Job Description
ABOUT KNIT HEALTH
Knit Health is building a novel clinical foundation model to improve the way
healthcare is delivered. We combine expertise in AI with deep clinical knowledge
to develop safe, trustworthy systems that improve care, expand access, and
reduce waste. Knit is led by a founding team from the University of California
Berkeley who have developed a novel AI architecture which learns to reason like
physicians. We’re now closing the loop and using our novel foundation model,
together with frontier clinical LLMs, to build a next generation clinical
intelligence platform for providers. We are venture backed and have partnered
with multiple US-based health systems and data providers.
WHAT YOU’LL DO
As a Data Engineer II, you'll be a foundational member of a small, high-impact
team building the data backbone of our clinical AI platform. Your work will
directly enable the research, products, and decisions that shape where the
company goes next.
* Design, build, and maintain the data pipelines and infrastructure that power
both our product and research applications — from ingestion through
analytics-ready delivery
* Partner closely with our data science and ML teams to integrate, structure,
and scale the stack as our needs evolve
* Help establish and uphold standards for data quality, testing, documentation,
and observability across the stack
* Navigate the complex and often ambiguous landscape of healthcare data,
bringing clarity, organization, and thoughtful structure to messy problem
spaces
* Contribute to architectural decisions that will shape how we work with data
at scale
MINIMUM QUALIFICATIONS
We're looking for candidates who meet one of the following:
* 2-5 years of professional experience specifically in data engineering
(building data pipelines, ETL/ELT workflows, data modeling, and warehouse
architectures)
* An advanced degree (MS or PhD) in data science, computer science, computer
engineering, or an adjacent technical discipline, paired with demonstrable
data engineering project work
* A combination of internships, research, and substantial project experience
that clearly demonstrates equivalent data engineering capability
Regardless of path, you should be able to demonstrate proficiency in SQL and
Python and hands-on experience with at least one major cloud platform (Azure,
AWS, etc.).
WHAT WE'RE LOOKING FOR
* Engineering fundamentals: comfort with version control (Git), code review,
testing, and the habits of writing code others can read, maintain, and trust
* SQL: strong command of joins, window functions, CTEs, and aggregate logic; a
basic understanding of query performance and when to worry about it
* Python: fluency writing clean, modular code for data manipulation,
transformation, and scripting; familiarity with common libraries such as
pandas and at least one testing framework (pytest or similar)
* ML data processing: An understanding of basic machine learning and AI
concepts as well as an understanding of the typical AI/ML data workflows.
* Spark / distributed processing: working familiarity with PySpark and an
understanding of how distributed compute differs from single-machine
workflows
* Cloud platforms: hands-on experience with at least one major cloud provider;
Azure and Databricks preferred, but strong experience with AWS or GCP
translates
* Data engineering concepts: a solid grounding in batch and streaming
processing, data modeling, orchestration, data quality, governance, and
database fundamentals (both relational and columnar)
* Communication: the ability to explain technical tradeoffs clearly, in writing
and in conversation, to both engineers and non-engineers
* Healthcare: Prior exposure to healthcare data or the healthcare domain more
broadly
NICE-TO-HAVES
- Familiarity with healthcare interoperability standards such as FHIR and HL7
- Awareness of healthcare privacy and compliance frameworks (HIPAA, BAAs, and
similar)
* An eye for compute cost structures and the instincts to build with efficiency
in mind
YOUR FIRST YEAR
In your first few months, you'll get deep exposure to our existing data
infrastructure, our healthcare data sources, and the research and product
workflows your pipelines support. By the end of your first year, we'd expect you
to:
* Own meaningful pieces of our data platform end-to-end, from design through
production
* Lead the integration of a new data source or domain, including its modeling,
quality safeguards, and downstream interfaces
* Have raised the bar somewhere — whether in testing, documentation, cost,
reliability, or developer experience
* Be a trusted collaborator to our data science and ML teams, shaping how they
work with data rather than just responding to requests
TEAM STRUCTURE
- You'll report to our Director of Data Engineering
- You'll work alongside the broader data science team on shared infrastructure,
tooling, and data problems
* You'll partner closely with our core model AI team, i.e. the engineers and
researchers who consume your data for model training, in a tight feedback
loop where data quality directly shapes model performance
* You'll have real visibility into how your work lands downstream and the
impact it has on foundation model training
SALARY RANGE
Knit Health offers a competitive compensation package that includes base salary,
equity, and opportunities for advancement. The starting salary range for the
Data Engineer II is approximately $110,000 to $135,000 per year.
BENEFITS
Generous benefits for full-time employees include: medical, dental, and vision
coverage with 100% of premiums paid for employees and dependents (full coverage
for dental, vision, and our Gold medical plan; employees may choose to buy up to
Platinum); coverage begins on the first day of employment. Additional benefits
include a 401(k) plan and 24 days of PTO annually.
FINAL NOTES
Please note this job description is not designed to cover or contain a
comprehensive listing of activities, duties or responsibilities that are
required of the employee for this job. Duties, responsibilities, and activities
may change at any time with or without notice.
Knit Health is an equal opportunity employer and is committed to a diverse
workplace. People from diverse racial, ethnic and cultural backgrounds, women,
LGBTQ+ individuals, and persons with disabilities are highly encouraged to
apply.
Job Tags
Full time