Data Engineering at Charles Schwab

Schwab is hiring actively: 18 open data engineering roles across 8 cities, with Austin as the heaviest market. That volume suggests the post-merger integration is still generating pipeline and warehouse work, which makes this a reasonable moment to join if you want greenfield-within-a-legacy-org problems. The 30-day layoff risk reads low, which provides near-term job security that a lot of Finance employers can't match right now. The trajectory question is whether the TD Ameritrade integration work matures into steady-state maintenance or keeps producing net-new engineering surface over the next year. Engineers joining now are likely landing in the middle of that transition, with the upside of building consequential systems and the risk of owning them indefinitely once the integration push loses momentum.

The salary pool skews mid and senior: 10 mid-level reports and 11 senior reports make up the bulk of 24 total. Engineers at those bands who want financially consequential pipelines, clear compliance guardrails that remove certain ambiguity, and a stable employer will find a reasonable fit. The jump to L7 principal is thin in the data (3 reports), so if staff-plus trajectory is your main priority, Schwab probably isn't where you prove it. Engineers who thrive here tend to have patience for process and genuine interest in financial data domains. If you want fast tooling cycles or a culture that experiments loudly, pass. If you're convinced this is a fit, focus your prep on pipeline architecture and get sharp on SQL for the screen.