Data Engineering at Roku
Roles, Comp & Culture
An L4 mid data engineer at Roku sits around $395K total comp from 6 verified salary datapoints. The primary Data Engineering tech consists of Airflow, AWS and Spark, according to current job listings. Roku pays data engineers above other Technology companies. Reviews put them at 3.7 on Glassdoor, a little below the middle of the pack. Employee sentiment at Roku reads neutral and employee happiness has held flat over the past year. Layoff risk scores low for the next 30 days. 13 data engineering roles are open right now.
Roku data engineer compensation
Each level's figure is the median of individual Roku offers at that level, so it reflects a typical outcome rather than an average pulled up by a few large packages. Total comp counts base salary plus equity and bonus annualized over the vest, and the range shown is the middle half of offers, with the top and bottom quarters trimmed off.
Roku employee sentiment, tracked weekly
Employee happiness for data engineers over the past year, so you can see which direction it is moving, not just where it sits today.
Recent Roku events
Layoffs, leadership changes, and other major moves at the company, with dates.
- Exec departureJul 2025Leadership change
- Exec departureMay 2025Leadership change
- Exec departureMar 2025Leadership change
- Exec departureJan 2025Leadership change
Notable company events we track, with dates.
Roku data engineering tech stack
The languages, storage, and processing tools Roku data engineers actually work with, grouped by what they do. Tailor your system-design answers to this stack.
SQL
IcebergRoku data engineer job openings
A live read on what they are hiring: open roles, recent postings, where, and at what level.
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
Practice for the Roku loop
Round by round, the problems our model predicts for this company's interview. Rehearse the shapes their panels keep returning to.
Preparing for the Roku loop
The round-by-round process, example questions, and prep plan are on the interview guide.
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