Senior Data Engineer — Scalable Data Pipelines

120 SFDC Mexico S. de R.L. de C.V.; Ciudad de México; Presencial; MXN 700.000 - 1.100.000; Jornada completa

Descripción de la vacante

Salesforce is seeking a Data Engineer for the Mexico City DET Team to design, build, and optimize scalable data pipelines powering analytics. You will work across dbt, Snowflake, Informatica, and Airflow to ensure high-quality data for decision-making.

This role suits engineers who enjoy problem-solving, collaboration, and continuous learning in a fast-paced environment. Ideal candidates bring 5–7 years of data engineering experience, strong SQL and Python, and a solid foundation in data

Formación

• 5–7 years of hands-on data engineering or data platform development experience.
• Strong SQL and Python or similar scripting language.
• Hands-on with dbt and Snowflake for data warehousing.
• Experience with Informatica and Apache Airflow for data integration/orchestration.
• Knowledge of data modeling (dimensional, star/snowflake).
• Familiarity with CI/CD, Git, and modern DevOps practices.
• Understanding of data quality frameworks and monitoring.
• Strong problem-solving, attention to detail, and cross-functional collaboration.

Responsabilidades

• Design, build, and optimize scalable data pipelines and models.
• Develop data models to support analytics and ML use cases.
• Integrate data from multiple systems to create unified datasets.
• Ensure data accuracy, completeness, and quality through validation and monitoring.
• Collaborate with data analysts, product managers, and business teams.

Conocimientos

SQL

Python

Data modeling

CI/CD

Git

Data quality

Problem solving

Communication

Team collaboration

Herramientas

dbt

Snowflake

Informatica

Apache Airflow

Descripción del empleo

Salesforce is seeking a Data Engineer for the Mexico City DET Team to design, build, and optimize scalable data pipelines powering analytics. You will work across dbt, Snowflake, Informatica, and Airflow to ensure high-quality data for decision-making.

This role suits engineers who enjoy problem-solving, collaboration, and continuous learning in a fast-paced environment. Ideal candidates bring 5–7 years of data engineering experience, strong SQL and Python, and a solid foundation in data