Description
Ready to be pushed beyond what you think you’re capable of?
At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform , and with it, the future global financial system.
The Data Platform team builds and operates systems to centralize all of Coinbase's internal and third-party data, making it easy for teams across the company to access, process, and transform that data for analytics, machine learning, and powering end-user experiences. As an engineer on the team you will contribute to the full spectrum of our systems, from managing foundational processing and data storage, to building and maintaining scalable pipelines, to developing frameworks, tools, and internal applications to make that data easily and efficiently available to other teams and systems.
Responsibilities:
- Design, build, and operate foundational data-heavy services: storage (cloud data warehouse, data lake), orchestration (Airflow), batch processing (Spark, SQL), streaming services (Kafka), query federation and caching, time-series db, graph db, and real-time event aggregation stores.
- Build and maintain data integration & process SDKs for use by internal services and product teams throughout Coinbase.
- Design and build self-service applications to empower users to manage and troubleshoot their own data pipelines.
- Design and build services for end-to-end data security and data observability: managing access controls, tracking data quality, cataloging datasets and their lineage, usage auditing.
- Convert functional requests from data analysts, ML, and security & compliance into reusable and scalable patterns.
Requirements:
- At least 5+ years of experience in software engineering.
- Strong Python, Go, or Java backend development skills.
- Experience working with data systems or data pipelines.
- Familiarity with design patterns such as scale-out, caching, key/value, and columnar.
- Leverage SQL, Python, Airflow, and BI expertise to analyze data for operational insights.
- Ability to responsibly use generative AI tools and copilots.
Nice to Have:
- Crypto-forward experience, including familiarity with onchain activity.