Senior Data Platform Engineer – Defense Tech

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.

• 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

• 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, Num Py, Sci Py) plus Go, Rust or Type Script
• 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)

• Sensor, audio, video or telemetry data
• A labeling tool you built
• Robotics, autonomy or space data platforms

• $200k–$240k base + 0.25–0.5% equity
• A greenfield platform that feeds directly into the company's models

• 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