Staff Software Engineer, Data

We Love AI Jobs; Northern (KY); Hybrid; USD 200,000 - 260,000; Full time

Job summary

Sift, the data infrastructure platform for hardware engineering teams, is hiring a Staff Software Engineer to build a scalable data platform that ingests millions of hardware sensor data points per second and supports real-time reads and large-scale analytics.

You'll shape data architecture, engineering standards, and scaling strategies with peers, and collaborate on architecture, code reviews, and distributed systems using Go, Rust, PostgreSQL, and cloud-native tooling.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Physics, or another STEM discipline.
• 7+ years of backend, infrastructure, or data engineering experience preferred.
• Hands-on experience with streaming systems and distributed data platforms.

Responsibilities

• Design a scalable platform for ingesting millions of hardware sensor data points per second.
• Develop database solutions for real-time reads and large-scale analytics workloads.
• Shape data architecture, engineering standards, and scaling strategies with peers.

Skills

Apache Flink

Kafka Streams

PostgreSQL

Druid

Pinot

Go

Rust

Kubernetes

Education

Bachelor's Degree

Job description

# Staff Software Engineer, DataSiftMarina Del Rey, CA (Hybrid)Full-time$200,000 – $260,000 / yearUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageBuild a scalable data platform that ingests hardware sensor data and supports real-time reads and large-scale analytics. The role also involves shaping data architecture and engineering practices alongside peers working on streaming and storage systems.* Permanent* Hybrid* 7+ years* Bachelor's Degree### Skills and expertiseApache FlinkKafka StreamsPostgreSQLDruidPinotGoRustKubernetes### Key responsibilities* Design a scalable platform for ingesting millions of hardware sensor data points per second.* Develop database solutions for real-time reads and large-scale analytics workloads.* Shape data architecture, engineering standards, and scaling strategies with peers.## How this job comparesCompared with 40 open staff data jobs on October 10, 2026.Pay: This job pays $200K to $260K a year. The 27 open staff data jobs that publish US pay start at $194K on average, so this job starts in line with them.Similar open jobs: We Love AI Jobs lists 40 open staff data jobs at 32 companies.Remote work: This job is hybrid. 15 of the 40 staff data jobs (38%) are remote.AI in this role: Low. The company works with AI, but AI is a small part of this role's daily work. This role builds streaming and storage infrastructure for hardware telemetry, not AI models or products. The posting’s AI reference is broad company context rather than a stated daily responsibility.## Full descriptionAbout SiftSift is the data infrastructure platform for hardware engineering teams. Sift turns high-frequency telemetry into engineering insights for mission-critical systems. Teams use Sift to build and operate rockets, satellites, autonomous vehicles, energy systems, defense platforms, and more.Founded by former SpaceX engineers who built the tools behind Dragon and Starlink, Sift is building the data infrastructure to herald the AI era for physical systems.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 strategiesThe 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-solvingBonus 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 techniquesEngineering 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, LinuxLocation:Sift’s headquarters is in Marina Del Rey, CA (Next to LAX). We collaborate in person twice a week—on Mondays and Thursdays—and come together for a full week every two months. We are open to relocating candidates to LA or working from our San Francisco office for the right candidate.Salary range: $200,000 - $260,000 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.