Intel

Big Data Engineer Interview Experience - Santa Clara, California

March 1, 2016

Negative ExperienceNo Offer

Process

Two phone interviews were conducted, taking about two weeks. There was a three-round onsite interview after a one-week wait, with no email replies afterward. No feedback was ever provided.

Java knowledge and data structures are a must. Questions were also asked about Hadoop and HDFS, including their pros and cons. Basic concepts such as Java Garbage Collection and multithreading were also covered.

Questions

Phone interview: Two Sum and basic Java knowledge

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Interview Statistics

The following metrics were computed from 1 interview experience for the Intel Big Data Engineer role in Santa Clara, California.

Success Rate

0%

Pass Rate

Intel's interview process for their Big Data Engineer roles in Santa Clara, California is extremely selective, failing the vast majority of engineers.

Experience Rating

Positive0%

Neutral0%

Negative100%

Candidates reported having very negative feelings for Intel's Big Data Engineer interview process in Santa Clara, California.

Intel Work Experiences

Very good

Big Data Engineer • Former Employee

January 7, 2023

Pros: Direct contact with innovative technology. Good VR/VT.

Cons: If a career plan

Big Data Engineer • Former Employee

January 7, 2023

Pros: Direct contact with innovative technology. Good VR/VT.

Cons: If a career plan

It's alright, but still a corporation

Big Data Engineer • Current Employee

Hillsboro, Oregon, United States

Pros: Used to get food for a $1.

Cons: Not totally remote, but a great place to work.

It's alright, but still a corporation

Big Data Engineer • Current Employee

Hillsboro, Oregon, United States

Pros: Used to get food for a $1.

Cons: Not totally remote, but a great place to work.

Good Student Money, Old Tech

Big Data Engineer • Former Employee

January 14, 2022

Pros: Very nice for earning money as a student.

Cons: Old technology and not recommended for bipositional use.

Good Student Money, Old Tech

Big Data Engineer • Former Employee

January 14, 2022

Pros: Very nice for earning money as a student.

Cons: Old technology and not recommended for bipositional use.

Very good

Big Data Engineer • Former Employee

January 7, 2023

Pros: Direct contact with innovative technology. Good VR/VT.

Cons: If a career plan

3.0
Very good
Big Data Engineer • Former Employee
January 7, 2023
Pros: Direct contact with innovative technology. Good VR/VT.
Cons: If a career plan

It's alright, but still a corporation

Big Data Engineer • Current Employee

Hillsboro, Oregon, United States

Pros: Used to get food for a $1.

Cons: Not totally remote, but a great place to work.

3.0
It's alright, but still a corporation
Big Data Engineer • Current Employee
Hillsboro, Oregon, United States
March 20, 2023
Pros: Used to get food for a $1.
Cons: Not totally remote, but a great place to work.

Good Student Money, Old Tech

Big Data Engineer • Former Employee

January 14, 2022

Pros: Very nice for earning money as a student.

Cons: Old technology and not recommended for bipositional use.

5.0
Good Student Money, Old Tech
Big Data Engineer • Former Employee
January 14, 2022
Pros: Very nice for earning money as a student.
Cons: Old technology and not recommended for bipositional use.

Intel Interview Questions

Find Consecutive Integers from a Data Stream

Design a data structure to check if the last 'k' integers in a stream are equal to a given number. Implement a function that efficiently determines if the last 'k' elements are consecutive and match the given value.

ArraysTwo PointersSliding Windows

Maximum Nesting Depth of the Parentheses

Determine the maximum level of nested parentheses within a given string. Essentially, find the deepest level of parentheses in the expression.

Number of Islands

Given a grid representing land and water, count the number of distinct islands. An island is formed by connected land cells.

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