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

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