20 publicaciones de empleo destacadas de expert data engineer en escandón ii sección, dif (¡Están contratando!)

AI Native Data Engineer
PALO IT —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- Administración de personal
- ERP systems
Postulación rápida
Recruiting Operations Specialist (Contractor)
Helix —Ciudad de México, CDMX
- $43,750 a $617,000 por año
- Trabajo híbrido
- Inglés
- Reclutamiento
Sr. Manager SRE (Individual Contributor)
Capital One —Ciudad de México, CDMX
- Correo electrónico
- Azure
- DevOps
- Java
Technical Services Engineer
MongoDB —Ciudad de México, CDMX
- Azure
- Administración de personal
- Servicio al cliente
- Permiso de maternidad y paternidad
Infrastructure Engineer Sr.
Accenture —Ciudad de México, CDMX
- Tiempo completo
- Licenciatura
Senior Data Analyst
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- Experiencia en ventas
- Seguro de vida
9d
Full Stack Developer/AI Engineer
WPP —Ciudad de México, CDMX
- Azure
- Inglés
- Python
14d
Principal Agentic Data Systems Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
- SQL
- Python
Data Scientist/Engineer - Early Career
Shift Technology —Ciudad de México, CDMX
- Tiempo completo
- Licenciatura
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Software Development Senior Analyst
NTT Ltd —Ciudad de México, CDMX
- Azure
- Oracle
- SQL
5d
Hyper-V / SCVMM Migration Specialist
Arcadion —Colonia Polanco, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Inglés
Postulación rápida
Senior Engineer, DevOps Engineering
Bain & Co. —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Postulación rápida
13d
Solution Architect
Ericsson —Ciudad de México, CDMX
- Inglés
- Maestría
- Licenciatura
14d
Lead Software Engineer AI (Staff Engineer)
Thomson Reuters —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- Licenciatura
QA Test Manager
NTT Ltd —Ciudad de México, CDMX
- Azure
- Administración de personal
- DevOps
Analytics Associate Director, GOC
WPP Media —Ciudad de México, CDMX
- Azure
- Administración de personal
- DevOps
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Lead Full Stack Web Developer and Shopify Expert
Onda —Álvaro Obregón, CDMX
- $15 a $25 por hora
- Tiempo completo
- Administración de personal
- SQL
- JavaScript
Postulación rápida
PPCO Supervisor
General Motors —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Inglés
- Disponible para viajar
6d
Azure Engineer III
McDonald's Corporation —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Microsoft Access
- Azure
- Administración de personal
Postulación rápida
Finance Sr Analyst
PepsiCo —Miguel Hidalgo, CDMX
- Microsoft Powerpoint
- Microsoft Excel
- Azure

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AI Native Data Engineer

PALO IT -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo

Cualificaciones

Looker
Power BI
Azure
Administración de personal
Riesgos de préstamos
Spark
ERP systems
Inglés
Google Cloud Platform
Tableau
SQL
Análisis de riesgo
Apache
Kafka
Redshift
Python

Descripción completa del empleo

Who We Are

Building the AI-first frontier enterprise.

We are a global technology consultancy with a trademarked, AI-first approach—Gen-e2. It redefines how enterprises build digital products and transform their organizations with AI. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

We are small enough to care locally, big enough to deliver globally (10 countries, 450+ experts from 50+ nationalities)
We are becoming an agentic organization, adopting the AI-native operating model we bring to our clients.
We are robust and resilient (100% independent, 0 debt, founded 2009)
We are AI-native professionals who invest in what we believe and work as a collective intelligence
We are positive, courageous and deliver at the leading edge.

Your Role

As a Data Engineer for a leading insurance company, you will play a key role in building a data-driven decision-making culture. You will design resilient and secure solutions that transform raw data into strategic insights for underwriting, risk management, fraud prevention, and customer experience.

Design, build, and maintain scalable and secure data pipelines in cloud environments (AWS, GCP, or Azure).
Integrate large volumes of structured and unstructured data from core insurance systems (such as policies, claims, CRM, ERP).
Automate data ingestion, transformation, and quality processes using tools such as Apache Spark, dbt, Kafka, and Airflow.
Build and maintain modern data lakes and warehouses (Snowflake, BigQuery, Redshift).
Implement data quality, lineage, and governance validations (Great Expectations, Deequ, OpenMetadata).
Ensure compliance with data regulations (GDPR, SOC2, etc.) and internal security policies.
Design optimized datasets to enable machine learning models, predictive analytics, and dashboards (Power BI, Looker, Tableau).
Collaborate with data scientists, architects, and business stakeholders to democratize access to trusted data.
Document data architectures, pipelines, transformation standards, and lineage.

Who You Are.

Experience with modern data processing frameworks: Spark, databricks, dbt, Kafka, Apache Beam.
Strong command of Python and advanced SQL.
Hands-on experience with Azure cloud platforms (Data Factory, Synapse).
Knowledge of modern Data Lake / Data Warehouse design (Snowflake, Redshift, BigQuery).
Familiarity with DataOps, testing, and CI/CD practices in data pipelines.
Experience with workflow orchestration systems such as Airflow or Dagster.

Understanding of data quality and governance frameworks: Great Expectations, Deequ, DataHub, OpenLineage.
Knowledge of streaming technologies: Kafka, Pub/Sub, Kinesis.
Upper-intermediate English level (B2 or higher) for global collaboration.

Nice to Have

Familiarity with event-driven architectures and microservices.
Previous experience in the financial or insurance sector.
Certifications such as Azure Data Engineer or Fabric Data Engineer.
Experience with MLOps solutions (Vertex AI, SageMaker, MLFlow).

AI-Native Engineering (Core Expectation)

Use Generative AI coding tools (e.g., GitHub Copilot, Cursor) as a first-class engineering assistant for:
Code scaffolding and refactoring
Code generation and optimisation
Test-cases and documentation generation
Build applications through AI-driven development practices, including:
AI-assisted debugging and troubleshooting
Intelligent code completion and pattern recognition
Automated documentation generation
Apply prompt engineering best practices for reliable, repeatable engineering outcomes.
Validate GenAI output (determinism checks, guardrails, fallback logic).

More About PALO IT

Our clients include some of the world’s most successful companies. We collaborate with leading enterprises, next-generation businesses and frontier partners, shaping what comes next, helping them scale AI and solve complex business and technology challenges.

What We Offer

Stimulating working environments
Unique career path
International mobility
Internal R&D projects (including Gen-e2)
Knowledge sharing
Personalized training via PALO IT Academy
Entrepreneurship & intrapreneurship

For more on our team culture and benefits, check out our careers page.

Postulación rápida

Refina tu búsqueda

expert data engineer empleos en escandón ii sección, dif

AI Native Data Engineer

Recruiting Operations Specialist (Contractor)

Sr. Manager SRE (Individual Contributor)

Technical Services Engineer

Infrastructure Engineer Sr.

Senior Data Analyst

Full Stack Developer/AI Engineer

Principal Agentic Data Systems Engineer

Data Scientist/Engineer - Early Career

Software Development Senior Analyst

Hyper-V / SCVMM Migration Specialist

Senior Engineer, DevOps Engineering

Solution Architect

Lead Software Engineer AI (Staff Engineer)

QA Test Manager

Analytics Associate Director, GOC

Lead Full Stack Web Developer and Shopify Expert

PPCO Supervisor

Azure Engineer III

Finance Sr Analyst

Quiero recibir la alerta de empleo más reciente para expert data engineer en escandón ii sección, dif

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More About PALO IT

Our clients include some of the world’s most successful companies. We collaborate with leading enterprises, next-generation businesses and frontier partners, shaping what comes next, helping them scale AI and solve complex business and technology challenges.

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expert data engineer empleos en escandón ii sección, dif

Quiero recibir la alerta de empleo más reciente para expert data engineer en escandón ii sección, dif

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Your Role

More About PALO IT Our clients include some of the world’s most successful companies. We collaborate with leading enterprises, next-generation businesses and frontier partners, shaping what comes next, helping them scale AI and solve complex business and technology challenges.

More About PALO IT

Our clients include some of the world’s most successful companies. We collaborate with leading enterprises, next-generation businesses and frontier partners, shaping what comes next, helping them scale AI and solve complex business and technology challenges.