19 publicaciones de empleo destacadas de data engineer en ecatepec, méx. (¡Están contratando!)

Vehicle Propulsion Systems Engineering
Ford de México —Naucalpan, Méx.
- Tiempo completo
- Administración de personal
- Informática
- DevOps
11d
SAP Analytics Engineer (Datasphere)
Capgemini —Ciudad de México, CDMX
- $1 por año
- Tiempo completo
- Trabajo híbrido
- Azure
- SQL
- Licenciatura
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Ingeniero de Datos Senior (Pipelines y Transformaciones)
Sngular —Venustiano Carranza, CDMX
- Hasta $55,000 por mes
- Tiempo completo
- Inglés
- SQL
- Python
- Seguro de gastos médicos
- Seguro de vida
Postulación rápida
7d
la26.042 - Data Engineering Lead
Tiger Analytics Inc. —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
Postulación rápida
Ab Initio Developer
Kyndryl —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- Experiencia en bases de datos
- SQL
Ingeniero de Datos Senior (Pipelines y Transformaciones).
IQNITIA —Moctezuma 2a Sección, CDMX
- $60,000 a $65,000 por mes
- Tiempo completo
- Trabajo híbrido
- SQL
- Python
Postulación rápida
13d
Data Pipeline & Platform Engineer, Observability & Security
Qualcomm —Ciudad de México, CDMX
- Azure
- Administración de personal
- Informática
7d
AWS Data Architect
Bluetab, an IBM Company —Ciudad de México, CDMX
- Trabajo híbrido
- Oracle
- DevOps
- SQL
13d
Especialista Senior KingswaySoft / ETL Integration Engineer
Bluetab, an IBM Company —Ciudad de México, CDMX
- Trabajo híbrido
- Azure
- Oracle
- DevOps
SUB-GERENTE DE SOPORTE
Grupo Financiero Banorte —Ciudad de México, CDMX
- Ingeniería
- Inglés
- Experiencia en bases de datos
7d
Consultor/a de datos en Azure
SDG Group —Ciudad de México, CDMX
- Azure
- Inglés
- SQL
Postulación rápida
Senior Data Software Engineer (Python + SQL + Azure)
Publicis Groupe Holdings B.V —Cuauhtémoc, CDMX
- Azure
- SQL
- Python
Postulación rápida
1d
Product Technical Lead, Data (O+O Commerce)
l'Oréal —Ciudad de México, CDMX
- Tiempo completo
- DevOps
- Java
- SQL
Postulación rápida
Academia Data Engineering Semi Sr. Snowflake - Databricks | Remote 2748
Xideral —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- SQL
- Licenciatura
Postulación rápida
Forward Deployed Engineer
Arkham Technologies —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- SQL
- Python
Postulación rápida
Consultor Databricks Senior
NetPartners International —Ciudad de México, CDMX
- Español
- Azure
- DevOps
Postulación rápida
Consultor Snow Flake Senior
NetPartners International —Ciudad de México, CDMX
- Español
- Azure
- DevOps
Postulación rápida
Data Engineer
Stefanini Latam —Ciudad de México, CDMX
- Oracle
- Linux
- Python
17h
Analytics Engineer - Credit
Klar Technologies SA de CV SFP —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- Informática
- Inglés
Postulación rápida
8h

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SAP Analytics Engineer (Datasphere)
Capgemini —Ciudad de México, CDMX
Capgemini is responsible for managing local payroll and benefits. Leaders with deep market knowledge and strategic vision.
$1 por año
Postulación rápida

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Vehicle Propulsion Systems Engineering

Ford de México -
Naucalpan, Méx.

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Información del empleo

Tiempo completo
Hace 11 días

Cualificaciones

Power BI
Modelado de datos
Administración de personal
Informática
DevOps
Git
Google Cloud Platform
Tableau
SQL
Respuesta a incidentes
Licenciatura
Seguridad
Python
Ciencia de los datos
Gestión de identidades y accesos

Descripción completa del empleo

This position places strong emphasis on Google Cloud Platform (GCP), especially Tekton pipelines, Cloud Storage buckets, and Cloud Functions. The engineer will help design event-driven data workflows, automate deployment and testing, and implement cloud security controls as part of daily delivery. The role bridges data engineering and analytics, transforming and operationalizing data so teams can consume trusted insights faster.

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow’s transportation.

Ford Product Development is utilizing Design Thinking & User Experience methods to deliver breakthrough products and services that will delight our customers. Our employees are laser-focused on bringing innovative, exciting, and sustainable ideas to life. From autonomy and electrification, to smart mobility technologies, our Product Development teams around the world are working together with excitement to make smart vehicles for a smart world.

Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related field.

Experience

1-5+ years of relevant experience in data engineering, analytics engineering, data analysis, or data science.

Hands-on delivery experience with data processing, analysis, and visualization.

Experience with cloud-based analytics or data platforms; GCP experience strongly preferred.

Automotive and powertrain data experience is a strong advantage.

Core Data and Analytics

Python proficiency for data transformation, automation, and analytics workflows.

Strong SQL skills for extraction, transformation, and analytical querying.

Solid understanding of ETL/ELT, data modeling, and data warehousing concepts.

Experience with BI tools such as Tableau, Power BI, or Qlik.

Ability to analyze large and complex datasets and produce actionable engineering insights.

Version control proficiency with Git and collaborative branching/review workflows.

GCP Technologies (High Emphasis)

Cloud Storage: bucket architecture, IAM controls, lifecycle rules, retention policies, event notifications, and storage classes.

Cloud Functions: event-driven development, deployment, observability, retry handling, and idempotent processing.

Tekton: pipeline authoring, reusable tasks, triggers, artifact traceability, automated tests, approvals, and promotion gates.

BigQuery and Pub/Sub: ingestion, transformation, and event-stream integration in analytics workflows.

Identity and Access Management (IAM): least-privilege role design, service account scoping, and access governance.

Security controls: Secret Manager, Cloud KMS, audit logging, and secure configuration baselines.

Monitoring and reliability: Cloud Logging, Cloud Monitoring, Error Reporting, and alert-driven operations.

Infrastructure as Code: Terraform or equivalent for repeatable GCP provisioning.

DevOps and Cybersecurity

CI/CD implementation for analytics and data products across dev, test, and prod environments.

DevSecOps integration including dependency scanning, secret scanning, and policy checks in pipelines.

Release management with rollback strategy, quality gates, and deployment governance.

Working knowledge of cloud threat detection and security posture management principles.

Collaboration Skills (Soft Skills)

Strong written and verbal communication; clear technical documentation and stakeholder reporting.

Structured problem solving with accountability and attention to root-cause analysis.

High learning agility and adaptability in fast-evolving cloud and analytics environments.

Effective cross-functional collaboration in global teams.

Detail orientation and ownership mindset for data quality, reliability, and security.

Build and maintain analytics data pipelines and transformation workflows for powertrain datasets.

Design and operate GCP-native solutions using Cloud Storage, Cloud Functions, Pub/Sub, and BigQuery.

Develop and maintain Tekton CI/CD pipelines for analytics code, data pipelines, and infrastructure changes.

Implement event-driven processing patterns using Cloud Functions triggered by bucket events, Pub/Sub, or HTTP.

Engineer Cloud Storage bucket strategies, including naming, IAM, lifecycle policies, retention, and cost-aware tiering.

Apply strong data governance practices: data quality checks, metadata standards, lineage, and documentation.

Support model and pipeline validation for data integrity, reliability, and production readiness.

Build dashboards and reports that highlight trends, anomalies, and operational insights for engineering teams.

Collaborate with calibration, controls, test, IT, and cybersecurity stakeholders to define and deliver requirements.

Contribute to DevSecOps practices by integrating security scanning, secret management, and release controls into CI/CD.

Monitor production services and pipelines using Cloud Logging, Monitoring, and alerting, and support incident response.

Ensure compliance with enterprise data security, cybersecurity, and operational standards.

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data engineer empleos en ecatepec, méx.

Vehicle Propulsion Systems Engineering

SAP Analytics Engineer (Datasphere)

Ingeniero de Datos Senior (Pipelines y Transformaciones)

la26.042 - Data Engineering Lead

Ab Initio Developer

Ingeniero de Datos Senior (Pipelines y Transformaciones).

Data Pipeline & Platform Engineer, Observability & Security

AWS Data Architect

Especialista Senior KingswaySoft / ETL Integration Engineer

SUB-GERENTE DE SOPORTE

Consultor/a de datos en Azure

Senior Data Software Engineer (Python + SQL + Azure)

Product Technical Lead, Data (O+O Commerce)

Academia Data Engineering Semi Sr. Snowflake - Databricks | Remote 2748

Forward Deployed Engineer

Consultor Databricks Senior

Consultor Snow Flake Senior

Data Engineer

Analytics Engineer - Credit

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Quiero recibir la alerta de empleo más reciente para data engineer en ecatepec, méx.

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