Senior Data Platform Engineer - Scale & Impact

Coinbase, Inc.; United States; Remote; USD 186,000 - 219,000; Full time

Job summary

Coinbase, Inc. is seeking a Senior Software Engineer for the Data Platform team to centralize internal and third-party data.

You will design, build, and operate data services across warehouses, lakes, and streaming systems, enabling analytics and AI-powered experiences across the company. You will partner with analysts, ML engineers, and security teams to create reusable data patterns and secure, observable data pipelines at scale.

Qualifications

• 5+ years in backend software engineering with hands-on data pipelines in production
• Proficient in Python, Go, or Java for backend services
• Experience with data infrastructure patterns and scale-out architectures
• Hands-on with SQL, Airflow, Spark, Kafka in production environments
• Experience with data security, access control, or data observability systems
• Responsible use of generative AI with human oversight to improve workflows

Responsibilities

• Own the design, development, and operation of foundational data services across cloud data warehouses, data lakes, orchestration, batch and streaming systems
• Build and maintain data integration and processing SDKs used by internal services to interact with the data platform at scale
• Deliver self-service applications for users to manage and monitor data pipelines on the platform
• Architect end-to-end data security, observability, access controls, lineage and data quality tracking
• Collaborate with data analysts, ML engineers, security and compliance teams to convert requirements into scalable patterns and assemble data microservices into platforms for business verticals

Skills

Backend development

Python

Go

Java

SQL

Data pipelines

Data security

Observability

Generative AI

Data processing

Tools

Airflow

Spark

Kafka

Job description

Coinbase, Inc. is seeking a Senior Software Engineer for the Data Platform team to centralize internal and third-party data.

You will design, build, and operate data services across warehouses, lakes, and streaming systems, enabling analytics and AI-powered experiences across the company. You will partner with analysts, ML engineers, and security teams to create reusable data patterns and secure, observable data pipelines at scale.