Data Engineer

Teza's Data Platform team owns the data the firm trades on: every backtest, every live strategy, every portfolio decision starts with data we ingested, cleaned, stored, and served.

• Work directly with Portfolio Managers and Quantitative Developers: turn their requirements into datasets and pipelines, and be the person who knows every nuance of the data they trade on.
• Design and onboard new data sources into our warehouse; improve the robustness, speed, and scalability of our systems; manage data entitlements.
• Build automated systems for data cleansing, anomaly detection, monitoring, and alerting, bad data must never reach a strategy.
• Evaluate new tools and technologies for organizing, querying, and streaming large datasets, and when nothing on the market fits, build it. That's how the bitemporal store happened.
• Support the production data warehouse the firm depends on.
• Develop and maintain vendor relationships aligned with our business objectives.