This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
We are looking for a Data Modeler to support a healthcare organization in Morristown, New Jersey through a contract opportunity with the potential for a permanent role. In this role, you will shape enterprise data structures that enable reliable integration, analytics, and reporting across complex data environments. This position is ideal for someone who can translate business needs into scalable models while partnering closely with engineering, architecture, and analytics teams.
Job Responsibility
Create and refine conceptual, logical, and physical data structures for relational databases, dimensional warehouses, and NoSQL platforms
Produce and update entity relationship diagrams, data movement documentation, and related artifacts that align with enterprise data practices
Work alongside data engineers and solution architects to ensure models support efficient data ingestion, transformation, and downstream reporting needs
Convert business objectives and functional use cases into well-structured database designs that promote performance, flexibility, and long-term growth
Lead model evaluations, uphold data modeling standards, and offer mentorship and technical direction to less experienced team members
Maintain data dictionaries, metadata records, and lineage documentation to improve transparency and usability across the data estate
Partner with analytics and reporting stakeholders to develop star and snowflake schema designs for warehouse and data mart solutions
Address data integrity concerns, duplication risks, and quality issues by applying disciplined modeling techniques and sound design principles
Contribute to governance efforts by supporting data standardization and cataloging activities across the organization
Participate in Agile delivery cycles, providing modeling deliverables and documentation in iterative sprint-based workstreams
Requirements
Hands-on experience designing data models across relational, dimensional, and NoSQL environments
Strong working knowledge of ETL processes and data pipeline concepts
Proficiency with Python for data-focused development and automation tasks
Experience using Apache Spark in large-scale data processing environments
Familiarity with Apache Hadoop and distributed data ecosystems
Working knowledge of Apache Kafka for streaming or event-driven data architectures
Ability to document metadata, lineage, and business definitions in a clear and organized manner
Strong collaboration skills with the ability to work effectively across engineering, architecture, and analytics teams