Delivery Engineer

Keebler Health

New York, New York, United States

New York, New York, United States

Über

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.
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New York, New York, United States

Sprachkenntnisse

English

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