Data Engineer - Data Modeler

Quantum Technologies LLC; Houston (TX); On-site; USD 76,000 - 108,000; Full time

Job summary

Quantum Technologies. LLC is seeking a Data Engineer - Data Modeler in Houston, TX for a 10-month engagement. The role focuses on designing enterprise data models, implementing 3NF and dimensional models, and ensuring consistency across Oracle environments using Erwin Data Modeler and SQL/PLSQL.

The ideal candidate will have 5+ years in data modeling, strong Oracle skills, and experience with data governance and metadata tools. C2C / W-2 arrangements available.

Qualifications

• 5+ years in data modeling, data architecture, or database design.
• Expert with Erwin Data Modeler (v9.x+).
• Advanced SQL and Oracle (11g/12c/19c/21c) skills.
• Experience building both 3NF transactional and dim models.
• Strong DDL skills for tables, indexes, constraints, sequences, synonyms, and MV.
• Translate requirements into conceptual/logical/physical data models for Oracle environments.

Responsibilities

• Design, develop, and maintain enterprise data models supporting analytics.
• Govern and evolve data models across Oracle environments.
• Collaborate to translate business needs into robust data models.

Skills

Erwin Data Modeler

SQL & PL/SQL

Oracle DB

Data Modeling

DDL

3NF / Dimensional Modeling

Data Architecture

Tools

ER/Studio

PowerDesigner

Collibra

Alation

Oracle Cloud

AWS

Azure

Snowflake

Databricks

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: Data Engineer - Data Modeler
Location: Houston, TX
Duration: 10 Months
Bill Rate: $67/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other
Job Description:

• 5 or more years of hands‑on experience in data modeling, data architecture, or database design roles.
• 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.

Key Responsibilities:

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

Nice to have skills:

• 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

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.