Data Engineer - Systematic Hedge Fund - Up to $300,000 TC

Data Engineer - Systematic Hedge Fund - $200,000 - $300,000 TC Princeton OR New York City - 4 days a week - 1 day a week WFH You're building a greenfield data platform at one of the most technically serious hedge funds in the business. This fund has been fully systematic since 2003 and holds over $3.5 billion in disclosed equity holdings. It was founded and run by a Princeton CS PhD and former NEC research scientist. You are not building for a finance suit. You are building for someone who genuinely understands what good engineering looks like. The platform is greenfield, which means your decisions matter from day one. You are designing and building data infrastructure, not inheriting someone else's mess and patching it together. You will work across ETL pipelines, data validation, and schema management on a foundation that has two decades of systematic trading behind it. The team is small and senior. That means you get real access to leadership, real mentorship, and real ownership over what you ship. There is no finance background required here. If you are a strong engineer who wants a genuine on-ramp into the quant world, this is a rare setup. This would be a great second role in your career if you want to move fast, work with people who set the bar high, and build something that actually matters to the people running the firm. You have strong Python skills, specifically with Pandas, Polars, and NumPy. You hold a degree in computer science, engineering, math, physics, or something similar. You understand data fundamentals and can talk confidently about ETL, validation, and schema design. The role is hybrid, so you get the best of both. Ready to build something real at a fund that has been doing this longer than most? #J-18808-Ljbffr Saragossa