Senior Software Engineer - Data Platform

🕒 June 8

🇺🇸 United States – Remote

💵 $186.1k - $218.9k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

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Logo of Coinbase

Coinbase

1001 - 5000 employees

Founded 2012

💼 Consulting

₿ Crypto

💸 Finance

💰 $21.4M Post-IPO Equity on 2022-11

Consulting • Crypto • Finance

Coinbase is a leading cryptocurrency exchange platform that allows individuals and institutions to buy, sell, and trade various crypto assets such as Bitcoin and Ethereum. The company offers advanced trading tools, institutional solutions, and a self-hosted wallet for storing and managing cryptocurrencies. With a strong focus on security and transparency, Coinbase provides a trusted platform used by millions globally. It supports various features including staking, earning rewards, and spending crypto through their cards. Additionally, Coinbase provides developer tools and APIs for building onchain applications, making it a comprehensive hub for engaging in the crypto economy.

📋 Description

• Design, develop, and operate foundational data services spanning cloud data warehouses, data lakes, Airflow orchestration, Spark and SQL batch processing, Kafka streaming, query federation, and real-time event aggregation stores • Build and maintain data integration and processing SDKs for internal services and product teams • Deliver self-service applications for managing, monitoring, and troubleshooting data pipelines • Architect end-to-end data security and observability services, including access controls, data quality tracking, dataset cataloging, lineage, and usage auditing • Partner with data analysts, ML engineers, and security and compliance teams to create reusable, scalable patterns and data microservices

🎯 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 • Ability to build services that process and serve data at scale • Experience with 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 • Responsible use of generative AI with human oversight • Eligible to work in the United States

🏖️ Benefits

• Equity eligibility • Bonus eligibility • Medical insurance • Dental insurance • Vision insurance • 401(k) • Quarterly in-person working sessions called “surges”

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