Senior Quantitative Developer — Real-Time Data Pipelines

Polymarket; United States; On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Competitive salary & equity

Unlimited PTO

Full Health, Vision, & Dental coverage

401k match

Hardware setup: new MacBook Pro, big</

Job summary

Polymarket in the United States is seeking a Senior Quantitative Developer to own and improve our real-time data infrastructure. You will build and operate high-throughput pipelines that feed market data across systems, emphasizing reliability and low latency.

You will own end-to-end pipeline lifecycles, diagnose data gaps, ship continuous improvements, and collaborate with analysts to shape data delivery. Experience with Python, stream processing, cloud platforms, and latency-sensitive

Qualifications

• 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

Responsibilities

• 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

Skills

Python

Real-time data pipelines

Kafka / Flink / Kinesis

Data reliability debugging

Cloud platforms (AWS / GCP)

Latency-sensitive trading environments

Blockchain event indexing

Tools

Kafka

Flink

Kinesis

AWS

GCP

Job description

Polymarket in the United States is seeking a Senior Quantitative Developer to own and improve our real-time data infrastructure. You will build and operate high-throughput pipelines that feed market data across systems, emphasizing reliability and low latency.

You will own end-to-end pipeline lifecycles, diagnose data gaps, ship continuous improvements, and collaborate with analysts to shape data delivery. Experience with Python, stream processing, cloud platforms, and latency-sensitive