Data Engineer – FHIR Expertise

Job not on LinkedIn

🔥 9 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Spoon

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🎯 Recruiter

👥 HR Tech

🤝 B2B

Recruitment • HR Tech • B2B

Spoon is not described in the supplied content. The provided text appears to be for a different company (Walter), which operates a remote staffing/recruitment service that connects businesses with talent in Latin America and the Philippines. Walter handles sourcing, screening, interviews, onboarding and ongoing support, offers a 12-month replacement guarantee, and targets roles such as developers, customer service reps, sales reps and back-office positions. The service is marketed to businesses seeking cost-efficient remote hires and emphasizes saving up to ~80% compared to North American salaries.

📋 Description

• Build and Enhance Medical AI Assistants data: Develop AI solutions that optimize patient recommendations, medical policy integrations, and support health system submissions data. • Data Management & Integration: Spearhead data extraction and management, with a focus on big data and cloud solutions. • FHIR Audit & Data Mapping: Conduct FHIR audits and establish data mapping to streamline clinical workflows. • Experience with HL7 • JSON

🎯 Requirements

• Expertise in Data Engineering & Management and handling large datasets. • FHIR (Fast Healthcare Interoperability Resources) proficiency. • Solid background in Healthcare IT and Clinical Workflow expertise. • Previous experience on Epic Clarity. • Nice-to-have Skills • Experience with Health Systems Management and Nursing Operations Support. • Knowledge of Insurance Companies Integration with medical policy recommendations. • Familiarity with developing smart apps aimed at improving patient history and data accessibility.

🏖️ Benefits

• Commitment Type: Full-time • Duration: 3 - 6 months • Location: US-based • Start Date: Immediate start