Data Engineer Intern

Coinbase

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CA
Employment
Intern
Posted
13 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $163k
$110k $209k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,750–$199,325.

Based on 240 similar postings.

Employer

About Coinbase

Coinbase Global is a publicly traded cryptocurrency exchange platform where consumers can buy, sell, and store digital currencies including Bitcoin, Ethereum, and hundreds of other cryptocurrencies. Industry: Cryptocurrency Exchange & Financial Technology

Coinbase currently has 94 open roles on FindRole.

Listed pay typically runs $191,250–$218,900 across 85 roles with salary data.

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At a glance

TL;DR · Data Engineer Intern

As a Data Engineer Intern within the Platform product group, you will partner with analytics engineering to build and maintain the data pipelines and infrastructure that power insights across the organization. You will work alongside senior engineers to ensure data accuracy, scalability, and accessibility for analytical and machine learning use cases. Your daily responsibilities include building pipelines, supporting scalable data infrastructure, and integrating data from internal systems and external APIs. You will utilize Python, SQL, and cloud-based technologies like AWS, GCP, or Azure to solve technical problems. The role requires proficiency in data structures, algorithms, and relational database concepts. You will also apply data engineering best practices regarding governance, security, and performance optimization while exploring software architecture concepts like microservices and distributed systems.

What does a Data Engineer earn in California?

Median $187700 from 41 postings across 21 companies.

See salary data

What you'll do

  • Build and maintain data pipelines to ensure data integrity for analytics and machine learning workloads.
  • Develop scalable data infrastructure using Python and cloud-based technologies.
  • Integrate and manage data from internal systems and external APIs.
  • Perform analytical deep dives and translate findings into clear documentation and recommendations.
  • Apply data engineering best practices regarding governance, security, and performance optimization.
  • Utilize generative AI to improve workflow efficiency, cost, and output quality.

What we're looking for

  • Completed or in-progress coursework in Computer Science, Data Engineering, or equivalent experience.
  • Demonstrated programming proficiency in Python, including data structures and algorithms.
  • Hands-on experience writing SQL for data analysis and working with relational database concepts.
  • Familiarity with cloud platforms such as AWS, GCP, or Azure.
  • Demonstrated interest in AI, LLMs, or API integrations.
  • Exposure to software architecture concepts like microservices, distributed systems, or cloud-native design through coursework or projects.
  • Ability to utilize generative AI responsibly to deliver business-ready outputs and improve workflow efficiency.

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