Interview Guides
Everything we know about interviewing at MetLife: the process stage by stage, what each round tests, compensation by level, and reports from candidates who interviewed.
What the process looks like, and what MetLife is really testing for.
MetLife’s interview loop is structured around fit and communication early, then adds technical checkpoints depending on the role. Across reported steps, you may see a recruiter screen, sometimes an online assessment, then a sequence of behavioral and technical interviews that explicitly test how clearly you explain your reasoning.
The topics that show up most frequently in question data are Python and Kubernetes at the high end (both at 83 percentile), plus Excel and project management at the top end (both at 100 percentile). Communication clarity (79), behavioral interviewing (73), stakeholder management (62 and 56), requirements gathering (55), and problem solving (65) also appear prominently, and Data Engineering and Data Engineering-aligned topics are listed as 100 percentile.
What you should expect in the candidate reports is a process that can be fast and conversation-driven, but not uniform across everyone. The reports collectively describe timelines of about two weeks in multiple cases, four rounds in others, and a few “short and decided quickly” experiences, while sentiment trends positive. The reported offer rate in the aggregated data is 0.0%, so do not treat any early signal as a guarantee.
The question data and the reports both point to communication and collaboration as first-class evaluation criteria, not just a warm-up. You can be asked behavioral questions and stakeholder or project management questions that effectively determine how your technical answers are received.
6 stages, based on 500 candidate reports.
You start with a recruiter or talent manager discussing your background, skill alignment, and logistics, sometimes via an asynchronous online assessment. Prepare a clear summary of your experience and your fit for the specific role you applied to.
This is another recruiter conversation focused on aligning your background to the role requirements. Some reports also mention checking salary expectations in this early conversational stage.
If you are asked to take it, you complete an online aptitude or technical assessment, often HackerRank-style, focused on fundamental data structures and algorithmic problem-solving. Use prior preparation on easy to medium algorithmic patterns if you have the option to practice.
You may get a domain or tool-specific technical interview, sometimes tied to real-world data science problems and past projects. Depending on the role, be prepared to cover Python and Kubernetes topics and to discuss how you apply skills in practice.
You will likely complete behavioral interviews with engineering managers or team members, focused on collaboration, career trajectory, and your past experiences. Some roles also include deep-dive discussions with hiring managers, peer teams, or senior leadership, emphasizing stakeholder management, project management, and strategic thinking.
Some candidates reach a final interview stage that can include leadership, system design, or cross-functional collaboration, and a final panel or role-play scenario. The process then ends with a final decision communicated to you.
How often each skill shows up across reported interview loops.
Each guide has the questions MetLife interviewers actually ask, the loop structure, and total compensation by level.
Estimated total compensation: base salary plus stock and annual cash bonus.
Patterns from candidates who got offers, and the mistakes that most often sink a loop.
Read what candidates said about interviewing at MetLife: the loop, difficulty, and outcomes, straight from recent reports for each role.
Answered from real candidate and workplace data, marked up for rich results.
Verbatim snippets pulled from employee and candidate reviews.
Candidates should be ready for the demands of peak seasons while enjoying the benefits of a supportive work environment.
Overall, MetLife provides an excellent work-life balance, especially during off-peak times.
MetLife offers a strong work-life balance and competitive salaries, making it an attractive place to work.
Be prepared for a busy peak season from September to March.
Embrace the positive work culture while advocating for updated management practices.
MetLife offers a cool work environment, but it needs to modernize its management processes.
Companies that hire for the same data roles, with the same depth of prep.
