL
- Licenciatura
- Sin título de educación superior
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
DataStage Senior Engineer
HCLTech —Guadalajara, Jal.
- Azure
- DevOps
- SQL
Senior Data Engineer
KMS Technology —Guadalajara, Jal.
- Tiempo completo
- Trabajo híbrido
- Vacaciones adicionales o permisos con goce de sueldo
- Programa de referidos
Postulación rápida
Sr Data Engineer (LATAM Remote)
UP.Labs —Guadalajara, Jal.
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Experiencia en bases de datos
Data Engineer - remoto - 2727
Xideral —Guadalajara, Jal.
- Home Office (Desde casa)
- Azure
- Inglés
- SQL
Postulación rápida
Lead Data Engineer
VIPRE Security Group —Guadalajara, Jal.
- Correo electrónico
- Salesforce
- Experiencia en bases de datos
- SQL
- Vacaciones adicionales o permisos con goce de sueldo
Analytics Engineer – R01564345
Brillio —Guadalajara, Jal.
- Microsoft Excel
- SQL
Ingeniero de Datos
PROGRAMMING.COM —Guadalajara, Jal.
- Tiempo completo
- Home Office (Desde casa)
- Azure
- SQL
- Disponible para viajar
Postulación rápida

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Ingeniero de Datos
PROGRAMMING.COM —Guadalajara, Jal.
✅ 3–6 years of Data Engineering experience. ✈️ Occasional travel may be required. Sports domain experience is required. ✅ Strong Python and SQL skills.
Postulación rápida
LIDER INGENIERO DE DATOS E IA
Pisa Farmacéutica —Guadalajara, Jal.
SQL, procesamiento de datos y consumo para analítica o IA. Vive tu propósito y marca la diferencia con Grupo PiSA. En plataformas cloud (AWS, GCP, AZURE).
11d

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Software Engineer, Data Infrastructure & Acquisition - Guadalajara, Mexico

Speechify
Guadalajara, Jal.

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Información del empleo

Hace 3 días

Cualificaciones

Google Docs
Doctorado
Informática
Google Cloud Platform
Maestría
Bash
Docker
Licenciatura
Desarrollo de software
Linux
Recolección de datos
Python
Shell Scripting

Descripción completa del empleo

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You'll Do

Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.

An Ideal Candidate Should Have

BS/MS/PhD in Computer Science or a related field.
5+ years of industry experience in software development.
Proficiency with bash/Python scripting in Linux environments
Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
Experience with web crawlers, large-scale data processing workflows is a plus
Ability to handle multiple tasks and adapt to changing priorities.
Strong communication skills, both written and verbal.

What we offer

A fast-growing environment where you can help shape the company and product.
An entrepreneurial-minded team that supports risk, intuition, and hustle.
A hands-off management approach so you can focus and do your best work.
An opportunity to make a big impact in a transformative industry.
Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
Opportunity to work on a life-changing product that millions of people use.
Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you're a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit?

Refer them!

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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