Senior Data Platform Engineer - SDKs & Self-Service Pipelines

Coinbase, Inc.; Montpelier (VT); Hybrid; USD 186,000 - 219,000; Full time

Benefits offered by this job

Remote-friendly

Equity and bonus eligibility

Medical, dental, vision, 401(k)

Job summary

Coinbase is seeking a Data Engineering Platform Engineer to join the Data Platform team. You will build SDKs, self-service apps, and abstractions that power thousands of pipelines and analyses, while keeping the plumbing accessible for analysts, data scientists, and engineers.

You’ll design scalable data processing components, ensure data security and observability, and collaborate with upstream teams to expose clean data APIs and well-documented data models.

Qualifications

• 7+ years 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.

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.
• Build tooling for data security and observability: access controls, data quality, cataloging, and lineage.
• Collaborate with upstream teams to structure databases for good data APIs and well-documented models.
• Convert requests from analysts, ML, and security into reusable patterns.

Skills

Python/Java backend

SQL for ETL/analysis

Data pipelines

Git/Linux/Docker

Airflow/BI/AI tooling

Cross-functional collaboration

7+ years experience

Tools

Snowflake

Databricks

BI tools

AI tooling

Job description

Coinbase is seeking a Data Engineering Platform Engineer to join the Data Platform team. You will build SDKs, self-service apps, and abstractions that power thousands of pipelines and analyses, while keeping the plumbing accessible for analysts, data scientists, and engineers.

You’ll design scalable data processing components, ensure data security and observability, and collaborate with upstream teams to expose clean data APIs and well-documented data models.