Senior Data Engineer

HQ · Remotefull timeRemote

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senior

$145k–$175k

H1B: no

Sagecare Senior Data Engineer at Sagecare builds and owns scalable, HIPAA-compliant data management systems and knowledge extraction layers for healthcare data. The role includes integrating with systems like EPIC and developing user-facing UI for data management.

Responsibilities

Our products rely on management and semantic projection of data like Provider (doctor) information, Referrals, Patient charts and history, workflow SOPs, etc. The goal is to fetch this data from our partners, store it, extract high level semantic projections (knowledge) from the data and help power our key products including Provider Matching, Scheduling, Referral Recommendation engine and AI voice agents. In this role, you will own the full lifecycle of the data including User facing UI to view the data along with ability to update it when needed.
This role sits at the intersection of Data management, ML/AI research and software engineering. We’re looking for someone who can help build out a scalable data management and extraction solution. You will work closely with engineers who work on the matching software, medical experts and professionals who can help guide the knowledge extraction.
Build and own the core data management system.
Build Data fetch solutions via integration with systems like EPIC, etc.
Build flexible, scalable and efficient storage solutions that are HIPAA compliant
Build user facing UI to view and manage data
Extract knowledge from real data
Build knowledge extraction layer on top of the raw data
Summarize key results from Provider notes
Extract high level important properties from raw data

Qualification

5+ years of Data engineering experienceExperience with medical AI systemsExample Things you’ve DoneBuilt data extractionBuilt UI to display

Required

5+ years of Data engineering experience.
Experience working with data extraction and summarization.
Experience working closely with end users in iterative fashion gathering feedback along the way.
Strong backend engineering skills and systems thinking.
Experience working with ambiguous problems and defining solutions from first principles.
Experience turning novel techniques into testable prototypes.

Preferred

Experience with evaluation frameworks and quality measurement.
Experience with medical AI systems.
Experience with extraction of text/data from PDFs and Images.
Example Things you’ve Done
Built extensible data storage systems for medical data across multiple partners.
Built data extraction, summarization, property tagging systems on top of structured or unstructured text.
Built UI to display, update and search on top of underlying storage.