20 publicaciones de empleo destacadas de data scientist en vitalia méx. (¡Están contratando!)

AI Native Data Engineer
PALO IT —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Postulación rápida
9d
AMS Functional Consultant – SAP MM / SAP FI / SAP SD
Kyndryl —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Informática
- Inglés
Solution Manager
Imubit —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- Licenciatura
- Mejora continua
Senior Software Engineer, Big Data
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Disponible para viajar
- Desarrollo de software
Chargeback Operations Analyst
Sezzle —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- Licenciatura
- Habilidades de comunicación
14h
Clinical Scientist in CNS - LATAM
IQVIA —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- Maestría
Java & API Application Support Engineer – AMS
Kyndryl —Ciudad de México, CDMX
- Tiempo completo
- Oracle
- Informática
- Microsoft Office
Business Intelligence Senior Analyst
Zendesk —Ciudad de México, CDMX
- Tiempo completo
- Análisis de datos
- SQL
- Licenciatura
Machine Learning Engineer - Fraud
PayJoy —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Inglés
- Experiencia en bases de datos
- Seguro dental
- Seguro de la vista
Startups Performance Lead, Google Cloud
Google —Ciudad de México, CDMX
- $152,000 a $221,000 por año
- Administración de personal
- Experiencia en ventas
- Análisis de datos
5d
User Experience Designer II
Honeywell —Azcapotzalco, CDMX
- Tiempo completo
- Licenciatura
- Sin título de educación superior
Customer Service Specialist
10x Genomics —Ciudad de México, CDMX
- $213,400 a $288,800 por año
- Oracle
- Administración de personal
- Experiencia en ventas
Postulación rápida
12d
ML Ops Engineer S.Sr
Ucloud —Ciudad de México, CDMX
- Python
Postulación rápida
Software Development Engineer, PPO (Prelaunch Portfolio Orchestration)
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Java
- Licenciatura
Senior Analyst, Forecasting
DoorDash Mexico —Ciudad de México, CDMX
- Microsoft Excel
- Inglés
- SQL
Postulación rápida
2d
Lead, AI Security Operations Engineer
Mastercard —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Maestría
- Licenciatura
Principal AI Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos
Job announcement for Roster - Breeder positions
CIMMYT —Texcoco, Méx.
- Tiempo completo
- Doctorado
- Inglés
- Maestría
Postulación rápida
Sr Data Engineer - Music DISCO, Music DISCO
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Java
- SQL
- JavaScript
Senior Software Engineer, Windows/Desktop Applications - Mexico City, Mexico
Speechify —Ciudad de México, CDMX
- Home Office (Desde casa)
- Doctorado
- C++
- Capacitación

Quiero recibir la alerta de empleo más reciente para data scientist en vitalia méx.

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AI Native Data Engineer

PALO IT -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo
Hace 9 días

Cualificaciones

Azure
Cassandra
Bases de datos relacionales
Big data
DevOps
Spark
Microsoft SQL Server
NoSQL
Git
Inglés
Google Cloud Platform
MongoDB
Experiencia en bases de datos
SQL
PostgreSQL
Scala
Seguridad
S3
Apache
Redshift
Habilidades de comunicación
Python
Hadoop

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, you will be responsible for designing, building, and maintaining scalable data pipelines and architectures that ensure the accessibility, reliability, and quality of data across the organization. You will collaborate closely with data scientists, analysts, and cross-functional teams to transform raw data into actionable insights that drive strategic decisions.

Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
Build and optimize data lakes and data warehouse solutions in cloud environments.
Develop robust data ingestion and transformation processes using Python, SQL, and Scala.
Work with distributed data processing frameworks such as Apache Spark and Hadoop.
Orchestrate and monitor workflows using Apache Airflow.
Ensure data quality, governance, security, and availability across multiple systems.
Collaborate with Data Scientists, Analysts, and Business teams to understand data requirements and deliver high-quality datasets.
Optimize database performance and manage large-scale datasets across SQL and NoSQL technologies.
Implement best practices for version control, CI/CD, testing, and code quality using Git.
Participate in architecture discussions and contribute to technical decision-making.
Support cloud-based data solutions leveraging AWS, GCP, or Azure ecosystems.
Continuously improve platform scalability, performance, and operational excellence through automation and AI-assisted engineering practices.

Who You Are

Must Have

3+ years of experience as a Data Engineer or in similar data-focused roles.
Strong programming skills in Python and SQL.
Experience with big data technologies such as Apache Spark and Hadoop.
Hands-on experience building ETL/ELT pipelines and data integration workflows.
Experience working with relational databases such as SQL Server and PostgreSQL.
Knowledge of NoSQL databases such as MongoDB or Cassandra.
Experience with cloud platforms such as AWS, GCP, or Azure.
Familiarity with Data Warehousing and Data Lake architectures.
Experience with workflow orchestration tools such as Apache Airflow.
Strong understanding of version control and collaborative development using Git.
Strong analytical thinking and problem-solving skills.
Ability to work in agile and collaborative environments.
Advanced English communication skills.

Nice to Have

Experience with Redshift, S3, BigQuery, or Azure Data Factory.
Knowledge of Infrastructure as Code and DevOps practices.
Experience working in AI-first or data-driven product environments.
Exposure to CI/CD pipelines and containerized environments.
Knowledge of data governance and security best practices.

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

data scientist empleos en vitalia méx.

AI Native Data Engineer

AMS Functional Consultant – SAP MM / SAP FI / SAP SD

Solution Manager

Senior Software Engineer, Big Data

Chargeback Operations Analyst

Clinical Scientist in CNS - LATAM

Java & API Application Support Engineer – AMS

Business Intelligence Senior Analyst

Machine Learning Engineer - Fraud

Startups Performance Lead, Google Cloud

User Experience Designer II

Customer Service Specialist

ML Ops Engineer S.Sr

Software Development Engineer, PPO (Prelaunch Portfolio Orchestration)

Senior Analyst, Forecasting

Lead, AI Security Operations Engineer

Principal AI Engineer

Job announcement for Roster - Breeder positions

Sr Data Engineer - Music DISCO, Music DISCO

Senior Software Engineer, Windows/Desktop Applications - Mexico City, Mexico

Quiero recibir la alerta de empleo más reciente para data scientist en vitalia méx.

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Your Role

Responsibilities

Who You Are

Must Have

Nice to Have

AI-Native Engineering (Core Expectation)

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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data scientist empleos en vitalia méx.

Quiero recibir la alerta de empleo más reciente para data scientist en vitalia méx.

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Explorar empleos en más ubicaciones

Your Role

Responsibilities

Who You Are

Must Have

Nice to Have

AI-Native Engineering (Core Expectation)

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.