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

EY GDS Mexico - Senior Data Engineer
EY —Miguel Hidalgo, CDMX
- Azure
- Administración de personal
- DevOps
Consultor de Ingeniero de Datos Remoto
NetPartners International —Ciudad de México, CDMX
- Español
- Azure
- Oracle
Postulación rápida
AI Engineer
BBVA —Miguel Hidalgo, CDMX
- Trabajo híbrido
- Ingeniería
- Maestría
- Recepción
1d
la26.042 - Data Engineering Lead
Tiger Analytics Inc. —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
Postulación rápida
Senior Data Platform Engineer
Nouryon —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
8d
Data scientist
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Inglés
- SQL
18h
Senior Software Engineer (Python + Distributed systems)
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- CAD
- Licenciatura
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Games Automation Engineer
Lionbridge —Ciudad de México, CDMX
- Informática
- SQL
- C++
12d
Senior Software Engineer, Big Data
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Desarrollo de software
Data Engineer 1
HARTING México S.A. de C.V. —Residencial Militar, CDMX
- Azure
- Informática
- Inglés
Postulación rápida
Machine Learning Engineer
Capital Empresarial Horizonte —Benito Juárez, CDMX
- $50,000 a $85,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Inglés
- Experiencia en bases de datos
Postulación rápida
10h
AI Engineer - Forward Deployed Engineer (Multiple Levels)
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Disponibilidad para viajar hasta un 50 %
- Experiencia en ventas
- Salesforce
1d
Databricks Architect
Luxoft —Ciudad de México, CDMX
- Azure
- DevOps
- Inglés
EY GDS Mexico - Senior AI Engineer
EY —Miguel Hidalgo, CDMX
- Azure
- Informática
- Maestría
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
12d
EHSS Platform Engineer
Takeda Pharmaceutical —Cuajimalpa, CDMX
- Tiempo completo
- Administración de personal
- Informática
- Inglés
- Seguro dental
- Seguro de la vista
Consultor/a de datos en Azure
SDG Group —Ciudad de México, CDMX
- Azure
- Inglés
- SQL
Postulación rápida
Senior Data Scientist
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Excel
- SQL
- Sin título de educación superior
Software Development Specialist
NTT Ltd —Ciudad de México, CDMX
- Azure
- Administración de personal
- Informática
2d
Consultor Databricks Senior
NetPartners International —Ciudad de México, CDMX
- Español
- Azure
- DevOps
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: 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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