Polymarket

Senior Data Engineer

New York · Senior

Sponsorship not specifiedDetected 84 days ago

PythonExpressDistributed SystemsSQLPostgreSQLBigQuerySnowflakeRedshiftPrometheusRESTKafkaData Engineering

About the role

Every trade, position, and resolution flows through a data layer that powers our entire user-facing product - leaderboards, PnL, activity feeds, positions, volume analytics - with sub-100ms latency targets at crypto scale.
Schema drift, parity gaps under migration, latency regressions, and cost blowouts all land on this role.
When a product team asks "can the data layer answer this query under X ms at Y $/month," you're the one who can say yes confidently, or redesign the slice that makes it possible.

Own the OLAP analytics layer.
Drive our columnar warehouse environment end-to-end: raw event ingestion → cleaned facts and dimensions → business aggregates → API-serving views.
You'll own materialized view design, refresh cadences, dictionary catalog, query planning, and cost optimization.
Partner on the OLTP serving layer. Work closely with the team on high-write serving tables that back our product APIs - partition strategy, indexing, trigger pipelines, autovacuum tuning, and bloat monitoring - with sub-100ms read-path discipline.
Design data models at scale.
Design the derivative analytics - PnL, realized/unrealized position tracking, cohort metrics - and formalize ownership boundaries between upstream ingestion and downstream analytics.
PostgreSQL at scale: partitioning, index design, autovacuum/bloat remediation, query planning, CDC triggers vs. logical replication

5+ years of data engineering on production systems serving real users at scale
Deep knowledge of OLTP/OLAP split architectures: you know when a row store wins, when a column store wins, and when to use both
you know when a row store wins, when a column store wins, and when to use both

ClickHouse strongly preferred
Snowflake, BigQuery, Redshift, or Apache Pinot accepted if fundamentals are solid
(Plus) Domain knowledge in DeFi, prediction markets, or order-book systems
(Plus) Python for SQL tooling, ad-hoc analysis, and one-off migrations
(Plus) Track record shipping a platform migration or greenfield data stack under a hard deadline
Columnar warehouse expertise: ClickHouse strongly preferred
(Plus) EVM indexing experience: rindexer, subgraphs, or comparable - this shortens ramp considerably
(Plus) Rust: you'll touch indexer and validation tooling codebases

This listing is sourced directly from Polymarket's careers page and normalized into a canonical job model.