Remote-First Senior Data Platform Engineer

Coinbase, Inc.; Helena (MT); Hybrid; USD 186,000 - 219,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401(k)

Job summary

Coinbase is seeking a Senior Software Engineer for the Data Platform team, building systems that centralize internal and third-party data for analytics, ML, and user experiences. You will own data services across warehouses, lakes, Airflow, Spark, and Kafka, while ensuring security and observability at scale.

You will collaborate with analysts, ML engineers, and security/compliance teams to deliver reusable patterns and data microservices that power critical business verticals.

Qualifications

• 5+ years of backend software engineering experience
• Proficiency in Python, Go, or Java for backend development
• Experience with data infrastructure patterns and scale-out architectures
• Hands-on experience with SQL, Airflow, Spark, Kafka in production
• Experience with data security, access control, data observability, lineage or quality monitoring
• Responsible use of generative AI with human oversight

Responsibilities

• Own design, development, and operation of foundational data services across data warehouses, data lakes, orchestration, batch and streaming processing
• Build and maintain data integration and processing SDKs for internal services
• Deliver self-service applications to manage and monitor data pipelines
• Architect end-to-end data security, access controls, cataloging, lineage and usage auditing
• Collaborate with data analysts, ML engineers, security and compliance teams to create scalable data patterns

Skills

Backend engineering

Python/Go/Java

Data pipelines

Airflow/Spark/Kafka

Data security/Observability

Generative AI governance

Tools

Airflow

Spark

Kafka

SQL

Job description

Coinbase is seeking a Senior Software Engineer for the Data Platform team, building systems that centralize internal and third-party data for analytics, ML, and user experiences. You will own data services across warehouses, lakes, Airflow, Spark, and Kafka, while ensuring security and observability at scale.

You will collaborate with analysts, ML engineers, and security/compliance teams to deliver reusable patterns and data microservices that power critical business verticals.