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, databases like PostgreSQL/Druid, and languages like Go/Rust/Python.
200k – 250kMarina del Rey, CALos Angeles, CASan Francisco, 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
Compensation
- Salary range: $200,000 - $250,000 per year
- Plus equity and benefits
Skills
Apache FlinkKafka StreamsApache BeamPostgresDruidPinotTimescaledbGoRustPythonKubernetesPrometheusArgo CDTerraformApache Arrow
Similar roles
Data Engineering jobsMember of Technical Staff — ML Data Infra
Build and operate large-scale multimodal data pipelines for AI avatar model training. Design production-grade systems for petabyte-scale video, audio, and text data.
Staff Data Engineer
As a Staff Data Engineer, you will architect and scale Imprint's data platform, optimizing infrastructure and driving technical excellence. You will build critical financial reporting pipelines, establish data standards, and mentor other engineers.
Senior Staff Data Infrastructure Engineer
Lead and contribute to architectural initiatives for data infrastructure in FedRAMP environments. This role focuses on scalability, cost-efficiency, operational excellence, and security compliance for data-intensive systems.
Staff Data Architect
Jellyfish is seeking a Staff/Lead Data Architect to design, automate, and scale their next-generation data platform. This role involves maturing core data models, automating environment boundaries, and driving advanced observability and cost-attribution into the data pipeline architecture.