Senior Data Engineer — AI-Driven Healthcare Data Platform

Sage Care Inc; Palo Alto (CA); On-site; USD 140,000 - 180,000; Full time

Job summary

Sage Care Inc. is a fast-growing healthcare startup building an AI-powered data platform to streamline provider matching, referrals, and patient charts. You’ll own the full data lifecycle from ingestion to presentation and help guide knowledge extraction.

The role sits at the intersection of data management, ML/AI research, and software engineering. Candidates should enjoy building scalable storage, robust fetch pipelines, and user-friendly interfaces with HIPAA compliance in mind.

Qualifications

• 5+ years of Data engineering experience.
• Experience with data extraction and summarization.
• Experience working with end users in iterative fashion gathering feedback along the way.
• Strong backend engineering skills and systems thinking.
• Experience turning novel techniques into testable prototypes.
• Experience with evaluation frameworks and quality measurement.
• Experience with medical AI systems.
• Experience with extraction of text/data from PDFs and Images.

Responsibilities

• Build and own the core data management system.
• Build Data fetch solutions via integration with systems like EPIC.
• Build flexible, scalable and HIPAA-compliant storage solutions.
• Build user facing UI to view and manage data.
• Extract knowledge from real data.
• Summarize key results from Provider notes.
• Extract high level important properties from raw data.

Skills

Data engineering

Data extraction

Summarization

Backend engineering

Systems thinking

End-user feedback

Job description

Sage Care Inc. is a fast-growing healthcare startup building an AI-powered data platform to streamline provider matching, referrals, and patient charts. You’ll own the full data lifecycle from ingestion to presentation and help guide knowledge extraction.

The role sits at the intersection of data management, ML/AI research, and software engineering. Candidates should enjoy building scalable storage, robust fetch pipelines, and user-friendly interfaces with HIPAA compliance in mind.