Altimetrik Data Engineer interviews, as candidates describe them, center on hands-on SQL, Python and Spark or PySpark. Reports mention a screening, technical rounds, and in one case a client round and HR, with slow follow-up afterward.
$105K
Avg. Base Comp
$130K
Avg. Total Comp
2-5 rounds
Typical Rounds
Not reported
Process Length
Candidates describing the Altimetrik Data Engineer interview mention SQL in nearly every account, and Python and Spark feature heavily in the more detailed ones. The most detailed report describes four rounds: a technical round of about 45 minutes, a managerial round, a client interview, and HR. That candidate says the client round was the most hands-on. It included writing PySpark code for an SCD2 scenario, SQL coding problems, and a Python task such as a factorial script. Elsewhere in the process, the same candidate mentions a CTE query, Spark optimization, window functions, ETL versus ELT, and shallow versus deep copy in Python.
Another candidate reports a phone screening followed by a one-hour technical round covering SQL, Python and challenging scenario-based Spark questions. A third describes a recruiter screen, then a coding round and a technical assessment. A fourth cleared a roughly 40-minute first round on ETL testing, SQL and coding, then was rejected five days after choosing slots for round two.
To prepare, practice writing SQL and PySpark from scratch, including window functions and slowly changing dimension logic, and be ready to explain how you used Spark in past projects. If the role depends on a specific stack, ask early whether PySpark or Scala is mandatory.
Outcomes in these reports were mostly negative, and several candidates describe long silences after interviews or document verification. One senior-titled report mentions five rounds. Ask recruiters for a clear timeline and a point of contact, and follow up proactively.
Synthesized from 5 candidate reports by our editorial team.
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Synthesized from candidate reports. Individual experiences may vary.
Candidates report an initial screening where a recruiter asks about your background, current role and tech stack. This is a good point to ask whether PySpark, Scala or another tool is a hard requirement for the target project, since one candidate says that was unclear until later.
Candidates report a technical round of roughly 40 to 60 minutes. Topics include SQL, Python, window functions, Spark optimization and scenario-based Spark questions. One candidate also mentions ETL testing. Expect to write code rather than only explain concepts.
One candidate describes a managerial round of about 45 to 50 minutes that focused on their background and how they approach technical problems. Other reports do not describe this stage, so it may not apply to every role or team.
The same candidate reports a client interview as the most intense round. It included PySpark code for an SCD2 scenario, SQL coding problems, Python fundamentals, and a discussion of how Spark would fit the project's ETL pipeline. Prepare to turn business logic into transformations.
One candidate reports an HR round on logistics and fit, followed by a document upload and verification step. Several candidates describe delays or no communication afterward, and one reports a rejection five days after choosing second-round slots. Follow up proactively and ask for a written timeline.
