AI Data Engineer - Remote

Overview

As an AI Data Engineer, you will tackle critical problems in AI by building infrastructure for high-quality training data, focusing on efficiency and privacy.

In Short

• Architect and implement scalable, automatable data pipelines.
• Optimize storage and retrieval layers for cost and performance.
• Extract and process unique data types such as clinical notes and video metadata.
• Collaborate with a small engineering team to deliver product impact.
• Work cross-functionally to support AI and product use cases in healthcare and media.
• 5+ years of experience in data engineering, preferably in startups.
• Fluency with Python and/or Java in production-grade systems.
• Experience with modern data infrastructure and big data.
• Comfort working independently with limited specifications.
• Bonus: experience with data privacy and healthcare compliance.

Requirements

• 5+ years of experience in data engineering, ideally including startup environments.
• Fluency with Python and/or Java in production-grade systems.
• Experience with modern data infrastructure and orchestration tools.
• Comfort working independently on projects with limited specifications.
• Bonus: experience with data privacy, healthcare compliance (HIPAA, etc.), or media data pipelines.

Benefits

• Competitive compensation and meaningful equity.
• Work on technically rich challenges involving unstructured data.
• Remote-first environment with motivated teammates.
• Autonomy to lead projects from vague requirements to structured outcomes.
• A front-row seat at a strategically important problem in AI.