Data Engineer | Top Tier Quant Trading Firm | NYC

Delmar Nord has partnered with a top-tier proprietary trading firm - widely regarded as one of the most technically rigorous and intellectually demanding environments in global finance - to identify an exceptional Data Engineer. This is a rare opportunity to build and scale data infrastructure that directly supports the trading decisions of some of the sharpest quantitative minds in the industry. The Ro leYou will join a high-functioning engineering team responsible for designing, building, and maintaining the data pipelines and systems that power research, risk, and trading operations. The work is high-stakes, high-throughput, and deeply collaborative - sitting at the intersection of software engineering, data infrastructure, and quantitative financ e. What Yo u'll DoDesign and build reliable, low-latency data pipelines that ingest, transform, and deliver structured and unstructured datasets across the firmWrite production-quality Python to develop internal tooling, automate workflows, and support data platform capabil itiesAuthor and optimize complex SQL queries against large-scale relational and columnar databases; own data modeling decisions end-t o-endPartner closely with quantitative researchers and traders to understand data needs and translate them into robust, maintainable infrastru ctureMonitor pipeline health, triage data quality issues, and drive improvements to reliability and perfor manceContribute to internal frameworks and shared infrastructure used across the engineering organiz ation What We're Looki ng For Strong, demonstrable proficiency in Python - you write clean, idiomatic, production-rea dy codeExpert-level SQL skills - complex joins, window functions, query optimization, and schema design should be second natureExperience building and maintaining data pipelines in production environments with an emphasis on correctness and reli abilityComfort working with large, high-velocity datasets and the systems challenges t hey createStrong communication skills and the ability to work effectively with both technical and non-technical stake holdersBachelor's or advanced degree in Computer Science, Engineering, Mathematics, or a related quantitative dis cipline P referredPrior experience in financial services, quantitative research, or trading environments. Open to HealthTech and/or health professionals handling massive amounts of data and using Python & amp; SQLFamiliarity with distributed systems and data warehouse tech nologiesExperience with real-time or streaming data pr ocessingTrack record of improving data quality, observability, or platform tooling Show more Show less