Workday Data Engineer Interview Guide
The Workday 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.
1 real Workday interview questions
Reported by candidates from real loops, tagged by domain, round, level, and year. Expand for what the round is scoring.
SQLL6 · 2025Calculate the click-through conversion rate: users who added product to cart after viewing divided by total who viewedPhone screen · screen sql+
Tables: view_logs(log_id, user_id, product_id), add_to_cart_logs(log_id, user_id, product_id). LEFT JOIN view_logs to add_to_cart_logs on user_id and product_id. Compute COUNT(DISTINCT cart users) / COUNT(DISTINCT view users) as conversion rate. Must handle NULLs from LEFT JOIN correctly.
Try a Workday-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.
Workday is hiring data engineers now
The roles behind this loop. Prep against the levels and locations they are actually filling.
As part of Workday’s Data platform team, you will be responsible for building, enhancing, and extending our Spark and Trino-based large-scale distributed data processing platform in the cloud.
We’re Platypus, an AI/ML-centered data engineering team and our goal is to ingest, manage, derive, and serve data across Workday’s growing suite of AI/ML features.
Compute Infrastructure Scaling: Design, configure, and maintain the foundational compute engines and query layers (e.g., AWS EMR clusters, AWS Athena, Redshift) utilized by downstream data engineers, analysts, and BI tools.
Design, build, and secure high-throughput APIs, data connectors, and reverse-ETL patterns to sync data back into business systems (e.g., CRMs, ERPs, marketing automation).
Workday compensation and culture
The numbers, tech stack, and team structure live on the company overview.
Compare Workday with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at Workday 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