Senior Data Engineer: Scale Data Pipelines & Analytics

Salesforce, Inc.; Ciudad de México; On-site; MXN 900,000 - 1,500,000; Full time

Job summary

Salesforce is hiring a Data Engineer in Mexico City to design, build, and optimize scalable data pipelines and models powering analytics and business insights. You’ll work across dbt, Snowflake, Informatica, and Airflow in a fast-paced, data-driven environment.

The ideal candidate has 5–7 years of hands-on data engineering experience, strong SQL, and knowledge of Python, with a focus on data quality and collaboration with cross-functional teams.

Qualifications

• 5–7 years of hands-on experience in data engineering or data platform development.
• Strong proficiency in SQL and working knowledge of 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.
• Effective communicator and team player, able to work in cross-functional environments.
• Passion for data-driven decision-making and improving data infrastructure.

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.
• Stay current with emerging data technologies and engineering best practices.

Skills

SQL

Python

dbt

Snowflake

Informatica

Airflow

Data modeling

CI/CD

Git

Data quality

Tools

dbt

Snowflake

Informatica

Apache Airflow

Job description

Salesforce is hiring a Data Engineer in Mexico City to design, build, and optimize scalable data pipelines and models powering analytics and business insights. You’ll work across dbt, Snowflake, Informatica, and Airflow in a fast-paced, data-driven environment.

The ideal candidate has 5–7 years of hands-on data engineering experience, strong SQL, and knowledge of Python, with a focus on data quality and collaboration with cross-functional teams.