9 publicaciones de empleo destacadas de data engineer etl en sector popular cdmx (¡Están contratando!)

Sr Data Engineer
RMx DEV S de R L de C V —Polanco IV Sección, CDMX
- Tiempo completo
- Administración de personal
- ERP systems
- Java
- Seguro de vida
Postulación rápida
2h
Senior AI Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Informática
- Maestría
Software Developer, Senior
Qualcomm —Ciudad de México, CDMX
- Tiempo completo
- Informática
- DevOps
- Java
Senior Analyst, Forecasting
DoorDash Mexico —Ciudad de México, CDMX
- Microsoft Excel
- Inglés
- SQL
Postulación rápida
7d
Senior Specialist IT Solution Architect
Nestlé IT —Granada, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
7d
AI Native Data Architect
PALO IT —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Java
Postulación rápida
13d
Lead Full Stack Web Developer and Shopify Expert
Onda —Álvaro Obregón, CDMX
- $15 a $25 por hora
- Tiempo completo
- Administración de personal
- SQL
- JavaScript
Postulación rápida
Senior Clinical Data Engineer (LATAM)
Precision Medicine Group —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- Inglés
- SQL
Senior Clinical Data Engineer (LATAM)
Precision for Medicine —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- Inglés
- SQL
Postulación rápida

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Sr Data Engineer

RMx DEV S de R L de C V
Polanco IV Sección, CDMX

Postulación rápida

Información del empleo

Tiempo completo
Hace 2 horas

Beneficios

Seguro de vida

Cualificaciones

Modelado de datos
Administración de personal
XML
Xpath
ERP systems
Microsoft SQL Server
Java
Bash
SQL
JavaScript
PostgreSQL
Capacitación
Seguridad
S3
Requisitos comerciales
SaaS
Python
Shell Scripting

Descripción completa del empleo

Purpose

As a Sr. Data Engineer on this team, you will own the design and delivery of complex data pipelines, integrations, and data models that serve as the foundation of our analytics and reporting capabilities. Working closely with the Sr. Data Engineering Manager and the Enterprise Data Architect, you will translate top-down architectural decisions into production-grade implementations — and serve as a technical authority and mentor for the broader data engineering team. You bring strong judgment about when to apply analytical vs. operational data patterns, and you build to a standard rather than just to a deadline.

Key Responsibilities

Design, build, and maintain scalable batch and real-time data ingestion pipelines from complex source systems including ERP data, SaaS applications, and internal databases
Implement and maintain data solutions in Snowflake and other appropriate platforms that align to enterprise data models defined by the architecture team, supporting BI and analytics analyst consumption with a consistent, reliable single version of truth
Apply sound judgment in selecting appropriate data storage and processing patterns — OLAP vs. OLTP — based on latency, consistency, cost, and use case requirements
Ensure all data engineering solutions align to target state architecture; actively participate in architecture discussions and surface implementation considerations to the Enterprise Data Architect
Contribute to integration design and implementation using Boomi, Talend, custom-built integrations, or other appropriate tooling; help rationalize and standardize integration patterns across the team
Partner with the Enterprise Data Architect to implement and enforce data lineage, transformation transparency, and architectural standards
Drive data quality practices including pipeline monitoring, anomaly detection, and root cause resolution
Author and maintain comprehensive documentation of business rules, transformation logic, and data mappings embedded in production pipelines
Provide technical mentorship to Data Engineers; contribute to coding and documentation standards and participate in code reviews
Translate complex business requirements into detailed technical designs independently, and validate those designs against architectural principles
Identify and champion process improvements including pipeline automation, standardization, and optimization of data delivery
Collaborate with BI and analytics analysts, IT teams, and business stakeholders to ensure data is modeled, documented, and accessible for their use cases
Provide accurate effort estimates; participate in intake and work tracking to ensure delivery predictability

Key Competencies and Skills Required

Advanced proficiency in SQL across both OLAP platforms (Snowflake) and relational/OLTP databases (MSSQL, Postgres, or equivalent)
Clear understanding of OLAP vs. OLTP architectural patterns — including tradeoffs in latency, cost, consistency, and appropriate use cases — with demonstrated experience applying this judgment in production environments
Ability to write pipeline, transformation, and automation code using Java, Python, or a comparable scripting language
Demonstrated experience designing and implementing ELT/ETL pipelines using Boomi, Talend, or equivalent enterprise integration tools
Strong understanding of data integration patterns across heterogeneous source systems
Experience with data quality frameworks and the ability to apply monitoring and automation to detect and surface issues
Ability to independently translate business requirements into detailed technical designs
Strong documentation skills with the ability to produce artifacts consumable by both technical and non-technical stakeholders
Experience mentoring or technically leading junior engineers
Understanding of data governance principles, data lifecycle management, and data privacy and security constraints

Preferred Qualifications

Familiarity with XML/XPath and structured data formats including JSON for pipeline and integration development
Experience with enterprise data modeling for analytics (dimensional, Data Vault, or similar)
Working knowledge of Shell/Bash scripting for server configuration tasks such as tunnel setup and environment management
Experience with S3 or similar cloud object storage as a staging or landing layer
Exposure to data catalog or data lineage tooling (Alation, Collibra, or equivalent)
Experience with workflow orchestration tools (Airflow, dbt, or equivalent)
Experience participating in or supporting a formal data governance program
Exposure to CDC (Change Data Capture) patterns for near-real-time data integration

Our commitment to excellence in customer service is only part of our story. We are also dedicated to supporting our most valuable asset, our associates! One of the ways we do this is by offering a variety of high-quality benefits for our associates and their families.

All full-time associates receive the benefits of law and are eligible for the following benefits:

Mayor Medical Insurance for Family
Life insurance
Food Coupons
10 days of vacation
30-day year end bonus

We're an equal opportunity employer and we welcome diversity and inclusion! Reece USA is an Equal Opportunity Employer— Employer Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, and any other status protected by law.

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