数据工程师（实施与集成）
Data Engineer (Implementation & Integration)
关于公司：
Meduit 是医疗保健收入周期管理领域的全国性领导者，为全美48个州的医院和医生诊所提供支持。我们专注于优化付款流程，使客户能够专注于患者护理，并以我们的核心价值观为傲：诚信、团队合作、持续改进、以客户为中心和结果导向。了解更多请访问 www.meduitrcm.com。
职位描述：
数据实施工程师负责设计、开发和维护数据集成解决方案，将医院系统的客户数据整合到 Meduit 平台，包括数据仓库、映射工具、支付门户和催收系统。该职位利用 Python、SQL、ETL 技术和数据建模专业知识来转换、验证和优化数据流程。数据实施工程师与运营、流程、技术支持和客户管理团队合作，支持客户实施、可扩展的数据架构以及系统间的数据质量。
职位名称：数据实施工程师
地点：远程 – 美国
工作时间：全职
部门：产品实施
薪资：$80,000 – $95,000
主要职责：
- 开发和维护基于 Python 的脚本、工具和自动化解决方案，以支持数据集成、转换、验证和报告
- 设计、开发和维护支持可扩展数据集成和报告需求的逻辑和物理数据模型
- 分析源系统数据结构，并将业务需求转化为高效的数据模型和数据库模式
- 构建、优化和排查复杂 SQL 查询和数据转换流程
- 在多个结构化和非结构化数据源上配置和维护 ETL 流程
- 支持数据仓库开发和对数据架构及性能的持续改进
- 确保客户实施和内部系统中的数据完整性、质量和治理
任职要求：
- 数学、管理信息系统、计算机科学、统计学、数据分析或相关技术领域的学士学位，或同等经验
- 3年以上在复杂数据环境中设计和维护 ETL 流程的经验
- 2年以上使用 Python 开发解决方案的专业经验
- 精通 SQL 和关系型数据库系统，如 MySQL、Microsoft SQL Server、PostgreSQL 或类似平台
- 有使用 Kubernetes、Docker 或其他容器化技术的经验优先考虑
查看英文原文
About Us:
Meduit is a national leader in healthcare revenue cycle management, supporting hospitals and physician practices in 48 states. We focus on optimizing payments, allowing clients to focus on patient care, and pride ourselves on our core values: Integrity, Teamwork, Continuous Improvement, Client-Focused, and Results-Oriented. Learn more at www.meduitrcm.com.
About the Role:
The Data Implementation Engineer is responsible for designing, developing, and maintaining data integration solutions that implement client data from hospital systems into Meduit platforms, including data warehouses, mapping tools, payment portals, and collections systems. This role leverages Python, SQL, ETL technologies, and data modeling expertise to transform, validate, and optimize data workflows. The Data Implementation Engineer partners with Operations, Workflow, Technical Support, and Account Management teams to support client implementations, scalable data architecture, and ongoing data quality across systems.
Title: Data Implementation Engineer
Location: Remote – United States
Schedule: Full-time
Department: Product Implementation
Compensation: $80,000 – $95,000
Key Responsibilities:
- Develop and maintain Python-based scripts, utilities, and automation solutions to support data integration, transformation, validation, and reporting
- Design, develop, and maintain logical and physical data models that support scalable data integration and reporting requirements
- Analyze source system data structures and translate business requirements into efficient data models and database schemas
- Build, optimize, and troubleshoot complex SQL queries and data transformation processes
- Configure and maintain ETL processes across multiple structured and unstructured data sources
- Support data warehouse development and ongoing improvements to data architecture and performance
- Ensure ongoing data integrity, quality, and governance across client implementations and internal systems
Required Qualifications:
- Bachelor's degree in Mathematics, MIS, Computer Science, Statistics, Data Analytics, or a related technical field, or equivalent experience
- 3+ years of experience designing and supporting ETL processes across complex data environments
- 2+ years of professional experience developing solutions using Python
- Strong experience with SQL and relational database systems such as MySQL, Microsoft SQL Server, PostgreSQL, or similar platforms
- Experience designing and maintaining logical and physical data models
- Experience with data transformation, mapping, and integration processes
- Experience working with ETL tools such as Talend Data Integration or similar technologies
- Strong analytical, troubleshooting, and problem-solving skills
Preferred Qualifications:
- Experience developing Python-based data pipelines and automation solutions
- Experience working with Snowflake and AWS environments
- Experience with dimensional modeling, star schemas, and data warehouse design
- Experience with Revenue Cycle Management, EDI, X12, or patient accounting systems
- Knowledge of claims and billing processes within healthcare environments
- Familiarity with modern data architecture and cloud-based analytics platforms
Employment eligibility:
- Candidates must be legally authorized to work in the United States at the time of hire
- The company does not provide employment visa sponsorship for this position
- As a condition of employment, a pre-employment background check will be conducted
- At this time, we are unable to consider candidates residing in the state of New York for this position
What We Offer:
- Comprehensive paid training
- Medical, dental, and vision insurance
- HSA and FSA available
- 401(k) with company match
- Paid Wellness Time and Holidays
- Employer paid life insurance and long-term disability
- Internal growth opportunities
Meduit is an Equal Opportunity Employer. We do not discriminate based on any protected class and welcome applicants from all backgrounds, consistent with applicable laws.
Originally posted on Himalayas