20 publicaciones de empleo destacadas de cloud data engineer en loreto cdmx (¡Están contratando!)

ETL Software Engineer | Data
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- SQL
8d
Data Engineer - CORO Products
Bain & Co. —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Inglés
- SQL
Postulación rápida
7d
Data Engineer
albo —Ciudad de México, CDMX
- Tiempo completo
- Experiencia en bases de datos
- SQL
- Experiencia en operaciones bancarias
Postulación rápida
Senior Data Engineer (Scala / Spark / AWS)
Globant —Ciudad de México, CDMX
- Java
- Experiencia en bases de datos
- SQL
Dev Ops Engineer
Overhaul Group Inc —Tlalnepantla, Méx.
- Azure
- DevOps
- Licenciatura
Postulación rápida
Data Engineer | CDMX | Híbrido
Orion Innovation —Ciudad de México, CDMX
- DevOps
- Ingeniería
- SQL
Postulación rápida
6d
Senior Full Stack Cloud Engineer
Ford de México —Naucalpan, Méx.
- Tiempo completo
- Informática
- Inglés
- Java
20h
Senior Full Stack Cloud Engineer
Ford Motor Company —Naucalpan, Méx.
- Informática
- Inglés
- Java
16h
Staff Data Engineer
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Azure
- Informática
- DevOps
Postulación rápida
2d
Senior Data Engineer
NielsenIQ —Ciudad de México, CDMX
- $65,400 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Informática
- DevOps
Postulación rápida
Mid Data Engineer
Klar Technologies SA de CV SFP —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Inglés
- Experiencia en bases de datos
- Python
Postulación rápida
Ingeniero de Datos Google Cloud (GCP
Capital Empresarial Horizonte —Benito Juárez, CDMX
- $60,000 a $90,000 por mes
- Tiempo completo
- Inglés
- Java
- SQL
Postulación rápida
IT Engineer (Network)
Nubank —Ciudad de México, CDMX
- Tiempo completo
- Python
- Seguro dental
- Seguro de la vista
Postulación rápida
17h
DevOps Engineer - Systematic Commodities Hedge Fund
Moreton Capital Partners —Ciudad de México, CDMX
- $45,000 a $55,000 por año
- Tiempo completo
- DevOps
- Experiencia en bases de datos
- Licenciatura
Postulación rápida
11d
Cloud Data Analytics Engineer
Dotmatics —Ciudad de México, CDMX
- Microsoft Powerpoint
- Microsoft Excel
- Administración de personal
Senior Engineer, Software Engineering
Bain & Co. —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Experiencia en bases de datos
- Licenciatura
Postulación rápida
2d
Data Engineer - AWS - CI/CD - Remoto - 2863
Xideral —Ciudad de México, CDMX
- Home Office (Desde casa)
- Inglés
Postulación rápida
6d
Disaster Recovery Coordinator/Engineer
PepsiCo —Miguel Hidalgo, CDMX
- Azure
- Oracle
- SQL
Software Cloud Engineer | Python
Honeywell —Azcapotzalco, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Inglés
Junior IT Infrastructure & AI Engineer
Hewlett Packard Enterprise —Ciudad de México, CDMX
- Tiempo completo
- Análisis de datos
- Inglés
- Java
14h

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ETL Software Engineer | Data

Salesforce -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo
Hace 8 días

Cualificaciones

Administración de personal
Ingeniería de software
Salesforce
NumPy
Tableau
SQL
Pandas
Python

Descripción completa del empleo

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

ETL Software Engineer | Data
Mexico City | Hybrid

About the role

We're looking for an ETL Engineer to build and maintain data integration pipelines that keep our analytics and reporting systems accurate and reliable. You'll work closely with data analysts, platform teams, and business stakeholders to develop ETL mappings, troubleshoot pipeline issues, and support the systems that move data between Salesforce, Snowflake, and other enterprise sources. You will also utilize your technical knowledge to build integrations using Informatica and Mulesolft products.

Responsibilities

Tools & Technologies: Informatica/IICS, MuleSoft, Snowflake, Airflow, Python (Pandas, NumPy, PySpark), Salesforce Data Cloud, Tableau, GitHub

Design, build, and maintain ETL mappings and workflows using Informatica/IICS to move and transform data across source and target systems
Develop and support Python-based ETL scripts (Pandas, NumPy, PySpark) for custom data transformation and automation needs
Monitor and troubleshoot scheduled data pipeline jobs (e.g., Airflow DAGs), diagnosing failures and coordinating fixes with platform/infrastructure teams
Manage and validate API user connections and credentials across environments (DEV, QA, STG, PRD) for integrated systems
Create and maintain Snowflake database objects, roles, and access requests (RBAC) needed to support pipeline read/write operations
Perform data quality checks — validating, tagging, and reconciling records (e.g., flagging "VALID"/"INVALID" status) across source systems
PRD promotion, coordinating approvals with release/support teams
Partner with business and analytics stakeholders to resolve data mapping discrepancies and ensure clean handoffs
Maintain clear documentation of ETL jobs, connections, and operational runbooks for team knowledge continuity
Respond to and resolve production support tickets related to ETL job failures, connection issues, or data discrepancies

Required Qualifications

3–5 years of experience in ETL development or data engineering
Hands-on experience with an ETL/integration tool (MuleSoft, Informatica/IICS strongly preferred)
Working knowledge of SQL and a scripting language such as Python for data transformation
Experience with cloud data warehouses such as Snowflake
Familiarity with workflow orchestration tools (e.g., Airflow) for monitoring scheduled jobs
Understanding of environment promotion practices (DEV/QA/STG/PRD) and basic version control (GitHub)
Strong troubleshooting skills and comfort working directly with cross-functional platform/support teams
Clear written communication for documenting issues, requesting approvals, and coordinating across teams
Experience deploying changes via CI/CD deployment pipelines

Preferred Qualifications

Salesforce ecosystem:

Experience supporting Salesforce-adjacent data environments
MuleSoft integration experience preferred
Salesforce Data Cloud experience preferred

Analytics:

Tableau development and visualization experience desired

Process:

Exposure to change management processes (e.g., formal change request/approval workflows)
Experience with data validation/reconciliation across multiple source systems

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

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cloud data engineer empleos en loreto cdmx

ETL Software Engineer | Data

Data Engineer - CORO Products

Data Engineer

Senior Data Engineer (Scala / Spark / AWS)

Dev Ops Engineer

Data Engineer | CDMX | Híbrido

Senior Full Stack Cloud Engineer

Senior Full Stack Cloud Engineer

Staff Data Engineer

Senior Data Engineer

Mid Data Engineer

Ingeniero de Datos Google Cloud (GCP

IT Engineer (Network)

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Cloud Data Analytics Engineer

Senior Engineer, Software Engineering

Data Engineer - AWS - CI/CD - Remoto - 2863

Disaster Recovery Coordinator/Engineer

Software Cloud Engineer | Python

Junior IT Infrastructure & AI Engineer

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