Principal Data Engineer

<p><strong>About the Company</strong></p> <p>Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of simple, reliable, and secure crypto products and services to individuals and institutions in over 70 countries. Our mission is to unlock the next era of financial, creative, and personal freedom by providing trusted access to the decentralized future. We envision a world where crypto reshapes the global financial system, internet, and money to create greater choice, independence, and opportunity for all — bridging traditional finance with the emerging cryptoeconomy in a way that is more open, fair, and secure. As a publicly traded company, Gemini is poised to accelerate this vision with greater scale, reach, and impact.</p> <p><span style="font-weight: 400;"><strong>The Department: Data</strong></span></p> <p><span style="font-weight: 400;">At Gemini, our Data Team is the engine that powers insight, innovation, and trust across the company. We bring together world-class data engineers, platform engineers, machine learning engineers, analytics engineers, and data scientists — all working in harmony to transform raw information into secure, reliable, and actionable intelligence. From building scalable pipelines and platforms, to enabling cutting-edge machine learning, to ensuring governance and cost efficiency, we deliver the foundation for smarter decisions and breakthrough products. We thrive at the intersection of crypto, technology, and finance, and we’re united by a shared mission: to unlock the full potential of Gemini’s data to drive growth, efficiency, and customer impact.</span></p> <p><span style="font-weight: 400;"><strong>The Role:</strong> <strong>Principal Data Engineer</strong></span></p> <p>The Data Engineering Team owns the ingestion and transformation of data from production databases, streams, and external data sources into our data warehouse. As a Principal Data Engineer, you will set the technical direction for how data is modeled, processed, and delivered across the organization. You will partner closely with product, analytics, ML, finance, operations, and engineering teams to move, transform, and model data reliably, with observability, resilience, and agility. You’ll lead by example through design excellence, mentoring, and technical leadership, ensuring our data architecture is scalable, governed, and ready for the next generation of analytics and machine learning at Gemini. </p> <p>This is a senior individual contributor role — highly technical, strategic, and cross-functional — where you’ll influence the design of data systems that underpin key decisions and customer-facing products across Gemini.</p> <p><em><span style="font-weight: 400;">This role is required to be in person twice a week at either our New York City, NY or San Francisco, CA office.</span></em></p> <p><span style="font-weight: 400;"><strong>Responsibilities:</strong></span></p> <ul> <li>Define and drive the long-term vision for data architecture, modeling, and transformation at Gemini</li> <li>Establish standards for data reliability, observability, and quality across all pipelines and data products using languages and frameworks such as Python, SQL, Spark, Flink, Beam, or equivalents</li> <li>Partner with Staff and Senior Data Engineers, Platform Engineers, and Analytics Engineers to unify how data is produced, stored, and consumed</li> <li>Lead large-scale design initiatives that span multiple teams and systems, ensuring maintainability, performance, and security</li> <li>Partner with data scientists, ML engineers, analysts, and product teams to understand data requirements, define SLAs, and deliver coherent data products that others can self-serve</li> <li>Establish data quality, validation, observability, and monitoring frameworks (data auditing, alerting, anomaly detection, data lineage)</li> <li>Investigate and resolve complex production issues: root cause analysis, pe ... (truncated, view full listing at source)