Staff Data Engineer
Staff Data Engineer building and scaling data pipelines, integrations, and workflow orchestration systems. Owns architecture, IaC strategy, and technical leadership across large-scale data infrastructure.
Staff Software Engineer, Data
Build scalable data infrastructure to ingest and process millions of hardware telemetry data points per second. Requires 7+ years in data engineering, streaming systems like Flink/Kafka, and databases like PostgreSQL.
200k – 250kSan Francisco, CAMarina Del Rey, CAData EngineeringHybrid7+ YOE
About the role
Responsibilities
- 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
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
Nice-to-Haves
- 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
Technologies
- 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
Compensation
- Salary range: $200,000 - $250,000 per year. Plus equity and benefits.
Skills
GoRustPythonApache FlinkKafkaPostgresKubernetesTerraformPrometheusApache Arrow
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