17 publicaciones de empleo destacadas de devops engineer en desde casa (¡Están contratando!)

Senior Data Engineer & Cloud (AWS)
GOODS & SERVICES —Desde casa
- Home Office (Desde casa)
- Administración de personal
- DevOps
- SQL
Engineering Manager
Nexaminds —Desde casa
- Home Office (Desde casa)
- Azure
- Administración de personal
- DevOps
Postulación rápida
Full Stack Engineer (D2C), Mexico
HomeLight —Desde casa
- Home Office (Desde casa)
- DevOps
- Inglés
- Experiencia en bases de datos
- Ayuda o servicio de transporte
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Cloud Desktop Support Technician, 3rd Shift (Remote LATAM)
Atmosera —Desde casa
- Home Office (Desde casa)
- Azure
- DevOps
- Mejora continua
Postulación rápida
10d
Lead Application Security Engineer
Ellucian —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- DevOps
- Desarrollo de software
- Seguro dental
- Permiso de maternidad y paternidad
Software Engineer III- Python & MLOps
Confiz —Desde casa
- Home Office (Desde casa)
- Informática
- DevOps
- Java
Postulación rápida
Senior Solution Engineer - SI Partners - MX
Snowflake —Desde casa
- Home Office (Desde casa)
- Azure
- Doctorado
- Informática
Technical Support Liaison
NABIS —Desde casa
- Home Office (Desde casa)
- DevOps
- SQL
Senior Full-Stack Engineer (Remote Contractor in Mexico)
Research Solutions —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Informática
- DevOps
- Inglés
Postulación rápida
12d
Data Engineer- MS Fabric
Derevo —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
Postulación rápida
12d
Data Engineer Sr (Integración EPM/CPM – Fabric) / 100% Remoto
AXEN —Desde casa
- Home Office (Desde casa)
- Azure
- DevOps
- ERP systems
Principal Architect (Azure + AI)
3Pillar —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Administración de personal
- Informática
- Seguro de vida
Senior Database Reliability Engineer
Sezzle —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Informática
- DevOps
Senior QA Automation Engineer (Python | Selenium | Pytest)
3Pillar —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- DevOps
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
- Permiso de maternidad y paternidad
10d
Sr. LogScale/NG SIEM Customer Success Manager - Bilingual (Spanish/English) (Remote)
CrowdStrike —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Bilingüe
- Administración de personal
- Servicio al cliente
Data Management and BI Senior Executive, GOC
WPP Media —Desde casa
- Home Office (Desde casa)
- Azure
- Administración de personal
- DevOps
- Vacaciones adicionales o permisos con goce de sueldo
- Seguro de vida
Senior Consultant, Data & AI (Microsoft Fabric) (Remote LATAM)
Atmosera —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
Postulación rápida

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Senior Data Engineer & Cloud (AWS)

GOODS & SERVICES
Desde casa

Postúlate ahora

Información del empleo

Cualificaciones

Administración de personal
DevOps
Spark
SQL
S3
Apache
Redshift
Flask
Jenkins
Python
Gestión de identidades y accesos

Descripción completa del empleo

About Goods & Services

Goods & Services is a product design and engineering company.

We solve mission-critical challenges for some of the world’s largest enterprises, with deep expertise in highly regulated industries—including life sciences and financial services. Our design-led approach allows us to apply cutting-edge capabilities in AI, Data and Hardware Engineering to companies of any size.

Headquartered in the United States, we operate regional development centers in Mexico and the United Kingdom. This global footprint—anchored by our nearshore model—enables us to deliver at scale with the speed, efficiency, and cultural alignment our clients expect.

About the job

Goods & Services is looking for a Senior Data Platform Specialist / Cloud Data Engineer to design, build, and maintain scalable data pipelines and AWS data platform services. This role is focused on our AWS data stack, including AWS Glue, Redshift, Apache Airflow, and Apache Iceberg on S3, rather than general-purpose DevOps or cloud infrastructure ownership.

This is a hands-on role where you will work closely with analytics engineers, data scientists, and application developers to deliver reliable, cost-efficient data solutions, business-facing data models, and strong FinOps discipline.

What you’ll do:

Design, develop, and maintain scalable data pipelines and ETL/ELT processes across AWS cloud environments.
Manage and optimize data platforms using services such as AWS Glue, Redshift, Athena, S3, Glue Data Catalog, Lake Formation, and IAM.
Implement and orchestrate workflows with Apache Airflow for large-scale data processing and analytics.
Build and optimize data warehouse solutions and business-facing analytical models using dbt, Spark, and SQL.
Collaborate with cross-functional teams to deliver secure, scalable, and highly available data solutions.
Support CI/CD pipelines and deployment automation for data platform workflows, especially with CodeBuild, Jenkins, and GitHub Actions.
Architect and maintain lakehouse storage layers on S3 using Apache Iceberg and/or Delta Lake table formats.
Manage AWS Glue Data Catalog, crawlers, and Lake Formation permissions for data governance and access control.

What you’ll need:

5+ years of experience in data engineering, data platform, or cloud data engineering roles with a strong focus on AWS data services.
Hands-on expertise with AWS Glue (PySpark), Redshift, Athena, S3, Glue Data Catalog, Lake Formation, and IAM.
Production experience with Apache Airflow, including DAG development, scheduling, and multi-environment management.
Experience building data warehouse solutions and business-facing analytics models using dbt, Spark, and SQL.
Strong Python skills for building ETL/ELT pipelines and automation tooling.
Familiarity with lakehouse architectures using Apache Iceberg or Delta Lake on S3.

Nice to have:

Familiarity with CI/CD tooling such as Jenkins, GitHub Actions, and CodeBuild.
Basic familiarity with data-adjacent AWS infrastructure services such as Lambda, EventBridge, and SQS.
Experience building REST APIs with FastAPI or Flask, particularly for internal Redshift or data platform services.
AWS Certifications (Solutions Architect, Developer, or equivalent).

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