About Keebler Health

Keebler Health is building the operating system for value-based care. Our mission is to help risk-bearing healthcare organizations thrive in value-based arrangements by unlocking the full power of their data. We empower leading primary care groups, ACOs, and health plans to act on real-time insights that improve outcomes, reduce costs, and fuel sustainable growth.

We're a fast-moving, high-performing team, and we’re looking for people who share our bias toward speed, urgency, and excellence. As a member of the team, you won’t just write code or stay in your lane—you’ll shape critical systems, innovate quickly, and set a high bar for a product that supports the future of U.S. healthcare.

Role Overview

As a Delivery Engineer, you will sit at the intersection of client success, data operations, and engineering. You’ll manage the flow of data from client intake through to clean, validated deliverables — ensuring each engagement (from a 50-patient pilot to a full population review) runs smoothly, transparently, and with measurable impact.

You’ll be both a project manager and a technical operator: coordinating across internal teams, running scripts and pipelines, and ensuring our outputs meet Keebler’s high standards for accuracy, security, and clinical integrity.

Responsibilities

Serve as the primary workflow owner for assigned clients, including pilots and live accounts.
Effectively communicate data requirements, timelines, and expected outcomes with the team and clients.
Ingest, clean, and process client-submitted data (e.g., spreadsheets, claims, encounter notes, lab results).
Pull, transform, and validate datasets using Python, SQL, and related tools.
Develop scripts and lightweight tools to automate recurring data preparation and delivery workflows.
Partner with Engineering to troubleshoot ingestion pipelines, QA outputs, and improve automation.
Ensure all deliverables meet internal standards for accuracy, compliance, and HIPAA security.
Package and deliver client results, working with clinical SMEs to add interpretive context.
Track and report client health metrics to support renewals and continuous improvement.
Help refine and improve internal delivery playbooks, templates, and documentation as the team scales.

Qualifications

Proficiency in Python for data manipulation and automation (pandas, requests, etc.).
Experience working with healthcare data (claims, clinical notes, lab results, or EHR exports).
Familiarity with Excel/CSVs, and basic SQL for data extraction and validation.
Strong communication and project management skills; able to translate between technical and clinical contexts.
Must be a self-starter who is comfortable working in a fast-paced, startup environment with evolving specs and limited documentation.

Bonus Points For

Experience in health tech startups or consulting.
Familiarity with EHR systems and value-based care models.
Exposure to risk adjustment, RAF scoring, or clinical data quality workflows.

What Success Looks Like

Efficiently executing and delivering results for multiple independent workflows at once.
Internal teams utilize your scripts and tools to scale operations efficiently.
Pilots demonstrate the speed and comprehensiveness of Keebler’s review process — creating clear “wow” moments.
Data integrity and compliance are consistently flawless.
Client satisfaction and renewal rates remain high.

Whether you apply through the website, or email careers@keebler.health please include:

A highly personalized, bold, and hilarious “Keebler Health–style” introduction that grabs attention - outgoing, fun, and uniquely you (not uniquely ChatGPT). Think: confident, high-energy, slightly irreverent (but still professional), with a smart nod to healthcare, value-based care, and the fact that we’re building something real.
Your resume
A link to your LinkedIn profile

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Keebler Health

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