Is it hard to get hired as a Data Engineer at Tampa Bay Rays?

Data Engineer applicants have rated the interview process at Tampa Bay Rays with 4 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 75% positive. This is according to Glassdoor user ratings.

How long does it take to get hired as a Data Engineer at Tampa Bay Rays?

Candidates applying for Data Engineer roles take an average of 56 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at Tampa Bay Rays overall takes an average of 27 days.

Where can I find Tampa Bay Rays interview experiences by job title?

Fan Host (12) ; Ticket Sales Representative (7) ; Intern (6) ; Coordinator (4) ; Account Executive (3) ; Ticket Sales (3) ; Minor League Baseball Player (2) ; Minor League Pitcher (2) ; Strength and Conditioning Coach (2)

Tampa Bay Rays Data Engineer Interview Questions

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Tampa Bay Rays

Interviews

Data Engineer Interview

Sep 2, 2022

Anonymous Interview Candidate

Declined offer

Positive experience

Difficult interview

Application

I applied online. The process took 8 weeks. I interviewed at Tampa Bay Rays (Tampa, FL) in Aug 2021

Interview

Very clean interview process. Very positive and friendly team. Their interview process is slower than most tech companies -- while most tech companies are trying to interview and get you hired within 3 weeks, this process took many more weeks than that from resume submission to final conversation with baseball ops

Interview questions [1]

Question 1

there were two take home sections of the interview. The first was to utilize python, go find an MLB api, and create a "baseball card". The second was a bunch of SQL questions. They're using T-SQL, so if you're only used to more modern databases like Snowflake/GCP, this can be a challenge

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