Fullstack Engineer (Data)

About the Company We build and operate the technology stack behind the largest memecoin launchpad in production today. Our systems are low latency, high throughput, live under constant load, and process hundreds of millions of dollars in daily volume. We ship to production daily. Bureaucracy is minimal. Individuals own their function end to end. About the Role We are looking for a Full Stack Engineer to join our data team. This is not a pure data engineering role and it is not a pure frontend role. You will build the systems, interfaces, and pipelines that turn raw on-chain and platform data into the operational intelligence the business runs on. You will own features end to end, from the pipeline that ingests the data to the dashboard a trader or analyst uses to act on it. If you are most comfortable in a narrow lane, this is not the right fit. If you want to own a product surface area that touches every part of the business, it is. Key Responsibilities - Design and build data pipelines that ingest, process, and serve high-throughput on-chain and off-chain data at low latency - Build internal tooling, dashboards, and analytics interfaces that surface actionable insights across trading, operations, and growth - Own the full lifecycle of data features: schema design, ingestion, transformation, storage, and the frontend experience that exposes it - Instrument platform events and user behaviour to support product analytics, growth experimentation, and business reporting - Work closely with trading, product, and operations teams to understand data needs and translate them into reliable, scalable systems - Maintain data quality, observability, and alerting so the business can trust what it sees - Identify and resolve performance bottlenecks across the data stack as volume scales Requirements - Strong full stack experience, comfortable across backend services, data infrastructure, and frontend interfaces - Proficiency in TypeScript and Python; experience with Node.js and React or Next.js - Experience building and maintaining data pipelines at scale, including ingestion, transformation, and orchestration - Solid understanding of SQL and experience with analytical data stores (PostgreSQL, BigQuery, ClickHouse, or similar) - Familiarity with streaming or event-driven architectures (Kafka, Redpanda, or similar) - Experience building internal tools, dashboards, or data products used by non-engineering teams - High ownership mindset: you identify problems before they are escalated and fix them without being asked Nice to Have - Experience with on-chain data: indexing transactions, decoding logs, working with RPC providers - Familiarity with crypto, DeFi, or high-frequency trading data - Experience with data visualisation libraries or BI tooling - Background in high-growth startups or fast-moving product teams What to Expect - In-person, full-time in New York - Intense pace, high expectations, immediate impact - Direct ownership of a critical product surface area - Exposure to systems processing hundreds of millions of dollars in daily volume