Data Engineer Interview Experience - United States
October 8, 2020
Negative ExperienceNo Offer
Process
The interview questions were not related to the job description. The job description asked for experience in ETL, but the questions were for a DBA role. The first round was easy, but the second round was unexpected.
Questions
Explain Query execution plan in SQL Server.
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Interview Statistics
The following metrics were computed from 2 interview experiences for the Discover Financial Data Engineer role in United States.
Success Rate
0%
Pass Rate
Discover Financial's interview process for their Data Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive50%
Neutral0%
Negative50%
Candidates reported having mixed feelings for Discover Financial's Data Engineer interview process in United States.
Discover Financial Work Experiences
4.0
One of the best places to work
Data Engineer • Current Employee
Chicago, Illinois, United States
June 4, 2025
Pros: Very friendly work environment, great work/life balance, and good benefits.
Cons: Outdated tech stack. Not easy to move up within the company.
5.0
Great Culture, Slow Promotions
Data Engineer • Former Employee
October 12, 2024
Pros: Overall, good work culture and work-life balance.
Cons: It takes time to promote.
4.0
Great team of people to work with, but slow adoption of tools
Data Engineer • Former Employee
May 6, 2024
Pros: Great team culture, interesting types of data.
Cons: Use of some legacy tools.
- 4.0One of the best places to workData Engineer • Current EmployeeChicago, Illinois, United StatesJune 4, 2025Pros: Very friendly work environment, great work/life balance, and good benefits.Cons: Outdated tech stack. Not easy to move up within the company.
- 5.0Great Culture, Slow PromotionsData Engineer • Former EmployeeOctober 12, 2024Pros: Overall, good work culture and work-life balance.Cons: It takes time to promote.
- 4.0Great team of people to work with, but slow adoption of toolsData Engineer • Former EmployeeMay 6, 2024Pros: Great team culture, interesting types of data.Cons: Use of some legacy tools.
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