> Markdown version of [/jobs/ext/3960496-100-remote-contract-role-of-data-modeler](https://www.wearedevelopers.com/jobs/ext/3960496-100-remote-contract-role-of-data-modeler). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # 100% Remote Contract Role of Data Modeler - **Company:** Intone Networks - **Location:** Pittsburgh, PA, United States (Remote available) - **Experience:** Expert - **Contract:** Contract - **Skills:** Data Analysis, Data Architecture, Data Dictionary, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Warehousing, Relational Databases, Dimensional Modeling, Entity Relationship Models, Meta-Data Management, Reference Data, Standard Sql, Data Lakes, Data Lineage, Data Management, Physical Data Models - **Published:** October 27, 2026 - **Apply:** https://www.dice.com/job-detail/41b3cc85-be4b-4f04-9d9b-5081352e3795 ## About the Role * 12+ years of experience in data management, data architecture, data warehousing, or related disciplines, with significant hands-on data-modeling experience. * 7+ years of strong experience developing conceptual, logical, and physical data models. Deep understanding of: * Relational data modeling * Dimensional modeling * Star and snowflake schemas * Normalization and denormalization * Entity-relationship modeling * Data warehousing concepts * Strong understanding of facts, dimensions, hierarchies, grain, surrogate keys, business keys, and Slowly Changing Dimensions. * Strong experience defining entities, attributes, relationships, cardinality, primary/foreign keys, and referential-integrity rules. * Experience translating complex business requirements into enterprise data structures and models. * Strong knowledge of SQL and relational database concepts. * Experience with modern cloud data platforms, data lakes, data warehouses, or lakehouse architectures. * Understanding of ETL/ELT processes and data-integration patterns. * Experience with metadata management, data lineage, data dictionaries, and business glossaries. * Good understanding of Master Data Management (MDM), reference data, data quality, and data governance. * Experience working with enterprise architecture, Data Engineering, analytics, and application-development teams. * Data Modeling Tools