Software Engineer, Data Platform Team

About Us

At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it's a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called "surges."

About the Role

The Data Platform team builds and operates the systems that centralize all of Coinbase's internal and third-party data, making it easy for teams across the company to access, process, and transform that data for analytics, machine learning, and powering end-user experiences. As an engineer on the team you'll contribute across the full spectrum of our systems, from foundational processing and storage to scalable pipelines to the frameworks, tools, and internal applications that make data easily and efficiently available.

This role sits between our platform and the analysts, data scientists, and data engineers who use it every day. You'll build the SDKs, self-service apps, and abstractions that let thousands of pipelines and analyses run without those users needing to understand the plumbing underneath.

Responsibilities

• Build clean software abstractions and modular, reusable components that let us support thousands of pipelines and beyond as we scale.
• Build and maintain data integration and processing SDKs used by data teams and internal services across Coinbase.
• Design and build self-service applications that let analysts and data scientists create, manage, and troubleshoot their own pipelines without deep platform knowledge.
• Build tooling for data security and observability: access controls across storage and access layers, data quality tracking, dataset cataloging and lineage, usage auditing.
• Work cross-functionally: consult upstream teams on structuring their databases to expose good data APIs, and give downstream data scientists well-designed, well-documented data models and metrics.
• Convert functional requests from data analysts, ML, and security & compliance into reusable, scalable patterns.

Requirements

• 3+ years of relevant work experience
• Strong Python or Java backend development skills.
• Fluent SQL for ETL/ELT, data quality, and analysis.
• Hands-on experience with Snowflake, Databricks, or similar.
• General experience working with data systems or data pipelines.
• Working knowledge of git, Linux, and Docker.
• Airflow, BI, and AI tool experience

Compensation

Annual base salary range (excluding equity and bonus): $152,405—$179,300 USD

Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).