20 publicaciones de empleo destacadas de full stack python en ciudad de méxico, dif (¡Están contratando!)

Data Engineer
Bayer —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Inglés
- Experiencia en bases de datos
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
Sr Integration Developer - Bilingual
Concentrix —Ciudad de México, CDMX
- Tiempo completo
- Bilingüe
- Azure
- Administración de personal
SR SOFTWARE ENGINEER ( SLALOM-STRYKER )
Inetum Mexico —Ciudad de México, CDMX
- $65,000 a $73,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- SQL
- JavaScript
- Python
Postulación rápida
C# / .NET Developer Support Engineer (Software Engineer Focus - VR / Full Stack) «Advisor-Senior» CDMX
Information Technologies Consultant Home S.A. de C.V. —Ciudad de México, CDMX
- Experiencia en bases de datos
- SQL
- Python
Senior Software Engineer - AI I
Thomson Reuters —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Senior Data Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Salesforce
- Experiencia en bases de datos
Senior AI Data Engineer
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- CAD
- SQL
- Presencial
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Machine Learning Platform Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos
Senior Data Engineer
Peek —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- Experiencia en bases de datos
- SQL
Software Engineer, CI and Release Advance Technologies
Google —Ciudad de México, CDMX
- Doctorado
- Informática
- Inglés
Lead Agentic Data Systems Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
- SQL
- Python
Mobile Software Engineer, Multiplatform, Early Careers
Google —Ciudad de México, CDMX
- Inglés
- Java
- C++
Tech Lead Full Stack Laravel
Selection Book —Ciudad de México, CDMX
- Español
- Azure
- DevOps
Senior Software Engineer - Android
PayJoy —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Licenciatura
- Mejora continua
- Seguro dental
- Seguro de la vista
Lead DWH/BI Consultant
SimCorp A/S —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Oracle
- Inglés
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Senior Software Engineer (Fullstack) - Mexico City
Snappr —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Informática
- DevOps
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
SRE Lead Design & Support Engineer
PepsiCo —Miguel Hidalgo, CDMX
- Azure
- Informática
- Java
Software Engineer, Compilers, Runtimes and Toolchains, Early Career
Google —Ciudad de México, CDMX
- Inglés
- C++
- Licenciatura
Senior Security Infrastructure Engineer
Sezzle —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- DevOps
- Linux

Quiero recibir la alerta de empleo más reciente para full stack python en ciudad de méxico, dif

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Data Engineer

Bayer -
Ciudad de México, CDMX

Postúlate ahora

Información del empleo

Tiempo completo

Cualificaciones

Power BI
Azure
Spark
Cifrado
AWS Certification
NoSQL
Inglés
Tableau
Experiencia en bases de datos
S3
Apache
Python
Gestión de identidades y accesos

Descripción completa del empleo

Data Engineer

TASKS AND RESPONSIBILITIES

Build and optimize ETL/ELT pipelines using AWS Glue, Spark, Athena, Lake Formation, S3, Step Functions, Lambda.
Contributes to design and implementation of AWS Data Lake, including orchestration and security guardrails.
Collaborate with DevSecOps engineers on infrastructure automation and CI/CD pipelines using tools such as GitHub Actions and Terraform.
Automate deployment and management of data infrastructure and workflows to ensure reliability and scalability.
Define and enforce data standards, including metadata, lineage and governance.
Ensure platform scalability, performance and cost efficiency (e.g., partitioning, caching strategies).
Coordinate integration needs, including feature engineering and data validation.
Participate in validation and documentation efforts aligned with GxP.
Engage with stakeholders to align technical design with business needs.
Manage and reduce technical debt in data pipelines and infrastructure.
Collaborate with teams that are based across different locations and time zones.
Deliver and operate solutions for sites across the Globe.

WHO YOU ARE

4+ years of experience in data engineering on AWS.
Strong knowledge of AWS data stack: Glue, Athena, Lake Formation, S3, Step Functions, Lambda.
Proficient in Python for scripting, automation and data manipulation tasks.
Experience with PySpark for building scalable, distributed ETL/ELT pipelines using Apache Spark (especially within AWS Glue).
Experience in structuring and modelling data in both relational and non-relational forms.
Ability to elaborate and propose relational/non-relational approach.
Knowledge of databases, including query optimization, relational and non-relational schema design.
Expertise in data storage technologies, including files, relational databases, NoSQL, and various data types (structured, unstructured, metrics, logs).
Awareness of DevSecOps practices, including automation of CI/CD pipelines (GitHub Actions or similar), infrastructure as code (Terraform), IAM roles, encryption, Static Application Security Testing (SAST), Software Composition Analysis (SCA) tools, auditability.
Advanced English level (written and spoken).
Relevant certifications (e.g., GCP Certified, AWS Certified, Azure Certified) is preferred.
Hands-on experience configuring and developing dashboards in tools such as Power BI, Grafana or Tableau.
Strong analytical and communication skills.
Ability to work collaboratively in a team environment.
Experience in regulated environments (GxP, pharma, financial or healthcare).
Experience with AI/ML data pipelines, embedding management or feature stores.
High level of accuracy and attention to detail.

At Bayer we believe in diversity, equity and inclusion. We aim to create an environment in which everybody can feel authentic, respected and equally valued. Every day we strive to reflect our values through our unique capabilities, self-experiences, and aspirations. We intentionally seek diversity, to enable our people to bring their fullest potential out and encourage others to likewise do so. Our company wins when we leverage our capabilities to lead the cultural transformation in our business, positively impacting society.

Candidates who meet the requirements based on the job profile will be considered for employment regardless of physical disability, race, color, religion, sex, age, sexual orientation, gender identity and will not be at a disadvantage if unemployed.

Application Period:

06/08/2026 - 06/15/2026

Reference Code:

867669

Division:

Enabling Functions

Location:

Mexico : Ciudad de México : Ciudad de México

Functional Area:

Information Technology

Work Time:

Full Time

Employment Type:

Regular

Contact Us

Address

Ciudad de México, México

Postúlate ahora

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