Difficulty
Average
Candidate-reported interview insights
Aetna Data Engineer interviews, decoded.
Explore commonly reported questions, interview rounds, difficulty, duration, and candidate experiences for the Data Engineer role at Aetna.
3.4 rating Insurance Carriers
Interview overview
Average rounds
2
Average duration
~44 days
Difficulty and candidate experience
Interview difficulty
easy20%
average70%
difficult10%
Candidate experience
negative30%
positive50%
neutral20%
Candidate-reported interview process
It started with a self-introduction and a detailed discussion about my resume, personal career plans, and interest in the insurance industry. Then, he introduced the company and the position. The interview included an algorithms coding panel. The last step was receiving reviews and feedback on my performance.
I had an interview with HR, and then a full day technical interview with the team. The interview started with 2 coding interviews: one focused on algorithms and the other on SQL. After that, there were in-depth questions about Spark and Hive.
I got an initial call from the campus career fair. Then, there was an HR phone screening where they asked general skill-related questions. After that, I had an hour-long technical face-to-face interview. The face-to-face interview itself was okay, but I wasn't ready for the SQL problems. I didn't get an offer in the end.
Common Aetna Data Engineer interview questions
A focused selection of the most detailed candidate-submitted questions.
- 1
Tell me about your research/projects that are related to big data
- 2
Tell me about your experiences with the technologies you've used.
- 3
Can you tell me about the company and this position?
- 4
What is the biggest dataset you worked on
Interview question formats
Technical45.5%
Behavioral40.9%
Coding13.6%
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Interview information is based on candidate reports and may not represent the current official hiring process of Aetna.