20 publicaciones de empleo destacadas en sr. engineer, data (data governance team) (¡Están contratando!)

Senior Data Engineer & Cloud (AWS)
GOODS & SERVICES —Desde casa
- Home Office (Desde casa)
- Administración de personal
- DevOps
- SQL
Data Engineer (Azure Databricks ) «Senior»
Information Technologies Consultant Home S.A. de C.V. —Jalisco, Jal.
- Azure
- Inglés
Supply Chain Analytics Engineer
Dana Incorporated —Querétaro, Qro.
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
IAM Technical Manager
Hitachi —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Inglés
- Liderazgo
9d
Sr Engineer, IT, AI Enablement
Micron —Tlaquepaque, Jal.
- Azure
- Administración de personal
- Informática
Senior Cloud Infrastructure Engineer (Remote LATAM)
Atmosera —Desde casa
- Home Office (Desde casa)
- Bilingüe
- Azure
- Administración de personal
Postulación rápida
PMTS - Principal Agentic Data Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
- SQL
- Python
13d
Senior AI/ML Engineer
TechCXO —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Doctorado
- Informática
- Inglés
Postulación rápida
Senior Manager, Data Engineering
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- CAD
- SQL
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
6d
GRC Analyst (Remote LATAM)
Atmosera —Desde casa
- Home Office (Desde casa)
- Microsoft Powerpoint
- Azure
- DevOps
Postulación rápida
Senior Observability / Monitoring Engineer – R01564150
Brillio —Guadalajara, Jal.
- Azure
- Administración de personal
- Salesforce
Senior PBAC Engineer
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Administración de personal
- Inglés
- Java
- Vacaciones adicionales o permisos con goce de sueldo
Senior Data Systems Engineer, Oracle AI Database Private Agent Factory
Oracle —Zapopan, Jal.
- Tiempo completo
- Oracle
- JavaScript
- Desarrollo de software
Applied AI Engineer (Automation)
Fusemachines —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Administración de personal
- Doctorado
Senior Engineer – Observability Engineering
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Azure
- Informática
- Maestría
Postulación rápida
Senior DevSecOps Engineer - Part time
3Pillar —Desde casa
- Home Office (Desde casa)
- Azure
- Administración de personal
- Informática
- Seguro de vida
O365 Messaging Senior Engineer
BSA-JLL - LaSalle Partners, MEX —Jalisco, Jal.
- Tiempo completo
- Azure
- Administración de personal
- Informática
Postulación rápida
Senior Critical Environment Operations
Microsoft —Querétaro, Qro.
- Turno de 12 horas
- Azure
- Inglés
- Microsoft Office
Senior Network Engineer
Luxoft —Guadalajara, Jal.
- Azure
- Inglés
- Python
Technology Risk & Controls Director (CISO - Cyber)
JPMorganChase —Colonia Lomas de Chapultepec, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
1d

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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).

Postúlate ahora

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Quiero recibir la alerta de empleo más reciente para sr. engineer, data (data governance team)

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