Senior Software Engineer - Data Platform
Coinbase, Inc.
Lansing, MI, 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
Job source
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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