Backend Engineer, Data Platform

Phantom is the modern money app used by tens of millions around the world. As a core member of Phantom’s Blockchain Data team, you will design, build, and optimize our streaming blockchain data platform to enable high-quality, scalable ingestion, transformation, and delivery of token, price and spam data.

Responsibilities:

• ETL & Data Pipeline Design: Develop, maintain, and optimize scalable ETL pipelines using our modern data stack. You’ll be responsible for sourcing, transforming, and integrating data from on-chain sources
• Data Quality & Observability: Drive initiatives to implement data quality frameworks and observability solutions that ensure the accuracy, freshness, and reliability of data across all pipelines
• Architect for Scalability & Performance: Build systems capable of handling millions of requests per day, with a focus on high availability, low latency, and strong fault tolerance, in service of other engineering teams’ data access needs at Phantom
• Data Modeling & Schema Design: Design and maintain efficient data models and schemas that underpin our efforts
• Cross-Functional Collaboration: Partner closely with product, design, and other engineering teams to translate business requirements into scalable backend platform solutions
• Team building: Work with the team to create and foster a culture of raising the bar with each new hire

Requirements:

• 5+ Years of Backend Experience: Demonstrated success in building large-scale, high-availability systems
• Deep experience building and optimizing modern ETL pipelines and data engineering solutions in high-growth environments
• Experience with the languages/frameworks in our stack (e.g. Go, Node.js, TypeScript, NestJS, Kafka, redis, PostgreSQL)
• Demonstrated experience implementing data quality frameworks along with observability and monitoring solutions
• Ability to work both independently and collaboratively within a lean team structure
• Web3/Crypto Knowledge: Familiarity with on-chain data, wallet integrations, or decentralized application patterns is strongly preferred