Great Bank that is Modernizing the back office and consumer capabilities - Manager Data Engineering Texas Capital Employee Review

4.0
May 19, 2021
Recommend
CEO approval
Business Outlook

Pros

With our new CEO comes a focus on how technology can be used to simplify how our customers conduct business with us as well as how we can better utilize technology to support our internal processes to better use our data assets to drive decisions. If you are the type of person that likes to roll up your sleeves and solve problems to modernize legacy processes, then this is the place for you. The teams work great together and under our new leadership are empowered to solve long standing process challenges to improve our ability to deliver value for our internal stakeholders and most importantly our customers!

Cons

Being a bank does mean this is a regulated environment and there are some governmental overhead that cannot be avoided. We are diligently working to meet those requirement in the leanest way possible so that those requirements do not become bottleneck.

Explore other reviews about Texas Capital

5.0
Apr 23, 2026
Anonymous employee
Recommend
CEO approval
Business Outlook

Pros

Pays well for hard work

Cons

Nothing it is a great firm

1.0
Mar 5, 2026
Anonymous employee
Recommend
CEO approval
Business Outlook

Pros

Some talented engineers and team members who try to do the right thing despite constant organizational friction.

Cons

The technology organization suffers from a lack of strong engineering leadership and accountability. Managers often avoid making firm technical or project decisions, which leads to shifting priorities and unclear direction. When initiatives struggle, responsibility is frequently pushed downward onto engineers rather than addressed at the leadership level. There has also been noticeable turnover across engineering teams while leadership continues pushing a model where only a small number of onshore “lead engineers” remain while much of the development work moves offshore. In practice this creates bottlenecks where engineers complete work during normal hours but cannot move code forward until offshore teams review and approve pull requests. Leadership has also introduced initiatives without realistic planning. When internal AI tooling was introduced, expectations around productivity were abruptly changed (for example, reducing story point estimates under the assumption AI would accelerate development). At the same time, engineering resources were directed toward building an internal AI assistant that largely functions as a wrapper around existing models while higher-priority platform work remains under-resourced. Culturally, the environment can feel dismissive toward engineers. Turnover remains high, concerns raised by teams are rarely addressed, and negative feedback about the organization has been consistent for years without meaningful change from upper management.

1
See reviews by: Helpful|Rating|Date|All