Senior Backend Engineer (Data Platform)

Phantom; United States; Remote; USD 140,000 - 220,000; Full time

Job summary

Phantom is seeking a senior backend data platform engineer to design, build, and optimize scalable streaming data pipelines for on-chain data, price and related analytics. You will empower product teams with reliable live data access and robust processing.

You will own data quality, observability, and system scalability, collaborating with cross-functional teams to translate business needs into resilient platform solutions. This is a fully remote role across the United States and beyond.

Qualifications

• 5+ years of backend experience in large-scale, high-availability systems.
• Experience building and optimizing modern ETL pipelines and data engineering solutions.
• Proficiency with Go, Node.js, TypeScript, NestJS, Kafka, Redis, PostgreSQL; data quality and observability.

Responsibilities

• ETL Data Pipeline Design: Develop, maintain, and optimize scalable ETL pipelines using our modern data stack.
• Data Quality Observability: Drive initiatives to implement data quality frameworks and observability solutions.
• Architect for Scalability & Performance: Build systems capable of handling millions of requests per day, with high availability, low latency and fault tolerance.
• Data Modeling Schema Design: Design and maintain efficient data models and schemas that underpin our efforts.
• Cross-Functional Collaboration: Partner 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.

Skills

Backend development

ETL pipelines

Data quality

Observability

Web3 knowledge

Tools

Go

Node.js

TypeScript

NestJS

Kafka

Redis

PostgreSQL

Job description

Phantom is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide. Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 and CNBC and Statista's World's Top Fintech Companies 2026! We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm.

Role Description

As a core member of Phantom’s Data Platform 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. As an owner of a critical platform function, you’ll empower other product engineering teams at Phantom by providing access to rich, accurate, realtime on-chain 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.

Qualifications

• 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.
• Web3/Crypto Knowledge: Familiarity with on-chain data, wallet integrations, or decentralized application patterns.