Data Engineer
Palo Alto, CA, United States
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingOur products rely on management and semantic projection of data like Provider (doctor) information, Referrals, Patient charts and history, workflow SOPs, etc.
This role sits at the intersection of Data management, ML/AI research and software engineering.
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.
Build and own the core data management system.
Build knowledge extraction layer on top of the raw data
From the employer’s posting
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.
About the Role 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.
What You'll Do Build and own the core data management system. Build Data fetch solutions via integration with systems like EPIC, etc.
Extract knowledge from real data Build knowledge extraction layer on top of the raw data Summarize key results from Provider notes
About Sagecare
Sage Care is a fast-growing, early-stage healthcare startup founded by exceptional leaders from Apple, Uber, Carbon Health and backed by top-tier venture capital (General Catalyst, Chelsea Clinton).
In the employer’s words · Read in context
Job description
About Sage Care
Sage Care is a fast-growing, early-stage healthcare startup founded by exceptional leaders from Apple, Uber, Carbon Health and backed by top-tier venture capital (General Catalyst, Chelsea Clinton). With a strong customer pipeline, Sage Care is transforming healthcare by simplifying care navigation.
Our platform makes it easier for patients to find the right doctor and helps providers focus on those who need them most through harnessing the latest AI innovations.
Building on our successful collaborations with health systems across the U.S., we have expanded internationally to the MENA region. We are now partnering with health systems there to deploy our AI-powered care navigation platform.
About the Role
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.
What You'll Do
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
What We're Looking For
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.
Nice to Have
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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Palo Alto, CA, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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- Status in our records
- Active
- First seen by us
- Aug 18, 2026
- Recorded sightings
- 20
- Last seen by us
- Oct 11, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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