Overview
Skills
Job Details
Title: Data Modeler Contract Start: ASAP - 11/2026 could be extended Hybrid: Trenton, NJ Hybrid
*Local candidates, experience creating data models from AWS Redshift, S3, Dynamo DB, DB2, and Postgres. candidate will have a strong background in data modeling, database tuning, and the development of structured and unstructured data models for business intelligence and analytics
Job Description
We are seeking a skilled Senior Data Modeler (SOM) Specialist to design and implement modern data modeling solutions to meet our clients needs. This role involves creating conceptual, logical, and physical data models for various databases, including AWS Redshift, S3, Dynamo DB, DB2, and Postgres. The ideal candidate will have a strong background in data modeling, database tuning, and the development of structured and unstructured data models for business intelligence and analytics. This will be a contract role and hybrid in Trenton, NJ.
What You'll Do
Design and implement modern data modeling solutions using relational, dimensional, snowflake, star schemas, and data lake models
Collaborate with Application Development teams to build data strategies, data flows, and conceptual data models
Optimize and update data models to support data initiative projects throughout various implementation phases
Perform reverse engineering of physical data models and analyze variances across source systems
Develop best practices for standard naming conventions and coding practices to ensure consistency
Evaluate system integration challenges and recommend appropriate solutions
Work with IT teams to address performance requirements, project limitations, and interfaces
Review modifications to existing software to improve efficiency and performance
What You'll Need
Required:
8+ years of experience in data modeling for databases such as DB2, AWS Redshift, Dynamo DB, Postgres, SQL Server, and PEGA Applications
6+ years of experience with data modeling software
Proficiency in AWS and other cloud systems
Strong SQL and data profiling skills across various relational databases
Experience in building data lakes for structured and unstructured data
Database tuning techniques
Expertise in relational data, dimensional data, unstructured data, and master data
Excellent communication skills and ability to collaborate with internal and external teams
Self-motivated and capable of working independently with minimal supervision
Preferred:
Exposure to Snowflake's Cloud Data Warehouse
Knowledge of modern data management trends and modeling techniques