Data Engineer

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Company Overview

A fast-growing, early-stage healthcare technology company is focused on transforming healthcare through AI-powered care navigation. Founded by experienced leaders from major technology and healthcare organizations and backed by leading venture capital firms, the organization is expanding its platform across the U.S. and internationally, including partnerships with health systems in the MENA region.

Its platform simplifies care navigation by helping patients find the right doctors while enabling providers to focus on patients who need the most attention. The organization uses the latest AI innovations to power products such as provider matching, scheduling, referral recommendations, and AI voice agents.

The organization is seeking a Data Engineer to build and own scalable data management and extraction solutions. This role will focus on the full lifecycle of healthcare data, including data acquisition, storage, knowledge extraction, semantic projections, and user-facing tools for viewing and managing information.

The role sits at the intersection of data management, machine learning and AI research, and software engineering. The successful candidate will work closely with software engineers, medical experts, and other professionals to develop reliable systems that transform structured and unstructured healthcare data into actionable knowledge.

Key Responsibilities

• Build and own the core data management system.
• Develop data-fetching solutions through integrations with healthcare systems such as EPIC.
• Design flexible, scalable, and efficient storage solutions that comply with HIPAA requirements.
• Build user-facing interfaces for viewing, managing, updating, and searching data.
• Develop solutions to extract meaningful knowledge from real-world healthcare data.
• Build a knowledge extraction layer on top of raw data.
• Summarize key information from provider notes.
• Extract high-level, important properties from raw healthcare data.
• Develop systems capable of handling both structured and unstructured information.
• Work collaboratively with end users and internal experts to iteratively improve data solutions.

Required Qualifications

• 5+ years of experience in data engineering.
• Experience with data extraction and summarization.
• Experience working closely with end users and incorporating feedback into iterative product development.
• Strong backend engineering skills and systems-thinking capabilities.
• Ability to work effectively with ambiguous problems and define solutions from first principles.
• Experience turning novel technical approaches into testable prototypes.

Nice-to-Have Qualifications

• Experience with evaluation frameworks and quality measurement.
• Experience working with medical AI systems.
• Experience extracting text and data from PDFs and images.

Example Experience

• Building extensible data storage systems for medical data across multiple partners.
• Developing data extraction, summarization, and property-tagging systems for structured or unstructured text.
• Building user interfaces to display, update, and search information stored within underlying data systems.

Disclaimer

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