The Senior Data Engineer role at DoorDash is focused on scaling data infrastructure and automation to support the company's growing business needs. The Data Engineering team is essential for building database solutions that facilitate reporting, product analytics, and financial reporting. This hybrid position requires the candidate to be located in Sunnyvale, San Francisco, or Seattle. The role involves collaborating with various teams to ensure high-quality data management and support for other engineers.

• 5+ years of professional experience in data engineering or a similar role.
• 3+ years of experience with ETL orchestration and workflow management tools like Airflow or Flink.
• Proficiency in programming languages such as Python or Java.
• Expertise in SQL and distributed computing.
• Experience with distributed data ecosystems like Spark or Hive.

• Work with business partners to understand data requirements.
• Design and implement large scale data models and pipelines.
• Develop data quality checks and conduct QA.
• Improve the reliability and scalability of ETL processes.
• Manage a portfolio of data products to ensure high-quality data.