# Senior Quantitative Developer

**Company:** [Polymarket](https://hotfix.jobs/companies/polymarket)
**Location:** New York, NY
**Role:** Data Engineering
**Experience:** 5+ years
**Skills:** Python, Kafka, Flink, Kinesis, AWS, GCP, Data Pipelines, Stream Processing, Schema Management, Data Reliability
**Posted:** 2026-06-16

> Build and operate real-time data pipelines for market events with high reliability and low latency. Requires 5+ years building production data infrastructure, Python proficiency, and experience with Kafka/Flink/Kinesis on AWS or GCP.

## Job Description

## What You'll Do
- Build and maintain real-time data pipelines that ingest market events across our platform with high reliability and low latency
- Investigate and resolve root causes of data gaps, delivery delays, and schema breaks before they compound into larger incidents
- Ship incremental improvements to ingestion and delivery infrastructure on a continuous basis — not just when something breaks
- Monitor pipeline health, define meaningful alerts, and reduce the operational overhead of keeping systems running
- Partner with analysts and engineers to understand how data is consumed downstream and improve the quality and shape of what gets delivered
- Document systems clearly enough that any engineer on the team can context-switch into your systems without friction

## What We're Looking For
- 5+ years of experience building and operating production data pipelines with real throughput and real consequences when they fail
- Strong proficiency in Python or a similar language for pipeline development, data transformation, and tooling
- Hands-on experience with stream processing systems such as Kafka, Flink, or Kinesis in a production environment
- Track record of debugging hard data reliability issues — schema drift, late-arriving events, ordering anomalies — and getting to root cause without a lot of hand-holding
- Comfort operating in resource-constrained environments where you own the full lifecycle of what you build, from design through ongoing maintenance
- Experience working with cloud data infrastructure, particularly on AWS or GCP, including storage, compute, and orchestration tooling
- (Plus) Experience in financial markets, crypto infrastructure, or other latency-sensitive trading environments
- (Plus) Familiarity with blockchain event indexing or on-chain data ingestion
- (Plus) Experience building or maintaining data contracts and schema registries across multiple producers and consumers

## Benefits
- Competitive salary & equity
- Unlimited PTO
- Full Health, Vision, & Dental coverage
- 401k match
- Hardware setup: new MacBook Pro, big display, & accessories

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