1 день назад
Engineer, Data (Healthcare)
101 600 - 144 900$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineer, Data (Healthcare): Validating and operationalizing complex healthcare and EMR data for new client implementations on Azure-based platforms with an accent on data quality, interoperability, and client-facing technical communication. Focus on building validation workflows, supporting Azure data integrations, troubleshooting implementation issues, and applying AI and machine learning tools to regulated healthcare datasets.
Location: Remote across the United States; travel to and work onsite at client, temporary, or corporate office locations as business needs require.
Salary: $101,600–$144,900 per year, based on experience.
Company
provides technology-enabled revenue cycle management and healthcare data solutions for health systems, hospitals, and affiliated physician groups.
What you will do
- Serve as a healthcare data subject matter expert during new client implementations.
- Work directly with client stakeholders to validate data, troubleshoot issues, answer questions, and confirm successful implementations.
- Validate healthcare datasets for quality, integrity, and readiness for analytics and operational use.
- Translate healthcare and EMR requirements into technical solutions and support Azure-based integrations and pipelines.
- Collaborate with engineering, analytics, and implementation teams to resolve data issues and improve validation standards and documentation.
- Support the adoption of AI and machine learning tools for healthcare data validation and implementation.
Requirements
- 4+ years of relevant work experience and a bachelor’s degree or equivalent experience.
- Healthcare data experience, including healthcare-specific data structures and terminology.
- Hands-on experience with EMR systems; Meditech experience is strongly preferred.
- Familiarity with healthcare interoperability standards such as HL7.
- Experience in client-facing, consultative, or implementation-focused roles, with strong communication skills.
- Technical experience with SQL, data validation, Azure tools such as Data Factory or Databricks, and Python or equivalent scripting languages.
Nice to have
- Experience with Meditech.
- Interest in or exposure to AI and machine learning tools applied to healthcare data.
Culture & Benefits
- Remote work with business travel and onsite assignments as required.
- Healthcare, time off, retirement, and well-being benefits.
- Professional certification opportunities and tuition reimbursement.
- Collaboration, professional growth, innovation, and work-life flexibility.
- Quarterly and annual incentive programs.
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