The crypto super app for trading, predicting, and earning. Buy 90+ cryptos, trade prediction markets, and earn with staking and the Gemini Credit Card.
About the role
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.
What they're looking for
- 5+ years of experience in data engineering (or similar) roles
- Strong experience in ETL/ELT pipeline design, implementation, and optimization
- Deep expertise in Python and SQL writing production-quality, maintainable, testable code
- Experience with large-scale data warehouses (e.g. Databricks, BigQuery, Snowflake)
- Solid grounding in software engineering fundamentals, data structures, and systems thinking
- Hands-on experience in data modeling (dimensional modeling, normalization, schema design)
More about this role
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.
The Department: Data
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...
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