Roku Data Engineer Interview Guide
The Roku data engineer loop, round by round: what each stage tests, example questions with the guidance interviewers actually score, the mistakes that sink strong candidates, and how to prepare.
What the Roku loop tests: domains and difficulty
Our prediction of the question mix by domain and difficulty for this company's data engineer loop, from live listings and interview reports.
The domain and difficulty mix we predict for a Roku data engineer loop, across 12 problems. It updates as more Roku data lands.
1 real Roku interview questions
Reported by candidates from real loops, tagged by domain, round, level, and year. Expand for what the round is scoring.
Data modelingL6 · 20251. Design a data model for streamingRecruiter · screen+
Try a Roku-style SQL round
Find every user active on 3 or more CONSECUTIVE days. This gaps-and-islands shape shows up in nearly every DE SQL round. Edit the query and run it against the seed data.
Practice the Roku loop
The problems our model expects in this company's interview, grouped by round. Work the shapes that come up, not the ones that read well on a list.
Roku is hiring data engineers now
The roles behind this loop. Prep against the levels and locations they are actually filling.
Build highly scalable, available, and fault-tolerant distributed data processing systems (batch and streaming) that process tens of terabytes of data daily and manage a petabyte-scale data warehouse
Build highly scalable, available, fault-tolerant distributed data processing systems (batch and streaming systems) processing over 10s of terabytes of data ingested every day and petabyte-sized data warehouse
Building highly scalable, fault-tolerant distributed data processing systems (batch and streaming) that handle tens of terabytes of data each day, supporting a petabyte-scale data warehouse.
Create scalable batch and streaming pipelines for billions of daily ad events with strong freshness, accuracy, and schema consistency
Develop distributed data processing jobs for large-scale event processing and experiment analytics
Build highly scalable, available, fault-tolerant distributed data processing systems (batch and streaming systems) processing over 10s of terabytes of data ingested every day, and a petabyte-sized data warehouse
Roku compensation and culture
The numbers, tech stack, and team structure live on the company overview.
Compare Roku with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at Roku interview difficulty
- 01
Reading a solution is not the same as writing one
Every engineer who has frozen on a query they had read a dozen times knows the gap. The only preparation that closes it is producing the answer yourself, under time, before the interview does it for you
- 02
76% of hiring managers reject on the coding task, not the resume
From HackerRank's 2024 Developer Skills Report. Candidates who look strong on paper still fail the live screen if they haven't done timed, executable practice
- 03
5 problem shapes cover 80% of data engineer loops
Dedup, sessionization, top-N-per-group, slowly-changing dimensions, partition tricks. Writing the shapes by hand turns the unfamiliar into pattern recognition