Senior Data Engineer: Scale Data Lakes & Pipelines

DoorDash, Inc.; San Francisco (CA); Hybrid; USD 144,000 - 212,000; Full time

Job summary

DoorDash is seeking a Senior Data Engineer to scale our data infrastructure, automation and tools. This hybrid role requires you to be located near one of our engineering hubs and collaborate with business partners to deliver high-quality data for reporting and analytics.

You will design and implement scalable data models and pipelines for Data Lake and Data Warehouse, develop quality checks, and improve ETL reliability while mentoring other engineers on the team.

Qualifications

• 5+ years of professional experience.
• 3+ years experience in data engineering, BI, or similar role.
• Proficiency in Python/Java.
• 3+ years with ETL orchestration tools such as Airflow, Flink, Oozie, Azkaban using AWS/GCP.
• Expert in SQL and distributed computing.

Responsibilities

• Understand data requirements with business partners and stakeholders.
• Collaborate with engineering, product teams and 3rd parties to collect data.
• Design, develop and implement large-scale data models and pipelines for Data Lake and Data Warehouse.
• Develop data quality checks, QA, and monitoring routines.
• Improve reliability and scalability of ETL processes.
• Manage data products delivering high-quality, trustworthy data.
• Onboard and support other engineers joining the team.

Skills

Python/Java

SQL

Distributed computing

Spark/Hive/Druid/Presto

Kafka/Flink

Snowflake/Redshift/PostgreSQL

ETL orchestration (Airflow/Flink/Oozie

Tools

Airflow

Flink

Oozie

Azkaban

Job description

DoorDash is seeking a Senior Data Engineer to scale our data infrastructure, automation and tools. This hybrid role requires you to be located near one of our engineering hubs and collaborate with business partners to deliver high-quality data for reporting and analytics.

You will design and implement scalable data models and pipelines for Data Lake and Data Warehouse, develop quality checks, and improve ETL reliability while mentoring other engineers on the team.