Large company = Lots of opportunities.
Many locations.
They hire nothing but contractors. Eventually, contractors can be converted into employees, but in my department, it could take years. Contractors are treated like second-class citizens. They do not get to attend company events and obviously get no benefits from DIRECTV/AT&T (no vacation, no health, etc.). This company is extremely frugal and opposed to giving anyone benefits.
Certain departments have tight budgets and do not pay well. Mine was one in particular. Everyone in my department made below average salary (and without benefits because they were contractors for the most part).
Since it is a big company, do not be surprised if other workers steal your food from the fridge. This happened to me on several occasions.
There is little company culture.
In my department, management knew little about what we did. For managing a technical department, they were not tech-savvy. Management was also very bad at giving direction. They would want something but could not explain what they wanted—then they would get upset if you did not give them what they expected.
Hire more employees. Reward loyal contractors with employee status. Pay better wages. Create a friendlier, less stressful environment, encouraging employees to be more productive.
They ask about proficiency in several technologies used by the department, e.g., Linux, CentOS/RHEL, Kickstart, VMware, cfengine, etc. You are not assumed to know everything, but if it is on your resume, you should be familiar with it. They will pick
You are given a take-home Jupyter notebook for the data analyst interview. It is scored, then you are asked questions to code on the spot, which are usually adjustments to the notebook.
Quick and easy 2-step interview with basic questions about the role. Friendly managers and an easy-going interview process. I highly recommend working here. You will love the environment and friendly coworkers.
They ask about proficiency in several technologies used by the department, e.g., Linux, CentOS/RHEL, Kickstart, VMware, cfengine, etc. You are not assumed to know everything, but if it is on your resume, you should be familiar with it. They will pick
You are given a take-home Jupyter notebook for the data analyst interview. It is scored, then you are asked questions to code on the spot, which are usually adjustments to the notebook.
Quick and easy 2-step interview with basic questions about the role. Friendly managers and an easy-going interview process. I highly recommend working here. You will love the environment and friendly coworkers.