Delivery Engineer

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 a