Snowflake Software Engineer Interview Guide

The gist

Snowflake is on the cutting edge of cloud and AI data solutions. Founded in 2012, the company is a household name in the cloud and data spaces and continues to grow, with 10K customers globally and over 5 billion queries a day. Snowflake is on a mission to mobilize the world’s data with their solutions, and they’re looking for the best software engineers to help them bring that mission to life.

Their culture emphasizes innovation and collaboration. When you’re interviewing with Snowflake, make sure you have a few examples on hand that demonstrate how you helped move product development forward and how you worked with others to do it. Then, get ready to walk the talk and code, code, code. The coding assessment is reportedly the hardest aspect of the interview process, so focus on preparing for data-driven technical scenarios.

Snowflake is known for their challenging coding and system design assessments. This is where most candidates fail out of the interview process. The questions seem simple at first glance, but Snowflake adds some data-specific twists that can easily trip you up if you’re not prepared. The rest of the interview process is pretty standard—but it’s thorough.

What does a Snowflake Software Engineer do?

Software engineers at Snowflake work together to help customers maximize their data insights and performance. They drive the company’s innovation through continuous improvement and collaboration. As a Snowflake SWE, you’ll optimize data warehousing, data engineering, data science, data lakes, and ML/AI in data.

Snowflake’s open roles for SWEs specialize in specific domains, focusing on efforts like database security, machine learning, big data, and cloud engineering. You’ll get to work with dynamic teams that share a goal of innovating for the future of data (especially using ML and generative AI).

The work you do as a Snowflake SWE will depend on which product you specialize in (and your level), but in general you’ll:

• Define roadmaps
• Design and develop features
• Contribute to open-source projects
• Collaborate with and support peers to continuously improve your team’s development processes and technical quality

Snowflake’s compensation for software engineers is competitive. Here are the first 5 levels (and their corresponding compensation packages) for Snowflake's engineers.

• Software Engineer I (IC1): $210K
• Software Engineer II (IC2): $329K
• Senior Software Engineer I (IC3): $474K
• Senior Software Engineer II (IC4): $659K
• Principal Software Engineer (IC5): $857K

Before you apply

• Snowflake wants software engineers who embody their values and “think outside the box,” so read up on their values.
• Check out some software engineering interview questions at Snowflake.
• Identify a couple of times in your career when you’ve thought big—beyond the scope of your project or role—and consider who helped you along the way.

Interview process

The engineering hiring process at Snowflake happens over three stages:

1. An initial screen with a recruiter or the hiring manager
2. A technical screen that focuses on a coding and/or system design assessment
3. A final round consisting of panel discussions with a handful of Snowflake team members

Typically, this process takes 2–4 weeks and requires at least one in-person interview at a Snowflake office.

1. Initial screen

The first round is a pretty standard initial call. You’ll speak with a recruiter or the hiring manager about your technical skills and what you’re looking for in an SWE role. Questions for this round might include:

• Tell me a little about yourself.
• Why are you interested in a role at Snowflake?

Topics to study for this round:

• Get familiar with Snowflake’s company values
• Check out all of Snowflake’s engineering teams so you’re better acquainted with the kinds of work software engineers do across the company

2. Technical screen

At Snowflake, the technical round is a 60-minute coding/system design assessment (it could be either or a little of both) that showcases your technical expertise and problem-solving abilities. This is said to be the toughest part of the interview process because Snowflake specifically wants to see how you handle big data and how you work with databases. The questions might look straightforward, but don’t be fooled: data processing should always be top of mind here.

You might take a HackerRank or CoderPad assessment consisting of questions like:

• Given an array of intervals and a new interval, adjust the array to fit the new interval.
• Write a class that processes a stream of input.
• Design a system like YouTube.

As you’re tackling these questions, talk through each part of your solution. Why did you make each choice in your solution, and what makes your approach best for the scenario? You want to be able to tell your interviewers how you approached the problem and how you solved it effectively and efficiently.

3. Final round

If you make it past the daunting technical interviews, you’ll round out the interview process with 3–5 60-minute panel interviews. Here, you’ll meet with a few Snowflake team members and discuss your fit in terms of technical, expertise, system design, behavioral, and collaboration.

Sample final-round interview questions

Technical

These questions are more high-level than the ones you tackled during your technical screen. For this portion of the final round, be ready for questions like:

• Can you tell me what an array is?
• Can you define OOP?
• What sorting algorithms do you know, and which one is best?

Topics to study for this round:

• Backtracking
• Computations and permutations
• Object programming

Expertise

The hiring team uses this round as a chance to see how your past experience lines up with what you might work on at Snowflake. They’ll ask about your past projects and see how you approach your work. You might be asked:

• Tell me about a recent program you worked on.
• What are the most important factors to consider when designing a scalable application?

System design

Aside from the technical screen, this is reported as the most important part of the Snowflake software engineering interview. The team is looking to see whether you know databases inside and out, so their questions are more data-driven compared to other cloud companies.

This is where data security and protection really come into play—your interviewers are looking to see how you’d design and support scalable, performant, and secure data solutions. Like the technical screen, you want to be as specific as possible here, offering details that show your thoughtfulness from ideation to execution.

Some candidates have had questions like:

• Design a data security and governance system.
• Design YouTube, then implement the cache layer.
• Given a string, check whether any character has been duplicated.

Topics to study for this round:

• Using data structures within a database
• Optimizing data for certain workloads
• Optimizing queries
• Data storage and data movement

Behavioral

The essence of Snowflake’s culture is customer-focused, ambitious, and innovative. They’re looking for software engineers who take full ownership of their work and outcomes, so be ready for some “tell me about a time…”-style behavioral questions like:

• Tell me about a time you made a mistake.
• Tell me a little about yourself.
• Tell me about a time when you took ownership over a project, and why.

Collaboration

Snowflake likes team players who don’t shy away from taking ownership of their own projects. They’ll ask questions that show how well you do both things—how you support teammates and how you own your outcomes. Expect questions like:

• Describe a time when you had to work effectively with another team that you had never worked with before.
• Tell me about a time when you wouldn’t have successfully completed a project without teamwork.

Additional resources

• Interview prep: Check out Exponent’s Software Engineering Interviews course for tips and tricks to get you started.
• Coding practice: The coding assessment is key to passing the Snowflake hiring process, so be sure to practice your coding skills with sample questions.
• Mock interviews: Try interviewing with an expert or with peers to hone your skills.
• Resume review: Before you apply to a software engineering role at Snowflake, make sure your resume is in tip-top shape.

FAQs about the software engineer interview at Snowflake

How should I prepare for a Snowflake Software Engineer interview?

Avoid the most common pitfall for software engineers interviewing at Snowflake, which is being underprepared for the technical and system design screens. Study up on all things databases, and make sure you know the ins and outs of data processing from the ground up—everything from designing a cloud data system (like a warehouse or a data lake, depending on the role) to optimizing queries.

How much do Snowflake Software Engineers make?

Here are seven individual contributor (IC) levels Snowflake uses to categorize their SWEs (IC1–IC7) and the corresponding salaries.

How long is the Snowflake Software Engineer interview process?

Typically, the entire process (from the initial call to the final decision) takes 2–4 weeks.