Senior Analytics Engineer

About Polymarket

Polymarket is the world's fastest growing prediction market. We enable individuals to express views on real-world events by trading on outcomes across politics, economics, sports, culture, and current affairs. Built as a peer-to-peer marketplace with no centralized "house," Polymarket aggregates diverse opinions into transparent, market-based probabilities that reflect collective expectations about the future. We're growing quickly, both in terms of volume ($115B traded to date) and adoption as an alternative news source. Our ambition is to become a ubiquitous beacon of truth in global media and we need your help adding fuel to the fire.

Responsibilities

• Design and build the dbt models that turn raw platform, on-chain / off-chain trading activity, and third-party data into trusted, well-documented datasets
• Own the definitions of our core metrics including volume, traders, retention, acquisition cost, revenue, etc, so that a number means the same thing in every dashboard and every conversation
• Partner closely with data engineers on the warehouse layer, including materialized views, incremental models, query performance, and cost
• Build and maintain reporting in homegrown Vercel dashboards and Hex that growth, marketing, finance, and markets teams can use self-serve insights
• Work directly with stakeholders to translate open-ended questions into models that answer them durably, rather than one-off queries
• Write tests and monitoring at the model layer so data quality issues surface before someone finds them in a board deck
• Model new products and market types as they launch, keeping the semantic layer in step with a business that changes weekly
• Write end-to-end documentation that’s clear and thorough enough that any engineer or analyst on the team can context-switch into your models without friction

Requirements

• 7+ years of experience in analytics engineering, data analytics, or a similar role, with production experience owning a modeling layer
• Expert SQL. You're comfortable reading, writing, and optimizing complex queries against high-volume datasets
• Hands-on experience with dbt or equivalent, Airflow or other orchestration solutions, and a modern cloud warehouse such as Databricks, Snowflake, BigQuery, or ClickHouse
• Strong instincts for dimensional modeling and metric design, including the judgment to know when to denormalize
• Fluency with BI tooling such as Hex, Looker, or similar, and a bias toward building for self-serve over fulfilling one-off requests
• Enough software engineering fundamentals to work comfortably in version control, review others' code, and keep a project maintainable
• Genuine interest in the business. You want to know why a metric moved, not just that your model ran.
• Comfortable operating in a fast-moving environment where business logic changes frequently and you need to keep pace

Nice to Have

• Familiarity with on-chain data or blockchain analytics
• Experience in fintech, crypto, prediction markets, or other data-intensive financial products

Benefits

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