Real, anonymous reports from people who interviewed for Data Engineer at DoorDash, newest first and distilled into what to expect across the loop.
After an initial recruiter call to go over how the process would run, I moved into a live coding interview that felt brutally time-pressured. It was a mix of SQL and Python: I had four SQL prompts and one Python problem, and the last SQL questions got especially complex. While I was trying to work through my reasoning out loud, the interviewer kept interrupting and effectively derailing my train of thought, which made the already tight timeline feel impossible.
My process started with a technical screening, then it quickly expanded into a longer loop with multiple rounds combining technical work and business/product-style prompts. Across the interviews, I was asked to work through things like product analytics, SQL and Python, and a system-design-style discussion. There were also business questions that didn’t feel like pure engineering trivia—one of the themes was building out a fitness-related application, which then led into dimensional modeling where I had to think in terms of facts and dimensions.
The interview process typically begins with a technical screening that includes live coding sessions focused on SQL and Python, often with tight time constraints and a mix of problem types. Candidates should prepare for both straightforward coding challenges and more complex SQL queries, including window functions.
Candidates can expect to engage in discussions around data modeling and system design, often framed within case studies relevant to DoorDash's products. This requires a solid understanding of dimensional modeling and the ability to communicate design trade-offs effectively.
Behavioral interviews are a significant part of the process, focusing on candidates' past experiences with technical challenges and teamwork. Expect to answer questions using the STAR method to illustrate problem-solving and communication skills.
The overall difficulty of the interviews is reported as high, with some candidates experiencing a stressful or unprofessional interview environment. It's important to remain calm and focused, as the pressure can be intense during coding and technical discussions.
The interview loop typically consists of four to five rounds, combining technical and behavioral assessments, often in quick succession. Candidates should be prepared for a comprehensive evaluation that assesses both technical execution and analytical thinking.
Candidates should prepare for potential edge cases in coding problems, as some interviewers may focus on implementation details and testing rigorously. Practicing a variety of scenarios, especially in SQL and Python, can help mitigate unexpected challenges during the interview.