Hi, we’re MoonPay. We’re here to onboard the world to the decentralized economy. Why? Because crypto and blockchain aren’t just technologies—they’re tools for global financial empowerment. They give people control over their money, their digital assets, and their future, unlocking opportunities that traditional systems have kept out of reach. What we do At MoonPay, we’re building the infrastructure that powers this new financial system. We make it easy for anyone, anywhere, to buy, sell, and trade crypto using everyday payment methods like cards, Apple Pay, PayPal, Revolut and Venmo. We provide simple tools to send, receive, and manage stablecoins, so anyone can participate in the crypto economy confidently. Trusted by nearly 30 million customers and over 500 companies, our secure, enterprise-grade platform is driving mainstream crypto adoption worldwide. We collaborate with innovative brands and projects to build secure, scalable solutions for a blockchain-powered future. And we’re committed to doing it right—fully licensed in the U.S. and regulated across the UK, EU, Canada, and Australia—because trust and compliance are non-negotiable. But we’re just getting started. We’ve launched a consumer app that makes crypto accessible, intuitive, and usable for everyone, and it’s growing fast. We’re iterating every day to make it the best it can be. If you believe financial freedom should be for everyone—if you believe in building a fairer, more open financial system—we want you with us. To build systems that benefit all, we need contributions from all, regardless of background. Come build the future of payments and the decentralized economy with MoonPay. Let’s make financial freedom and autonomy the new normal. 🌔 About the Opportunity Our engineering discipline builds the technology that enables MoonPay to learn quickly and scale easily. We organize in small cross-functional squads of 4-6 engineers and an embedded Product Manager and Product Data Scientist. We currently have squads across Crypto / NFT / Payments / FinCrime / KYC / Core Product and others. For this role, the initial focus will be on working on our FinCrime products, while mastering other product areas to then spearhead ML and AI adoption in the company. 🚀 What you will do - Build and integrate data pipelines for ingesting data, processing and serving features in real-time in a high throughput/low latency environment - Support multiple data models that serve critical data for FinCrime products (ML models, risk engine, etc.) - Own our Feature Store development, expanding our feature engineering capabilities for stateless and stateful data for both offline and online serving - Enhance our monitoring capabilities, adding new data alerts for drift, anomalies, latency, etc - Analyze large datasets using SQL, Apache Beam and Polars to surface features - Help build AI-powered automation tools or pipelines and propose improvements across the company - Maintain and improve our existing codebase, expanding our internal Feature Store and ML libraries and pipelines 💻 What you will be working with/on - Apache Beam - Dataflow - BigTable - Redis - BigQuery - Python, Polars, Pandas and Numpy - ML feature engineering for fraud prevention - FastAPI, Docker, Kubernetes - Kubeflow and Airflow - Vertex AI - Pydantic - DataDog - Github 🧑‍🚀 About You - Experienced in Data Engineering at leading Fintech startups or fast growing tech companies - Curious about Machine Learning and with strong fundamentals about data modelling for feature generation - Experienced with some of our tech stack, or are confident you can cross train and up skill quickly - Understand data structures, pipelines and big data processing for real-time consumption - Real world experience working with feature stores (in-house or vendor based e.g. Tecton) - Experienced with Cloud Native applications such as Google Cloud or similar e.g. AWS, Azure