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# Data Engineer - Data Modeling

- **Company:** eCom Solutions
- **Location:** Dallas, TX, United States
- **Contract:** Contract
- **Skills:** Third Normal Form, Amazon Web Services, Data Analysis, Microsoft Azure, Data Governance, Extract Transform Load (ETL), Data Vault Modeling, Apache Hadoop, PostgreSQL, Metadata, Microsoft SQL Server, MongoDB, Oracle Databases, Oracle (Applications), Performance Tuning, PowerDesigner, Cloud Services, Reverse Engineering, PL-SQL, SQL Databases, Sql Optimization, Snowflake, Collibra, Operational Systems, Physical Data Models, Oracle Cloud Infrastructure, Software Version Control, Databricks
- **Published:** November 7, 2026
- **Apply:** https://www.dice.com/job-detail/d80a0384-e782-4221-958f-d75413ea5955

## About the Role

Expert proficiency with Erwin Data Modeler (version 9.x or higher preferred) - including subject areas, model templates, DDL generation, forward/reverse engineering, model versioning, and complete compare functionality.
Advanced SQL skills and deep understanding of Oracle (11g/12c/19c/21c) including SQL, PL/SQL, schema design, and performance tuning fundamentals as they relate to data model design.
Demonstrated experience building both normalized (3NF) transactional models and dimensional models (star/snowflake) for reporting and analytics.
Strong command of DDL - creating and modifying tables, indexes, constraints, sequences, synonyms, and materialized views.
We are seeking a Data Modeler with deep expertise in Oracle database platforms and Erwin data modeling to design, govern, and evolve enterprise data models that support mission-critical business processes. This role is responsible for translating business and analytical requirements into robust conceptual, logical, and physical data models, and for ensuring those models are implemented consistently across our Oracle environments., Experience in a regulated industry (utilities, financial services, insurance, healthcare) with associated data governance and compliance requirements.
Familiarity with additional modeling or metadata tools (e.g., ER/Studio, PowerDesigner, Collibra, Alation).
Exposure to cloud data platforms (e.g., Oracle Cloud, AWS, Azure, Snowflake, Databricks) and hybrid on-prem/cloud modeling scenarios.
Working knowledge of ETL/ELT tools and data integration patterns.
Experience supporting master data management (MDM) or data governance initiatives.
Experience working with Microsoft SQL Server
Experience working with PostGres
Data vault experience
Experience with Hadoop/MongoDB

## Description

Primary responsibilities of the Data Modeler include designing, developing, and maintaining enterprise grade data models that support critical business initiatives, analytics, and operational systems