Senior Quantitative Developer
You will take ownership of critical real-time data pipelines, ensuring reliable, low-latency ingestion and delivery of market data. You will investigate data issues, improve infrastructure continuously, monitor pipeline health, collaborate on downstream data needs, and document systems clearly.
Responsibilities
- Build and maintain reliable, low-latency real-time data pipelines for market events
- Investigate and resolve data gaps, delivery delays, and schema breaks
- Continuously improve ingestion and delivery infrastructure
- Monitor pipeline health, define alerts, and reduce operational overhead
- Partner with analysts and engineers to improve downstream data quality and delivery
- Document systems so other engineers can work in them easily
Requirements
- 5+ years of experience building and operating production data pipelines
- Proficiency in Python or a similar language for pipeline development, data transformation, and tooling
- Experience with production stream processing systems such as Kafka, Flink, or Kinesis
- Experience debugging data reliability issues including schema drift, late-arriving events, and ordering anomalies
- Ability to own the full lifecycle of systems from design through maintenance in resource-constrained environments
- Experience with AWS or GCP cloud data infrastructure, including storage, compute, and orchestration tooling
- Experience in financial markets, crypto infrastructure, or latency-sensitive trading environments
- Familiarity with blockchain event indexing or on-chain data ingestion
- Experience with data contracts and schema registries across multiple producers and consumers
Benefits
- Equity
- Unlimited PTO
- Health coverage
- Vision coverage
- Dental coverage
- 401k match
- New MacBook Pro, display, and accessories