Staff Data Platform Engineer — Scale Real-Time Telemetry

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

Benefits offered by this job

Equity

Benefits

Flexible work environment

Job summary

A tech startup focused on telemetry systems, headquartered in El Segundo, CA, seeks an experienced backend engineer to develop a scalable data platform. The role involves designing systems for high-frequency data ingestion and requires 7+ years in backend or data engineering. Candidates should be proficient with streaming technologies and relational databases. Competitive salary of $200,000 - $250,000 annually, plus equity and benefits. Open to relocating candidates or remote work from San Francisco.

Qualifications

• 7+ years of experience in backend or data engineering roles.
• Hands-on experience with streaming SQL systems.
• Experience with large-scale distributed systems.

Responsibilities

• Design and build scalable data ingestion platforms.
• Develop efficient database solutions for real-time analytics.
• Collaborate on engineering culture and standards.

Skills

Backend, infrastructure, or data engineering experience

Event-time-based stream processing

Proficiency with PostgreSQL and similar databases

Experience with distributed systems

Familiarity with Kubernetes and cloud tools

Strong communication skills

Education

Bachelor's degree in Computer Science or related field

Tools

Apache Flink

Kafka

Go

Rust

Job description

A tech startup focused on telemetry systems, headquartered in El Segundo, CA, seeks an experienced backend engineer to develop a scalable data platform. The role involves designing systems for high-frequency data ingestion and requires 7+ years in backend or data engineering. Candidates should be proficient with streaming technologies and relational databases. Competitive salary of $200,000 - $250,000 annually, plus equity and benefits. Open to relocating candidates or remote work from San Francisco.