A company that wants to grow (but not with you)
A company that wants to grow (but not with you)
Relatively easy job at entry-level positions.
Very diverse and inclusive work environment.
- 401k matching
- Profit sharing
Management was inexperienced and not human-facing. Strict time management and quota output. Performance is extremely metrics-based.
Shutdowns can happen at any time. Build your repertoire as a reliable and human manager. You never know what kind of talent will flock with you if everything just suddenly disappears. The people around you make your experience at any company better.
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Tesla Interview Questions
Tesla Interview Experiences
Data Engineer
I applied online. The process took 4 weeks. 3 rounds in total: * 2 Tech Rounds with coding with SQL (multi-join) and Python (LeetCode), and resume deep dive and "Why Tesla?" / "Why Data Engineer?" * Last round in person onsite (didn't make it)
Data Engineer
OA (Python x1, SQL x1)-> Technical Interview (Python about JSON parsing). The process takes about two weeks, and the result comes out very late, so I have to ask HR for the rejection after a week.
Data Engineer
Application and Screening: Recruiter Screening Call Technical Interviews (1 hr): * Writing efficient SQL queries * Solving Python coding problems * Discussing ETL pipeline design and optimization strategies * Problem-solving scenarios relevant to Te
Data Engineer
Palo Alto, California, United StatesJune 5, 2026I applied online. The process took 4 weeks. 3 rounds in total: * 2 Tech Rounds with coding with SQL (multi-join) and Python (LeetCode), and resume deep dive and "Why Tesla?" / "Why Data Engineer?" * Last round in person onsite (didn't make it)
Data Engineer
United StatesMarch 1, 2024OA (Python x1, SQL x1)-> Technical Interview (Python about JSON parsing). The process takes about two weeks, and the result comes out very late, so I have to ask HR for the rejection after a week.
Data Engineer
United StatesNovember 1, 2023Application and Screening: Recruiter Screening Call Technical Interviews (1 hr): * Writing efficient SQL queries * Solving Python coding problems * Discussing ETL pipeline design and optimization strategies * Problem-solving scenarios relevant to Te
