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.
The scale, in plain numbers:
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1 PB of raw historical vendor data, growing by ~150 GB every day
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120 TB of processed, query-ready data in historical storage
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Thousands of scheduled jobs: run by cron today, actively migrating to Apache Airflow
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Alternative data delivered directly into the real-time feeds of live trading strategies
This is a hands-on position on a small team of data engineers with growth potential. The firm is looking for outstanding technical skills, strong attention to detail, and a desire to architect and build data platforms.
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.
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Design and onboard new data sources into our warehouse; improve the robustness, speed, and scalability of our systems; manage data entitlements.
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Build automated systems for data cleansing, anomaly detection, monitoring, and alerting, bad data must never reach a strategy.
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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.
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Support the production data warehouse the firm depends on.
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Develop and maintain vendor relationships aligned with our business objectives.
What we’re building right now
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A bitemporal data store, designed and written in-house from scratch. Every dataset answers both “what did we know then?” and “what do we know now?”, which is what lets researchers trust a backtest.
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A Python 3.14 migration of a large, long-lived codebase.
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Adoption of the latest Apache Airflow: writing DAGs for the thousands of jobs moving off cron.
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Pipelines for market data and alternative data: everything from exchange feeds to weather.
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Real-time delivery: alternative data flows straight into strategies’ live feeds. Pipelines you build sit in the trading path.