What are the responsibilities and job description for the Senior Data Developer position at Harrington Starr?
Senior Data Developer – Hedge Fund | New York (Hybrid)
Are you an experienced data developer who loves building fast, reliable systems that fuel quantitative trading and risk management?
A global multi-strategy fund is expanding its New York data team to build the next generation of its market data platform, working directly with quants, PMs, and traders to power insights that drive investment returns.
You’ll:
- Develop scalable ETL pipelines in Python for high-volume financial data.
- Build cloud-based data lake environments (AWS / Databricks).
- Implement robust data validation and quality checks.
- Work with researchers to design pipelines for modeling and back-testing.
- Document and maintain the firm’s core data architecture.
Requirements:
- 5 years of Python development (Pandas, SQL, Linux environment).
- Hands-on experience building data solutions for trading, research, or risk.
- Deep technical curiosity and strong problem-solving skills.
- Strong knowledge of market data and financial time-series.
- Bachelor’s or higher in a quantitative or technical discipline.
- Experience with Kafka or other streaming technologies. (nice to have)
- Understanding of financial market data, symbology, and reference data across equities, futures, credit, indices, and OTC asset classes.(nice to have)
Preferred:
Kafka or streaming systems, AWS cloud architecture, experience in hedge-fund or prop-trading environments.
📍 New York City (Hybrid, 2–3 days in office)
💰 Highly competitive base performance bonus
Salary : $100,000 - $200,000