Delivery Engineer

🕒 April 11

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Keebler Health

WebsiteLinkedInAll Job Openings

1 - 10 employees

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

☁️ SaaS

Artificial Intelligence • Healthcare Insurance • SaaS

Keebler Health is an AI-first risk adjustment platform designed to improve accuracy and provide clinical decision support for risk-bearing healthcare organizations. The platform uses a next-generation transformer tailored for risk adjustment to surface HCC coding opportunities with transparency, confidence scores, evidence and counterfactual explanations, and to support CDI, coding, audit, and pre-visit planning workflows. It integrates diverse data sources (FHIR, HIE, faxes, and other messy data) and is delivered as an enterprise SaaS solution for health insurers and provider organizations.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Health insurance • Remote work options