Good starter company
Good starter company
Great work-life balance. Easy work for the pay.
Soft culture. People are scared to speak up, so feedback isn’t really a thing.
Overly subjective and dictator-like decisions. Talent is below average.
Tools are mediocre and badly designed.
Leadership are virtue-signaling egomaniacs that should not belong in an engineering field. Lots of time is wasted, support sucks, and it's unorganized.
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Capital One Interview Questions
Capital One Interview Experiences
Data Engineer
I had applied through the company's career portal and received a call from HR within a few weeks. The position offered was different from the one I had applied for, but they were ready to sponsor an H1B visa for it. The HR representative briefed me a
Data Engineer
The interview was pretty straightforward, completely on AWS, Snowflake, Python, PySpark, Databricks, and Agile. There were two rounds: one round with the manager and one round with the director. The manager round was technical, and the director round
Data Engineer
The interview consisted of four rounds. The first round involved a phone screen with a few technical SQL questions. Following this, there was an ETL pipeline design discussion and a simple implementation using PySpark. The technical panel asked abou
Data Engineer
United StatesJanuary 1, 2015I had applied through the company's career portal and received a call from HR within a few weeks. The position offered was different from the one I had applied for, but they were ready to sponsor an H1B visa for it. The HR representative briefed me a
Data Engineer
Plano, Texas, United StatesJanuary 10, 2026The interview was pretty straightforward, completely on AWS, Snowflake, Python, PySpark, Databricks, and Agile. There were two rounds: one round with the manager and one round with the director. The manager round was technical, and the director round
Data Engineer
San Francisco, California, United StatesMay 1, 2024The interview consisted of four rounds. The first round involved a phone screen with a few technical SQL questions. Following this, there was an ETL pipeline design discussion and a simple implementation using PySpark. The technical panel asked abou
