Staff Data Infra Engineer: Real-Time, Scalable Systems

Sift Stack, Inc.; California (MO); Hybrid; USD 200,000 - 260,000; Full time

Benefits offered by this job

Equity

Relocation assistance

Hybrid work model

Job summary

Sift is hiring for a senior backend/data engineer to design a scalable platform that ingests millions of hardware sensor data points per second and supports real-time analytics. You will work with Go, Rust, or Python and modern data stacks like PostgreSQL, Kafka, and Flink.

Join a team shaping data architecture and engineering culture, with hybrid work in the US and relocation options to LA or SF for the right candidate. Equity and strong compensation are offered.

Qualifications

• Bachelor’s degree in a STEM field.
• 7+ years of backend, infrastructure, or data engineering experience.
• Hands-on experience with event-time stream processing (Flink/Kafka Streams/Beam) or similar.
• Proficiency with relational and time-series databases (PostgreSQL/TimescaleDB/ Pinot).
• Experience with large-scale distributed systems or low-latency backends (Go/Rust/Python).
• Familiarity with cloud-native tools (Kubernetes, Prometheus, ArgoCD, Terraform).
• Strong communication and collaborative problem-solving skills.

Responsibilities

• Design and build a horizontally scalable platform for ingesting millions of hardware sensor data points per second.
• Develop durable, efficient database solutions for real-time reads and analytics workloads.
• Advance data architecture with streaming and storage innovations, including cloud-native and diskless designs.
• Help define engineering culture, standards, and processes.
• Collaborate on architecture, design reviews, and scaling strategies.

Skills

Backend engineering

Infrastructure design

Data streaming

SQL/DBs

Go/Rust/Python

DevOps/Cloud

Communication

Education

Bachelor’s degree in Computer Science, Engineering, Physics, or STEM

Tools

Kubernetes

Prometheus

ArgoCD

Terraform

PostgreSQL

Kafka

Apache Flink

Job description

Sift is hiring for a senior backend/data engineer to design a scalable platform that ingests millions of hardware sensor data points per second and supports real-time analytics. You will work with Go, Rust, or Python and modern data stacks like PostgreSQL, Kafka, and Flink.

Join a team shaping data architecture and engineering culture, with hybrid work in the US and relocation options to LA or SF for the right candidate. Equity and strong compensation are offered.