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# Senior Software Engineer - Data Platform

- **Company:** Coinbase, Inc.
- **Location:** Olympia, WA, United States
- **Experience:** Expert
- **Salary:** $186,065 - $218,900
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Airflow, Batch Processing, Cloud Database, Data as a Services, Data Infrastructure, Data Security, Data Systems, Python (Programming Language), DataOps, Software Engineering, SQL Databases, Data Streaming, Data Processing, Apache Spark, Backend, Data Lakes, Kubernetes, Apache Kafka, Data Pipelines, Microservices
- **Published:** October 26, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3467387525&tx=KJ909PFK&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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.
 * Experience with data security, access control, or data observability systems, including cataloging, lineage, or quality monitoring.
 * Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

## Description

* 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.
 * 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.