Senior Data Engineer — Scalable ETL & Data Modeling

Salesforce, Inc.; Ciudad de México; On-site; MXN 900,000 - 1,200,000; Full time

Job summary

Salesforce in Mexico City is seeking a Data Engineer with 5-7 years of experience to design, build, and optimize scalable data pipelines and models powering analytics and business insights.

You will work across modern data platforms using dbt, Snowflake, Informatica, and Airflow to ensure reliable, high-quality data for decision-making. This role suits problem-solving engineers who thrive in a fast-paced, data-driven environment.

Qualifications

• 5-7 years of hands-on experience in data engineering or data platform development.
• Proficiency in SQL and Python or another scripting language.
• Experience with dbt for data transformation and Snowflake for cloud data warehousing.
• Practical understanding of Informatica and Apache Airflow for data integration and orchestration.
• Solid grasp of data modeling techniques (dimensional, star/snowflake schemas).
• Familiarity with CI/CD workflows, Git, and modern DevOps practices.
• Knowledge of data quality frameworks and monitoring tools.
• Strong problem-solving skills and attention to detail in ensuring data reliability.

Responsibilities

• Design, build, and maintain automated ETL/ELT pipelines using tools like dbt, Snowflake, Informatica, and Airflow.
• Develop and optimize data models to support analytics, reporting, and machine learning use cases.
• Integrate data from multiple systems to create unified, high-quality datasets.
• Ensure data accuracy, completeness, and consistency through validation and monitoring.
• Collaborate with data analysts, product managers, and business teams to translate requirements into efficient data solutions.
• Support data governance and quality initiatives, ensuring compliance with standards and best practices.
• Contribute to the continuous improvement of data engineering processes, tools, and documentation.
• Troubleshoot and resolve issues in data pipelines, optimizing for performance and scalability.

Skills

SQL proficiency

Python scripting

Data modeling

CI/CD

Cross-functional teamwork

Tools

dbt

Snowflake

Informatica

Apache Airflow

Job description

Salesforce in Mexico City is seeking a Data Engineer with 5-7 years of experience to design, build, and optimize scalable data pipelines and models powering analytics and business insights.

You will work across modern data platforms using dbt, Snowflake, Informatica, and Airflow to ensure reliable, high-quality data for decision-making. This role suits problem-solving engineers who thrive in a fast-paced, data-driven environment.