Staff Software Engineer, Data

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

At Sift, we’re redefining how modern machines are built, tested, and operated. Our platform gives engineers real-time observability over high-frequency telemetry—eliminating bottlenecks and enabling faster, more reliable development.

Sift was born from our work at SpaceX on Dragon, Falcon, Starlink, and Starship—where scaling telemetry, debugging flight systems, and ensuring mission reliability demanded new infrastructure. Founded by a team from SpaceX, Google, and Palantir, Sift is built for mission-critical systems where precision and scalability are non-negotiable.

As an early engineer focused on our data infrastructure, you won’t just write code—you’ll define core architecture and help scale a real-time telemetry platform from the ground up. You’ll work on complex backend systems designed to ingest, store, and serve millions of high-frequency data points per second, enabling faster iteration cycles for some of the most advanced engineering teams in the world.

In This Role, You'll:

• Design and build a horizontally scalable platform for ingesting millions of hardware sensor data points per second

• Develop durable, efficient database solutions to support real-time reads and large-scale analytics workloads

• Pioneer data architecture by integrating recent innovations in streaming and storage, including cloud-native and diskless designs

• Help define engineering culture, standards, and processes

• Collaborate closely with peers on architecture, design, code reviews, and scaling strategies
  

The Skillset You'll Bring:

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

• 7+ years of experience in backend, infrastructure, or data engineering roles

• Hands‑on experience with event‑time‑based stream processing or streaming SQL systems using tools like Apache Flink, Kafka Streams, Beam, or similar

• Proficiency with relational and time‑series databases like PostgreSQL, Druid, Pinot, TimescaleDB, or equivalent

• Experience with large‑scale distributed systems or low‑latency backend services, ideally written in Go, Rust, or Python

• Familiarity with DevOps and cloud infrastructure tools such as Kubernetes, Prometheus, ArgoCD, and Terraform

• Strong communication skills and a collaborative approach to problem-solving
  

Bonus Points:

• Familiarity with telemetry data from hardware systems, high‑throughput ingest pipelines, or columnar storage formats like Apache Arrow and Parquet

• Experience building resilient, performant systems that scale to billions of records

• Curiosity about new data paradigms and eagerness to evaluate and integrate emerging tools and techniques
  

Engineering at Sift:

You’ll join a tight‑knit team of world‑class engineers building foundational systems for next‑gen machines. Technologies you’ll work with may include:

• Frontend & Backend: Go, gRPC, PostgreSQL, Protobuf, React, TypeScript

• Data Infrastructure: Apache Arrow, DataFusion, Flink, Kafka, Parquet, Rust

• Ops & Tooling: AWS, Kubernetes, Docker, GitHub Actions, Prometheus, Argo CD, Grafana, Linux
  

Location:

Sift’s headquarters is in El Segundo, CA. We collaborate in person twice a week—on Mondays and Thursdays—and come together for a full week every two months. While we prefer team members to be local, we’re open to relocating candidates to LA or considering remote work from the San Francisco area for the right candidate.

Salary range: $200,000 - $250,000 per year. Plus equity and benefits.

Eligibility:

U.S. Person Required: Must be a U.S. citizen, lawful permanent resident, or protected individual such as an asylee or refugee in compliance with ITAR (International Traffic in Arms Regulations) / EAR (Export Administration Regulations) regulations.