Fidelity Investments Data Engineer interview typically runs 3 rounds: two phone interviews and a final HR interview. It usually takes a few weeks and is relatively straightforward and user-friendly.
$89K
Avg. Base Comp
$177K
Avg. Total Comp
3
Typical Rounds
2-4 weeks
Process Length
Our candidates report that Fidelity is far more interested in whether you can explain the basics cleanly than in whether you can impress them with edge-case complexity. In the data engineering conversations we’ve seen, the standout signal was a simple but telling prompt around relational databases in SQL. That points to a team that values conceptual clarity over cleverness: if you can describe how tables relate, why a query behaves a certain way, and what the data model is doing, you’re already speaking their language.
A recurring theme is how approachable the process feels. Multiple candidates described the team as supportive and the interviews as straightforward, which usually means the bar is less about pressure and more about consistency. We’ve also seen that the company wants answers that are structured and easy to follow, especially when the conversation turns behavioral. The insistence on STAR format suggests they care about disciplined communication and whether you can turn past work into a clear, credible story rather than a vague summary.
For Fidelity specifically, the non-obvious thing that can make or break you is not depth for its own sake, but whether your explanations feel reliable and grounded. That fits a financial-services environment where trust matters as much as technical skill. Candidates who do well here tend to sound calm, precise, and practical — the kind of person who can make complex systems understandable without overcomplicating them.
Synthetized from 1 candidates reports by our editorial team.
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Real interview reports from people who went through the Fidelity Investments process.
The interview process was pretty straightforward and honestly felt more user-friendly than I expected. I had two phone interviews first, and both were kept fairly simple and focused on fundamentals rather than anything overly advanced. One of the main technical questions I remember was being asked to explain relational databases in SQL, so it was less about tricky coding and more about showing that I understood the core concepts clearly. The team came across as approachable and supportive, which helped keep the pressure down.
After that, I moved on to a final interview with two HR officials. That round was completely behavioral, and they wanted every answer in STAR format. It was very structured, but not especially difficult if you’re used to talking through examples from past work. My recruiter was helpful throughout and kept the process smooth from start to finish. Overall, the experience felt relatively low-stress and clear in terms of expectations. If I were doing it again, I’d make sure I could explain basic SQL and database concepts cleanly, and I’d prepare a few solid STAR stories ahead of time for the final behavioral round.
Prep tip from this candidate
Be ready to explain relational database basics clearly in SQL terms, since that came up directly. Also prepare several polished STAR stories, because the final round was entirely behavioral and every answer had to follow that format.
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Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
Featured question at Fidelity Investments
Describing a data project and its challenges
| Question | |
|---|---|
| Fractional Shares | |
| Find the Index with Equal Left and Right Sum | |
| Portfolio Platform Architecture | |
| Common Prefix | |
| Slow SQL Query | |
| Client Solution Pushback | |
| 2nd Highest Salary | |
| Empty Neighborhoods | |
| Comments Histogram | |
| Employee Salaries | |
| Merge Sorted Lists | |
| Closest SAT Scores | |
| Top Three Salaries | |
| Subscription Overlap | |
| Experiment Validity | |
| Rolling Bank Transactions | |
| Find the Missing Number | |
| Cumulative Distribution | |
| Prime to N | |
| String Shift | |
| Last Transaction | |
| Find the First Non-Repeating Character in a String | |
| Alphabet Sum | |
| Paired Products | |
| Rectangle Overlap | |
| Monthly Customer Report | |
| Slacking Employees Salaries | |
| Over-Budget Projects | |
| Third Purchase |
Synthesized from candidate reports. Individual experiences may vary.
The first conversation is a technical phone screen focused on fundamentals rather than advanced coding. Candidates should be ready to explain core data engineering concepts clearly, including relational databases and basic SQL.
A second phone interview follows, again keeping the technical bar relatively straightforward. The discussion continues to emphasize foundational knowledge and clear communication of SQL and database concepts.
The last round is with two HR representatives and is entirely behavioral. Answers are expected in STAR format, with questions centered on past experiences, teamwork, and how candidates handle work situations.