Block

Data Engineer Interview Experience

July 1, 2018

Positive ExperienceGot Offer

Process

The first round was with the manager of the DE team, followed by a call from the recruiter regarding salary expectations and general information. This was followed by a technical phone screen on CoderPad with SQL and Python questions.

Questions

Questions revolved around an ETL schema on CoderPad and forming SQL queries based on it.

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Interview Statistics

The following metrics were computed from 4 interview experiences for the Block Data Engineer role in United States.

Success Rate

75%

Pass Rate

Block's interview process for their Data Engineer roles in the United States is incredibly easy as the vast majority of engineers get an offer after going through it.

Experience Rating

Positive100%

Neutral0%

Negative0%

Candidates reported having very good feelings for Block's Data Engineer interview process in United States.

Block Work Experiences

Awesome place to work in

Data Engineer • Current Employee

San Francisco, California, United States

Pros: Culture, vacation policy, RSUs, Food

Cons: (Depending on the team), work/life balance is poor.

Awesome place to work in

Data Engineer • Current Employee

San Francisco, California, United States

Pros: Culture, vacation policy, RSUs, Food

Cons: (Depending on the team), work/life balance is poor.

Good work-life balance, but management needs improvement

Data Engineer • Current Employee

September 27, 2026

Pros: Good work-life balance and pay.

Cons: There were heavy reorgs and not-so-great higher management.

Good work-life balance, but management needs improvement

Data Engineer • Current Employee

September 27, 2026

Pros: Good work-life balance and pay.

Cons: There were heavy reorgs and not-so-great higher management.

NA

Data Engineer • Current Employee

Pros: Work-life balance is good.

Cons: The company laid off forty percent of its workforce.

Data Engineer • Current Employee

Pros: Work-life balance is good.

Cons: The company laid off forty percent of its workforce.

Awesome place to work in

Data Engineer • Current Employee

San Francisco, California, United States

Pros: Culture, vacation policy, RSUs, Food

Cons: (Depending on the team), work/life balance is poor.

5.0
Awesome place to work in
Data Engineer • Current Employee
San Francisco, California, United States
March 13, 2021
Pros: Culture, vacation policy, RSUs, Food
Cons: (Depending on the team), work/life balance is poor.

Good work-life balance, but management needs improvement

Data Engineer • Current Employee

September 27, 2026

Pros: Good work-life balance and pay.

Cons: There were heavy reorgs and not-so-great higher management.

3.0
Good work-life balance, but management needs improvement
Data Engineer • Current Employee
Dallas, TX
September 27, 2026
Pros: Good work-life balance and pay.
Cons: There were heavy reorgs and not-so-great higher management.

NA

Data Engineer • Current Employee

Pros: Work-life balance is good.

Cons: The company laid off forty percent of its workforce.

3.0
NA
Data Engineer • Current Employee
Austin, TX
March 9, 2026
Pros: Work-life balance is good.
Cons: The company laid off forty percent of its workforce.

Block Interview Questions

Rotating the Box

Simulate a box tilting to the right, causing stones to fall until they hit obstacles or the floor. Re-arrange the characters in a given grid to reflect the resulting state of the box.

ArraysStringsTwo Pointers

Available Captures for Rook

On a chessboard, find how many pawns a rook can capture in one move. The rook can move horizontally or vertically until it hits an obstacle or the edge of the board.

Count Nice Pairs in an Array

You're given an array of numbers. Find how many pairs of numbers in the array satisfy a specific 'nice' property determined by reversing their digits and comparing them.

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