20 publicaciones de empleo destacadas de data engineer en cuajimalpa, dif (¡Están contratando!)

EY GDS Mexico - Senior Data Engineer
EY —Miguel Hidalgo, CDMX
- Azure
- Administración de personal
- DevOps
Data Engineer
Creativo Integra —Mixcoac, CDMX
- Hasta $50,000 por mes
- Tiempo completo
- Trabajo híbrido
- DevOps
- Java
- SQL
- Seguro de vida
Postulación rápida
Senior Data & AI Integration Engineer
entropia AI —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- SQL
- Python
Postulación rápida
Senior Data Engineer - AI & ML Enablement
Solventum —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- Inglés
Lead Agentic Data Systems Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
- SQL
- Python
Data Engineer ( WestBend AMS )
Inetum Mexico —Ciudad de México, CDMX
- $50,000 a $65,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
Postulación rápida
Senior Associate Engineer, Product Technology
Celanese International Corporation —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Excel
- Informática
- Salesforce
Data Engineer
PALO IT —Ciudad de México, CDMX
- Azure
- DevOps
- Inglés
Postulación rápida
Data Engineer 1
HARTING México S.A. de C.V. —Residencial Militar, CDMX
- Azure
- Informática
- Inglés
Postulación rápida
Senior Software Development Engineer, Big Data
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Java
- C++
- JavaScript
Especialista en Ingeniería de Datos Azure
Capital Empresarial Horizonte —Benito Juárez, CDMX
- $60,000 a $80,000 por mes
- Tiempo completo
- Azure
- Inglés
- SQL
Postulación rápida
15h
Data Engineer
NEXU —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Inglés
Postulación rápida
Databricks Data Engineer
Accenture —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Java
Junior Kafka Engineer
Scotiabank —Miguel Hidalgo, Méx.
- Ingeniería
- Inglés
- Java
Oracle GoldenGate Engineer Middle - Replicación de Datos en Tiempo Real
Creativo Integra —Colonia Lomas de Chapultepec, CDMX
- $30,000 a $45,000 por mes
- Tiempo completo
- Oracle
- Ingeniería
- Inglés
- Seguro de gastos médicos
- Seguro de vida
Postulación rápida
10d
Principal Agentic Data Systems Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
- SQL
- Python
Support Engineer
NielsenIQ —Ciudad de México, CDMX
- $34,583 por mes
- Tiempo completo
- Trabajo híbrido
- Informática
- Maestría
- SQL
Postulación rápida
#119004 - Data Engineer
Lifted, an Upwork Company™ —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Informática
- Experiencia en bases de datos
Postulación rápida
Data Engineer (Azure) - Remote, Latin America
Bluelight Consulting —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Informática
- DevOps
4d
0147 - Data Engineer Sr
ALTEN MÉXICO —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- DevOps
- Java
- SQL
Postulación rápida

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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: 15 may 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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Quiero recibir la alerta de empleo más reciente para data engineer en cuajimalpa, dif

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