Stripe, Inc. stands at the forefront of the digital payment revolution, offering cutting-edge solutions for online businesses. As a pioneer in the e-commerce realm, the company delivers a comprehensive set of tools designed for seamless transactions, recurring billing, and modern e-commerce challenges.
As the industry landscape continues to evolve, Stripe remains committed to constant innovation. They’re seeking tech talents to further their mission, from refining their core payment platform to developing advanced fraud detection systems and expanding payment options for a diverse global market.
In this guide, we’ll touch on Stripe’s interview process and highlight practice questions for topics frequently covered in the company’s interviews.
Stripe’s interview process is tailored to assess a candidate’s technical experience, problem-solving skills, and alignment with company values. This comprehensive process includes:
While a large organization, Stripe’s interview experiences are uniquely tailored to the role, team, and individual. While the process might vary across teams and roles, the core objective remains consistent: to identify candidates who resonate with Stripe’s ethos and vision.
Stripe uses a combination of MySQL and MongoDB in their production databases. Knowing how to query and efficiently interact with relational databases is vital to securing a role. Here are some of the SQL questions that you might encounter with Stripe.
Given a bank transactions table with columns for user_id
, transaction time (created_at
), and withdrawal value (transaction_value
), write a query to find all the user IDs, in ascending order, who made withdrawals with exactly a 10-second gap between them.
Note: Only consider withdrawals from the ATM, which are represented by a positive transaction_value
.
Given a table of bank transactions with columns id
, transaction_value
, and created_at
representing the date and time for each transaction, write a query to fetch the last transaction for each day.
The output should include the transaction id
, datetime (created_at
), and amount (transaction_value
), ordered by datetime.
Given a table of bank transactions with columns user_id
, transaction_value
(positive and negative values indicate a deposit and withdrawal, respectively), and created_at
(the date and time of each transaction), find the total three-day rolling average for deposits by day. The date in the output should be formatted as ‘%Y-%m-%d’.
For more help with SQL, try the SQL learning path and the full list of SQL questions and solutions in our interview questions database.
As a BaaS (Backend as a Service) company specializing in delivering payment solutions to other software platforms, Stripe needs algorithm experts to ensure secure and efficient processes in production code.
Given an array of strings arr
where each string follows the format: <letters><number>
(e.g., “a1”, “b32”, or “caba522”), create a function that sorts the list of strings first by alphabetical order, and then numerically in descending order.
Note: The letters will always be in lowercase and have a length of at least 1.
To solve this problem, consider how you can split the string into its letter and number components. Once separated, think about leveraging built-in sorting methods, possibly with a custom sorting function, to achieve the desired order.
Given an array of words
and a max_width
parameter, create a function justify
to format the text so that each line has exactly max_width
characters. When necessary, pad the lines with extra spaces to ensure that each line meets the max_width
requirement.
Distribute the extra spaces between words as evenly as possible. If the number of spaces on a line doesn’t divide evenly between words, the excess spaces should be placed on the right-hand side of the line.
To start, determine how many words can fit on a line without exceeding the max_width
. Once you’ve placed the words, calculate the number of spaces needed to reach the max_width
. How can you distribute these spaces evenly between the words?
Given a list of stop words
, create a function stopwords_stripped
that takes in a string and returns a new string that has been stripped of all the stop words. The new string should be entirely in lowercase.
To solve this problem, consider how you can check each word against the list of stop words.
To practice coding interview questions, check out the Python learning path or the full list of Algorithms questions in our database.
Case studies are an integral part of Stripe’s interview process and are often asked in one of the very last stages. Understanding how to interact with real-world processes outside of algorithmic, sandboxed solutions is essential for any data professional.
Let’s say you’re in charge of Square’s small business division.
The CEO wants to hire a customer success manager to help manage a new software product. Another executive thinks that instituting a free trial would work better instead.
What would be your recommendation for hiring a customer success manager versus using a free trial to get new or existing customers to use the product? Describe some of the trade-offs in this scenario.
You’re tasked with importing payment data into your company’s internal data warehouse. Your primary data source is Stripe, a popular payment processing platform. How would you build an ETL pipeline to get Stripe payment data into the database so analysts can build revenue dashboards and run analytics?
Start by outlining the structure of Stripe’s data and the available API endpoints. Stripe’s API can be used to extract the necessary payment data. What would the next steps be?
After figuring out your basic solution, let’s consider some more advanced cases. How would you handle data updates or modifications in Stripe? Can you design the pipeline to be fault-tolerant and scalable? Consider potential issues like API rate limits, data discrepancies, and data security during the transfer process. How would you monitor and maintain the pipeline to ensure continuous and accurate data flow?
Let’s say that you’re a data scientist working on the marketing team of a B2B SAAS business.
We’re nearing the end of the quarter and are missing revenue expectations by 10%. An executive wants the email marketing person to send out a huge email blast to your entire customer list, asking them to buy more products.
Is this a good idea? Why or why not? If not, describe some alternative solutions that may be more effective.
To practice for case studies, we recommend using the product metrics and data analytics learning paths.
Practice for the Stripe interview with these recently asked interview questions.
Most data science positions fall under different position titles depending on the actual role.
From the graph we can see that on average the Product Manager role pays the most with a $197,000 base salary while the Data Analyst role on average pays the least with a $103,306 base salary.