20 publicaciones de empleo destacadas de ai native data engineer en miguel hidalgo, dif (¡Están contratando!)

AI Native Data Engineer
PALO IT —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Postulación rápida
10d
Support Engineer - AI-Driven (US Timezone)
Tangible —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- Inglés
Postulación rápida
Mobile AI-Native Product Engineer
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Disponible para viajar
- Desarrollo de software
AI Native Software Engineer (Background core Python)
PALO IT —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- DevOps
- SQL
- Capacitación
Postulación rápida
10d
Forward Deployed Engineer III, Generative AI, Google Cloud (English, Spanish)
Google —Ciudad de México, CDMX
- Microsoft Excel
- Administración de personal
- Doctorado
7d
AI DevOps Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Azure
- Informática
Staff Software Engineer, Product
LawnStarter —Ciudad de México, CDMX
- Tiempo completo
- Bar
Postulación rápida
Software Development Engineer Internship, Mexico City
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Java
- SQL
AI Native Data Architect
PALO IT —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Java
Postulación rápida
10d
Data Science and Machine Learning Engineer
ETAP —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Experiencia en bases de datos
- SQL
Data Engineer - Databricks
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Informática
- DevOps
Systems Engineer - Must Reside in Mexico City
Extreme Networks —Ciudad de México, CDMX
- $35,000 a $40,000 por año
- Tiempo completo
- Trabajo híbrido
- Informática
- Experiencia en ventas
- Inglés
- Plan de adquisición de acciones empresariales
- Seguro dental
Postulación rápida
Software Engineer, AI Agent Platform
QAD, Inc. —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Experiencia en manufactura
- Liderazgo
- Python
Postulación rápida
Machine Learning Platform Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos
Application Engineer II, Mexico City (MX)
Swiss Re —Ciudad de México, CDMX
- Azure
- JavaScript
Lead Product Engineer (Python), Materia AI
Thomson Reuters —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Experiencia en bases de datos
- Licenciatura
Software Engineer, AI Agent Platform
QAD —Ciudad de México, CDMX
- Tiempo completo
- Experiencia en manufactura
- Liderazgo
- Python
Lead Agentic Data Systems Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
- SQL
- Python
Software Engineer, Python - Associate, Mexico City
BlackRock Investments —Ciudad de México, CDMX
- Azure
- Informática
- SQL
Staff Product Engineer
LawnStarter —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Bar
Postulación rápida

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AI Native Data Engineer

PALO IT -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo
Hace 10 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

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ai native data engineer empleos en miguel hidalgo, dif

AI Native Data Engineer

Support Engineer - AI-Driven (US Timezone)

Mobile AI-Native Product Engineer

AI Native Software Engineer (Background core Python)

Forward Deployed Engineer III, Generative AI, Google Cloud (English, Spanish)

AI DevOps Engineer

Staff Software Engineer, Product

Software Development Engineer Internship, Mexico City

AI Native Data Architect

Data Science and Machine Learning Engineer

Data Engineer - Databricks

Systems Engineer - Must Reside in Mexico City

Software Engineer, AI Agent Platform

Machine Learning Platform Engineer

Application Engineer II, Mexico City (MX)

Lead Product Engineer (Python), Materia AI

Software Engineer, AI Agent Platform

Lead Agentic Data Systems Engineer

Software Engineer, Python - Associate, Mexico City

Staff Product Engineer

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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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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.