BuzzClan

Data Modeler

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Modeler in Blythewood, SC, offering a long-term contract at a W2 pay rate. Requires 3+ years of data modeling with ERWIN, Oracle DBA, SQL Server experience, and a high school diploma. SQL Server DBA certification preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 27, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Blythewood, SC
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🧠 - Skills detailed
#ERWin #Physical Data Model #Metadata #DBA (Database Administrator) #Scala #Data Management #Business Analysis #Compliance #Data Modeling #Version Control #SQL Server #Data Governance #Data Integrity #Data Architecture #Database Design #Documentation #Oracle #SQL (Structured Query Language) #ASM
Role description
Title: Data Modeler Location: Blythewood, SC (Oniste) Job Type: Long Term Contract Interview Process: Interviews will take place on-site at the office Blythewood, SC 29016. Rate: W2 Job Description Required Skills: • 3+ years of professional data modeling with ERWIN data or similar data modeling tool • 3+ years experience with Oracle 18/19 DBA and/or SQL Server 2019, 2022 • Education-High School Diploma Preferred Skills: • SQL Server dba certification • 3 + years of experience with Database backup and restore • 3+ year Oracle Grid (Control) • DD Boost to support backup and restore operations for oracle database • ORACLE GRID CONTROL • ORACLE ASM Roles & Responsibilities • Create and update data models and documentation using ERWIN • Performing reverse and forward engineering of database structures. • Providing best practices for data modeling, metadata management, and documentation. • Designing, developing, and maintaining logical and physical data models using ERwin Data Modeler. • Ensuring database designs support scalability, integrity, and performance requirements. • Identify data integrity and consistency issues. Provide reporting and recommendations to address the issues. • Identify and aid with duplicate data resolution. • Collaborating with data architects, DBAs, developers, and business analysts to translate business requirements into data models. • Managing version control of data models and maintaining model repositories. • Supporting data governance and compliance initiatives through effective data modeling strategies.