Senior Digital Technical Engineer
Posted Sep 22, 2026 · We last checked this listing on Oct 4, 2026
Likely interview questions for this role
Written from this job description, not a generic list. Each one notes what the interviewer is really checking.
About your past
Tell me about a complex technical issue you resolved that affected many customers.
What they are checking: Experience handling critical issues with broad impact and pressure to fix quickly.
Tell me about a time you explained a technical root cause to dealers or customers.
What they are checking: Clear communication with non-engineers who are affected by the issue.
What would you do
A dealer reports that hours and fuel data for a fleet look wrong in the customer app. How would you investigate?
What they are checking: Methodical root cause work across device, network, cloud and application layers.
You work with BCP, CI, RI and P&E. How do you get engineering teams in different divisions to prioritize a connectivity bug?
What they are checking: Influence across divisions with clear impact data.
A fix is ready, but rolling it out to devices in the field carries risk. How do you decide how to deploy it?
What they are checking: Careful release judgment, such as staged rollouts, for devices on working machines.
About the work
Walk me through how machine data travels from a telematics device to a customer-facing application, and where it can go wrong.
What they are checking: End-to-end understanding of the connectivity ecosystem, which this team is responsible for.
How do you tell whether an issue is hardware, firmware, cellular, or backend software?
What they are checking: Diagnostic judgment that isolates the failing layer before pulling in many teams.
How would you support a new machine product as it is integrated into the connectivity platform?
What they are checking: Understanding of new product integration, including validation of data quality before launch.
What tools do you use to query or analyze large sets of machine data?
What they are checking: Practical data skills, such as SQL or scripting, used to spot patterns in field data.
How would you define and monitor data quality for telematics data?
What they are checking: Whether they can set measurable checks rather than only reacting to complaints.
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Practice this out loudThe full job description
As published by Caterpillar.