Data Engineer, Multi-Asset Arbitrage
Core
Design, build, and grow the data plane for back-testing and other data-intensive applications, handling petabyte-level ingestion, ETL, and consumption.
Role type
Senior IC data engineer (financial data platform)
Builds
Data platform for back-testing and data-intensive applications
Domain
Financial technology / Quantitative trading
Deliverable
production ML models
Required skills
SQL, Python, Rust, C++, ETL architecture, distributed systems, data optimization, debugging
Preferred skills
ClickHouse, Snowflake, financial instruments software, REST APIs, distributed tracing, stream processing
Technologies
Kafka, Redis, Parquet, Arrow, Pandas, Polars, Dask, Vaex, PySpark, Prometheus, Grafana, Sentry, Flink, Arroyo
Responsibilities
Design and build data platforms for back-testing, handle petabyte-level data ingestion and ETL, collaborate with quantitative engineers, optimize code performance, architect data lake/warehouse/lakehouse patterns
Seniority
Senior, hands-on IC
