Senior Software Engineer - Data Platform

Coinbase, Inc.
Honolulu, HI, United States
17 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$186,065 - $218,900
Working hours
Regular working hours

Tech stack

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
+9 more
Data Streaming Data Processing Apache Spark Backend Data Lakes Kubernetes Apache Kafka Data Pipelines Microservices

Job 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.

Requirements

  • 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.

Benefits & conditions

Pay Transparency Notice:* *Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).

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