Software Engineer, Data

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Join to apply for the Staff Software Engineer, Data role at Sift

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 Space

X on Dragon, Falcon, Starlink, and Starship—where scaling telemetry, debugging flight systems, and ensuring mission reliability demanded new infrastructure. Founded by a team from Space

X, 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

• 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 Postgre
  
  SQL, Druid, Pinot, Timescale
  
  DB, or equivalent
• Experience with large-scale distributed systems or low-latency backend services, ideally written in Go, Rust, or Python
• Familiarity with Dev Ops 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

• Frontend & Backend:
  Go, gRPC, Postgre
  
  SQL, Protobuf, React, Type Script
• Data Infrastructure:
  Apache Arrow, Data Fusion, Flink, Kafka, Parquet, Rust
• Ops & Tooling: AWS, Kubernetes, Docker, Git Hub Actions, Prometheus, Argo CD, Grafana, Linux

• Seniority level
  
  Mid-Senior level

• Employment type
  
  Full-time

• Job function
  
  Engineering and Information Technology
• Industries Software Development

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