20 publicaciones de empleo destacadas de r&d engineer en ecatepec méx. (¡Están contratando!)

AI Native Data Engineer
PALO IT —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Postulación rápida
11d
Pre-Sales Engineer
Aveva —Ciudad de México, CDMX
- Tiempo completo
- Experiencia en ventas
- Salesforce
- Inglés
Senior AI Engineer
The Chemours Company —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Inglés
- Microsoft Office
Lead Customer Success Engineer
Dynatrace —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
- Plan de adquisición de acciones empresariales
- Vacaciones adicionales o permisos con goce de sueldo
5d
Structural Engineer
Nextpower —Ciudad de México, CDMX
- Tiempo completo
- AutoCAD
- Microsoft Excel
- Inglés
AI Native Software Engineer (Background core Java/React)
PALO IT —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Postulación rápida
11d
Data Engineer
PALO IT —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Informática
- SQL
- Licenciatura
Postulación rápida
11d
AI Native Software Engineer (Background core Python)
PALO IT —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- DevOps
- SQL
- Capacitación
Postulación rápida
11d
Quality Analyst
Reckitt —Atizapán de Zaragoza, Méx.
- Administración de personal
- Seguro de vida
2d
Quality Control Technician
Reckitt —Atizapán de Zaragoza, Méx.
- Administración de personal
- Seguro de vida
2d
III Dev Ops
Qualifinds —Ciudad de México, CDMX
- $70,196 por mes
- Tiempo completo
- Informática
- DevOps
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
- Seguro de vida
Postulación rápida
1d
ENVIRONMENTAL ENGINEER Job
Arkema B.V. —Ciudad de México, CDMX
2d
Backend/QA
PALO IT —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- SQL
- Mejora continua
- Desarrollo de software
Postulación rápida
11d
IV DevOps
Qualifinds —Ciudad de México, CDMX
- $107,000 por mes
- Tiempo completo
- Informática
- DevOps
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
- Seguro de vida
Postulación rápida
1d
VIII Devops
Qualifinds —Ciudad de México, CDMX
- $107,000 por mes
- Tiempo completo
- Informática
- DevOps
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
- Seguro de vida
Postulación rápida
1d
VII Devops
Qualifinds —Ciudad de México, CDMX
- $107,000 por mes
- Tiempo completo
- Informática
- DevOps
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
- Seguro de vida
Postulación rápida
1d
VI DevOps
Qualifinds —Ciudad de México, CDMX
- $70,196 por mes
- Tiempo completo
- Informática
- DevOps
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
- Seguro de vida
Postulación rápida
1d
DevOps
Qualifinds —Ciudad de México, CDMX
- $107,000 por mes
- Tiempo completo
- Informática
- DevOps
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
- Seguro de vida
Postulación rápida
1d
V DevOps
Qualifinds —Ciudad de México, CDMX
- $107,000 por mes
- Tiempo completo
- Informática
- DevOps
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
- Seguro de vida
Postulación rápida
1d
Technical Support Engineer | Networking Solutions
Teltonika —Ciudad de México, CDMX
- Incluye fines de semana
- Inglés
- Linux
- Presencial
Postulación rápida

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AI Native Data Engineer

PALO IT -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo
Hace 11 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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r&d engineer empleos en ecatepec méx.

AI Native Data Engineer

Pre-Sales Engineer

Senior AI Engineer

Lead Customer Success Engineer

Structural Engineer

AI Native Software Engineer (Background core Java/React)

Data Engineer

AI Native Software Engineer (Background core Python)

Quality Analyst

Quality Control Technician

III Dev Ops

ENVIRONMENTAL ENGINEER Job

Backend/QA

IV DevOps

VIII Devops

VII Devops

VI DevOps

DevOps

V DevOps

Technical Support Engineer | Networking Solutions

Quiero recibir la alerta de empleo más reciente para r&d engineer en ecatepec méx.

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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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r&d engineer empleos en ecatepec méx.

Quiero recibir la alerta de empleo más reciente para r&d engineer en ecatepec 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.

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.