Indigo Data Engineer Interview Questions + Guide in 2024

Indigo Data Engineer Interview Questions + Guide in 2024

Overview

Indigo, an innovative company launched by Rubicon Founders and backed by Oak HC/FT, aims to transform the medical professional liability (MPL) insurance market through technology. By employing AI-driven underwriting processes and modern technology, Indigo strives to streamline insurance processes and deliver superior coverage products to healthcare providers, thereby enabling them to allocate more resources directly to patient and staff care.

As a Data Engineer, you will have the opportunity to work collaboratively with various teams across the organization to define top-tier data and technology solutions. You will need a strong understanding of customer challenges, solid technical skills, and the ability to promote technology excellence throughout the organization. In this role, you will closely collaborate with multiple technology teams to design and architect our data offerings effectively.

If you’re passionate about utilizing data to foster innovation, this guide from Interview Query will walk you through everything you need to know for a successful interview, putting a special highlight on commonly asked Indigo data engineer interview questions. Join Indigo to make a meaningful impact in healthcare through innovative solutions.

What is the Interview Process Like for a Data Engineer Role at Indigo?

The interview process usually depends on the role and seniority; however, you can expect the following on a Indigo data engineer interview:

Recruiter/Hiring Manager Call Screening

If your CV happens to be among the shortlisted few, a recruiter from the Indigo 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 Indigo data engineer 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.

Technical Virtual Interview

Successfully navigating the recruiter round will present you with an invitation for the technical screening round. Technical screening for the Indigo data engineer role usually is conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around Indigo’s data systems, ETL pipelines, and SQL queries.

In the case of data engineer roles, take-home assignments regarding data model architecture, ETL processes, and data governance may be incorporated. Apart from these, your proficiency in cloud services such as AWS, Snowflake, and Python or JavaScript may also be assessed during the round.

Depending on the seniority of the position, case studies and similar real-scenario problems may also be assigned.

Onsite Interview Rounds

Followed by a second recruiter call outlining the next stage, you’ll be invited to attend the onsite interview loop. Multiple interview rounds will be conducted during your day at the Indigo office. Your technical prowess, including programming, data modeling, and system design capabilities, will be evaluated against the finalized candidates throughout these interviews.

If you were assigned take-home exercises, a presentation round may also await you during the onsite interview for the data engineer role at Indigo.

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What Questions Are Asked in an Indigo Data Engineer Interview?

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

1. How would you analyze noisy and volatile asset price data to ensure accuracy?

You are working at a global trading company analyzing the price of a particular asset over time. The dataset is noisy, volatile, and not guaranteed to be completely accurate. How would you analyze this data to ensure there aren’t any discrepancies?

2. How would you set up an A/B test for multiple changes in a sign-up funnel?

A team wants to A/B test various changes in a sign-up funnel. For instance, on a page, a button is red and at the top. They want to see if changing the button’s color to blue and/or moving it to the bottom will increase click-through rates. How would you set up this test?

3. How would you verify that an Instagram user is a high school student attending the school represented by their sticker?

Instagram is releasing a new feature for high schoolers that allows users to identify their school and receive an associated sticker for their profile. How would you verify that a user is a high school student attending the school represented by their sticker?

4. Create a function digit_accumulator to sum every digit in a floating-point number string.

You are given a string that represents some floating-point number. Write a function, digit_accumulator, that returns the sum of every digit in the string.

Example:

Input:

s = "123.0045"

Output:

def digit_accumulator(s) -> 15

Since 
1 + 2 + 3 + 0 + 0 + 4 + 5 = 15

5. What is the probability that a red marble was pulled from Bucket #1?

You have two buckets with different distributions of red and black marbles. Your friend pulls a red marble from one of the buckets. Calculate the probability that it was pulled from Bucket #1.

6. What are time series models, and why are they needed over simpler regression models?

Explain what time series models are and discuss why they are necessary when simpler regression models are available.

7. How would you determine if the difference between this month and the previous month is significant?

You have a time series dataset grouped monthly for the past five years. Describe how you would find out if the difference between this month and the previous month is statistically significant.

How to Prepare for a Data Engineer Interview at Indigo

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 Indigo interview include:

  1. Understand Healthcare Data Systems: Indigo leverages data to transform medical professional liability insurance. Familiarize yourself with healthcare data systems and how they can be optimized.

  2. Be Technically Versatile: Indigo’s data engineer interviews assess your ability to handle various tech stacks (Python, SQL, AWS, etc.). Brush up on your knowledge of these tools, as well as data pipeline and ETL design.

  3. Embody the Mission: Indigo values innovation in healthcare. Practice responding to behavioral questions with answers that touch on your interest in transforming the healthcare industry through data engineering.

FAQs

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

According to Glassdoor, data engineers at Indigo earn between $118K to $170K per year, with an average of $141K per year.

What are the key responsibilities for this role?

Key responsibilities include:

  • Designing and building data pipelines and ETL processes.
  • Ensuring data security and governance.
  • Collaborating with various teams to understand and translate business requirements.
  • Staying updated with emerging trends in data engineering.

What qualifications and skills are required?

The company requires:

  • At least 5 years of data engineering experience.
  • Expertise in SQL and Python or JavaScript (Node.js).
  • Experience with AWS services and data platforms like Snowflake.
  • A strong understanding of data design principles and excellent problem-solving skills.

What is the work culture like at Indigo?

Indigo operates as a remote distributed team, gathering intentionally for relationship-building. We value autonomous, self-starters who thrive working from home and are driven by a mission to make a meaningful impact on healthcare providers and patients.

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The Bottom Line

At Indigo, your contributions will help healthcare providers reallocate resources to invest directly in patient and staff care, embodying Rubicon Founders’ mission of creating enduring value.

If you’re ready to take your expertise to a place where innovation and meaningful work converge, consider joining Indigo. For more insights into Indigo and to better prepare for the interview process, check out our main Indigo Interview Guide. We’ve covered many potential interview questions and guided other roles, such as software engineer and data analyst, to comprehensively understand Indigo’s interview ethos.

You can also explore all our company interview guides for better preparation. If you have any questions, don’t hesitate to reach out to us.

Good luck with your interview!