Digital Realty Data Engineer interview questions & guide 2026

The following questions are representative of the patterns identified in recent interviews. While specific technical queries may shift based on the current needs of the engineering team, you should prepare to demonstrate both your technical proficiency and your grasp of facility-level operations.

Operational & Technical Fundamentals

These questions test your foundational knowledge of the physical systems that underpin Digital Realty data centers and your ability to explain them clearly.

• What is a FCU (Fan Coil Unit) in your own words?
• How would you describe the relationship between HVAC systems and data center uptime?

Success at Digital Realty requires a balanced profile that combines technical engineering rigor with a service-oriented mindset. You should approach your preparation by focusing on the following core evaluation criteria.

Domain Expertise – You must demonstrate a functional understanding of data center infrastructure. Interviewers will assess your ability to bridge the gap between software data and physical hardware systems like chilled water systems, generators, and electrical distribution.

Problem-Solving & Collaboration – The interview process often includes group activities. You will be evaluated on your ability to contribute to a team-based plan of action, your communication style, and how you synthesize information during high-pressure, time-boxed tasks.

Reliability & Integrity – Digital Realty values candidates who are honest and dependable. When discussing your past experiences, focus on your accountability and your commitment to maintaining the high operational standards expected in a data center environment.

The interview process at Digital Realty is designed to evaluate both your individual technical competency and your ability to perform within a collaborative team. You can expect a multi-stage approach that shifts from initial assessments of your experience to more interactive, group-based problem-solving. The company values a transparent, welcoming environment, but you should be prepared for a rigorous examination of your technical knowledge regarding site-specific equipment.

The process often includes a mix of individual interviews—sometimes with multiple stakeholders simultaneously—and group exercises where your team-based problem-solving skills are observed in real-time. The pace is steady, and you should be prepared to follow up proactively to demonstrate your sustained interest in the role.

The timeline above reflects a structured approach to candidate assessment, moving from initial screens to technical deep-dives and group collaboration. Candidates should use this flow to manage their energy, ensuring they are prepared for both the technical "grilling" on equipment and the soft-skill requirements of group exercises.

Technical Infrastructure Knowledge

This is the most critical area for a Data Engineer at Digital Realty. You will be evaluated on your ability to understand the physical components that generate the data you oversee.

Be ready to go over:

• HVAC and Cooling – Understand the cycle of chilled water and air handling.
• Electrical Systems – Know the basics of UPS units and power distribution.

As a Data Engineer, your primary responsibility is to act as the custodian of the data that maintains the health of Digital Realty facilities. You will be responsible for building, maintaining, and refining data pipelines that ingest telemetry from site equipment. This involves close collaboration with facility engineers, operations teams, and cross-functional technology groups.

You will likely drive initiatives that improve data accuracy and reporting efficiency. Expect to spend significant time analyzing raw data from generators, plumbing, and electrical systems to support operational uptime. Your ability to communicate these findings to non-technical stakeholders or facility managers is just as important as the code you write.

A strong candidate for this role is one who balances technical depth with a pragmatic understanding of physical operations.

• Must-have skills: Proficiency in data engineering tools, a strong grasp of data modeling, and the ability to learn and apply knowledge of physical site equipment (HVAC, electrical, etc.).
• Experience level: A history of working in environments where data integrity directly impacts physical operations is highly valued.
• Soft skills: High levels of reliability, honesty, and the ability to remain calm and focused during complex, multi-person interview panels.

Q: How can I best prepare for the technical questions? A: Research the fundamental systems used in data centers. Look into how HVAC, UPS, and electrical systems function, as interviewers frequently ask for explanations of these systems to gauge your technical intuition.

Q: What is the culture like during the interview? A: The culture is described as professional, welcoming, and direct. While the interview can be long and rigorous, the atmosphere is generally one of open communication where interviewers want to see how you think and how you approach team challenges.

Q: How should I handle the group exercise? A: Focus on being a productive team player. Listen to others, contribute your ideas clearly, and ensure the team meets the deadline. The evaluators are watching how you contribute to the collective goal as much as your individual technical input.

Q: What is the typical timeline? A: The process can be thorough, involving multiple stages. Being proactive by following up with emails and staying engaged throughout the process is viewed positively by the hiring team.

• Be Proactive: Follow up on your applications and interview stages. The hiring team values candidates who show consistent interest and tenacity.
• Be Honest: If you do not know the answer to a technical question about a specific piece of equipment, admit it and describe how you would find the answer.
• Study the Mindset: Understand the "engineering mindset"—it is about reliability, uptime, and precision.
• Practice Group Scenarios: Find opportunities to practice presenting a plan of action under a strict time limit.

The Data Engineer position at Digital Realty is a high-stakes, rewarding opportunity to sit at the center of global infrastructure operations. By focusing your preparation on physical system fundamentals, demonstrating a collaborative team spirit, and maintaining an honest and reliable presence, you will position yourself as a strong candidate. Remember that your ability to bridge the gap between data and physical reality is your greatest asset.

You can explore additional interview insights, practice questions, and preparation resources on Dataford to sharpen your approach. With diligent preparation and a clear focus on the evaluation areas outlined in this guide, you will be well-equipped to navigate the interview process with confidence.

The compensation data provided offers an insight into the expected salary range and structure for this role, reflecting both regional variations and level of experience. Candidates should use this as a benchmark for their own salary research and expectations, keeping in mind that total compensation may include additional benefits and performance-based components.