20 publicaciones de empleo destacadas en backend engineer (remote mexico) (¡Están contratando!)

Sr Data Engineer (LATAM Remote)
UP.Labs —Guadalajara, Jal.
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Experiencia en bases de datos
.Net Engineer - Remote anywhere in México
Capgemini Sogeti —Guadalajara, Jal.
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
6d
Senior Backend Developer
EQUALS TRUE —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Inglés
- Python
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
.Net Engineer - Remote anywhere in México
Capgemini —Guadalajara, Jal.
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
5d
Principal Fullstack Engineer
Amalga Group —Benito Juárez, CDMX
- $70,000 a $100,000 por mes
- Tiempo completo
- Trabajo híbrido
- Inglés
- Experiencia en bases de datos
- SQL
Postulación rápida
Product Designer (Platform)
Revolut —Desde casa
- Home Office (Desde casa)
- Informática
- Maestría
- Licenciatura
AI Engineer - Android
Luxoft —Desde casa
- Home Office (Desde casa)
- Informática
- Inglés
- Licenciatura
Senior Software Engineer, Enterprise Reporting
LeadVenture —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Inglés
- SQL
Postulación rápida
7d
Founding Engineer (LATAM Remote)
UP.Labs —Guadalajara, Jal.
- Tiempo completo
- Home Office (Desde casa)
- DevOps
- JavaScript
- Python
Forward Deployed Engineer
Growth Protocol —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Inglés
- Python
Postulación rápida
7d
Senior React Native Engineer (iOS/Android + GraphQL) – Hybrid CDMX
Amalga Group —Nochebuena, CDMX
- $100,000 a $120,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Inglés
- JavaScript
Postulación rápida
Java Back End (Remote anywhere in México)
Capgemini —Guadalajara, Jal.
- Home Office (Desde casa)
- DevOps
- Java
- SQL
Senior MES Integration Engineer Systems, Changes Integration Remote Position
SVAM International de Mexico, S. de R.L. de C.V. —Ciudad Victoria, Tamps.
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- Experiencia en bases de datos
- SQL
Postulación rápida
Full-Stack Engineer
GSB —Ciudad de México, CDMX
- $110,000 por mes
- Tiempo completo
- Azure
- Inglés
- Java
Postulación rápida
7d
Senior Mobile Software Engineer | Contractor
Very LLC —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Informática
- DevOps
Postulación rápida
Senior Software Engineer
Impulse latam —Miguel Hidalgo, CDMX
- $70,000 a $85,000 por mes
- Tiempo completo
- Inglés
- JavaScript
- Python
Postulación rápida
4d
Sr. Backend Engineer + DevOps
Nexaminds —Edo. de México
- Home Office (Desde casa)
- Azure
- Administración de personal
- DevOps
Postulación rápida
11d
Software Engineer II
EarnIn —Ciudad de México, CDMX
- Home Office (Desde casa)
- Informática
- Maestría
- Licenciatura
Postulación rápida
13d
Forward Deployed Engineer
Platzi —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Inglés
- JavaScript
- HTML
Postulación rápida
Java + React + AWS - Level III (Remote)
Confiz —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Informática
- Java
- Maestría
Postulación rápida

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Sr Data Engineer (LATAM Remote)

UP.Labs
Guadalajara, Jal.

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Información del empleo

Tiempo completo

Cualificaciones

Azure
Bases de datos relacionales
DevOps
Google Cloud Platform
Experiencia en bases de datos
SQL
PostgreSQL
gRPC
Python

Descripción completa del empleo

Sr Data Engineer (LATAM Remote)

Remote • Guadalajara, Mexico

Engineering

Remote

Full-time

Overview

UP.Labs is a dynamic venture studio dedicated to building innovative startup companies from the ground up. Our team thrives on solving complex problems, driving technological advancements, and creating impactful digital products.

We're seeking a highly skilled professional to join our growing team and contribute to our mission of launching the next wave of successful startups.

Technical Challenge

As a Data Engineer, you will work across multiple systems, collaborating closely with various teams. You’ll need to wear several hats typical to a startup environment and be responsible for end-to-end delivery, extending beyond traditional data engineering tasks. You'll manage the data infrastructure and serve data to both internal and external systems through APIs, ensuring high-quality, scalable solutions.

Responsibilities

Build and maintain scalable batch and streaming data pipelines that ingest, transform, and serve data for analytics and downstream applications.
Develop and operate backend data services and APIs to enable secure, reliable access to curated datasets and metrics.
Translate analytics and business intelligence needs into trusted data models, transformations, and reusable datasets.
Implement Python-based solutions for data processing and analysis.
Manage and maintain highly efficient data architectures, ensuring scalability and performance.
Develop and maintain APIs (REST, gRPC) to serve data to internal or external systems.
Build and refine CI/CD processes to improve data workflows and ensure seamless deployments.
Implement and maintain cloud and DevOps foundations (IaC, CI/CD, containers, orchestration) to ensure secure, repeatable, and scalable delivery of AI services.
Collaborate with teams across engineering, data science, and product to deliver robust data solutions.
Apply deep knowledge of data engineering best practices and frameworks, ensuring data integrity and security.
Work across multiple cloud environments such as GCP, Azure and AWS.

Required Skills

Strong data engineering experience delivering production-grade pipelines and data platforms, with an emphasis on reliability and maintainability.
Backend development capability, including writing clean, testable services and pipeline code in Python.
Advanced SQL skills, including building complex transformations and optimizing query performance.
Experience working with relational databases such as PostgreSQL, including schema design and performance tuning.
Working knowledge of Databricks for data processing and platform usage in support of data engineering workloads.
Experience using dbt to build, version, and manage analytics transformations and models.
Work across multiple cloud environments such as GCP, Azure and AWS.
Ability to apply foundational DevOps and cloud infrastructure practices—monitoring, CI/CD, environment management, and reliability—consistent with DevOps & Cloud Infrastructure expectations.

Preferred Skills

Experience working with Snowflake for cloud data warehousing, modeling, and performance optimization.
Familiarity applying GenAI to data workflows, such as data enrichment, quality checks, or analytics copilots.

UPLabs Summary

We build high-growth technology startups that enable faster, cleaner, and safer movement of people and goods. Our vision is to transform the moving world by pairing leading corporations and entrepreneurs with a proven methodology for launching and scaling software and hardware companies.

We work with corporate investors over a multi-year period to launch a portfolio of mobility-focused ventures. Our team is dedicated to the first year of a new venture's life cycle, from ideation to minimum viable product build (and beyond) to recruiting and hiring the full-time team who will scale the business.

Location: Remote

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Quiero recibir la alerta de empleo más reciente para backend engineer (remote mexico)

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