Data Platform Engineer: Self-Service Pipelines & SDKs

Coinbase, Inc.; Harrisburg (Dauphin County); Hybrid; USD 186,000 - 219,000; Full time

Job summary

Coinbase, Inc. is seeking a Data Engineering Platform Engineer on the Data Platform team to build SDKs, self-service apps, and abstractions that empower thousands of pipelines and analyses across Coinbase.

You will operate between the platform and analysts, data scientists, and data engineers, delivering scalable tooling, data security, and observability to support analytics and ML initiatives across the data ecosystem.

Qualifications

• 7+ years of experience in data engineering or 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.
• Experience with data systems or data pipelines.
• Working knowledge of Git, Linux, and Docker.
• Experience with Airflow, BI tools, and AI tooling.

Responsibilities

• Build clean software abstractions and modular, reusable components to scale data pipelines.
• Develop 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.
• Create tooling for data security and observability: access controls, lineage, data quality tracking.
• Collaborate with upstream teams to expose well-structured data APIs and models.
• Translate analyst and security requirements into reusable, scalable data patterns.

Skills

Python/Java backend

SQL for ETL

Snowflake/Databricks

Git/Linux/Docker

Airflow/BI/AI tools

Job description

Coinbase, Inc. is seeking a Data Engineering Platform Engineer on the Data Platform team to build SDKs, self-service apps, and abstractions that empower thousands of pipelines and analyses across Coinbase.

You will operate between the platform and analysts, data scientists, and data engineers, delivering scalable tooling, data security, and observability to support analytics and ML initiatives across the data ecosystem.