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 Rol eYou 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 finance . What You'll DoDesign and build reliable, low-latency data pipelines that ingest, transform, and deliver structured and unstructured datasets across the fi rmWrite production-quality Python to develop internal tooling, automate workflows, and support data platform capabiliti esAuthor and optimize complex SQL queries against large-scale relational and columnar databases; own data modeling decisions end-to-e ndPartner closely with quantitative researchers and traders to understand data needs and translate them into robust, maintainable infrastructu reMonitor pipeline health, triage data quality issues, and drive improvements to reliability and performan ceContribute to internal frameworks and shared infrastructure used across the engineering organizati on What We're Looking ForRequi redStrong, demonstrable proficiency in Python - you write clean, idiomatic, production-ready c odeExpert-level SQL skills - complex joins, window functions, query optimization, and schema design should be second nat ureExperience building and maintaining data pipelines in production environments with an emphasis on correctness and reliabil ityComfort working with large, high-velocity datasets and the systems challenges they cre ateStrong communication skills and the ability to work effectively with both technical and non-technical stakehold ersBachelor's or advanced degree in Computer Science, Engineering, Mathematics, or a related quantitative discipl ine Prefe rredPrior experience in financial services, quantitative research, or trading environments. Open to HealthTech and/or health professionals handling massive amounts of data and using python & SQL.Familiarity with distributed systems and data warehouse technolo giesExperience with real-time or streaming data proces singTrack record of improving data quality, observability, or platform too ling Show more Show less