Top 32
Prep plan
Updated weekly · Last refresh Oct 17

American Express Data Engineer Interview Questions

The questions to prepare for a American Express Data Engineer interview. Questions from real interview reports rank first. Updated daily.

32questions
~6htotal time
Track your progressSign up free to work through all 32 questions and resume where you left off.
Start practicing free →
1
CodingStart here. 4 questions · ~46 min
Find Duplicates in a ListEasy
Practice

Return the duplicate values from a list in the order they first repeat, using a hash set.

deduplicationArraysAmerican Express
Nested JSON Parsing and ValidationHard
Practice

Recursively parse, clean, and validate nested JSON configuration data from an API response.

api integrationclean codejson parsingAmerican Express
More Coding questions with a free account
2
SQL & Data Manipulation11 questions · ~125 min
Data Quality Checks with PandasMedium
Practice

Write a query to flag missing values, invalid records, duplicates, and statistical outliers.

data cleaningdata anomalydata validationAmerican Express
Consecutive Numbers SQLMedium
Practice

Find numbers repeated across three consecutive dataset positions using a self-join.

Data Manipulationsqldatabase queryingAmerican Express
Query Execution Plans and BottlenecksHard
Practice

Analyze why a disputes review query is slow and identify the main PostgreSQL bottlenecks.

database optimizationlarge datasetsquery optimizationAmerican Express
More SQL & Data Manipulation questions with a free account

Sign up to see every question

Create a free account to unlock this list and practice real interview questions.

Get my prep plan
3
Pipelines10 questions · ~114 min
Partition Counts in PySparkHard

Determine how to choose input and output partitions for a PySpark repartition step to balance parallelism, shuffle cost, and file sizing.

pysparkdistributed computingETL optimizationAmerican Express
Java and React with Data EngineeringMedium

Explain how Java and React were used in a data pipeline, including ingestion, processing, and user-facing operational tooling.

javadata engineeringreactAmerican Express
More Pipelines questions with a free account
4
Behavioral & Leadership6 questions · ~68 min
More Behavioral & Leadership questions with a free account
5
More topics1 question · ~11 min
Memory and Exceptions for Large DatasetsMedium

Assesses your ability to build resilient, memory-safe Python data processing pipelines.

memory managementpythonAmerican Express
The finish line: interview-readyComplete all 32 questions to finish this plan.