20 publicaciones de empleo destacadas de analyst data science en cuauhtémoc cdmx (¡Están contratando!)

Staff Data Engineer
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Azure
- Informática
- DevOps
Postulación rápida
2h
Energy Market Analyst
Energy Exemplar —Ciudad de México, CDMX
- Home Office (Desde casa)
- Informática
- Experiencia en ventas
- Licenciatura
Postulación rápida
5d
User Loyalty Sr. Analyst
DiDi Global —Cuauhtémoc, CDMX
- Microsoft Excel
- Administración de personal
- SQL
Senior Analyst, Demand Planning & Analytics
DoorDash Mexico —Ciudad de México, CDMX
- Microsoft Excel
- Inglés
- SQL
Postulación rápida
Software Engineer II with Accounting Experience (Mexico)
Sezzle —Ciudad de México, CDMX
- $2,800 a $6,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- Informática
- DevOps
- Java
Senior Analyst, Forecasting
DoorDash Mexico —Ciudad de México, CDMX
- Microsoft Excel
- Inglés
- SQL
Postulación rápida
Principal Business Analyst
Takeda Pharmaceutical —Cuajimalpa, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Inglés
- Seguro dental
- Seguro de la vista
Global Network - Supply Chain and Engineering - Digital Manufacturing P&O (SAP Analyst/Consultant/Manager)
Accenture —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- ERP systems
- Inglés
Senior Business Information Analyst
PRGX Global, Inc —Colonia Lomas de Chapultepec, CDMX
- Tiempo completo
- Administración de personal
- Informática
- Inglés
Postulación rápida
Senior Business Development Analyst
Light & Wonder —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Excel
- Servicio al cliente
- Inglés
Merchant Care Analyst
Checkout.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Servicio al cliente
- Salesforce
Postulación rápida
11d
Supply Chain Network Design Sr. Analyst
PepsiCo —Miguel Hidalgo, CDMX
- Microsoft Office
- SQL
- Licenciatura
Senior Product Designer (UX)
Dotmatics —Ciudad de México, CDMX
- Microsoft Excel
- Inglés
- Sin título de educación superior
Credit Line Growth Analyst
PayJoy —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Excel
- Ingeniería
- Inglés
- Seguro dental
- Seguro de la vista
Sr Business System Analyst
IQVIA —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Inglés
- SQL
Senior Business Operations Analyst
Diebold Nixdorf —Atizapán de Zaragoza, Méx.
- Tiempo completo
- Oracle
- Administración de personal
- Informática
SAP EDI Operations Analyst
Kids II Inc —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Word
- Microsoft Excel
- Microsoft Outlook
Senior IT Analyst – Digital Workplace & AI Enablement
DiDi Global —Cuauhtémoc, CDMX
- Informática
- Inglés
- Licenciatura
Managed Services Analyst
IQVIA —Ciudad de México, CDMX
- Tiempo completo
- Licenciatura
- Sin título de educación superior
Hybrid Cloud Executive Analytics & BI Architect
Hewlett Packard Enterprise —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Maestría
- SQL

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Staff Data Engineer

Levi Strauss & Co. -
Centro (Área 1), CDMX

Postulación rápida

Información del empleo

Tiempo completo
Hace 2 horas

Cualificaciones

Looker
Modelado de datos
Azure
Informática
Ingeniería de software
Big data
DevOps
Spark
Cifrado
Google Cloud Platform
Apache Hive
Java
Maestría
SQL
Apache Flink
Licenciatura
JavaScript
Usabilidad
Capacitación
Apache
Kafka
Redshift
Python

Descripción completa del empleo

Job Location: Mexico City, Mexico

Calling all originals: At Levi Strauss & Co., you can be yourself — and be part of something bigger. We’re a company of people who like to forge our own path and leave the world better than we found it. Who believe that what makes us different makes us stronger. So add your voice. Make an impact. Find your fit — and your future.

The Staff Data Engineer is the technical leader for complex data engineering initiatives, responsible for designing and delivering scalable, secure, and high-performing data platforms, pipelines, and data products that enable enterprise analytics, AI, and business decision-making.

This role solves complex data challenges at scale, establishes engineering standards, influences data architecture and platform strategy, and translates business priorities into resilient technical solutions. It supports modern cloud-native data ecosystems for analytical, operational, and AI workloads while ensuring data quality, reliability, security, governance, and cost efficiency.

About the Job

Technical Leadership and Architecture

Architect, design, and implement enterprise-scale data platforms, data pipelines, semantic layers, and data products that support analytical, operational, and AI use cases.
Lead the design of scalable, highly available, and cost-optimized cloud-native data solutions capable of processing large volumes of structured and unstructured data.
Establish engineering standards, design patterns, and best practices for data ingestion, transformation, modeling, governance, observability, and reliability.
Drive architectural decisions and provide technical leadership for critical initiatives with long-term enterprise impact.

Data Product Development

Lead end-to-end development of data products from source system integration, ingestion, transformation, modeling, and delivery through consumption layers.
Design robust data contracts with upstream and downstream systems to improve reliability and trust in data assets.
Build and optimize high-performance batch, streaming, and near real-time data pipelines.
Develop semantic and context-aware data models that improve accessibility and usability of enterprise data.

Quality, Reliability, and Governance

Establish and implement enterprise data quality frameworks, monitoring, observability, alerting, and governance practices.
Drive implementation of security controls, privacy requirements, encryption standards, and regulatory compliance requirements.
Define and enforce data standards that improve consistency, lineage, discoverability, and trust across data products.

Strategic Collaboration and Business Partnership

Partner with Product Managers, Architects, Data Scientists, Analysts, and business stakeholders to define technical roadmaps and delivery priorities.
Translate complex business problems into scalable technical solutions that create measurable business value.
Lead cross-functional initiatives spanning multiple engineering teams, business domains, and geographic regions.

Technical Mentorship and Organizational Influence

Mentor and coach engineers through code reviews, architecture reviews, and technical guidance.
Influence engineering culture by evangelizing best practices, modern technologies, and continuous improvement initiatives.
Evaluate emerging technologies and determine their applicability to simplify architecture, improve performance, and enhance platform capabilities.
Represent the Data Engineering organization in architecture reviews and leadership discussions.

About You

Required Education

Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Systems, Mathematics, or related technical discipline.

Preferred Education

Master's degree in Computer Science, Data Engineering, Artificial Intelligence, Data Science, or a related quantitative field.

Preferred Certifications

Google Professional Data Engineer
Google Professional Cloud Architect

Additional Qualifications

Demonstrated technical leadership in enterprise-scale data engineering environments.
Proven ability to influence architecture, engineering standards, and technology strategy across multiple teams.
Strong communication skills with the ability to convey complex technical concepts to executive and non-technical audiences

Work Experience

10+ years of progressive experience in Data Engineering, Software Engineering, Data Platform Engineering, or Big Data development.
Proven experience designing, building, and operating large-scale data platforms, modern data warehouses, and cloud-native data ecosystems.
Demonstrated success leading highly complex engineering initiatives from concept through production deployment and operationalization.
Experience building and optimizing large-scale distributed processing systems supporting high-volume data ingestion, transformation, and analytics workloads.
History of delivering enterprise data products supporting analytics, machine learning, customer intelligence, and operational decision-making.
Experience influencing technical direction across multiple teams and mentoring engineers in architecture, engineering excellence, and delivery practices.
Experience working in global, matrixed organizations and collaborating with cross-functional stakeholders across business and technology functions.

Specialized Knowledge, Technical Skills, Tools, and Systems

Data Engineering & Architecture

Advanced expertise in Data Modeling, Data Architecture, Data Warehousing, ETL/ELT, and modern data platform design.
Deep understanding of distributed computing frameworks and large-scale data processing.

Programming & Development

Expert-level proficiency in SQL.
Advanced proficiency in Python and/or Java.
Strong software engineering fundamentals including design patterns, testing, code quality, and performance optimization.

Big Data Technologies

Apache Spark
Flink
Hive
Kafka / PubSub
Distributed processing and streaming architectures

Cloud Platforms

Google Cloud Platform (preferred)
AWS
Microsoft Azure

Data Platforms & Analytics Technologies

BigQuery
Databricks
Redshift
DBT
PySpark
Modern semantic layer technologies
Data observability and monitoring platforms

DevOps & Platform Engineering

GitHub Enterprise
CI/CD pipelines
Infrastructure as Code (Terraform or equivalent)
Platform automation and deployment frameworks

Governance & Security

Data Governance
Data Privacy
Data Lineage
Access Controls
Regulatory Compliance
Data Quality Frameworks
Observability and Monitoring Solutions

Visualization & Consumption

Looker
Analytics and BI consumption platforms
Semantic modeling and self-service analytics technologies

LOCATION

Mexico, D.F., Mexico

FULL TIME/PART TIME

Full time

Current LS&Co Employees, apply via your Workday account.

Postulación rápida

Refina tu búsqueda

analyst data science empleos en cuauhtémoc cdmx

Staff Data Engineer

Energy Market Analyst

User Loyalty Sr. Analyst

Senior Analyst, Demand Planning & Analytics

Software Engineer II with Accounting Experience (Mexico)

Senior Analyst, Forecasting

Principal Business Analyst

Global Network - Supply Chain and Engineering - Digital Manufacturing P&O (SAP Analyst/Consultant/Manager)

Senior Business Information Analyst

Senior Business Development Analyst

Merchant Care Analyst

Supply Chain Network Design Sr. Analyst

Senior Product Designer (UX)

Credit Line Growth Analyst

Sr Business System Analyst

Senior Business Operations Analyst

SAP EDI Operations Analyst

Senior IT Analyst – Digital Workplace & AI Enablement

Managed Services Analyst

Hybrid Cloud Executive Analytics & BI Architect

Quiero recibir la alerta de empleo más reciente para analyst data science en cuauhtémoc cdmx

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FULL TIME/PART TIME

Current LS&Co Employees, apply via your Workday account.

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