Data Modeler

SANFOUR HOLDINGS LLC

North Brunswick Township, NJ, United States

2 months ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Compensation

$104,000.0 - $124,800.0

Working hours

Regular working hours

Job source

indeed.com

Tech stack

Amazon Web Services Microsoft Azure Clinical Data Repository Information Engineering Data Governance Data Infrastructure Data Integrity Extract Transform Load (ETL) Data Structures Relational Databases Enterprise Data Management Google Cloud

+4 more

Snowflake Data Lakes Integration Frameworks Physical Data Models

Job description

We are seeking an experienced Data Modeller with strong expertise in the Healthcare Payer and Provider domain. The role involves designing, developing, and maintaining enterprise-scale data models that support critical healthcare operations including Claims, Enrollment, Eligibility, Payments, Provider, and Member data., * Design and implement conceptual, logical, and physical data models for healthcare datasets

Collaborate with business stakeholders to translate requirements into scalable data structures
Ensure data integrity, consistency, and compliance with healthcare regulations (HIPAA, etc.)
Define and manage data mappings, lineage, and metadata across payer/provider systems
Optimize data models for performance, scalability, and security in modern platforms (Snowflake, Data Lakes, RDBMS)

Requirements

Do you have experience in Stakeholder relationship building?, * 8+ years in Data Modelling / Data Engineering / Enterprise Data Management

Strong domain knowledge in Healthcare Payer/Provider ecosystems
Proven experience with Claims, Enrollment, Eligibility, Payments, Provider, and Member datasets
Expertise in Conceptual, Logical, and Physical Data Modelling
Hands-on with modern data platforms (Snowflake, Data Lakes, RDBMS)
Familiarity with ETL/integration tools and data governance frameworks, * Knowledge of healthcare regulatory compliance (HIPAA, CMS guidelines)
Experience with cloud data modernization (AWS, Azure, GCP)
Strong communication and stakeholder management