Senior Data Platform Engineer - Defense Tech

• 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, * 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

When you apply, please include

• Your CV (PDF), your LinkedIn URL, and GitHub if you have one
• The data platform you stood up from scratch: volumes, latency and lineage
• Where you’re based, and whether occasional visits to the LA area work for you
• Confirmation that you’re a US citizen, and how soon you could start
• Your base salary expectation, your notice period, and any other interview processes you’re in

• 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)