Data Engineer V (Healthcare)

Location: United States; hybrid work from home; US citizens only

Salary: $165,830–$243,141.80 per year, depending on geographic market, knowledge, skills, and experience. Additional incentive compensation, equity awards, and ESPP may be available.

Company

hirify.global Technology operates enterprise AI infrastructure, data platforms, software integration, cloud environments, and cyber resilience for regulated and mission-critical organizations in more than 120 countries.

What you will do

• Lead and mentor a data engineering pod, prioritize workload, and drive on-time Agile delivery.
• Set standards for EDW pipelines, data models, semantic layers, batch and streaming architecture, CI/CD, source management, version control, QA, and AI-assisted development.
• Direct AI/RAG data infrastructure, including embedding strategy, vector-store selection, corpus curation, and AI-specific risk controls.
• Translate business and clinical stakeholder needs into roadmaps covering pipelines, data products, and AI/RAG capabilities.
• Own pipeline metrics, SLA/SLO tracking, KPI reporting, root-cause analysis, data-quality remediation, documentation, SOPs, escalations, and on-call coordination.
• Coordinate with data science, security, and compliance teams and contribute to cloud and AI/vector-database cost planning.

Requirements

• US citizenship is required.
• 10+ years of experience, including 8–12 years in technology with significant data-centric leadership.
• 6–8 years of hands-on experience architecting data solutions on a cloud platform.
• 2+ years of formally leading engineers or technical workstreams.
• Bachelor’s degree in Computer Science, a related technical field, or equivalent hands-on experience.
• Expert-level SQL, data modeling, and semantic-layer design experience.
• Experience setting standards for batch and streaming architecture, including Spark, Airflow, Databricks or Snowflake, and CI/CD practices.
• Extensive healthcare-domain experience, including EMR/EHR work with Epic and/or Cerner, partnership with healthcare providers or clinical operations teams, and experience translating clinical needs into scalable data solutions.
• Ability to understand and apply healthcare data standards and compliance frameworks, including HIPAA, HL7, and FHIR.

Nice to have

• Cloud Professional Data Engineer or ML Engineer certification.
• Experience setting standards for LLM/RAG data architecture at scale.
• Additional experience with HIPAA, HL7, and FHIR compliance frameworks.

Culture & Benefits

• Hybrid work-from-home arrangement in the United States.
• Annual bonus or incentive compensation opportunities may be available.
• Potential equity awards and Employee Stock Purchase Plan participation.
• Inclusive equal employment opportunity environment with workplace accommodations available for disabilities or special needs.