Backend Engineer (Fully Remote)

Unknown

United States

Remote

USD 180,000 - 320,000

Full time

35 hours ago
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Job summary

Unknown is a marketing technology platform that activates warehouse data, builds audiences, and measures performance. The team focuses on scalable, reliable backend systems and operates with a collaborative engineering culture from a remote-first setup across the United States.

This staff-level backend engineer role targets 6–15 years of experience, with a track record of growing responsibilities. You will design large-scale systems and lead data processing initiatives to support rapid growth

Qualifications

  • 6 to 15 years of backend engineering experience, including building systems at high-growth startups.
  • Staff-level experience with a record of growing responsibilities or promotions.
  • Strong systems design fundamentals and large-scale data processing experience.

Responsibilities

  • Own backend systems, focusing on scalability, reliability, and maintainability.
  • Improve data warehouse performance through query optimization and precomputed state.
  • Build analytics and experimentation features and real-time audience syncing.

Skills

Backend systems
Startup scale
Systems design
Data processing

Job description

  • Own backend systems, focusing on scalability, reliability, and maintainability.
  • Improve data warehouse performance through query optimization and precomputed state.
  • Build analytics and experimentation features and real-time audience syncing.

Requirements:

  • 6 to 15 years of backend engineering experience, including building systems at high-growth startups.
  • Staff-level experience with a record of growing responsibilities or promotions.
  • Strong systems design fundamentals and large-scale data processing experience.

Compensation:

  • Base salary range: $180,000 to $320,000 annually.
  • Visa sponsorship is not available.

Location:

  • Remote within the United States.
Unknown

A marketing technology platform helping customers activate warehouse data, build audiences, and measure performance. The company focuses on scalable, reliable systems and a collaborative engineering culture.

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