[Remote] Senior Software Engineer - Data Platform
Note: The job is a remote job and is open to candidates in USA. Coinbase is a leading company in the financial technology sector, dedicated to increasing economic freedom. They are seeking a Senior Software Engineer for their Data Platform team to build systems that centralize data for analytics and machine learning, ensuring efficient data access and processing across the organization.
Responsibilities
- Own the design, development, and operation of foundational data services spanning cloud data warehouses, data lakes, orchestration (Airflow), batch processing (Spark, SQL), streaming (Kafka), query federation, and real-time event aggregation stores
- Build and maintain data integration and processing SDKs used by internal services and product teams throughout Coinbase to interact with the data platform reliably at scale
- Design and deliver self-service applications that empower users to manage, monitor, and troubleshoot their own data pipelines running on our platform infrastructure
- Architect end-to-end data security and observability services, including access controls across multiple storage and access layers, data quality tracking, dataset cataloging, lineage, and usage auditing
- Partner with data analysts, ML engineers, and security and compliance teams to convert functional requests into reusable, scalable patterns and assemble data microservices into platforms for critical business verticals
Skills
- 5+ years of experience in backend software engineering, with hands-on experience building and operating data systems or data pipelines in production
- Proficiency in Python, Go, or Java for backend development, with demonstrated ability to build services that process and serve data at scale
- Experience with data infrastructure patterns including scale-out architectures, caching layers, key/value stores, and columnar storage systems
- Hands-on experience with SQL, Airflow, Spark, Kafka, or similar data processing and orchestration frameworks in production environments
- Familiarity with data security, access control, or data observability systems (cataloging, lineage, quality monitoring) is a plus
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality
Benefits
- Equity and bonus eligibility
- Medical
- Dental
- Vision
- 401(k)
Company Overview