Checkout.com Data Engineer Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 11 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Checkout.com.
Checkout.com
Data Analytics Engineer
Mid Average Negative experience No offer 5 rounds
Interview process
Recruiter call Phone screen Technical screen Onsite Onsite Background check
Interview formats
Behavioral Technical Coding System Design
The interview process wasn’t bad, but it was really drawn out. I applied in February 2025, and there was about a two-week gap between each stage. So, the final interview was in early May. It involved an initial recruiter call (which took two tries because the recruiter ghosted me for a week the first time), a chat with managers about my experience, a technical interview, and then two onsite interviews – one technical and one behavioral. Things were going fine until the last behavioral interview where the manager dropped that promotions are only for the team, not individuals, framed in a 'team-as-family' way. That was a big red flag for me. After that, I heard nothing back. While it didn't end up being a loss for me, it does show their overall approach to hiring and communication.
Confirmed questions6 questions
- Can you discuss your professional background and past work experience?
- Complete two SQL challenges of medium-to-hard difficulty, comparable to HackerRank problems.
- Given a realistic scenario, design a data pipeline.
Checkout.com
Data Engineer
Entry Average Positive experience No offer 2 rounds
Interview process
Recruiter call Phone screen
Interview formats
Technical Coding Behavioral
The interview process started with a recruiter call. After that, there was a call with the hiring manager who asked me general data engineering questions and some coding questions, covering topics like observability, good coding practices, testing, and CI/CD.
Confirmed questions1 question
- How do you make sure your code is easy for other developers to read and use?
Checkout.com
Senior Data Engineer
Senior Average Positive experience Decline offer 5 rounds
Interview process
Recruiter call Technical screen Technical screen Take home Offer
Interview formats
Coding System Design Technical
So the whole process for this role was 4 stages. First, a recruiter call to screen my CV and check if I'm a good fit. Then, an online assessment with one algorithm problem and one backend exercise. After that, there was a coding interview, and then a system design interview where I had to design a data pipeline to calculate some analytics. Finally, there was a take-home exercise to design and implement a data pipeline, and then the offer stage.
Confirmed questions1 question
- Can you design a data streaming pipeline?
Checkout.com Data Engineer Interview Questions
Quoted word for word from Checkout.com interview reports.
“Could you explain how to perform a merge and upsert operation in SQL?”
Read reports →“How would you build a workflow to ensure JSON fields are valid, specifically using SQL for filtering?”
Read reports →“How do you make sure your code is easy for other developers to read and use?”
Read reports →“What is your understanding of database architecture?”
Read reports →“Can you design a data streaming pipeline?”
Read report →“What are your strategies for managing late-arriving data?”
Read report →“Given a realistic scenario, design a data pipeline.”
Read report →“How would you approach system design for data engineers, considering aspects like data pipelines and dimensional modeling?”
Read report →“Are you familiar with dbt?”
Read report →Formats, difficulty and experience
Across all 11 Checkout.com interview reports.