Senior Data Platform Engineer: Scalable Pipelines & SDKs

Coinbase, Inc.; City of Albany (NY); Hybrid; USD 186,000 - 219,000; Full time

Job summary

Coinbase is seeking a Data Engineering Platform Engineer to join the Data Platform team. You will build abstractions and self-service apps that empower thousands of pipelines and analyses, interfacing with analysts, data scientists, and engineers. Expect cross-functional collaboration and scalable data tooling.

You will design backend systems, ensure data quality, and create reusable patterns that enable secure, observable data pipelines across the organization.

Qualifications

• 7+ years of experience in data engineering or a related field.
• Strong Python or Java backend development.
• Fluent SQL for ETL/ELT, data quality, and analysis.
• Hands-on experience with Snowflake, Databricks, or similar.
• Experience with data systems or data pipelines.
• Git, Linux, and Docker familiarity.
• Airflow, BI, and AI tooling experience.

Responsibilities

• Build clean software abstractions and modular, reusable components 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, auditing.
• Collaborate cross-functionally to structure databases for good data APIs and well-documented data models.
• Translate requests from analysts, ML, and security/compliance into reusable patterns.

Skills

7+ years exp

Python/Java

SQL proficiency

Snowflake

Databricks

Git

Linux

Docker

Airflow

BI tools

AI tooling

Tools

Snowflake

Databricks

Git

Linux

Docker

Airflow

BI tools

AI tools

Job description

Coinbase is seeking a Data Engineering Platform Engineer to join the Data Platform team. You will build abstractions and self-service apps that empower thousands of pipelines and analyses, interfacing with analysts, data scientists, and engineers. Expect cross-functional collaboration and scalable data tooling.

You will design backend systems, ensure data quality, and create reusable patterns that enable secure, observable data pipelines across the organization.