20 publicaciones de empleo destacadas de machine learning platform engineer en progreso nacional, dif (¡Están contratando!)

EY GDS Mexico - Senior Data Engineer
EY —Miguel Hidalgo, CDMX
- Azure
- Administración de personal
- DevOps
Marketing Data Scientist, Data & AI Enablement
Vonage —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- Doctorado
- Maestría
Postulación rápida
Senior Software Engineer - AI I
Thomson Reuters —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Research Engineering Automation
Teradata —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Maestría
- SQL
AI DevOps Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Azure
- Informática
Arquitecto MLOps / IA en GCP
Capital Empresarial Horizonte —Benito Juárez, CDMX
- $50,000 a $80,000 por mes
- Tiempo completo
- Oracle
- DevOps
- Inglés
Postulación rápida
7d
Intelligent Automation Lead Engineer
NTT Ltd —México, Méx.
- Tiempo completo
- Azure
- DevOps
- Mantenimiento
Principal AI Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos
Senior Artificial Intelligence DevOps Engineer
Cotiviti —Ciudad de México, CDMX
- Tiempo completo
- Bilingüe
- Azure
- Informática
2d
Director of AI/ML
Solventum —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Doctorado
- Informática
Senior Data Engineer (Ingeniero de Datos Senior)
Cotiviti —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Powerpoint
- Bilingüe
- Microsoft Word
Lead Data Scientist
Mastercard —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Python
Senior ML Engineer (Hybrid opportunity)
Hyatt Corporate Office —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Maestría
- Vacaciones adicionales o permisos con goce de sueldo
Senior Data Scientist
Jellyfish —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Inglés
- SQL
- Python
Postulación rápida
Senior .Net Developer
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- DevOps
- Seguro de vida
AWS Cloud Solutions Architect - Mexico
Mobiz —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- DevOps
- Contratos
Postulación rápida
Senior Data Engineer
Arkham Technologies —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Licenciatura
- Python
Postulación rápida
Sr Data Scientist
PRGX Global, Inc —Colonia Lomas de Chapultepec, CDMX
- Tiempo completo
- Azure
- Informática
- Inglés
Postulación rápida
8d
Software Development Engineer, Big Data
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- DevOps
- Java
4d
Staff / Senior C++ Engineer (Windows Systems)
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- C++
- Desarrollo de software
- Seguro de vida

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EY GDS Mexico - Senior Data Engineer

EY -
Miguel Hidalgo, CDMX

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Información del empleo

Cualificaciones

Power BI
Modelado de datos
Azure
Administración de personal
DevOps
Tableau
Maestría
Licenciatura
Seguridad
Ciencia de los datos

Descripción completa del empleo

Locación: Miguel Hidalgo

Otra ubicación: Solo ubicación principal

Salario: Competitiva

Fecha: 13 jun 2026

Descripción del trabajo

ID de la Requisición: 1701692

EY GDS is actively recruiting an accomplished Data Engineer to join our team. We are looking for an expert with rich experience designing, building and maintaining data products and at scale, ensuring data quality, high performance processing and serving data ready for Business Analytics and Machine Learning models.

Successful candidate will work closely with client stakeholders (business and technical) assessing their current data solutions and processes to provide insights and better practices, while implementing data solutions, bringing consultancy mindsets and demonstrating strong flexibility to adapt to different cloud platforms and tools.

As Data Engineer, you will not only collaborate with client stakeholders but also work closely with different other roles such as product owners, scrum masters, data analysts and data engineers, forming part of a multi-disciplinary team.

Responsibilities:

Design, build and maintain data products and systems for collecting, storing and processing data at scale, ensuring data quality, high performance processing and serving data ready for Business Analytics and Machine Learning models.

Collaborate with stakeholders, product owner and or/analyst to translate the client needs to actionable insights, enabling organizations to make data driven decisions through implementation.

Adhere and/or document and Implement development best practices, methodologies, techniques and technologies for ETL/ELT, near real time and real time processing as well as data serving based on the business use cases.

Ensure the quality and performance of deliverables by applying QA to the components.

Automate the integration and delivery through DevOps tools

Desired Experience:

A Minimum of 4 years of experience as Data Engineer implementing solutions on Databricks on AWS/Azure (Must).

A Minimum of 1 years of experience as Data Engineer implementing solutions on Databricks on AWS/Azure (Nice to Have)

Proven experience defining and implementing wide enterprise data solutions.

Hands-on experience implementing DataWarehouse, DataLake, Lakehouse solutions (Databricks is a must).

Hands-on experience creating report/dashboard/KPIs with any of next BI tools: PowerBI, Tableau.

Proven experience integrating data product solutions with Data Cataloging, Data Lineage and Master Data Management tools.

Proven experience implementing best practices, techniques and/or tools to ensure the quality, security and performance of the solutions.

Experience working with CI/CD strategies and tools.

Requirements:

A Bachelor's or Master's Degree in Computer software engineer, Data science or a related field.

Strong proficiency with databricks in AWS (jobs, notebooks, delta tables, unity catalog, etc.)

Strong proficiency with engineering concepts, standards, strategies and tools

Strong proficiency with Data Modeling, storage, partitioning, optimization

Strong proficiency with cloud platforms services (AWS and/or Azure).

Excellent communication skills, both written and verbal.

A consulting mindset with the capacity and enthusiasm to learn and implement new technologies.

We are looking for passionate individuals who are excited about build and implement data solutions and products and leverage the correct use of emerging technologies and frameworks. If this resonates with you, we strongly encourage you to apply.

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machine learning platform engineer empleos en progreso nacional, dif

EY GDS Mexico - Senior Data Engineer

Marketing Data Scientist, Data & AI Enablement

Senior Software Engineer - AI I

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Quiero recibir la alerta de empleo más reciente para machine learning platform engineer en progreso nacional, dif

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