Senior Data Platform Engineer — Self-Service Pipelines

Coinbase; Cheyenne (WY); Hybrid; USD 186,000 - 219,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

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 enabling thousands of pipelines while collaborating with analysts, data scientists, and engineers. Expect to work on data security, observability, and scalable data tooling.

The role emphasizes cross-functional impact across data processing, storage, and analytics. A strong background in backend development and data systems is essential for success.

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
• Design and build self-service applications for analysts and data scientists to manage pipelines
• Build tooling for data security and observability including access controls, data quality tracking, cataloging and lineage
• Collaborate with upstream teams to structure databases for good data APIs and downstream data models
• Translate requests from data analysts, ML, and security into scalable patterns

Skills

Python/Java Backend

SQL

Data pipelines

Git/Linux/Docker

Snowflake/Databricks

Airflow/BI/AI tools

Cross-functional collaboration

Tools

Snowflake

Databricks

Docker

Airflow

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 enabling thousands of pipelines while collaborating with analysts, data scientists, and engineers. Expect to work on data security, observability, and scalable data tooling.

The role emphasizes cross-functional impact across data processing, storage, and analytics. A strong background in backend development and data systems is essential for success.