出海雷达

数据平台负责人

Data Platform Lead

AI开发工程限定地区(需当地身份)
公司Guidehouse
薪资$149,000 - $248,000/年
工作地点United States
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15 天前
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 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。

职位类别:
数据工程与架构咨询
出差要求:
最多25%
安全许可要求:
无
Guidehouse 正在寻找一名数据工程师,以支持在收入周期管理(RCM)平台中设计、开发和部署数据管道和数据服务。该职位专注于构建可扩展的、生产级的数据系统,为索赔、拒付、应收账款管理、编码和绩效分析等场景中的 AI 驱动工作流提供支持。

该职位包括设计和管理云原生数据平台、数据湖/数据织物以及管道编排,支持分析和 AI 使用场景。

你将负责:
为 RCM 使用场景设计和构建可扩展的数据管道;开发结构化和非结构化数据(索赔、退款、账户备注)的摄入框架;实现 ETL/ELT 管道和数据转换逻辑;构建和维护企业级数据湖/数据织物架构;在企业系统和 API 之间集成数据;确保数据质量、血缘关系和治理;支持 AI/ML 和分析工作流的数据服务;使用现代 DevOps 实践在云环境中部署和管理数据工作负载

你需要具备:

  • 至少七年的工作经验
  • 具有在生产环境中构建和部署数据管道和数据平台的经验;熟练掌握 SQL 和 Python;有云数据平台(Azure、AWS 或 GCP)经验
  • 具有 ETL/ELT 和大规模数据处理经验;了解数据建模、数据质量和治理
  • 具有集成企业数据源和 API 的经验
  • SQL、Python 和数据工程框架
  • 数据管道(ETL/ELT)和大规模数据处理
  • 云数据平台(Azure Data Factory、AWS、GCP)
  • 数据湖/数据织物架构
  • 结构化和非结构化数据集成
  • API 集成和数据摄入模式
  • 数据质量、治理和血缘关系
  • 数据管道的 CI/CD 和 DevOps
  • 分布式处理(Spark 或类似工具)
  • 具有大规模生产数据系统交付经验

我们希望你具备:
· 医疗保健 RCM 数据(索赔、计费、应收账款)经验;支持 AI/ML 或分析平台的经验;熟悉数据湖屋架构;有编排工具(Airflow、ADF 等)经验;在受监管环境中工作的经验。
该职位的年薪范围为 149,000.00 至 248,000.00 美元。薪酬决策取决于多种因素,包括…

查看英文原文

Job Family:
Data Engineering & Architecture ConsultingTravel Required:
Up to 25%Clearance Required:
NoneGuidehouse is seeking a Data Engineer to support the design, development, and deployment of data pipelines and data services across a Revenue Cycle Management (RCM) platform. This role focuses on building scalable, production-grade data systems that power AI-enabled workflows across claims, denials, AR management, coding, and performance analytics.
The role includes designing and managing cloud-native data platforms, data lakes/fabrics, and pipeline orchestration, supporting both analytics and AI use cases.
What You Will Do:
Design and build scalable data pipelines for RCM use cases; Develop ingestion frameworks for structured and unstructured data (claims, remits, account notes); Implement ETL/ELT pipelines and data transformation logic; Build and maintain enterprise data lake/data fabric architectures; Integrate data across enterprise systems and APIs; Ensure data quality, lineage, and governance; Support data services for AI/ML and analytics workflows; Deploy and manage data workloads in cloud environments using modern DevOps practices
What You Will Need:

  • Minimum of SEVEN (7)+ years of overall work experience
  • Experience building and deploying data pipelines and data platforms in production; Strong SQL and Python skills; Experience with cloud data platforms (Azure, AWS, or GCP)
  • Experience with ETL/ELT and large-scale data processing; Understanding of data modeling, data quality, and governance
  • Experience integrating enterprise data sources and APIs
  • SQL, Python, and data engineering frameworks
  • Data pipelines (ETL/ELT) and large-scale data processing
  • Cloud data platforms (Azure Data Factory, AWS, GCP)
  • Data lake / data fabric architectures
  • Structured and unstructured data integration
  • API integration and data ingestion patterns
  • Data quality, governance, and lineage
  • CI/CD and DevOps for data pipelines
  • Distributed processing (Spark or equivalent)
  • Experience delivering production data systems at scale

What Would Be Nice To Have:
· Experience in healthcare RCM data (claims, billing, AR); Experience supporting AI/ML or analytics platforms; Familiarity with data lakehouse architectures; Experience with orchestration tools (Airflow, ADF, etc.); Experience working in regulated environments.
The annual salary range for this position is $149,000.00-$248,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:

  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Position may be eligible for a discretionary variable incentive bonus
  • Parental Leave and Adoption Assistance
  • 401(k) Retirement Plan
  • Basic Life & Supplemental Life
  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
  • Short-Term & Long-Term Disability
  • Student Loan PayDown
  • Tuition Reimbursement, Personal Development & Learning Opportunities
  • Skills Development & Certifications
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Emergency Back-Up Childcare Program
  • Mobility Stipend

About Guidehouse
Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
Originally posted on Himalayas

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