Real, anonymous reports from people who interviewed for Data Engineer at Altimetrik, newest first and distilled into what to expect across the loop.
I started with an HR recruiter screen where we talked through my background, the projects I’d worked on, and the usual details like tech stack, availability, and expectations. A little while later I moved into technical rounds. The first one leaned heavily on SQL and fundamentals, with questions around joins, window functions, aggregations, and data-cleaning style tasks like removing duplicates and pulling specific rankings from a table. It also dipped into Python and PySpark basics, so I had to explain my approach while working through the logic.
The way this interview dragged on was what I noticed most. I went through several rounds—technical discussions plus a hiring-manager conversation—and it took weeks, not days. The difficulty stayed in the average-to-moderate range technically, but the bigger problem was the sheer number of steps. After I’d accepted an offer, they still mentioned additional client rounds as if the evaluation wasn’t really complete.
The interview process typically begins with an HR recruiter screen that focuses on the candidate's background, projects, and expectations. This stage serves as an information-gathering session before moving into technical rounds.
Candidates can expect multiple technical interviews that cover SQL, Python, and data engineering concepts, often escalating in difficulty. These rounds may include practical coding tasks and discussions about ETL/ELT processes and data pipeline design.
Many candidates noted a lack of variety in questions across different interviewers, leading to a feeling of redundancy and checklist-like evaluation. This repetition can detract from the overall assessment experience.
Interviews often include behavioral discussions focusing on project challenges, stakeholder interactions, and communication skills. This aspect assesses how candidates handle real-world situations and their fit within the team.
Candidates frequently experienced a drawn-out interview process with unclear timelines and follow-ups, leading to frustration and uncertainty about their status. This aspect highlights the importance of timely communication throughout the hiring journey.
Some candidates faced structured coding assessments, including HackerRank-style questions, which tested their technical skills under timed conditions. These assessments often included medium-difficulty coding challenges relevant to the role.
