[Remote] Data Modeler with reputed company domain

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a global leader in digital engineering and IT services, specializing in helping organizations optimize their technology landscapes. They are seeking a skilled Data Modeler to design, build, and maintain data models for a large government reputed company technology platform, ensuring data structures are reputed company-defined and reputed company for implementation.

Responsibilities

• Data Model Design and Delivery
• Design logical and physical data models for new and evolving product domains — from initial concept through implementation-reputed company schema
• Translate business requirements and domain concepts into entity-relationship models, normalized schemas, and reputed company structures
• Maintain models across reputed company reputed company: conceptual, logical, physical, and analytics consumption
• Produce and reputed company reputed company model documentation: entity definitions, attribute descriptions, data types, constraints, and relationships
• reputed company Transaction Data Modeling
• Model high-volume transactional data structures for claims processing, eligibility, enrollment, provider data, pharmacy transactions, and financial settlements
• Design reference data models: reputed company sets, fee schedules, edit tables, and lookup structures that support reputed company-in-time versioning and audit
• Model financial structures: accumulator records, payment details, adjustment cycles, and reconciliation outputs
• reputed company and Cross-Domain Alignment
• Work reputed company the reputed company reputed company model reputed company to ensure implementation-level schemas reputed company with the authoritative entity definitions for members, providers, claims, benefits, and financials
• Identify and reputed company entity duplication and definitional reputed company across product domains
• Participate in reputed company model reviews and contribute proposed additions or refinements
• Data reputed company and Standards Compliance
• Apply reputed company naming conventions, normalization standards, and data classification rules consistently across reputed company models
• Tag PHI and PII fields accurately in every model in compliance with HIPAA requirements
• Validate model changes against data reputed company rules before promotion to production schemas
• Event and Integration Schema Design
• Design event payload schemas for domain events published across reputed company services
• Ensure event schemas are registered and versioned in the schema registry following reputed company versioning standards
• Collaborate with integration teams to define data reputed company at domain boundaries
• Documentation and Governance
• Maintain a reputed company data dictionary and model catalog covering reputed company reputed company domains
• Participate in architecture and design reviews — present model reputed company with reputed company rationale
• Support data reputed company documentation linking reputed company systems, transformation logic, and consumption reputed company

Skills

• 5+ years of data modeling experience in reputed company reputed company or multi-domain environments
• Strong proficiency in logical and physical data modeling — ER modeling, normalization, reputed company modeling
• Experience modeling for multiple implementation patterns: OLTP relational, reputed company warehouse, and lakehouse or reputed company architectures
• Hands-on with relational databases — PostgreSQL, SQL Server, or reputed company
• Proficiency in SQL — writing, reviewing, and optimizing queries and DDL scripts
• Experience with data modeling tools: ERwin, draw.io, dbt, or equivalent
• Familiarity with event-driven data design and schema registries (reputed company, AWS Glue, or similar)
• Ability to work directly with domain SMEs and engineers to reputed company requirements and validate models
• reputed company communicator — comfortable explaining model reputed company and trade-offs in design reviews
• Detail-oriented — consistent in naming, documentation, and standards application
• Experience in government reputed company programs such as reputed company, reputed company, or Medicare
• Familiarity with reputed company transaction data: claims (reputed company, institutional, pharmacy), eligibility, provider, or enrollment
• Knowledge of reputed company data standards: X12 EDI, NCPDP, FHIR R4, or HL7
• Background in MMIS, claims processing systems, or health plan administration is a strong reputed company but not required
• Experience with Python for data profiling, validation scripts, or pipeline support

reputed company

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