数据自动化工程师（远程机会）
Data Automation Engineer (Remote Opportunity)
VetsEZ正在寻找一名数据质量分析师及测试员，以支持美国退伍军人事务部（VA）的数据迁移与管理（DMM）支持服务，用于电子健康记录现代化（EHRM）。该职位对于确保从VistA通过VX130迁移到Oracle Health的数据完整、正确、可追溯，并为批量迁移、切换和VA现场上线活动提供支持至关重要。
职责：
- 使用DMM / IRIS数据质量工具，在多个VA站点和大型数据集上执行并监控每日数据质量（DQ）检查。
- 调查数据质量问题，识别根本原因，协调纠正措施，并推动问题解决，以保护数据迁移的完整性。
- 验证迁移查询、提取数据、转换数据和传输数据的完整性和正确性，以支持批量迁移、切换和现场上线活动。
- 与InterSystems IRIS开发人员、VA员工、Oracle Health以及相关专家合作，研究并解决数据迁移差异和验证问题。
- 准备、维护和支持每周数据质量报告，展示结果是否符合VA/DMM定义的标准，并为周进度报告提供准确状态。
- 收集需求，实施、测试和部署新的或增强的数据质量功能、检查、查询和报告功能。
- 创建、验证和排查跨多个临床和行政数据领域的SQL查询和数据提取。
- 监控DQ应用程序和支持环境，识别应用程序/服务器问题，并与相应工程或平台团队协调解决。
- 按照分配的权限管理DQ应用程序访问和权限，并维护DQ工具、检查、流程和操作规程的准确文档。
- 组织定期的数据质量会议，并向技术及非技术利益相关者清晰地传达状态、发现、风险和解决方案计划。
- 使用和支持DMM应用程序，如数据质量工具、数据质量控制面板、日志文件搜索、按站点的企业域活动、查询管理工具、切换检查应用、数据迁移事件跟踪器和DMM票务系统。
要求：
- 计算机科学、信息系统、工程、数据分析或相关技术领域的学士学位。
- 具有数据验证、数据质量分析、测试、对账等经验。
查看英文原文
VetsEZ is seeking a Data Quality Analyst & Testerto support the Department of Veterans Affairs (VA) Data Migration and Management (DMM) Support Services for Electronic Health Record Modernization (EHRM). This role is critical to ensure that data migrated from VistA through VX130 to Oracle Health is complete, correct, traceable, and ready to support bulk migration, cutover, and VA site go-live activities.
Responsibilities:
- Execute and monitor daily Data Quality (DQ) checks across multiple VA sites and large datasets using DMM / IRIS data-quality tools.
- Investigate data-quality discrepancies, identify root causes, coordinate corrective actions, and drive issues through resolution to protect Data Migration integrity.
- Validate migration queries, extracts, transformed data, and transmitted data for completeness and correctness in support of bulk migration, cutover, and site go-live activities.
- Partner with InterSystems IRIS developers, VA staff, Oracle Health, and appropriate SMEs to research and resolve migration-data discrepancies and validation issues.
- Prepare, maintain, and support weekly Data Quality reporting demonstrating results against VA / DMM-defined standards, and provide accurate status for Weekly Progress Reporting.
- Gather requirements, implement, test, and deploy new or enhanced Data Quality capabilities, checks, queries, and reporting functions.
- Create, validate, and troubleshoot SQL queries and data extracts across multiple clinical and administrative data domains.
- Monitor DQ applications and supporting environments, identify application/server issues, and coordinate resolution with the appropriate engineering or platform teams.
- Administer DQ application access and permissions as assigned and maintain accurate documentation of DQ tools, checks, processes, and operating procedures.
- Facilitate recurring Data Quality meetings and communicate status, findings, risks, and resolution plans clearly to technical and non-technical stakeholders.
- Use and support DMM applications such as the Data Quality Tool, Data Quality Control Panel, Journal File Search, Enterprise Domain Activity by Site, Query Management Tool, Cutover Check Application, Data Migration Event Tracker, and DMM Ticketing System.
Requirements:
- Bachelor's degree in Computer Science, Information Systems, Engineering, Data Analytics, or a related technical discipline.
- Experience performing data validation, data-quality analysis, testing, reconciliation, or troubleshooting across large datasets.
- Strong SQL skills, including the ability to create and validate ad hoc queries used for investigation and reconciliation.
- Experience with automation, monitoring, data mapping, testing, or analytical tools.
- Knowledge of database architecture, data integrity concepts, and security considerations for on-premises and cloud-hosted systems.
- Strong problem-solving skills with the ability to investigate discrepancies, identify patterns, and communicate clear findings and recommended actions.
- Strong oral and written communication skills, including the ability to lead technical discussions and present findings to customers and stakeholders.
Additional Qualifications:
- Experience with InterSystems IRIS / Caché, VistA, VX130, or VA healthcare data.
- Familiarity with Linux, Kubernetes / containers, Power BI, GitHub / Azure DevOps, and Agile / Scrum environments.
- Experience supporting data migration, cutover validation, or healthcare data reconciliation.
- Experience supporting Department of Veterans Affairs (VA) or other federal healthcare environments.
- Ability to obtain and maintain the required Government background investigation / access authorization.
Security Clearance Requirements:
U.S. Citizenship is required.
All selected candidates must successfully complete a background check.
Ability to obtain and maintain a Government/Public Trust clearance, including required fingerprinting, when required for the position.
Benefits:
• Medical, Dental, and Vision insurance
• 401(k) with Employer Match
• PTO and Federal Holidays
• Corporate-provided Laptop
- Training and Professional Development Opportunities
• Fully Remote Role
Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
Sorry, we are unable to offer sponsorship at this time.
Originally posted on Himalayas