Data Engineer

Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization, and financial reporting. By implementing pipelines, data structures, and data warehouse architectures, this team serves as the foundation for decision-making at DoorDash.

DoorDash is looking for a Senior Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation, and tools to meet growing business needs.

• Work with business partners and stakeholders to understand data requirements.


• Work with engineering, product teams, and 3rd parties to collect required data.


• Design, develop, and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse.


• Develop and implement data quality checks, conduct QA, and implement monitoring routines to improve the reliability and scalability of our ETL processes.


• Manage a portfolio of data products that deliver high-quality, trustworthy data.


• Help onboard and support other engineers as they join the team.

• 3+ years of professional experience.


• 3+ years experience working in data engineering, business intelligence, or a similar role.


• Proficiency in programming languages such as Python/Java.


• 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie, and Azkaban using AWS/GCP.


• Expert in Database fundamentals, SQL, and distributed computing.


• 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink.


• Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms.


• Excellent communication skills and experience working with technical and non-technical teams.


• Knowledge of reporting tools such as Tableau, Superset, and Looker.


• Comfortable working in a fast-paced environment, self-starter, and self-organizing.


• Ability to think strategically, analyze, and interpret market and consumer information.


• You must be located near one of our engineering hubs.