Hims & Hers Data Engineer Interview Questions + Guide in 2025

Hims & Hers is a leading health and wellness platform dedicated to revolutionizing telehealth and making personalized health solutions accessible to consumers.

As a Data Engineer at Hims & Hers, you will play a critical role within the Data Platform Engineering team, responsible for building and maintaining the data infrastructure that supports various business functions including product management, analytics, and machine learning. Your key responsibilities will include designing and implementing scalable data processing solutions, collaborating with cross-functional teams to align on architecture and data needs, and ensuring data governance and compliance. You will utilize technologies such as Python, SQL, and various data integration tools to optimize performance and reliability, all while fostering a culture of technical excellence within your team.

A successful candidate will possess strong analytical and problem-solving skills, with extensive experience in data architecture and engineering practices. You should be adept at communicating complex technical concepts to both technical and non-technical stakeholders and have a proven track record of leading data-driven initiatives that align with organizational goals. Your expertise will contribute to creating innovative solutions that empower teams to leverage data for decision-making and enhance the overall customer experience.

This guide will help you prepare effectively for your interview by providing a clear understanding of the role, the skills necessary to excel, and insights into the company’s values and expectations.

The interview process for a Data Engineer at Hims & Hers is structured to assess both technical and interpersonal skills, ensuring candidates are well-rounded and fit for the collaborative environment. The process typically unfolds in several stages:

1. Initial Recruiter Call

The first step is a 30-45 minute phone call with a recruiter. This conversation serves as an introduction to the role and the company, where the recruiter will discuss the job specifics, company culture, and compensation details. They will also evaluate your background, experience, and motivation for applying to Hims & Hers.

2. Technical Screen

Following the recruiter call, candidates undergo a technical screening, which lasts about 45 minutes. This session may include a mix of questions about your past experiences and a technical problem-solving exercise. Candidates should be prepared to discuss how they would approach redesigning workflows or implementing new features, demonstrating their thought process and technical acumen without necessarily writing code during this round.

3. Interview Loop

The next phase consists of an interview loop, typically involving two technical interviews and two behavioral interviews, each lasting around 30-45 minutes. The technical interviews will focus on coding challenges, data structures, and algorithms, often conducted via a coding platform like CoderPad. Candidates may encounter medium-level coding questions and should be ready to explain their solutions and thought processes clearly. The behavioral interviews will assess cultural fit and interpersonal skills through scenario-based questions, allowing candidates to showcase their problem-solving abilities and teamwork experiences.

4. Final Interview

In some cases, a final interview may be conducted with a hiring manager or senior team members. This round often includes discussions about the candidate's product background, experiences, and a case study related to metrics or data-driven decision-making. Candidates should be prepared to articulate their approach to data challenges and how they align with the company's goals.

As you prepare for your interviews, consider the types of questions that may arise in each of these stages, particularly those that focus on your technical skills and collaborative experiences.

In this section, we’ll review the various interview questions that might be asked during a Data Engineer interview at Hims & Hers. The interview process will likely focus on your technical expertise in data architecture, data processing, and your ability to collaborate with cross-functional teams. Be prepared to discuss your past experiences, problem-solving approaches, and how you can contribute to the company's mission of providing accessible health solutions.

Technical Skills

1. Can you describe your experience with designing and implementing data pipelines?

This question aims to assess your hands-on experience and understanding of data pipeline architecture.

How to Answer

Discuss specific projects where you designed and implemented data pipelines, focusing on the technologies used and the challenges faced.

Example

“In my previous role, I designed a data pipeline using Apache Airflow and Python to automate the ETL process for our customer data. This pipeline improved data processing time by 30% and allowed for real-time analytics, which was crucial for our marketing team.”

2. How do you ensure data quality and integrity in your data processing workflows?

This question evaluates your approach to maintaining high data quality standards.

How to Answer

Explain the methods and tools you use to validate data, monitor data quality, and handle discrepancies.

Example

“I implement data validation checks at various stages of the ETL process, using tools like Great Expectations. Additionally, I set up monitoring alerts to catch any anomalies in data quality, ensuring that any issues are addressed promptly.”

3. Describe a complex data architecture you have designed. What were the key components?

This question assesses your architectural design skills and understanding of data systems.

How to Answer

Detail the architecture, including data sources, storage solutions, and processing frameworks, and explain the rationale behind your design choices.

Example

“I designed a data lake architecture using AWS S3 for storage, with AWS Glue for ETL processes and Redshift for analytics. This architecture allowed us to handle both structured and unstructured data efficiently, supporting various analytics use cases.”

4. What experience do you have with cloud technologies, specifically AWS or GCP?

This question gauges your familiarity with cloud platforms and their services.

How to Answer

Discuss specific services you have used and how they contributed to your data engineering projects.

Example

“I have extensive experience with AWS, particularly with services like Lambda for serverless computing and Redshift for data warehousing. I utilized these services to build scalable data solutions that reduced operational costs by 20%.”

5. Can you explain how you would approach a data migration project?

This question tests your project management and technical skills in handling data migrations.

How to Answer

Outline the steps you would take, including planning, execution, and validation phases.

Example

“I would start by assessing the current data architecture and identifying the target system. Then, I would create a detailed migration plan, including data mapping and transformation rules. After executing the migration, I would validate the data integrity and performance in the new system.”

Collaboration and Problem-Solving

1. Describe a time when you had to collaborate with cross-functional teams. How did you ensure alignment?

This question evaluates your teamwork and communication skills.

How to Answer

Share an example that highlights your ability to work with different stakeholders and how you facilitated communication.

Example

“I worked closely with product managers and data scientists to develop a new analytics feature. I organized regular meetings to gather requirements and provide updates, ensuring everyone was aligned on the project goals and timelines.”

2. How do you handle conflicting priorities from different stakeholders?

This question assesses your conflict resolution and prioritization skills.

How to Answer

Discuss your approach to understanding stakeholder needs and finding a balance.

Example

“When faced with conflicting priorities, I first meet with each stakeholder to understand their needs. I then evaluate the impact of each request and propose a prioritization plan that aligns with our overall business objectives, ensuring transparency throughout the process.”

3. Can you give an example of a challenging technical problem you solved?

This question tests your problem-solving abilities and technical expertise.

How to Answer

Describe the problem, your approach to solving it, and the outcome.

Example

“I encountered a performance issue with our data processing pipeline that was causing delays. I analyzed the bottlenecks and optimized the SQL queries, which improved processing speed by 50%, allowing us to meet our SLAs.”

4. How do you stay updated with the latest trends and technologies in data engineering?

This question gauges your commitment to continuous learning and professional development.

How to Answer

Mention specific resources, communities, or courses you engage with to stay informed.

Example

“I regularly follow industry blogs, participate in webinars, and am an active member of data engineering forums. I also take online courses to learn about new tools and technologies, ensuring I stay current in this rapidly evolving field.”

5. What strategies do you use to document your data processes and architectures?

This question assesses your approach to documentation and knowledge sharing.

How to Answer

Explain the tools and methods you use for documentation and why it’s important.

Example

“I use Confluence for documenting data processes and architecture diagrams. I ensure that all documentation is clear and accessible, as it helps onboard new team members and serves as a reference for ongoing projects.”