> Markdown version of [/jobs/ext/3846703-staff-software-engineer-data](https://www.wearedevelopers.com/jobs/ext/3846703-staff-software-engineer-data). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer, Data - **Company:** Sift - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Amazon Web Services, Apache HTTP Server, Cloud Computing, Databases, Information Engineering, Data Infrastructure, Linux, DevOps, Distributed Systems, Github, Protocol Buffers, Python (Programming Language), PostgreSQL, Octopus Deploy, Prometheus, SQL Databases, Data Streaming, TypeScript, Rust (Programming Language), Parquet, ReactJS, Grafana, Backend, Kubernetes, Information Technology, Druid, Low Latency, Apache Flink, Apache Kafka, Front End Software Development, Terraform, Stream Processing, Grpc, Docker - **Published:** October 20, 2026 - **Apply:** https://www.juju.com/job/23_E33273AF2C3EECCF15BB15481C7A0ACE ## About the Role 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