Analytics Engineer Intern

Coinbase Global • New York, NY

80d • $50 - $50 • Onsite

About The Position

Ready to be pushed beyond what you think you're capable of? At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems. Our work culture is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. This is a 12-week internship during summer 2026. The Analytics Engineering team bridges the gap between data engineering, data science, and business analytics by building scalable, impactful data solutions. We transform raw data into actionable insights with robust pipelines, well-designed data models, and tools that empower stakeholders across the organization to make data-driven decisions. Our team combines technical expertise with a deep understanding of the business to unlock the full potential of our data. We prioritize data quality, reliability, and usability, ensuring stakeholders can rely on our data to drive meaningful outcomes.

Requirements

• Experience developing data pipelines using Python.
• Experience building robust data transformations using SQL.
• Experience or coursework in data analytics and storytelling.
• An embodiment of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.

Nice To Haves

• Experience or coursework in software engineering, data science, or other related quantitative field (e.g., physics, economics, math, etc.).
• Experience with ETL/ELT pipelines in an enterprise cloud platform (AWS, GCP).

Responsibilities

• Model complex business data into digestible data products using data modeling best practices.
• Develop, refactor, and maintain key data pipelines, ensuring a high degree of code and data quality.
• Proactively solve problems for data developers (analytics engineering, data science) and data consumers (data science, product/reporting teams) by identifying and using best-fit tools.
• Employ cutting edge LLMs to streamline data development, modeling, and analytics.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• 401(k)
• Bonus eligibility

What This Job Offers

• Career Level: Intern
• Industry: Securities, Commodity Contracts, and Other Financial Investments and Related Activities