
Cisco Data Engineer interview typically runs 2 rounds: screening, technical with hiring manager. It usually takes about a month and is heavily resume-based, with behavioral questions sometimes in the technical round.
$102K
Avg. Base Comp
$222K
Avg. Total Comp
2
Typical Rounds
2-4 weeks
Process Length
We've seen Cisco put a lot of weight on whether candidates can explain why Cisco, why this role, and why now without sounding rehearsed. Multiple candidates reported being asked about their journey, what matters to them in a company, and their notable achievements before any technical depth came up. That tells us the company is screening for people who can connect their background to Cisco’s environment, not just list skills. In practice, the strongest candidates sound specific about the kind of work they want to do and the problems they want to own.
A recurring theme is that the technical conversation is highly resume-driven. Our candidates report being pushed to walk through ETL pipelines, cloud data warehouse experience, and the reasoning behind tool choices. The non-obvious part is that Cisco doesn’t seem satisfied with “I used X because it was standard”; they want to hear defensible tradeoffs and a clear understanding of how the pipeline actually behaved in production. Even more interesting, several candidates were surprised by behavioral questions inside the technical round, which suggests the hiring team is evaluating communication and judgment at the same time as technical depth.
We also see a split in technical flavor depending on the team: some interviews stay close to data engineering fundamentals, while others can drift into Cisco-specific infrastructure knowledge like Nexus, ACI, and troubleshooting concepts. That means the safest preparation is not generic breadth, but a crisp command of your own projects plus enough networking context to speak confidently if the conversation shifts. Candidates who can stay grounded in their own work and explain the why behind each decision tend to come across as much stronger here.
Synthetized from 4 candidates reports by our editorial team.
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Featured question at Cisco
Select the 2nd highest salary in the engineering department
| Question | |
|---|---|
| Hurdles In Data Projects | |
| Sort Strings | |
| Get Top N Frequent Words | |
| Data Preparation for Imbalanced Data | |
| String Palindromes | |
| Cloud-Agnostic Deployments | |
| Why Do You Want to Work With Us | |
| Relational Migration | |
| Your Strengths and Weaknesses | |
| Data Cleaning Experiences | |
| Backpropagation Explanation | |
| Prime to N | |
| Merge Sorted Lists | |
| The Brackets Problem | |
| Size of Joins | |
| Append Frequency | |
| Random Forest Explanation | |
| Target Indices | |
| Swap Variables | |
| Cyclic Detection | |
| Binary Tree Validation | |
| Swapping Nodes | |
| Support Vector Machines vs Deep Learning Models | |
| Merge N Sorted Lists | |
| Impossibly Iterative Fibonacci | |
| Check Matching Parentheses | |
| Last Element of a Singly Linked List | |
| Xgboost vs Random Forest | |
| Linear vs Logistic Regression |
Synthesized from candidate reports. Individual experiences may vary.
The first step is a short screening call to confirm that your background matches the role. Expect questions about your journey, why you want to join Cisco, what matters to you in a company, your strengths and weaknesses, and a few notable achievements.
The second round is a resume-driven technical interview with the hiring manager. You should be ready to walk through your previous experience in detail, especially ETL pipelines, cloud data warehouse work, and the reasoning behind your technology choices. Behavioral questions can also come up in this round.
Close preparation with examples that show ownership, communication, and how you work with cross-functional partners or technical peers. The candidate evidence clusters several related steps together, so this stage separates the preparation focus while staying within the reported screening and interview themes. Where the source evidence blended final steps together, this stage captures the final evaluation themes without adding unsupported company-specific claims.