Staff Software Engineer, Data

Benefits You’ll Love

• Competitive salary plus equity
• Comprehensive medical coverage with multiple plan options and employer-covered employee premiums
• Employer-paid dental insurance for employees and dependents
• Employer-paid vision insurance for employees and dependents
• Unlimited paid time off (subject to coordination and team approval)
• 401(k) retirement plan
• Free lunch on in-person days provided by a catering partner
• Office snacks, coffee, and regular food runs

Become a Key Player as a Staff Software Engineer, Data

You will help define and scale the organization’s real-time telemetry and data infrastructure to enable faster, more reliable engineering outcomes. You’ll partner with engineering peers and stakeholders to design durable, high-throughput systems that ingest and serve millions of sensor data points per second. This is a hybrid role (in-person collaboration roughly twice a week with periodic full-team on-site weeks).

Here’s How You’ll Make an Impact on the Team

• Design and build a horizontally scalable ingestion platform for 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 streaming and storage innovations, including cloud-native and diskless designs
• Define engineering culture, standards, and processes
• Collaborate on architecture, design, code reviews, and scaling strategies with peers

Here’s What You’ll Need to Be Successful in This 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 (e.g., Flink, Kafka Streams, Beam, or similar)
• Proficiency with relational and time-series databases (e.g., PostgreSQL, Druid, Pinot, TimescaleDB, or equivalent)
• Experience building large-scale distributed systems or low-latency backend services (experience with Go, Rust, or Python preferred)
• Familiarity with DevOps and cloud infrastructure tools such as Kubernetes, Prometheus, ArgoCD, and Terraform
• Strong communication skills and a collaborative approach to problem-solving

Here’s What Else Might Help You Out

• 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

Pay Range

$200,000 - $250,000/year

Ready to Make Your Mark?

This role may fill quickly. Submit your resume to be considered.