Senior Data Platform Engineer — Self-Service Pipelines & SDKs

Coinbase, Inc.; Denver (CO); Hybrid; USD 186,000 - 219,000; Full time

Job summary

Coinbase is seeking a Data Engineering Platform Engineer to join the Data Platform team in the United States. You will help build the systems that centralize data for analytics, machine learning, and powering end-user experiences.

You’ll create SDKs, self-service apps, and abstractions that let thousands of pipelines run without deep plumbing knowledge, while adding data security, lineage, and observability tooling.

Qualifications

• 7+ years of experience in data engineering or platform roles.
• Strong Python or Java backend development.
• Fluent SQL for ETL/ELT, data quality, and analysis.
• Experience with Snowflake, Databricks, or similar.
• Knowledge of Git, Linux, and Docker.
• Airflow, BI, and AI tool experience.

Responsibilities

• Build clean software abstractions and modular components to support thousands of pipelines and scale.
• Develop data integration and processing SDKs used by data teams and internal services.
• Design self-service applications that let analysts and data scientists create and manage pipelines without deep platform knowledge.
• Build tooling for data security and observability: access controls, data quality tracking, lineage, and auditing.
• Collaborate cross-functionally: advise upstream teams on structuring databases to expose good data APIs, and provide well-documented data models.
• Convert functional requests into reusable, scalable patterns.

Skills

Python/Java

SQL

Airflow/BI/AI tools

Git/Linux/Docker

Data pipelines

Experience 7+ years

Backend development

Tools

Snowflake

Databricks

Docker

Linux

Job description

Coinbase is seeking a Data Engineering Platform Engineer to join the Data Platform team in the United States. You will help build the systems that centralize data for analytics, machine learning, and powering end-user experiences.

You’ll create SDKs, self-service apps, and abstractions that let thousands of pipelines run without deep plumbing knowledge, while adding data security, lineage, and observability tooling.