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
Senior Clinical Data Engineer (LATAM)
Precision Medicine Group —Desde casa
- Home Office (Desde casa)
- Administración de personal
- Inglés
- SQL
Senior Data Software Engineer (Qlik Replicate)
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- Oracle
- Inglés
8d
Senior Data Platform Engineer
Nouryon —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Data Engineer Sr
Accenture —Mérida, Yuc.
- Tiempo completo
- Azure
- Inglés
- Python
Senior Clinical Data Engineer (LATAM)
Precision for Medicine —Desde casa
- Home Office (Desde casa)
- Administración de personal
- Inglés
- SQL
Postulación rápida
Sr. Database & Infrastructure Engineer
BSL-LIM Mexico —Jalisco, Jal.
- Tiempo completo
- Azure
- Oracle
- Administración de personal
Postulación rápida
Sr Advanced AI Data Engineer
Honeywell —Monterrey, N. L.
- Tiempo completo
- Microsoft Excel
- Azure
- DevOps
Continuous Improvement Engineer
Brunswick Corporation —Ensenada, B.C.
- Tiempo completo
- Microsoft Excel
- ERP systems
- Licenciatura
1d
Senior Infrastructure & Observability Engineer
SoftwareOne —Polanco IV Sección, CDMX
- Tiempo completo
- Azure
- Administración de personal
- DevOps
Senior AI Data Engineer
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- CAD
- SQL
- Presencial
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Engineering Manager Sr - DF072IO
Coderio —Desde casa
- Home Office (Desde casa)
- Azure
- Administración de personal
- Inglés
Postulación rápida
Senior Artificial Intelligence DevOps Engineer
Cotiviti —Ciudad de México, CDMX
- Tiempo completo
- Bilingüe
- Azure
- Informática
Principal Agentic Data Systems Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
- SQL
- Python
Senior Manager, FP&A – Mexico COE
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Microsoft Excel
- Administración de personal
- ERP systems
- Seguro de vida
SR Software Engineer (Data focus) - (Remote, LATAM)
ITX Corp —Monterrey, N. L.
- Tiempo completo
- Home Office (Desde casa)
- Bilingüe
- Azure
- Inglés
Postulación rápida
9d
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
Supply Chain Analytics Engineer
Dana Incorporated —Querétaro, Qro.
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
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

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Senior Data Engineer & Cloud (AWS)

GOODS & SERVICES
Desde casa

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

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