Cloud Data Engineer: Scale Pipelines & AI-Driven Analytics

DoorDash USA; Ciudad de México; On-site; MXN 900,000 - 1,400,000; Full time

Job summary

DoorDash is seeking an experienced Data Engineer to join the Tax Data Mart team. You will own the design, implementation, and operation of data pipelines and data infrastructure to power analytics and business decisions.

This role focuses on scalable, reliable systems to support DoorDash’s growth and data-driven initiatives. You will collaborate with Analytics, Data Science, and business partners to ensure data quality, governance, and timely access to trusted data sources, leveraging modern

Qualifications

• 5+ years of data engineering experience.
• Proficient with SQL and Snowflake.
• Experience with DBT for data flows.
• Strong Python programming for pipelines.
• Experience with Airflow, Spark, or Kafka.
• Familiar with Claude and Cursor AI tools.
• Bachelor's degree in CS/IT/Engineering.

Responsibilities

• Own and design scalable data pipelines and ETL/ELT processes.
• Develop data models and warehouse structures for analytics.
• Collaborate with Analytics, Data Science, and business partners.
• Monitor data quality, reliability, and observability across pipelines.
• Document data systems and promote best practices.

Skills

5+ years experience

SQL

Python

AI tooling (Claude/Cursor)

Project management

Communication

Education

CS/IT/Engineering degree

Tools

DBT

Airflow

Snowflake

Spark

Kafka

Claude

Cursor

Job description

DoorDash is seeking an experienced Data Engineer to join the Tax Data Mart team. You will own the design, implementation, and operation of data pipelines and data infrastructure to power analytics and business decisions.

This role focuses on scalable, reliable systems to support DoorDash’s growth and data-driven initiatives. You will collaborate with Analytics, Data Science, and business partners to ensure data quality, governance, and timely access to trusted data sources, leveraging modern