Data Engineer

Position Overview

We are looking for an exceptional data engineer to join a high‑impact team working at the intersection of hardware, software, and machine learning. This is a zero‑to‑one role: you will design, build, and ship production‑grade data infrastructure for a cutting‑edge sensor system—from the first line of code to full deployment—in a startup‑like environment with world‑class rigor and quality.

• Own the full data lifecycle: raw sensor collection, automated processing, validation, curation, and delivery of clean, ML‑ready datasets.
• Collaborate closely with data collection engineers, ML researchers, and product teams.
• Make critical architectural decisions under real‑time pressure with incomplete information.
• Build systems that have never been built before and set a high engineering bar.

• Python
• AWS
• Image data handling
• Data validation

• Experience working in ML research where pipelines evolve rapidly.
• Familiarity with AWS‑based data storage and processing.
• Experience with remote compute environments where local storage is insufficient.
• Exposure to ML modeling concepts—experience with LLMs or ML model development is a strong plus.
• Experience working with external vendors for data collection or labeling.
• Strong communication skills to translate algorithm needs into executable data protocols.

Contract position based out of Cupertino, CA. Hybrid workplace.

• Pay range: $75.00 – $80.00 per hour.
• Benefits applicable to this temporary role may include:
  • Medical, dental & vision
  • Critical illness, accident, and hospital cover
  • 401(k) retirement plan (pre‑tax and Roth post‑tax contributions available)
  • Life insurance (voluntary life & AD&D for employee and dependents)
  • Short‑term and long‑term disability
  • Health spending account (HSA)
  • Transportation benefits
  • Employee assistance program
  • Time off/leave (PTO, vacation, or sick leave)

This position is anticipated to close on May 26, 2026.

The company is an equal opportunity employer and considers all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.