> Markdown version of [/jobs/ext/4482657-data-modeler](https://www.wearedevelopers.com/jobs/ext/4482657-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). --- # Data Modeler - **Company:** InfoVision, Inc. - **Location:** Irving, TX, United States - **Contract:** Contract - **Skills:** Third Normal Form, Artificial Intelligence, Data Analysis, Big Data, Customer Data Management, Data Validation, Data Governance, Data Vault Modeling, Data Warehousing, Dimensional Modeling, Distributed Computing Environment, Data Flow Control, Graph Database, Python (Programming Language), Machine Learning, PowerDesigner, Query Optimization, Cloud Services, Data Streaming, Tableau (Software), Google Cloud, Sql Optimization, Snowflake, Data Layers, Information Technology, Collibra, Qlikview, Looker Analytics, Apache Beam, Databricks - **Published:** October 31, 2026 - **Apply:** https://www.dice.com/job-detail/4dbecbac-4432-4c7b-9c28-ff685d0a8163 ## About the Role 11+ years of hands-on experience in data modeling and data warehousing. Bachelor's degree in Computer Science, Information Technology, or equivalent experience. Strong command of conceptual, logical, and physical modeling, including dimensional modeling and 3NF design. Hands-on experience with Erwin Data Modeler, ER/Studio, or PowerDesigner. Advanced SQL skills, including query optimization on large data sets. Experience modeling on cloud data platforms such as Snowflake, Databricks, or Google Cloud. AI & Machine Learning Integration: Familiarity with multi-modal data, AI/ML model deployment, and data governance frameworks. Big Data & Pipelines: Experience with distributed data processing, streaming/batch pipelines (such as Apache Beam / Google Cloud Platform Dataflow), and vector/graph databases. Preferred Qualifications Experience with Data Vault 2.0 and lakehouse architectures. Experience building semantic layers in Looker/LookML, with dashboards in Tableau or Qlik. Familiarity with data governance and catalog tools such as Collibra or Alation. Python experience for exploratory data analysis and data validation. Background in telecom, wireless, or customer data domains.