The Home Depot

Data Engineer Interview Experience - United States

June 20, 2025

Neutral ExperienceNo Offer

Process

I applied online through Home Depot’s careers website.

The application was straightforward — I filled out basic personal information, answered a few behavioral questions, and uploaded my resume.

Within a week, I received a call from a store manager inviting me for an in-person interview.

Questions

Tell me about yourself and your experiences.

Was this helpful?

Interview Statistics

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

Success Rate

0%

Pass Rate

The Home Depot's interview process for their Data Engineer roles in the United States is extremely selective, failing the vast majority of engineers.

Experience Rating

Positive50%

Neutral50%

Negative0%

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

The Home Depot Work Experiences

Strong Analytics, Product Lacking

Data Engineer • Current Employee

January 11, 2024

Pros: Good leadership and strong analytics teams.

Cons: Not a lot of focus on software products. This is expected because it's not a software company.

Strong Analytics, Product Lacking

Data Engineer • Current Employee

January 11, 2024

Pros: Good leadership and strong analytics teams.

Cons: Not a lot of focus on software products. This is expected because it's not a software company.

Easy Dev-ops, Dull Work

Data Engineer • Former Employee

Atlanta, Georgia, United States

Pros: Easy work, mostly dev-ops centric, for a newcomer.

Cons: 9 am meetings every day. Work was sometimes dull.

Easy Dev-ops, Dull Work

Data Engineer • Former Employee

Atlanta, Georgia, United States

Pros: Easy work, mostly dev-ops centric, for a newcomer.

Cons: 9 am meetings every day. Work was sometimes dull.

Better than my last job

Data Engineer • Current Employee

Toronto, Ontario, Canada

Pros: The ecosystem is great; everyone is collaborative and eager to help each other.

Cons: Typical bureaucracy you normally see at a non-tech company.

Better than my last job

Data Engineer • Current Employee

Toronto, Ontario, Canada

Pros: The ecosystem is great; everyone is collaborative and eager to help each other.

Cons: Typical bureaucracy you normally see at a non-tech company.

Strong Analytics, Product Lacking

Data Engineer • Current Employee

January 11, 2024

Pros: Good leadership and strong analytics teams.

Cons: Not a lot of focus on software products. This is expected because it's not a software company.

5.0
Strong Analytics, Product Lacking
Data Engineer • Current Employee
January 11, 2024
Pros: Good leadership and strong analytics teams.
Cons: Not a lot of focus on software products. This is expected because it's not a software company.

Easy Dev-ops, Dull Work

Data Engineer • Former Employee

Atlanta, Georgia, United States

Pros: Easy work, mostly dev-ops centric, for a newcomer.

Cons: 9 am meetings every day. Work was sometimes dull.

4.0
Easy Dev-ops, Dull Work
Data Engineer • Former Employee
Atlanta, Georgia, United States
June 21, 2023
Pros: Easy work, mostly dev-ops centric, for a newcomer.
Cons: 9 am meetings every day. Work was sometimes dull.

Better than my last job

Data Engineer • Current Employee

Toronto, Ontario, Canada

Pros: The ecosystem is great; everyone is collaborative and eager to help each other.

Cons: Typical bureaucracy you normally see at a non-tech company.

5.0
Better than my last job
Data Engineer • Current Employee
Toronto, Ontario, Canada
May 15, 2023
Pros: The ecosystem is great; everyone is collaborative and eager to help each other.
Cons: Typical bureaucracy you normally see at a non-tech company.

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