
Clover Health’s data engineer interview runs 3 to 4 rounds over roughly three to four weeks. It starts with a recruiter screen, then a technical round, and culminates in a take-home assignment followed by a live code review session where two team members actively challenge your implementation choices. The process screens for practical fluency with healthcare data, specifically your ability to work with claims, member, and provider datasets using SQL and pipeline design.
The take-home assignment, which candidates report is submitted under a tight deadline, is reviewed in a subsequent live session rather than scored in isolation, making your ability to defend and explain your design decisions as important as the work itself.
The process opens with a 30-minute call with a recruiter who covers the role, the overall process structure, and Clover Health’s mission in healthcare data. This stage is primarily logistical, screening for baseline fit and setting expectations for the rounds ahead. Candidates report the recruiter is generally communicative at this stage, though responsiveness later in the process can drop significantly.
Based on candidate reports

After the recruiter screen, candidates receive a short coding challenge to complete, typically under 20 to 30 minutes with a tight time limit. Difficulty is consistently described as straightforward, with one candidate noting it is something “you should not worry about if you have coding experience.” For data engineering roles, this stage screens for baseline programming competence before the process moves into more technical territory.
Based on candidate reports

A live technical interview with one or two engineers follows the coding assessment, running approximately one hour. For engineering roles, candidates report this session includes live coding, a discussion of database design choices between SQL and NoSQL, and scenario-based questions around schema design and protocol selection such as REST versus RPC. This round evaluates how candidates reason through system and data architecture problems, not just whether they arrive at a correct answer.
Based on candidate reports

Candidates who pass the technical round receive a take-home assignment to be submitted within roughly one day, a deadline multiple candidates flagged as tight. The assignment tests the ability to work independently on a realistic data problem, and for data-adjacent roles at Clover Health, tasks have involved designing pipelines and working with provided datasets under practical constraints. One candidate described it as “quite hard to a fresh graduate,” while others found it reasonable given prior experience.
Based on candidate reports

The take-home submission feeds directly into a live code review session conducted by two team members, who actively challenge implementation choices rather than simply confirm correctness. Candidates report this session is where Clover Health distinguishes itself: the interviewers probe design decisions, ask how the candidate would handle requirement changes, and press on tradeoffs. One candidate wrote that after spending hours on the assignment, the review felt like “mounting a defense of my code,” underscoring that communication of reasoning is weighted as heavily as the quality of the work itself.
Based on candidate reports

The final stage is a set of one-hour interviews, combining technical depth with cultural and behavioral questions, often including a hiring manager conversation and a session with a broader peer panel. Candidates report the panel can include team members who have been at the company less than a year alongside senior engineers or leadership. This round evaluates alignment with Clover Health’s mission-driven culture alongside any remaining technical questions.
Based on candidate reports

Check your skills...
How prepared are you for working as a Data Engineer at Clover Health?
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Write a SQL query to select the 2nd highest salary in the engineering department. Note: If more than one person shares the highest salary, the query should select the next highest salary. Example: Input:
Output:
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SQL | Medium | |||||||||||||||||||||||
SQL | Medium | |||||||||||||||||||||||
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