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

Data Engineer - Databricks
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Informática
- DevOps
10h
Senior Analytics Engineer
Mastercard —Ciudad de México, CDMX
- Tiempo completo
- Experiencia en bases de datos
- SQL
- Python
14d
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
la26.042 - Data Engineering Lead
Tiger Analytics Inc. —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
Postulación rápida
Senior Data Engineer
Peek —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- Experiencia en bases de datos
- SQL
Consultor de Ingeniero de Datos Remoto
NetPartners International —Ciudad de México, CDMX
- Español
- Azure
- Oracle
Postulación rápida
Senior Data Engineer
Arkham Technologies —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Licenciatura
- Python
Postulación rápida
Senior Data Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Salesforce
- Experiencia en bases de datos
Oracle GoldenGate Engineer Md- Replicación de Datos en Tiempo Real
Creativo Integra —Colonia Lomas de Chapultepec, CDMX
- Desde $50,000 por mes
- Tiempo completo
- Trabajo híbrido
- Oracle
- Ingeniería
- Inglés
- Seguro de gastos médicos
- Seguro de vida
Postulación rápida
7d
Senior Data Platform Engineer
Nouryon —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
9d
Senior Software Engineer, Big Data
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Desarrollo de software
Analytics Engineer - Credit
Klar —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- Informática
- Inglés
Postulación rápida
Principal Agentic Data Systems Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
- SQL
- Python
Lead Agentic Data Systems Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
- SQL
- Python
Business Intel Engineer, MX CARPOOL
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Excel
- Oracle
- Maestría
2d
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
13d
Consultor/a de datos en Azure
SDG Group —Ciudad de México, CDMX
- Azure
- Inglés
- SQL
Postulación rápida
Software Development Specialist
NTT Ltd —Ciudad de México, CDMX
- Azure
- Administración de personal
- Informática
3d
JR-183528 SAP BW Consultant Lead
Customertimes —Ciudad de México, CDMX
- SQL
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
8d
Engineer, Marketing Analytics
Warner Bros. Discovery —Ciudad de México, CDMX
- Análisis de datos
- Experiencia en bases de datos
- SQL

Quiero recibir la alerta de empleo más reciente para data engineer en progreso nacional, dif

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Data Engineer - Databricks

Zurich Insurance -
Ciudad de México, CDMX

Postúlate ahora

Información del empleo

Hace 10 horas

Cualificaciones

Modelado de datos
Azure
Derecho
Informática
Big data
DevOps
Spark
Git
Inglés
Sistemas de información
Experiencia en bases de datos
SQL
Licenciatura
Sistemas de control de versiones
Apache
Kafka
Python

Descripción completa del empleo

#ZCC

Zurich Capability Center is currently hiring a:

Data Engineer - Databricks

Responsibilities

As a Data Engineer, your main tasks will involve:

Design, build, and maintain scalable data pipelines using Databricks and cloud-based data platforms.
Develop, optimize, and automate ETL/ELT processes to support analytics, reporting, and machine learning initiatives.
Work closely with Data Scientists, Analysts, ML Engineers, and business stakeholders to understand data requirements and deliver reliable datasets.
Implement data ingestion frameworks from multiple structured and unstructured data sources.
Build and maintain data models, data lakes, and data warehouses that support enterprise analytics needs.
Ensure data quality, consistency, governance, and security across platforms.
Optimize Spark workloads and Databricks environments for performance and cost efficiency.
Support deployment and operationalization of machine learning solutions by providing production-ready datasets and feature pipelines.
Collaborate with Azure, IT, and DevOps teams to implement CI/CD and DataOps best practices.
Monitor, troubleshoot, and continuously improve data platform performance and reliability.

Your Skills and Experience

As a Data Engineer, your skills and experience will ideally include:

Required

Bachelor's Degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field.
3+ years of experience in Data Engineering, Data Warehousing, or Big Data environments.
Strong programming skills in Python and SQL.
Hands-on experience with Databricks, Apache Spark, and distributed data processing.
Experience designing and developing ETL/ELT data pipelines.
Experience working with Data Lakes and modern data architectures.
Understanding of data modeling concepts including Star Schema and Dimensional Modeling.
Experience working with Git and version control systems.
Strong analytical and problem-solving skills.
English level B2 or higher.

Preferred Qualifications

Experience with Azure Data Platform services, including:

Azure Databricks
Azure Data Factory
Azure Data Lake Storage
Azure Synapse Analytics
Azure DevOps

Experience working with Delta Lake and Lakehouse architecture.
Knowledge of orchestration tools such as Airflow, Databricks Workflows, or Azure Data Factory.
Experience supporting Machine Learning use cases and MLOps practices.
Familiarity with MLflow and model deployment processes.
Knowledge of CI/CD, Infrastructure as Code, and DataOps practices.
Experience with streaming technologies such as Kafka or Event Hubs.
Experience working in Agile environments.
Insurance industry experience is a plus.

Nice to Have

Experience collaborating with Data Science teams and supporting AI/ML initiatives.
Knowledge of Generative AI, LLM data pipelines, vector databases, and embedding workflows.
Experience with Unity Catalog, data governance, and metadata management.
Exposure to cloud-native architectures and enterprise-scale data platforms.

If you are interested, please apply directly through this link or send your resume to [email protected].

Position available only for candidates located in Mexico City, State of Mexico, or Guadalajara. Please apply only if you reside in one of these areas.

Who we are

Looking for a challenging and inspiring work environment where you can make a difference? At Zurich millions of individuals and businesses place their trust in our products and services every day. Our 53,000 employees worldwide form the basis of our success, enabling, businesses and communities to face a world of risk with confidence. Imagine if you could help people do this all over the world. You’d give them confidence and reassurance by protecting what they love most. It’s a big challenge, but you will be supported by a world-class team who believe in helping you to reach your full potential and deliver on our promises.

So be challenged. Be inspired. Help us make a difference.

At Zurich we are an equal opportunity employer. We attract and retain the best qualified individuals available, without regard to race/ethnicity, religion, gender, sexual orientation, age, or disability.

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