Data Platform Engineer — SDKs & Self-Service Pipelines

Coinbase, Inc.; Washington (District of Columbia); Hybrid; USD 186,000 - 219,000; Full time

Job summary

Coinbase, Inc. is seeking a Data Engineering Platform Engineer to join the Data Platform team in a hybrid, Washington, D.C. area role. You will build SDKs, self-service apps, and abstractions that empower thousands of data pipelines across the company.

The role sits between platform engineers and analysts, data scientists, and engineers. You will design scalable data processing, tooling for security and observability, and collaborate to expose strong data APIs and metrics.

Qualifications

• 7+ years of experience in data engineering or a related field.
• 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.

Responsibilities

• Build clean software abstractions and modular, reusable components for thousands of pipelines as we scale.
• Build and maintain data integration and processing SDKs used by data teams and internal services.
• Design and build self-service applications for analysts and data scientists to manage pipelines.
• Develop tooling for data security and observability: access controls, data quality, lineage, and auditing.
• Collaborate with upstream teams to structure databases for good data APIs and metrics for downstream users.
• Translate data requests into reusable, scalable patterns across platforms.

Skills

Python

Java

SQL

Airflow

Git

Linux

Docker

BI tools

AI tools

Tools

Snowflake

Databricks

Job description

Coinbase, Inc. is seeking a Data Engineering Platform Engineer to join the Data Platform team in a hybrid, Washington, D.C. area role. You will build SDKs, self-service apps, and abstractions that empower thousands of data pipelines across the company.

The role sits between platform engineers and analysts, data scientists, and engineers. You will design scalable data processing, tooling for security and observability, and collaborate to expose strong data APIs and metrics.