Interviewing at Dell for a senior data engineering role in 3 weeks and the info out there is scattered and old. Most posts I find are from 2021-2022 and the hiring process has probably shifted.
If you've interviewed at Dell recently for anything in the data space: data engineering, data science, analytics engineering, business intelligence, data architect, whatever, drop what you remember. Round count, what they actually tested, timeline, any gotchas.
Specifically curious: do they use HackerRank or a live coding setup? Any SQL-heavy rounds? Do the behavioral questions follow a specific framework they signal upfront?
I'll compile and share back anything useful. Appreciate it.
3 replies
ds_dmitri
interviewed for a data scientist role at Dell about 4 months ago. they used a take-home for the technical part, not live coding. SQL + Python notebook, had 48 hours to return it. the SQL was legit, not toy queries, they gave me a schema and wanted joins, window functions, and an explanation of the query plan. the Python part was more exploratory, here's some messy data, find something interesting and explain it to a non-technical audience.
analyst_ana
not data engineering but I did a BI analyst loop there earlier this year. 3 rounds, recruiter then a Tableau/SQL skills screen then a hiring manager conversation. the HM round was 60% behavioral, she kept asking about how I communicate findings to stakeholders who don't want to look at charts.
infra_ines
fwiw heard from someone on the data platform side that the data eng loop does include a live architecture discussion, not just coding. something like: walk me through how you'd design a pipeline from raw ingestion to a reporting layer given these constraints. not a whiteboard thing, more of a conversation.