Staff Data Engineer – Real-Time Telemetry, Scalable

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

Job summary

A cutting-edge technology firm is seeking an early engineer to enhance its data infrastructure. The role involves designing scalable platforms for high-frequency telemetry, utilizing tools like PostgreSQL and Apache Flink. Candidates should have 7+ years of experience in backend or data engineering, and strong communication skills are crucial. The position offers a salary range of $200,000 - $250,000 per year along with equity and benefits, and allows for remote work from the San Francisco area.

Qualifications

• 7+ years of experience in backend, infrastructure, or data engineering roles.
• Hands-on experience with event-time-based stream processing.
• Experience with large-scale distributed systems or low-latency backend services.

Responsibilities

• Design and build a scalable platform for ingesting millions of data points.
• Develop efficient database solutions supporting real-time analytics.
• Collaborate with peers on architecture and design.

Skills

Backend and data engineering

Complex backend systems

Streaming SQL systems

Proficiency with relational databases

Experience with cloud infrastructure

Strong communication skills

Education

Bachelor's degree in Computer Science, Engineering, Physics, or similar

Tools

PostgreSQL

Apache Flink

Kafka

Kubernetes

Terraform

Job description

A cutting-edge technology firm is seeking an early engineer to enhance its data infrastructure. The role involves designing scalable platforms for high-frequency telemetry, utilizing tools like PostgreSQL and Apache Flink. Candidates should have 7+ years of experience in backend or data engineering, and strong communication skills are crucial. The position offers a salary range of $200,000 - $250,000 per year along with equity and benefits, and allows for remote work from the San Francisco area.