出海雷达

数据架构师(医疗保健)| 全面远程办公 - 最高35万美元薪资

Data Architect (Healthcare) | Fully WFH - Up to 350K Salary

开发工程限定地区(需当地身份)
公司RecruitNest Consulting
薪资250,000 - 350,000/年 PHP
工作地点Philippines
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间12 天前
数据来源Himalayas
前往 Himalayas 查看并投递 →
注意地域限制:该职位明确限定在 Philippines 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

职位要求:

  • 职位类型:经验丰富的高级/主管级
  • 就业类型:全职;独立承包商(直接雇佣)
  • 工作安排与地点:完全远程办公 - 菲律宾
  • 工作时间:工作日;夜班(与EST有4-5小时重叠)
  • 行业:医疗健康

职位简介:
我们正在寻找一位高度主动且具备独立工作能力的高级数据工程师,加入我们客户的医疗数据团队。在此职位中,您将设计并实现可扩展的数据解决方案,整合多种电子健康记录(EHR)和临床系统。您将全程负责项目,从选择技术栈、设计数据管道、构建统一的数据仓库到在最少监督下交付稳健的解决方案。该职位适合具备扎实医疗领域知识、数据工程背景,并能独立推动战略目标达成的候选人。准备好提升您的技能吗?立即申请!
主要职责:

  • 为多个EHR和临床系统设计并实现可扩展的数据采集框架
  • 构建可重复使用的连接器、集成模式以及高可靠性和数据质量的ETL或ELT管道
  • 设计并维护一个统一且灵活的数据仓库架构,以支持多样且不断变化的数据源
  • 在数据工作流中实现监控、日志记录和错误处理
  • 全程负责项目,包括技术设计、实施、文档编写和交付
  • 与工程领导合作定义里程碑、时间线和依赖关系
  • 主动选择合适的技术栈,并为复杂的医疗数据挑战设计解决方案

任职要求:

  • 5年以上实际数据工程经验,包括复杂的数据集成项目
  • 熟悉现代数据仓库技术,如Snowflake、Redshift、BigQuery或类似工具
  • 精通基于API的数据采集和自定义数据连接器的开发
  • 熟练使用当代数据管道工具和编排框架
  • 必须具备医疗数据或医疗科技平台的经验
  • 展现出主导思维,能够独立工作并推动重大项目完成

优先条件:

  • 具备设计多租户或多源数据采集框架的经验
  • 具有统一或通用数据建模的背景
  • 接触过云基础设施以及数据平台的CI或CD实践
查看英文原文

Job Expectations:

  • Position Type: Experienced - Senior/Lead
  • Employment Type: Full-Time; Independent Contractor (Direct Hire)
  • Work Setup & Location: Fully WFH - Philippines
  • Work Schedule: Weekdays; Night Shift (4-5 hours overlap with EST)
  • Industry: Healthcare

About the Job:
We are looking for a highly motivated and independent Senior Data Engineer to join our client's healthcare data team. In this role, you will design and implement scalable data solutions that integrate diverse electronic health record (EHR) and clinical systems. You will own projects end-to-end, from selecting the tech stack, designing data pipelines, and building a unified data warehouse to delivering robust solutions with minimal oversight. This role is ideal for candidates with strong healthcare domain knowledge, a data engineering background, and the ability to drive outcomes independently against strategic goals. Ready to take your skills to the next level? Apply now!
Key Responsibilities:

  • Design and implement scalable data ingestion frameworks for multiple EHR and clinical systems
  • Build reusable connectors, integration patterns, and ETL or ELT pipelines with high reliability and data quality
  • Architect and maintain a unified, flexible data warehouse schema that supports diverse and evolving data sources
  • Implement monitoring, logging, and error-handling across data workflows
  • Own projects end-to-end, including technical design, implementation, documentation, and delivery
  • Partner with engineering leadership to define milestones, timelines, and dependencies
  • Take initiative in selecting the appropriate tech stack and designing solutions for complex healthcare data challenges

Qualifications:

  • 5+ years of hands-on data engineering experience, including complex data integration projects
  • Strong experience with modern data warehouse technologies such as Snowflake, Redshift, BigQuery, or similar
  • Expertise in API-based data ingestion and developing custom data connectors
  • Proficiency with contemporary data pipeline tools and orchestration frameworks
  • experience with healthcare data or health-tech platforms is required
  • Demonstrated ownership mindset, ability to work independently, and drive major projects to completion

Preferred Qualifications:

  • Experience designing multi-tenant or multi-source ingestion frameworks
  • Background in unified or generalized data modeling
  • Exposure to cloud infrastructure and CI or CD practices for data platforms and pipelines
  • Can start immediately, if possible

Only shortlisted candidates will be contacted; updating/tailoring CV is highly recommended
Originally posted on Himalayas

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