Solutions Engineer

Summary

Keebler Health is building an operating system for value-based care that helps healthcare organizations use data to improve outcomes and reduce costs. The Solutions Engineer manages client data workflows from intake through validated delivery, coordinating with clients, engineering, and clinical subject matter experts while developing tools and processes that improve accuracy, compliance, and scalability.

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

Skills

• 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
• 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

Qualifications

Must Haves

• 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

Nice to Haves

• 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