Data Engineer

Tempo is a layer-1 blockchain purpose-built for stablecoins and real-world payments, born from Stripes experience in global payments and Paradigms expertise in crypto tech. Tempos payment-first design provides a scalable, low-cost predictable backbone that meets the needs of high-volume payment use cases. Our goal is to move money reliably, cheaply, and at scale. Our north star is simplicity for users: fintechs, traditional banks, merchants, platforms, and anyone else looking to move their payments into the 21st century. We're building Tempo with design partners who are global leaders in AI, e-commerce, and financial services: Anthropic, Coupang, Deutsche Bank, DoorDash, Mercury, Nubank, OpenAI, Revolut, Shopify, Standard Chartered, Visa, and more. Were a team of crypto-optimists, building the infrastructure needed to bring real, substantial economic flows onchain. Our team primarily works in-person out of our San Francisco and NYC offices. We like to move fast and swing for the fences join us! The Role As Tempos first data engineer, youll architect and operate the core data infrastructure that powers analytics across the Tempo blockchain. Youll design ETL pipelines, index on-chain data, and ensure the reliability and scalability of our data systems. Your work will make blockchain data accessible fueling analytics, dashboards, and developer tools that power Tempos ecosystem. Youll relate data from stablecoins on blockchains today and existing payment systems worldwide to help us produce meaningful metrics and reports to move payments on-chain. Responsibilities • Create, from scratch, Tempos data pipelines and infrastructure using modern technologies and techniques, and onboard the company onto this infrastructure. • Design and build scalable data pipelines to extract, transform, and load blockchain data (transactions, validator metrics, token activity, smart contracts, etc.) • Develop and maintain data warehouses, ETLs, and APIs to support analytics, explorers, and ecosystem partners. • Work closely with protocol engineers to ensure accurate instrumentation of on-chain metrics. • Optimize data ingestion and storage systems for real-time and historical blockchain data. • Collaborate with data analysts/scientists and researchers to operationalize models and insights. • Build or contribute to open-source tools for blockchain data processing (e.g., indexers, query layers, analytics SDKs). • Ensure data quality, security, and scalability across Tempos data infrastructure. Qualifications • 5+ years of experience as a Data Engineer, Analytics Engineer, or similar role. • Strong proficiency in Python, SQL, and data pipeline frameworks. • Experience building data infrastructure pipelines from scratch • Experience with cloud data warehouses and data orchestration. • Familiarity with blockchain data structures, RPC APIs, and node querying. • Experience designing real-time or large-scale data systems. • Knowledge of EVM smart contract platforms and indexing architectures. • Strong understanding of data modeling, schema design, and performance optimization. Attributes • Razor-sharp thinker with a strong focus on optimal systems for reliability and performance. • Hands-on and proactive; comfortable owning infrastructure end-to-end. • Curious about blockchain internals and distributed systems. • Organized, detail-oriented, and execution-focused. • Collaborative mindset with an open-source ethos. #J-18808-Ljbffr