Coatue Management is a long/short equity hedge fund based in New York City. We focus on investments in the technology, media and telecommunications sectors and manage $10+ billion in assets on behalf of individuals, nonprofit organizations and institutional investors.
We’re in the middle of building a market intelligence platform based on non-traditional data (ie. Non-financial data). We look for unique and creative sources of data (everything from e-commerce pricing to satellite data), use it to model key firm and economic metrics, and present it to investment staff.
We’re seeking an engineer interested in taking a lead role in building a data pipeline and warehousing backend for datasets ingested from APIs, web scraping, remote databases, and purchased data feeds. You would help build systems for job scheduling, data anomaly/QA detection, process monitoring, and efficient storage/querying. Our current infrastructure uses Python, MySQL, and Docker but we are open to well thought out alternatives. The ideal candidate will have experience and opinions on database architecture and best practices when building high throughput data systems. This role offers the opportunity to take ownership of the architecture and offers technical freedom/creativity.
Keyword skills: Data Engineer, Python, AWS, SQL, Docker, Redis, Redshift, Spark
We're always happy to talk to data scientists interested in creative ways of measuring the economy as well.
Email us if you're interested or want to learn more: recruiting [at] coatue.com