Credit Karma reviews

I was excited to be involved with the data engineering and data science teams. But the more involved I got the more I realized that it’s mix of shockingly average to bad engineers and data scientists. I think it all starts with the hiring process. The bad ones who got in early continued working to higher positions and the people they hired continued the tradition of bad engineers. I also don’t think they are handling the post-startup growth stage very well. I know at least couple of other people who left because of how badly the data team was managed.

- Some teams seem to have way more work than others. You always see the same people playing ping pong/pool/foosball - Products are rushed and deadlines seem arbitrary to please leadership. This causes a lot of extra work for many teams. - Too many fires and last minute requests distract from getting real work done - Teams take their goals/OKRs as the main priority and are reluctant to help others even if it's for the greater good - Politics are getting worse, but still not at level of some large silicon valley companies