Connect Search has a Hedge Fund Client out of Mid Town Manhattan seeking to hire multiple Data Engineers.
Medical, Dental, Vision, and 401K for eligible employees.
Hourly Range Paid Weekly
$80/hr to $115/hr W2 or 1900/Corp to Corp
12 Month Contract 5 days a week onsite
The focus is on building out trading controls-specifically, parsing trade recap information to extract critical trade details like settlement date, trade date, instrument, and price. It's a high-impact role with 100s of financial products needing to be onboarded.
We are seeking a Data Engineer to design and build real-time and historical data pipelines for trading systems, focusing on trade reconciliation, market data processing, and analytics. The role involves integrating data from multiple exchanges, brokers, and vendors, ensuring accuracy and consistency across trade confirmations, drop copies, and settlement data.
Key Responsibilities:
- Develop real-time & batch data pipelines for trade reconciliation across counterparties.
- Process market data (real-time & historical) from exchanges and vendors, optimizing storage for long-term persistence.
- Build systems to parse trade confirmation emails, extracting key details (price, settlement date, trade ID).
- Support the trading analytics team with cross-market views and trading controls.
- Work with KDB+ for debugging and analyzing high-frequency trading data.
- Enhance workflows using Airflow, PySpark, or Python-based web scraping for data aggregation.
Tech Stack & Requirements:
- Python (Airflow, PySpark, web scraping
- Experience with real-time data processing (KDB+, WebSocket feeds).
- Knowledge of financial instruments (options, swaps, critical trade fields).
- Familiarity with GenAI for data processing (a plus).
- Ability to design modular systems-FTEs build core infrastructure, contractors extend functionality.