Data Engineer Intern

Coinbase

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: San Francisco, CA
Employment: Intern
Posted: 2 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $166k

$115k most similar roles pay here $214k

This listing doesn't post a salary. Most similar roles pay $126,750–$204,650.

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 58 open roles on FindRole.

Listed pay typically runs $215,177–$253,150 across 50 roles with salary data.

Most-posted roles

View all roles at Coinbase

At a glance

TL;DR · Data Engineer Intern

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As a Data Engineer Intern within the Platform product group, you will partner with analytics engineering to build and maintain data pipelines and infrastructure that power insights across the organization. You will work alongside senior engineers and cross-functional partners to ensure data accuracy, scalability, and accessibility for analytical and machine learning use cases. Your daily responsibilities include managing data from internal systems and external APIs while contributing to analytical deep dives and technical documentation. The role requires proficiency in Python, including data structures and algorithms, as well as experience writing SQL for relational database concepts. You will utilize cloud-based technologies like AWS, GCP, or Azure while navigating software architecture concepts such as microservices and distributed systems. This position focuses on solving infrastructure challenges to support machine learning workloads and integrating various data sources into a cohesive system.

What does a Data Engineer earn in California?

Median $199800 from 35 postings across 19 companies.

See salary data

Skills

Python SQL AWS GCP Azure Data Pipelines Microservices Distributed Systems API Integration LLMs Data Governance Cloud-native Design Data Engineering

What you'll do

Build and maintain data pipelines to ensure integrity for analytics and machine learning workloads.
Develop scalable data infrastructure using Python and cloud-based technologies.
Integrate and manage data from multiple sources including internal systems and external APIs.
Perform analytical deep dives to translate findings into clear documentation and recommendations.
Apply data engineering best practices regarding governance, security, and performance optimization.
Utilize generative AI tools responsibly to improve workflow efficiency 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 while maintaining human oversight for business-ready outputs.

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