Teza Technologies
Data Engineer
Austin
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About the role
- 1 PB of raw historical vendor data, growing by ~150 GB every day
- 120 TB of processed, query-ready data in historical storage
- Thousands of scheduled jobs: run by cron today, actively migrating to Apache Airflow
Responsibilities
- 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.
- What we're building right now
- 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.
- Real-time delivery: alternative data flows straight into strategies' live feeds. Pipelines you build sit in the trading path.
Requirements
- Proficiency in Python and Unix/Linux for data manipulation, scripting, and automation.
Nice to have
- Financial industry experience or internships.
- Experience with on-premises data infrastructure.
- Familiarity with a cloud platform (AWS or GCP).
- Apache Airflow or similar workflow orchestration tools.
Benefits
- Health, visual and dental insurance
- Flexible sick time policy
This listing is sourced directly from Teza Technologies's careers page and normalized into a canonical job model.