Snowflake Data Engineer: Scalable Pipelines & Analytics

DoorDash, Inc.; Estado de México; On-site; MXN 900,000 - 1,300,000; Full time

Job summary

DoorDash is seeking an experienced Data Engineer to join our Tax Data Mart team and build and operate data pipelines and infrastructure powering analytics and decision-making across the company. You will own the processes for ingesting, transforming, and controlling data, ensuring accuracy and availability for analytics and business users.

As a member of this team, you will design, implement, and operate data pipelines to support the Company's exponential growth, collaborating with Analytics,

Qualifications

• 5+ years of experience in a data engineering or similar role.
• Experience using Data Build Tool (DBT) or a similar product to manage data flows.
• Experience using Claude, Cursor and similar AI tools.
• You are an expert at using SQL with experience using Snowflake.
• Proficiency in Python (or a comparable language) for building data pipelines.
• Experience with modern data stack and orchestration tools such as Airflow, Spark, or Kafka.
• You have strong attention to detail and analytical, organizational, and problem-solving skills.
• You’re an independently motivated person with a proven ability to manage multiple projects and prioritize work independently.
• You have excellent written and verbal communication skills.
• Project management experience, including creation of project plans, milestones, and due dates.
• Computer Science, Information Technology, Engineering, or a related degree.

Responsibilities

• Design, build, and maintain scalable 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 system(s) and processes.
• Work closely with Analytics, Data Science, and business partners in the development and validation of new data sources.
• Identify and document business, functional and technical requirements to support new business initiatives and to enhance existing system functionality.
• Leverage AI & AI assisted tooling to build and automate recurring data tasks & pipelines.
• Monitor data quality, reliability, and observability, and resolve data-related issues for our internal business partners.
• Participate in defining the company's data tooling needs, including the maintenance of existing systems.
• Prepare documentation related to our data systems and processes.
• Share knowledge and best practices with engineers and analysts across the team.

Skills

SQL

Python

Snowflake

DBT

Airflow

Spark

Kafka

Data modeling

Analytical skills

Communication

Education

BS in Computer Science / IT / Engineering

Tools

Claude

Cursor

Job description

DoorDash is seeking an experienced Data Engineer to join our Tax Data Mart team and build and operate data pipelines and infrastructure powering analytics and decision-making across the company. You will own the processes for ingesting, transforming, and controlling data, ensuring accuracy and availability for analytics and business users.

As a member of this team, you will design, implement, and operate data pipelines to support the Company's exponential growth, collaborating with Analytics,