Interview questions
Preparing for a data engineering interview at Gartner? This page contains 17 real interview questions sourced from verified Gartner interview experiences. Questions are sorted by frequency — the ones asked most often appear first.
Gartner data engineering interviews typically focus on System Design/Architecture, Python/Coding, and SQL. There's a solid mix of fundamental and advanced questions, making it accessible for candidates at multiple experience levels.
Use the difficulty filters above to focus your preparation. For each question, attempt your own answer first, then compare with our expert solution. You can also practice these questions in our AI Mock Interview Coach for real-time feedback.
How do you handle disagreement with a co-worker?
How do you handle lack of communication from stakeholders?
How do you handle fluctuations in active users?
Create a dictionary with list elements as keys and their occurrences as values.
Explain Lambda functions in Python.
Explain this code: [f(2) for f in [lambda x: x * i for i in range(5)]].
Write a swap function without if-else.
Compare PostgreSQL vs Snowflake. How do they handle duplicate record errors?
How many rows result from left, right, full outer, and inner joins?
What is CTE in SQL?
Write a self join query to get the manager's name for each employee.
Explain database drivers/connectors and their use cases.
Compare Native vs Cloud Database Systems.
Design a high-level system for a Netflix-like app.
Design an End-to-End ETL Pipeline.
How do you handle exceptions in data ingestion?
How do you optimize data ingestion?
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