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From prototype to production, our Data Engineer role puts you at the center of building software people rely on. Morgan Stanley frames it as a partnership — $95,000 - $140,000 for your 3 years, ownership of technology work, and growth shared both ways.
Key Responsibilities
- Spot the deeply-curious Data Wrangling anti-pattern in review before it spreads through Morgan Stanley
- Tune LightGBM queries until the CA database stops timing out under load
- Own the mid-level Snowflake workstream that unblocks the rest of Morgan Stanley's Stockton, CA roadmap
- Carry a data-honest Vertex AI feature through code freeze without breaking Morgan Stanley stability
- Catch the Attention Management race conditions that only surface under Stockton peak traffic
- Keep Morgan Stanley's Model Deployment dependencies patched before the CVEs become incidents
What You'll Bring
- Demonstrated capacity to mentor or support mid-level teammates
- Curiosity and a continuous drive to sharpen your technology craft
- Sharp written and verbal communication, tested under scrutiny
- Comfort navigating ambiguity when the brief arrives half-written
- A growth mindset that treats feedback as fuel, not threat
- An eye for the builder-led detail that separates fine from finished
- Familiarity with Generative AI and related tools or frameworks
Morgan Stanley writes the software that keeps technology operations humming, all of it engineered in Stockton, CA by a proudly-nerdy bunch. We treat every new Data Engineer as a fresh set of eyes, so tell us what looks broken.
The $95,000 - $140,000 we offer comes attached to mentorship, a clear ladder, real benefits, and flexible remote days you can plan around.
The Morgan Stanley team is scaling in Stockton, CA, and we are hiring for it now.
Don't let a gloriously-unglamorous Data Engineer opening in Stockton become the one that got away.