Senior Data Engineer: ETL/ELT, Snowflake & dbt

Salesforce, Inc.; Ciudad de México; Hybrid; MXN 900,000 - 1,300,000; Full time

Job summary

Salesforce, Inc. in Mexico City is seeking a Data Engineer to design, build, and optimize scalable data pipelines and models powering analytics and insights. The role collaborates with data analysts and product teams in a fast-paced, data-driven environment.

The candidate will develop automated ETL/ELT processes using dbt, Snowflake, Informatica, and Airflow, ensure data quality, and support governance initiatives while staying current with new data technologies and best practices.

Qualifications

• 5–7 years of hands-on data engineering or data platform development.
• Strong proficiency in SQL and Python or another scripting language.
• Experience with dbt and Snowflake for cloud data warehousing.

Responsibilities

• Design, build, and maintain automated ETL/ELT pipelines with dbt, Snowflake, Informatica, and Airflow.
• Develop and optimize data models to support analytics and ML use cases.
• Ensure data quality and governance across multiple systems.

Skills

SQL

Python

dbt

Snowflake

Informatica

Airflow

Data modeling

CI/CD

Git

Data quality

Problem-solving

Communication

Tools

dbt

Snowflake

Informatica

Airflow

Job description

Salesforce, Inc. in Mexico City is seeking a Data Engineer to design, build, and optimize scalable data pipelines and models powering analytics and insights. The role collaborates with data analysts and product teams in a fast-paced, data-driven environment.

The candidate will develop automated ETL/ELT processes using dbt, Snowflake, Informatica, and Airflow, ensure data quality, and support governance initiatives while staying current with new data technologies and best practices.