Data Engineer Intern

📍 World
USD 0 per year
INTERN
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Security @ 3 Python @ 3 SQL @ 3 GCP @ 3 Algorithms @ 6 Data Structures @ 6 Distributed Systems @ 3 Machine Learning @ 3 AWS @ 3 Azure @ 3 Communication @ 3 Data Engineering @ 3 Performance Optimization @ 3 Microservices @ 3 Data Analysis @ 3 CCPA @ 3 GDPR @ 3 API @ 3 LLM @ 3

Details

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. 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 on the Strategy, Execution, & Analytics team. As a Data Engineer Intern you'll collaborate closely with business partners in product and engineering to identify key opportunities and ensure accurate data interpretation. You will also work with the analytics engineering team to build scalable analytics models and systems that broaden insights across the company and within our products.

Responsibilities

  • Collaborate with analytics engineering to design and implement robust data pipelines, ensuring data integrity and accessibility for analytical and machine learning initiatives.
  • Assist in the development and maintenance of scalable data infrastructure, leveraging Python and cloud-based technologies.
  • Support senior engineers in integrating and managing data from various sources, including APIs.
  • Contribute to the implementation of LLM frameworks, focusing on efficient data flow and state machines.
  • Participate in analytical deep dives alongside senior team members to understand and address complex business problems, clearly communicating findings.
  • Learn and apply best practices in data engineering, including data governance, security, and performance optimization.

Requirements

  • Experience or coursework in programming, preferably in Python, with a strong understanding of data structures and algorithms.
  • Understanding of data analysis and database concepts, with experience using SQL.
  • Familiarity with or strong interest in AI, LLMs, and API integrations.
  • Understanding of software architecture principles and a keen interest in furthering this knowledge (microservices, distributed systems, cloud-native design, etc.).
  • An embodiment of Coinbase core cultural values: clear communication, positive energy, continuous learning, and efficient execution.

Nice to haves

  • Currently pursuing a degree or certificate in Computer Science, Data Engineering, or a related discipline.
  • Exposure to cloud platforms (e.g., AWS, GCP, Azure).
  • Eagerness to delve into complex data challenges and contribute to innovative solutions.

Pay

  • Pay Range: $50—$50 USD (Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed above.)

Benefits

  • Medical, dental, and vision plans; Health Savings Account contributions; disability and life insurance; 401(k) with company match; wellness stipend; mobile/internet reimbursement; connections stipend; volunteer time off; fertility counseling and benefits; generous time off/leave policy; option of getting paid in digital currency.

Additional information

  • This role is job #: P73387.
  • The posting includes information about equal opportunity, accommodations, global data privacy notices (GDPR/CCPA), and AI disclosure for pilot screening tools. Applicants are advised of application limits and how to request accommodations.