Data Engineer, Data Platform

<p><strong>ABOUT THE ROLE</strong></p> <p>As a Data Engineer on the Data Platform team, you'll help design, build, and evolve the data infrastructure that powers analytics, AI, and machine learning across VTEX. This is a hands-on, mid-level role: you'll own features end-to-end — from ingestion and processing to storage and consumption — taking on problems that come with real ambiguity, and delivering them with growing independence.</p> <p>We're not looking for someone who arrives knowing everything. We're looking for someone with a strong engineering foundation and a high ceiling: a fast learner with sharp problem-solving instincts who is energized by a data platform going through a deep transformation of its architecture and the way it's built.</p> <p><strong>HOW WE WORK </strong></p> <p>The way we build has changed completely in the last year, and this role is defined by it. On this team, you don't measure yourself by lines of code written — you measure yourself by the value and quality of what you ship. AI tools are part of every step of our work: we direct them, review their output critically, and are accountable for the result.</p> <p>That makes two things essential:</p> <ul> <li><strong>Leveraging AI to scale your impact.</strong> We expect you to use AI extensively and well — designing workflows where agents handle the "known-knowns" (standard ETL, repetitive modeling) so your judgment goes to the hard, ambiguous problems. The goal is genuine leverage: producing at a level that simply wasn't possible a year ago.</li> <li><strong>Clarity as a contract.</strong> The quality of your written word is the quality of your AI output. If you can't describe a transformation clearly in a spec or doc, the code isn't ready to be written — by you or an agent. Strong technical w