Solutions Engineer - Healthcare Data & Automation

keeblerhealth

United States

On-site

USD 110,000 - 170,000

Full time

6 days ago
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Job summary

Keebler Health in the United States is seeking a Solutions Engineer to bridge client success, data operations, and engineering. You will manage data from intake to deliverables across pilots and full reviews.

You will coordinate across teams, run scripts and pipelines, and ensure outputs meet accuracy, security, and HIPAA standards. The role blends project management with hands-on data work in a fast-paced startup.

Qualifications

  • Proficiency in Python for data manipulation and automation.
  • Experience with healthcare data (claims, notes, labs).
  • Familiarity with Excel/CSVs and basic SQL.
  • Strong communication and project management skills.
  • Self-starter in a fast-paced startup environment.

Responsibilities

  • Own primary workflow for assigned clients, including pilots and live accounts.
  • Communicate data requirements, timelines, and outcomes with team and clients.
  • Ingest, clean, and process client data (spreadsheets, claims, notes).
  • Pull, transform, and validate datasets using Python, SQL, and related tools.
  • Develop scripts to automate recurring data prep and delivery.
  • Collaborate with Engineering to troubleshoot ingestion pipelines and QA outputs.
  • Ensure outputs meet accuracy, security, and HIPAA standards.
  • Deliver client results with SME input.
  • Track client health metrics to support renewals.
  • Help refine internal playbooks and templates as team scales.

Skills

Python
Healthcare data
Excel/CSVs
SQL
Communication & PM
Self-starter startup

Job description

Keebler Health in the United States is seeking a Solutions Engineer to bridge client success, data operations, and engineering. You will manage data from intake to deliverables across pilots and full reviews.

You will coordinate across teams, run scripts and pipelines, and ensure outputs meet accuracy, security, and HIPAA standards. The role blends project management with hands-on data work in a fast-paced startup.

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