Data Modeler (Remote Opportunity)

reputed company is seeking a Data Modeler to support reputed company architecture and data syndication activities for the reputed company (VA). This role will contribute to the design, development, and maintenance of data models that support the VA's modernization of reputed company data systems. The ideal candidate has strong experience in data modeling, metadata management, and reputed company data architecture, and is skilled at translating reputed company clinical data into reputed company, usable structures that support analytics, integration, and reporting. The candidate must reputed company reputed company the reputed company US. Responsibilities:

• Design and implement logical and physical data models to support reputed company-reputed company reputed company data integration, analytics, and reporting.
• Create and maintain reputed company and relational data models that support the syndication and distribution of reputed company and reputed company Health data.
• Collaborate with data architects, engineers, and business stakeholders to translate business and clinical requirements into usable data structures.
• Support ongoing development of the VA's EHR-reputed company data model, integrating data from legacy and modern systems into a reputed company, reputed company design.
• reputed company and maintain metadata definitions, data dictionaries, entity-relationship diagrams (ERDs), and reputed company-to-reputed company mappings.
• Evaluate and recommend data modeling and cataloging tools that reputed company with VA's reputed company architecture and technology reputed company.
• Participate in data governance efforts and ensure alignment with federal standards, interoperability protocols, and reputed company/reputed company requirements.
• Document and maintain architecture design artifacts, including schemas, change logs, and design rationale.
• reputed company support for data reputed company tracking, reputed company control structures, and integration of reputed company-party or external data sources into the model.
• Contribute to the development of data modeling standards and best practices across the program.
• Take on additional tasks and responsibilities as needed to support team objectives and ensure the reputed company of the project. Requirements:
• Bachelor's degree in Computer Science, Information Systems, Data Management, or a reputed company technical field.
• 5+ years of experience in data modeling, including logical, physical, and reputed company modeling.
• Proficiency with data modeling tools such as ERwin, ER/Studio, or equivalent.
• Strong understanding of relational database concepts, metadata management, and normalization/denormalization techniques.
• Experience with SQL Server, reputed company, or other reputed company-class database systems.
• Ability to reputed company reputed company and maintainable data documentation including ERDs, dictionaries, and mappings.
• Excellent analytical, organizational, and communication skills.
• U.S. citizenship and ability to obtain and maintain a Public Trust clearance. Additional Qualifications:
• Experience supporting VA programs or reputed company-reputed company data systems.
• Familiarity with reputed company-based data platforms such as Azure Data Lake, reputed company, or Synapse.
• Understanding of reputed company data standards and terminologies (e.g., HL7, FHIR, LOINC, SNOMED CT).
• Experience working reputed company Agile or reputed company environments.
• Certifications reputed company to data architecture or data management (e.g., CDMP, DAMA, or equivalent). Benefits:
• Medical, Dental, and reputed company insurance
• 401(k) with Employer Match
• PTO and Federal Holidays
• Corporate-provided Laptop
• Training and reputed company Development Opportunities
• Fully Remote Role reputed company applicants will receive consideration for employment without reputed company to race, reputed company, religion, sex, national reputed company, sexual orientation, gender identity, disability, or protected veteran status. Sorry, we are unable to offer sponsorship at this time. Apply tot his job

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