Senior Data Engineer

Type: Full Time Location: Remote (global), async-friendly Team: Risk and Data Infrastructure Reports to: Head of Engineering Compensation: Market-competitive base and equity

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About the Company

A well-funded team building institutional-grade clearing infrastructure for digital asset markets, connecting on-chain settlement to the trading firms that use it. Fully remote and globally distributed.

The Role

Clearing and risk are only as good as the data underneath them.

You'll own the data platform that ingests market, position, and collateral data from every venue we clear against, covering order books, trades, funding rates, and on-chain events, and turns it into the clean, low-latency, point-in-time correct datasets our margin engine, risk models, and research depend on.

This is a foundational seat. You define how data flows through the company from day one.

What You'll Build

• High-throughput ingestion pipelines for CEX and DEX market data across WebSocket and REST feeds and on-chain indexers, with strict ordering and reconciliation guarantees.
• A time-series and event-sourced data store supporting point-in-time reconstruction of positions, margin, and PnL for any historical timestamp.
• Streaming infrastructure (Kafka, Redpanda, or equivalent) feeding the real-time margin and liquidation engines with sub-second freshness SLAs.
• Data quality, reconciliation, and lineage tooling that catches venue gaps, bad ticks, and settlement mismatches before they reach risk.
• Curated datasets and feature pipelines powering quant research, backtesting, and the AI and forecasting stack.

What We're Looking For

• 7+ years building production data infrastructure at scale, ideally in trading, fintech, or another low-latency, correctness-critical domain.
• Strong Go or Rust for data services, and fluent Python for pipelines and analysis.
• Deep experience with streaming systems, time-series storage, and event-sourced or CDC architectures.
• A rigorous mental model of correctness. Idempotency, exactly-once semantics, ordering, and point-in-time consistency are second nature.
• Comfort owning infrastructure end to end: schema design, storage, orchestration, observability, and cost.

Nice to Have

• Crypto market data experience, covering CEX APIs, on-chain indexing, and the realities of exchange feeds.
• Familiarity with margin, PnL, or risk data and the precision they demand.
• Lakehouse or warehouse experience (ClickHouse, DuckDB, Iceberg, Snowflake) and orchestration tooling.

Benefits

• Market-competitive base salary and equity
• Top-of-market benefits
• Home-office stipend
• Fully remote