Snowflake Data Engineer: Build Scalable Pipelines & AI

DoorDash Mexico; Ciudad de México; Presencial; MXN 700 000 - 950 000; Tempo integral

Resumo da oferta

DoorDash Mexico is seeking an experienced Data Engineer to join the Tax Data Mart team. You will own data ingestion, transformation, and governance to power analytics and decision making across the company.

The role focuses on building scalable data pipelines, optimizing data models, and maintaining data quality as DoorDash expands its global footprint. You will collaborate with Analytics, Data Science, and business partners to design new data sources and improve existing systems.

Qualificações

• 5+ years in data engineering or similar role.
• Experience with modern data stack and orchestration tools.

Responsabilidades

• Design, build, and maintain scalable data pipelines (ETL/ELT) across the company.
• Develop data models and warehouse structures to support analytics.
• Collaborate with Analytics, Data Science, and business partners on new data sources.
• Monitor data quality, reliability, and observability; resolve data issues.
• Prepare documentation and share best practices with the team.
• Lead design and operation of data pipelines and related processes.

Conhecimentos

SQL (Snowflake)

Python

DBT

Airflow

Spark

Kafka

ETL/ELT pipelines

Data modeling

Data quality & observability

AI tooling

Formação académica

Computer Science / IT / Engineering degree

Ferramentas

Claude

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Descrição da oferta de emprego

DoorDash Mexico is seeking an experienced Data Engineer to join the Tax Data Mart team. You will own data ingestion, transformation, and governance to power analytics and decision making across the company.

The role focuses on building scalable data pipelines, optimizing data models, and maintaining data quality as DoorDash expands its global footprint. You will collaborate with Analytics, Data Science, and business partners to design new data sources and improve existing systems.