Job Description

Job Description

Job Description

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.

Responsibilities:
• 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.• 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.

Job Tags

Permanent employment, Contract work

Similar Jobs