Real, anonymous reports from people who interviewed for Data Engineer at Meta Platforms, newest first and distilled into what to expect across the loop.
My journey started with a recruiter-style conversation and then jumped quickly into the main technical screen. The structure was very consistent: split time across Python and SQL, with a set of questions that had to be completed under a strict one-hour constraint. In my case, I was expected to solve multiple problems—first a batch in Python and then SQL—where the pace mattered as much as correctness.
After a recruiter call, I moved into what felt like a full speed technical screening loop. The process consistently revolved around SQL and Python, where each round was framed as its own mini “architecture” test: translating requirements into a working approach, then proving I could execute under pressure. The early stages were already tough, not because the concepts were exotic, but because the prompts were sometimes loosely explained, and I had to figure out what the interviewer actually wanted and then drive the solution.
The interview process typically begins with a recruiter call focused on fit, background, and logistics, providing clear expectations for the subsequent stages. This initial conversation sets a positive tone for the overall experience.
Candidates face a rigorous technical screening primarily focused on SQL and Python, with a mix of tasks that require quick problem-solving under time constraints. The emphasis is on speed and completeness rather than deep algorithmic challenges.
The SQL portion often includes complex tasks involving joins, window functions, and data interpretation, where understanding the business context is crucial for success. Candidates report that getting the prompt right is as important as solving the queries.
Later rounds emphasize end-to-end data tasks, requiring candidates to demonstrate ownership and the ability to connect product thinking with data modeling. This includes defining KPIs and justifying data structure choices.
Candidates consistently mention the high stakes of time pressure during technical rounds, where maintaining a steady rhythm and clear communication is essential. This pacing often adds to the overall difficulty of the interview process.
While many candidates appreciate the structured process and clear communication, the cumulative workload and time constraints often lead to rejections, leaving them feeling that the evaluation was as much about mental endurance as technical skills.