Senior Analytics Engineer

April 16

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Coinbase

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Coinbase is a leading cryptocurrency exchange platform that allows individuals and institutions to buy, sell, and trade various crypto assets such as Bitcoin and Ethereum. The company offers advanced trading tools, institutional solutions, and a self-hosted wallet for storing and managing cryptocurrencies. With a strong focus on security and transparency, Coinbase provides a trusted platform used by millions globally. It supports various features including staking, earning rewards, and spending crypto through their cards. Additionally, Coinbase provides developer tools and APIs for building onchain applications, making it a comprehensive hub for engaging in the crypto economy.

Digital Currency • Software • Payment Processing • Bitcoin • Technology

1001 - 5000 employees

Founded 2012

₿ Crypto

💸 Finance

💳 Fintech

💰 $21.4M Post-IPO Equity on 2022-11

📋 Description

•Ready to be pushed beyond your limits? •At Coinbase, our mission is to increase economic freedom in the world. •We're seeking a passionate candidate who believes in crypto and blockchain technology. •The Analytics Engineering team bridges gaps by building scalable data solutions. •We prioritize data quality, reliability, and usability to drive meaningful outcomes. •Use modern development and analytics tools to deliver value quickly.

🎯 Requirements

•Strong understanding of best practices for designing modular and reusable data models (e.g., star schemas, snowflake schemas). •Expertise in prompt engineering and design for LLMs (e.g., GPT). •Proficiency in advanced SQL techniques for data transformation, querying, and optimization. •Expertise in scripting and automation with experience in OOP. •Strong ability to translate technical concepts into business value for cross-functional stakeholders. •Experience building, maintaining, and optimizing ETL/ELT pipelines. •Proficiency in building polished dashboards using visualization tools. •Familiarity with version control (GitHub), CI/CD, and modern development workflows. •Knowledge of modern data lake/warehouse architectures. •Ability to understand and address business challenges through analytics engineering. •Familiarity with statistics and probability. •Bonus Skills: Experience with cloud platforms (e.g., AWS, GCP), Docker or Kubernetes.

🏖️ Benefits

•target bonus •target equity •benefits (including medical, dental, vision and 401(k))