Remote-First Data Platform Engineer: SDKs & Pipelines

Coinbase, Inc.; Concord (NH); Remote; USD 186,000 - 219,000; Full time

Benefits offered by this job

Equity

Bonus eligibility

Medical benefits

Dental benefits

Vision benefits

401(k)

Job summary

Coinbase, Inc. is seeking a Data Engineering Platform Engineer to join the Data Platform team.

You will build self-service data tooling, SDKs, and abstractions that empower thousands of pipelines across the company, while collaborating with analysts, data scientists, and engineers. Expect to design scalable data processing and security tooling, optimize data APIs, and convert analyst requirements into reusable patterns.

Qualifications

• 7+ years experience in data engineering or similar 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 for 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.
• Build tooling for data security and observability: access controls, data quality tracking, cataloging and lineage, usage auditing.
• Collaborate cross-functionally to structure databases for good data APIs and well-designed data models.

Skills

Python/Java backend

SQL (Fluent)

Snowflake

Databricks

Git

Linux

Docker

Airflow

BI/AI tooling

Tools

Snowflake

Databricks

Job description

Coinbase, Inc. is seeking a Data Engineering Platform Engineer to join the Data Platform team.

You will build self-service data tooling, SDKs, and abstractions that empower thousands of pipelines across the company, while collaborating with analysts, data scientists, and engineers. Expect to design scalable data processing and security tooling, optimize data APIs, and convert analyst requirements into reusable patterns.