Senior Data Engineer: Cloud Analytics dbt/Snowflake & Airflow

D8 LooP; Ciudad de México; Hybrid; MXN 600,000 - 900,000; Full time

Job summary

Salesforce is seeking an experienced Data Engineer to design, build, and optimize scalable data pipelines and models powering analytics and business insights. You will work with Airflow, Informatica, dbt and Snowflake to transform data and support governance and security standards.

The role focuses on data quality, modeling, and optimization to enable reliable reporting and AI-driven insights in a fast-paced environment.

Qualifications

• Experience designing scalable data pipelines and data models.
• Proficiency in Airflow, Informatica, dbt and Snowflake for data transformation and warehousing.
• Strong SQL and Python scripting abilities.
• Knowledge of data quality frameworks and monitoring tools.
• Experience with data governance and security initiatives is a plus.

Responsibilities

• Design, build, and optimize scalable data pipelines and models powering analytics and insights.
• Power analytics and business insights through robust data engineering.
• Ensure data accuracy, completeness, and consistency via validation and monitoring.
• Leverage Snowflake for warehousing and dbt for transformations.

Skills

Airflow orchestration

Data modeling

Data quality frameworks

Python

SQL

dbt

Snowflake

Cost & performance

Machine learning

Tools

Informatica

Apache Airflow

Job description

Salesforce is seeking an experienced Data Engineer to design, build, and optimize scalable data pipelines and models powering analytics and business insights. You will work with Airflow, Informatica, dbt and Snowflake to transform data and support governance and security standards.

The role focuses on data quality, modeling, and optimization to enable reliable reporting and AI-driven insights in a fast-paced environment.