Success at Everly Health requires a blend of deep technical proficiency and the ability to articulate your thought process clearly. You should prepare to move beyond simple definitions and explain the why behind your technical decisions.

Role-related Knowledge – You must demonstrate a strong grasp of database administration and data engineering principles. Interviewers will look for your ability to manage complex data environments and your familiarity with the tools that maintain system performance and security.

Problem-Solving Ability – You will be presented with scenarios that lack a single "correct" answer. Focus on demonstrating a structured approach: define the problem, identify constraints, propose a solution, and explain how you would monitor its effectiveness.

Culture Fit and Values – Everly Health values agility and mission-driven work. Show that you are comfortable working in an unstructured environment where individual initiative is encouraged and cross-team communication is essential for success.

The interview process at Everly Health is designed to be personal and conversational, focusing on getting to know you as a professional rather than just a list of skills. You can expect a series of 1-1 interviews with various team members, potentially including leadership roles like a Senior Director or Head of Technology. While the process may feel less structured than at larger, more bureaucratic organizations, this is an opportunity for you to demonstrate your ability to navigate ambiguity and build relationships.

The visual timeline above illustrates the progression from initial recruiter outreach through multiple 1-1 interview rounds. Use this structure to manage your preparation, ensuring you have clear, concise stories ready for behavioral rounds and deep-dive technical examples for your conversations with leadership.

Database Administration and Architecture

This is a core component of the role. You will be evaluated on your ability to maintain, optimize, and secure database systems. Strong candidates demonstrate a proactive approach to monitoring and performance tuning.

Be ready to go over:

• Database scaling strategies and performance optimization.
• Backup, recovery, and disaster mitigation plans.
• Security best practices for sensitive health data.

Example questions or scenarios:

• "How do you approach index optimization in a high-traffic database?"
• "Describe your process for identifying and resolving a bottleneck in a query chain."

Data Engineering and Pipeline Development

Even within a role that emphasizes DBA responsibilities, your experience in building and maintaining data pipelines is critical. You will be expected to discuss how you support the data lifecycle from ingestion to consumption.

Be ready to go over:

• ETL/ELT pipeline design and maintenance.
• Modern data stack tools and integration strategies.
• Handling data quality and validation at scale.

Example questions or scenarios:

• "How do you handle schema evolution in a production data pipeline?"
• "What strategies do you use to ensure data consistency across multiple sources?"

As a DBA/Data Engineer, you are the custodian of the data that fuels Everly Health. Your primary responsibility is to ensure that our databases are performant, secure, and reliable. You will work closely with software engineers to optimize queries and support the development of new features, ensuring that the underlying data architecture can support the company's growth.

Beyond day-to-day maintenance, you will be involved in strategic projects that aim to modernize our infrastructure. This includes collaborating with product teams to design schemas that are "AI-first," meaning they are optimized for the high-velocity, high-volume data requirements of modern machine learning models. You are a key partner in the product development lifecycle, ensuring that data is not just stored, but accessible and actionable.

A strong candidate for this position brings a solid foundation in traditional database administration paired with a forward-looking approach to data engineering.

• Must-have skills: Extensive experience with database management systems, strong SQL proficiency, and a proven track record of managing production environments in a cloud-native setting.
• Nice-to-have skills: Experience with AI/ML data requirements, familiarity with modern data orchestration tools, and a background in healthcare or highly regulated industries.

Q: How long does the interview process typically take? The timeline varies, but candidates generally experience a relatively swift progression through the 1-1 rounds once the initial screen is complete.

Q: What is the primary focus of the technical interviews? Expect a focus on scenario-based questions—"what would you do if..."—rather than rote memorization or coding challenges.

Q: Is this role purely DBA work? While the role has a heavy DBA component, there is significant opportunity to contribute to broader data engineering projects, especially those supporting AI initiatives.

Q: What is the culture like at Everly Health? The culture is fast-paced and mission-driven, with a strong emphasis on collaboration and individual ownership.

• Own your narrative: Because the process is less structured, take the initiative to lead the conversation toward your strongest areas of expertise.
• Focus on the "Why": When discussing past projects, clearly explain the business problem you were solving and why you chose your specific technical approach.
• Prepare for ambiguity: Be ready to ask clarifying questions during your technical scenarios; demonstrating how you gather requirements is a key part of the assessment.

The Data Engineer position at Everly Health is a unique chance to work at the intersection of healthcare technology and data infrastructure. By focusing your preparation on both your core database administration skills and your ability to solve complex, real-world scenarios, you will be well-positioned to succeed.

Remember that your interviewers are looking for a partner who can help shape the future of our data strategy. Stay confident, communicate your technical decisions clearly, and focus on the impact you can bring to the team. For additional insights and preparation resources, continue to utilize the support tools available on Dataford. You have the expertise needed to excel—now, go make a great impression.

The salary range provided reflects the competitive nature of this role within the Austin, TX market. Candidates should view this range as a baseline, with final offers often determined by the depth of your relevant experience and your ability to demonstrate immediate impact.