Big Data Engineering Interview Experience - Palo Alto, California
Process
The interview process included a phone screen round, followed by two technical interviews conducted back-to-back.
The second technical interview was significantly hampered by logistical issues. These included:
- A malfunctioning microphone
- The CoderPad site crashing
- Network connectivity problems
Additionally, the interviewer had an extremely thick accent, which necessitated constant clarification back-and-forth, further reducing problem-solving time. Despite these challenges, the problems themselves were not very difficult and were entirely doable.
Questions
Why LinkedIn?
Some questions about:
- SQL queries
- Database transactions
- Batch vs. stream processing
- Some intermediate coding problems
Was this helpful?
Interview Statistics
The following metrics were computed from 1 interview experience for the LinkedIn Big Data Engineering role in Palo Alto, California.
Success Rate
LinkedIn's interview process for their Big Data Engineering roles in Palo Alto, California is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having very negative feelings for LinkedIn's Big Data Engineering interview process in Palo Alto, California.
LinkedIn Work Experiences
- 4.0Good Perks, But Process ChaosSoftware Engineer • Current EmployeePalo Alto, California, United StatesJuly 5, 2025Pros: Lots of perks, food, and good people.Cons: Too much process, not much clarity for planning.
- 4.0OK place to workSoftware Engineer • Current EmployeePalo Alto, California, United StatesDecember 21, 2016Pros: Fast-paced environment, smart people, plenty of journal clubs, etc., to learn cool new things. Free food, snacks, and gym.Cons: High turnover, large abrupt changes from management. Since they are high growth, a significant portion of my job was migrating to new systems, which was dull.
- 4.0Very Good Work EnvironmentSenior QA Engineer • Current EmployeeBengaluru, Karnataka, IndiaJanuary 3, 2016Pros: Superb technology used, flexible work environment, good onsite opportunities, good free food. You will get whatever you want.Cons: Nothing much. Decisions are on the fly.
LinkedIn Interview Questions
