Senior Data Platform Engineer - Defense Tech

Built a high-throughput data platform from a blank page? Be the first dedicated data-platform engineer at a defense-tech company. A Series A defense-tech company deploys autonomous sensor networks. You'd define how raw sensor and telemetry data becomes clean, labeled datasets for perception and foundation models, on a greenfield platform. The team is small and comes from leading space and defense-tech companies. They're hiring 2 senior data platform engineers. What you'll own The data platform, from ingestion to labeled datasets, built from scratch Backfill and reprocessing frameworks, data-quality metrics and alerting Time sync, lineage and geospatial context for sensor data Tooling for labeling and dataset creation Must-haves You've architected a high-throughput data pipeline or platform from a blank page, not only run an existing one Python data stack (PyArrow, Polars, Pandas, NumPy, SciPy) plus Go, Rust or TypeScript Deploying pipelines on a cloud platform (AWS preferred) 5+ years of experience (roughly 5–8; startup years count extra) US citizenship (required because of the defense work) Bonus points Sensor, audio, video or telemetry data A labeling tool you built Robotics, autonomy or space data platforms What's in it for you $200k–$240k base + 0.25–0.5% equity A greenfield platform that feeds directly into the company's models Good to know Full-time, remote in the US; Los Angeles is strongly preferred, with occasional visits to the office in the LA area Process: 30-minute screen with the talent lead → technical interview with the CTO (system design at block-diagram level, conversational, no coding pad) → on-site in the LA area → offer #J-18808-Ljbffr Rnb Consultancy