Senior Data Engineer (Fintech)
Summary
Build and maintain event-driven data pipelines and real-time processing systems for a Web3 infrastructure platform, using Python, SQL, ClickHouse, Airflow, and dbt to support high-volume transactional workflows.
It's a product company at the core of Web3 infrastructure — the connectivity layer between wallets and apps across blockchains. Since 2018 they've grown to 75K+ apps, 700+ wallets, 50M+ users, backed by $38M (Union Square Ventures, Shopify, Coinbase Ventures, Circle Ventures, Uniswap Labs). They've just launched a crypto & stablecoin payments product — already live in Stripe, Coinbase Commerce, Shopify, and BitPay, plus an Ingenico deal reaching 40M+ terminals in 120+ countries.
This role sits at the intersection of data engineering and backend systems. You’ll build and operate event-driven data pipelines, maintain real-time processing systems, and ensure data quality across high-volume transactional workflows. You’ll also build backend services that expose data to internal platforms and APIs, so teams across the company can consume it.
Day-to-day, you’ll work with Python, SQL, ClickHouse, Airflow, and dbt within an event-driven architecture. You’ll own the systems you build end-to-end — including monitoring, reliability, and data correctness — and collaborate with product, engineering, and infrastructure teams to support new data use cases as the platform grows.
What they're after:
5+ years in data engineering — production pipelines you've built and operated
Event-driven, real-time / near real-time processing
Strong SQL + Python; modern stack (Airflow, dbt, ClickHouse, BigQuery, or similar)
Nice to have: fintech/payments data, Web3, Rust
IMPORTANT: The company considers candidates only from fintech, payments, or high transaction volume products (e.g. Stripe, Adyen, Checkout.com, Revolut, and similar).
