Senior Backend Engineer, Data Platform (Remote)

Phantom

United States

Remote

USD 140,000 - 220,000

Full time

9 days ago

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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 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.

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