Staff Software Engineer, Data

🕒 August 9, 2025

🏢🏡 San Francisco – Hybrid

💵 $200k - $250k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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Sift

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

🚀 Aerospace

Aerospace • Transportation • Defense

Sift is a unified observability platform designed for modern machines, specializing in data ingestion, storage, visualization, and review tailored for the complexities of hardware telemetry. It provides code-free insights and streamlines data management across the hardware lifecycle, critical for industries such as aerospace, transportation, and defense. Sift accelerates mission-critical engineering by simplifying telemetry processes, allowing organizations to focus on innovation and efficiency while leveraging real-time data insights.

📋 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.

🎯 Requirements

• 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 • 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

🏖️ Benefits

• Offers Equity • Offers Benefits