Docusign Data Engineer Interview Questions + Guide in 2024

DocuSign helps organizations connect and automate how they agree. Their flagship product, eSignature, is the world’s #1 way to sign electronically on any device, from virtually anywhere, at any time. Over a million customers and a billion users in over 180 countries use DocuSign to accelerate the process of doing business and simplify people’s lives.

Thinking of joining DocuSign as a Data Engineer? This guide will walk you through the interview process, common DocuSign data engineer interview questions, and provide valuable preparation tips.

The interview process usually depends on the role and seniority, however, you can expect the following on a DocuSign Data Engineer interview:

Recruiter/Hiring Manager Call Screening

If your CV happens to be among the shortlisted few, a recruiter from the Docusign Talent Acquisition Team will make contact and verify key details like your experiences and skill level. Behavioral questions may also be a part of the screening process.

In some cases, the Docusign Data Engineering hiring manager stays present during the screening round to answer your queries about the role and the company itself. They may also indulge in surface-level technical and behavioral discussions.

The whole recruiter call should take about 30 minutes.

Coding Exam

The first step of the process may involve completing a coding exam on a platform like HackerRank, where you will have to solve a set of technical problems in a limited time. This is a fairly challenging step, designed to assess your coding skills and problem-solving ability.

Technical Interview with Hiring Manager

The next step involves an interview with the hiring manager. This session will focus on technical topics, especially around dimensional data modeling and data engineering concepts. You should expect in-depth discussions on your past projects and specific technical challenges you’ve faced.

Final Onsite Interview Rounds

If you’ve successfully navigated the previous rounds, a second recruiter call will outline the next steps, which involve attending the onsite interview round. This stage consists of multiple interviews covering various aspects of the Data Engineering role:

• Data Model and Data Pipeline: This round will evaluate your ability to design, develop and maintain scalable and efficient data pipelines.
• General Data Engineering Experience: Here you’ll discuss your general experiences and how you’ve applied data engineering principles in your previous roles.
• SQL Proficiency: This round tests your ability to perform SQL queries efficiently and accurately.

After completing these rounds, successful candidates usually receive an offer the next day.

Typically, interviews at DocuSign vary by role and team, but commonly Data Engineer interviews follow a fairly standardized process across these question topics.

1. Would you think there was anything fishy about the results of an A/B test with 20 variants?

Your manager ran an A/B test with 20 different variants and found one significant result. Would you suspect any issues with the results?

2. How would you set up an A/B test to optimize button color and position for higher click-through rates?

A team wants to A/B test changes in a sign-up funnel, such as changing a button from red to blue and/or moving it from the top to the bottom of the page. How would you design this test?

3. What would you do if friend requests on Facebook are down 10%?

A product manager at Facebook reports a 10% decrease in friend requests. What steps would you take to address this issue?

4. Why might the number of job applicants be decreasing while job postings remain constant?

You observe that the number of job postings per day has remained stable, but the number of applicants has been steadily decreasing. What could be causing this trend?

5. What are the drawbacks of the given student test score datasets, and how would you reformat them for better analysis?

You have data on student test scores in two different layouts. What are the drawbacks of these formats, and what changes would you make to improve their usefulness for analysis? Additionally, describe common problems in “messy” datasets.

6. Write a SQL query to select the 2nd highest salary in the engineering department.

Write a SQL query to select the 2nd highest salary in the engineering department. If more than one person shares the highest salary, the query should select the next highest salary.

7. Write a function to merge two sorted lists into one sorted list.

Given two sorted lists, write a function to merge them into one sorted list. Bonus: What’s the time complexity?

8. Create a function missing_number to find the missing number in an array.

You have an array of integers, nums of length n spanning 0 to n with one missing. Write a function missing_number that returns the missing number in the array. Complexity of (O(n)) required.

9. Develop a function precision_recall to calculate precision and recall metrics from a 2-D matrix.

Given a 2-D matrix P of predicted values and actual values, write a function precision_recall to calculate precision and recall metrics. Return the ordered pair (precision, recall).

10. Write a function to search for a target value in a rotated sorted array.

Suppose an array sorted in ascending order is rotated at some pivot unknown to you beforehand. You are given a target value to search. If the value is in the array, then return its index; otherwise, return -1. Bonus: Your algorithm’s runtime complexity should be in the order of (O(\log n)).

11. How do we handle missing square footage data to predict housing prices in Seattle?

You have scraped 100K sold listings over the past three years, but 20% of the listings are missing square footage data. How would you address this missing data to construct an accurate model for predicting housing prices?

12. Is this a fair coin given it comes up tails 8 times out of 10 flips?

You flip a coin 10 times, and it comes up tails 8 times and heads twice. Determine if the coin is fair based on this outcome.

13. How do you write a function to calculate sample variance for a list of integers?

Write a function that outputs the sample variance given a list of integers. Round the result to 2 decimal places.

14. Would you trust the results of an A/B test with 20 variants if one is significant?

Your manager runs an A/B test with 20 different variants and finds one significant result. Evaluate if there is anything suspicious about these results.

15. How do you find the median of a list where more than 50% of the elements are the same?

Given a list of sorted integers where more than 50% of the list is the same repeating integer, write a function to return the median value in (O(1)) computational time and space.

16. What are the drawbacks and formatting changes needed for messy student test score data?

Assume you have data on student test scores in a messy format. Identify the drawbacks of the current organization, suggest formatting changes for better analysis, and describe common problems in messy datasets.

You should plan to brush up on any technical skills and try as many practice interview questions and mock interviews as possible. A few tips for acing your DocuSign data engineer interview include:

• Understand Docusign Products: Make sure you are familiar with Docusign’s suite of products and services. This can help you relate your technical skills to real-world applications at Docusign.
• Be Data-Driven: Docusign’s data engineering roles assess your ability to deliver business-critical insights using data. Strengthen your grasp on statistics and probability, given these questions can be some of the hardest to solve.
• Collaboration and Communication: Docusign values teamwork and clear communication. Practice how you’ll discuss your past projects in a way that highlights both your technical skills and your ability to collaborate effectively with others.

What is the average salary for a Data Engineer at Docusign?

What technologies will I be working with as a Data Engineer at DocuSign?

You’ll work with a variety of innovative technologies including AWS, Snowflake, dbt, Airflow, and Matillion. The role involves designing and developing scalable data pipelines and maintaining data quality procedures.

Can you describe the company culture at DocuSign?

DocuSign is committed to building trust and ensuring an equal opportunity environment for every team member. The company values collaboration, continuous learning, and making a positive impact—both in the business world and in your personal growth.

The application and interview process for a Data Engineer role at DocuSign, though challenging, is designed to ensure that candidates are well-rounded, technically skilled, and ready to contribute to cutting-edge projects using state-of-the-art technology like Snowflake, AWS, Airflow, and more. DocuSign values its employees and offers a dynamic and supportive work environment, as well as competitive compensation and comprehensive benefits.

For more insights about the company, check out our main DocuSign Interview Guide, where we have covered many interview questions that could be asked. We’ve also created interview guides for other roles, such as software engineer and data analyst, where you can learn more about DocuSign’s interview process for different positions.

Good luck with your interview!