Senior Data Platform Engineer — Self-Service Pipelines

Coinbase; Lincoln (NE); Hybrid; USD 186,000 - 219,000; Full time

Job summary

Coinbase is hiring for a Data Engineering Platform Engineer on the Data Platform team. You will build SDKs, self-service apps, and abstractions enabling thousands of pipelines while collaborating with data analysts, data scientists, and engineers.

You will design scalable data processing solutions, improve data security and observability, and ensure robust data models and metrics across the platform to power analytics and end-user experiences.

Qualifications

• 7+ years of experience in data engineering or related roles.
• 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 to support 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 without deep platform knowledge.
• Build tooling for data security and observability: access controls, data quality tracking, cataloging, and lineage.
• Work cross-functionally: consult upstream teams on structuring databases to expose good data APIs, and provide well-documented data models and metrics.
• Translate functional requests from data analysts, ML, and security/compliance into reusable patterns.

Skills

Python/Java backend

SQL for ETL/ELT

Airflow/BI/AI tools

Git

Linux

Docker

Data pipelines

Tools

Snowflake

Databricks

Job description

Coinbase is hiring for a Data Engineering Platform Engineer on the Data Platform team. You will build SDKs, self-service apps, and abstractions enabling thousands of pipelines while collaborating with data analysts, data scientists, and engineers.

You will design scalable data processing solutions, improve data security and observability, and ensure robust data models and metrics across the platform to power analytics and end-user experiences.