Senior Cloud Data Engineer: Scalable Pipelines & AI

Doordash-Mexico; Ciudad de México; Presencial; MXN 900 000 - 1 200 000; Tempo integral

Resumo da oferta

DoorDash Mexico is seeking an experienced Data Engineer to join the Tax Data Mart team. You will design, build, and operate data pipelines and infrastructure powering analytics and decision-making across the company.

As part of a growing global footprint, you will own ingestion, transformation, and data quality processes, collaborate with Analytics and Data Science, and leverage modern tools like DBT, Snowflake, Airflow, and Spark to enable scalable insights for business partners.

Qualificações

• 5+ years of data engineering or similar role.
• Experience using DBT or a similar product to manage data flows.
• Experience using Claude, Cursor and similar AI tools.
• Expert at using SQL with Snowflake.
• Proficiency in Python for building data pipelines.
• Experience with modern data stack and orchestration tools such as Airflow, Spark, or Kafka.
• Strong attention to detail and problem-solving skills.
• Independent, can manage multiple projects and prioritize work.
• Excellent written and verbal communication skills.
• Project management experience and ability to create project plans and milestones.
• Degree in Computer Science, IT, Engineering, or related field.

Responsabilidades

• Design, build, and maintain scalable, reliable data pipelines (ETL/ELT) that serve data across the company.
• Develop and optimize data models and warehouse structures to support analytics and reporting.
• Participate in new business initiatives and identify their impact on existing data systems and processes.
• Work closely with Analytics, Data Science, and business partners in developing and validating new data sources.
• Identify and document business, functional and technical requirements to support new initiatives and enhance systems.
• Leverage AI and AI-assisted tooling to build and automate recurring data tasks and pipelines.
• Monitor data quality, reliability, and observability and resolve data-related issues.
• Participate in defining data tooling needs and maintenance of existing systems.
• Prepare documentation related to data systems and processes.
• Share knowledge and best practices with engineers and analysts.

Conhecimentos

Data engineering

SQL

Python

Snowflake

DBT

Airflow

Spark

Kafka

AI tooling

Formação académica

Bachelor's or Master's in Computer Science, IT, Engineering, or related field

Ferramentas

DBT

Airflow

Snowflake

Spark

Kafka

Python

Descrição da oferta de emprego

DoorDash Mexico is seeking an experienced Data Engineer to join the Tax Data Mart team. You will design, build, and operate data pipelines and infrastructure powering analytics and decision-making across the company.

As part of a growing global footprint, you will own ingestion, transformation, and data quality processes, collaborate with Analytics and Data Science, and leverage modern tools like DBT, Snowflake, Airflow, and Spark to enable scalable insights for business partners.