Staff Backend Data Systems Engineer (Remote)

Sift Stack, Inc.; San Francisco (CA); Hybrid; USD 200,000 - 250,000; Full time

Benefits offered by this job

Equity

Remote work flexibility

Collaborative team environment

Job summary

A leading technology company in California is seeking an experienced engineer to work on their real-time telemetry platform. This role involves designing scalable data infrastructure and collaborating with a talented team to build resilient systems. The ideal candidate must have over 7 years of experience in backend or data engineering, proficiency in event stream processing, and will thrive in a collaborative environment. Salary is between $200,000 - $250,000 annually, plus equity and benefits.

Qualifications

• 7+ years of experience in backend, infrastructure, or data engineering roles.
• Hands-on experience with event-time-based stream processing.
• Strong communication skills and a collaborative approach to problem-solving.

Responsibilities

• Design and build a horizontally scalable platform for ingesting data points.
• Develop database solutions to support real-time reads.
• Collaborate closely with peers on architecture and scaling strategies.

Skills

Event-time-based stream processing

Relational databases

Data engineering

Distributed systems

DevOps

Collaborative problem-solving

Education

Bachelor's degree in Computer Science, Engineering, Physics, or another STEM discipline

Tools

Apache Kafka

Kubernetes

PostgreSQL

Rust

Go

Job description

A leading technology company in California is seeking an experienced engineer to work on their real-time telemetry platform. This role involves designing scalable data infrastructure and collaborating with a talented team to build resilient systems. The ideal candidate must have over 7 years of experience in backend or data engineering, proficiency in event stream processing, and will thrive in a collaborative environment. Salary is between $200,000 - $250,000 annually, plus equity and benefits.