The Senior Data Engineer role at DoorDash is focused on scaling the data infrastructure and automation to support growing business needs. The Data Engineering team is essential for building database solutions that facilitate reporting, product analytics, and marketing optimization. This hybrid position requires the candidate to be located in Sunnyvale, San Francisco, or Seattle. The successful candidate will work closely with business partners and engineering teams to ensure high-quality data management and support other engineers in the team.

• 5+ years of professional experience in data engineering or a similar role.
• 3+ years of experience working with ETL orchestration and workflow management tools like Airflow, Flink, Oozie, and Azkaban using AWS/GCP.
• Proficiency in programming languages such as Python or Java.
• Expertise in database fundamentals, SQL, and distributed computing.
• 3+ years of experience with distributed data ecosystems like Spark, Hive, Druid, or Presto and streaming technologies such as Kafka or Flink.
• Experience with Snowflake, Redshift, PostgreSQL, or other DBMS platforms.
• Excellent communication skills and experience working with both technical and non-technical teams.

• Work with business partners and stakeholders to understand data requirements.
• Collaborate with engineering, product teams, and third 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.
• Improve the reliability and scalability of 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.