# Meta Data Engineer Interview Guide Aced (formerly Exponent) publishes a public search API over its indexed pages; the guide is at https://www.aced.io/agents/agent-access. Source: https://www.aced.io/guides/meta-data-engineer-interview Source observed: 2026-11-04T21:21:35.837Z Last checked: 2026-11-04T21:21:35.837+00:00 Indexed: 2026-11-05T01:51:16.148+00:00 --- # Meta Data Engineer Interview Guide Updated 23 days ago by Meta candidates. Written by Kevin Landucci, Subject Matter Expert, Interviewing. We provide this guide for candidates preparing for Meta's data engineer (DE) interview. It covers the interview stages, what interviewers look for, example questions, preparation advice, and related resources. Our guides are created from recent, real, first-hand insights shared by interviewers and candidates. [Tell us about a different experience](https://www.aced.io/questions/contribute). ## Guide sections - [Expert guide](https://www.aced.io/guides/meta-data-engineer-interview) - [Interview experiences — 8](https://www.aced.io/guides/meta-data-engineer-interview/experiences) - [Questions — 62](https://www.aced.io/guides/meta-data-engineer-interview/questions) - [Resumes](https://www.aced.io/guides/meta-data-engineer-interview/resumes) ## Meta data engineer interview process The process typically takes roughly **3–5 weeks** and has three stages: 1. **Recruiter screen:** A discussion of background, motivation, role alignment, and logistics, followed by a preparation handoff with Meta's official resources. 2. **Technical screen:** **Five SQL and five Python questions** in CoderPad. The reported pass bar is **three correct answers in each half**. 3. **Onsite loop:** **Four blended technical rounds** covering product sense, data modeling, SQL, and Python, followed by a standalone behavioral round. The loop is tightly standardized across teams. The main pressure point is density: the technical screen packs **10 questions into one hour**, and each onsite round combines four skill areas. ## Recruiter screen Meta's data engineer recruiter screen is a **30-minute call** focused on fit, motivation, and logistics. Recruiters also share official Meta preparation resources and a structured overview of the later rounds before the technical screen. ## Additional sections in the full guide The page's contents list also includes: - Technical screen - Onsite loop - Product sense and data modeling in the onsite loop - SQL and Python in the onsite loop - Behavioral interview - How to prepare for the Meta data engineer interview - Additional resources - FAQs about the Meta data engineer interview The remaining guide sections require membership to unlock. Members receive the complete guide, prep courses, practice tools, and job referrals. [Become a member](https://www.aced.io/upgrade?src=guide) or [log in](https://www.aced.io/login?src=guide&returnPath=%2Fguides%2Fmeta-data-engineer-interview). ## 181 resumes that passed Meta's screen We feature **181 resumes** shared by candidates who got the interview, including the schools, companies, and skills they list. The visible examples include software engineer resumes labeled **Full-Time** or **No-Experience**, with examples showing companies such as Amazon, Google, Meta, Microsoft, Apple, and Adobe. These are candidate-submitted resume examples, not Aced performance results. [See all 181 resumes](https://www.aced.io/guides/meta-data-engineer-interview/resumes) ## Prepare with Aced We offer free interview guides, insider tips, and courses through Aced, formerly Exponent. [Explore Data Engineer content](https://www.aced.io/courses?tag=data-engineer&src=guide) for mock interviews, fundamentals, and interview tips, or [create a free account](https://www.aced.io/signup?src=guide). ### Related Aced resources - [Data engineering course](https://www.aced.io/courses/data-engineering) - [Interview experiences](https://www.aced.io/experiences?src=nav) - [Interview questions](https://www.aced.io/questions?src=nav) - [Data engineering interview questions](https://www.aced.io/questions?role=data-engineer&type=data-pipeline-design&type=system-design&type=sql&type=data-modeling&src=nav) - [Practice](https://www.aced.io/practice?src=nav) - [Coaching](https://www.aced.io/coaching?src=nav) - [Pricing](https://www.aced.io/upgrade?src=nav) --- [Read this page’s summary](https://www.aced.io/agents/api/public/v1/page-tldr?url=https%3A%2F%2Fwww.aced.io%2Fguides%2Fmeta-data-engineer-interview&trace=t_679ff9ab98f3) ## Ask a follow-up about this page Need a more specific answer? 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