Data Modeler

Responsibilities:
1. Analyze, Design and Implement Data Models:

• Analyze legacy and recent data usage across applications.
• Develop conceptual, logical, and physical data models.
• Implement relational, dimensional databases.
• Create data models optimized across different data domains.
• Optimize models for data query performance using best practices.

2. Collaboration:
Work with business analysts, data architects, data administrators and database/BI developers.

• Translate enterprise requirements into effective data models.

3. Standards and Best Practices:

• Define, review and document data modeling and design standards.

4. Hands-On Expertise: Perform hands-on modeling, design, configuration, development, and performance tuning.

• Work proactively to address project requirements.

Qualifications:
Education: Bachelor’s degree in computer engineering, computer science, information systems, or a related field.

Experience:

• 8+ years in data analytics, data modeling, or data architecture.
• Proficiency in data modeling for transactional, operational reporting, and analytical solutions (EDW, Data Lake).
• Experienced with Dimensional Modeling and Data Warehouse Modeling.
• Experience using data modeling tools (e.g., IDERA Data Architect, Erwin).
• Knowledge of SQL and its use in data access and analysis.
• Experience in remodeling and/or re-platforming of legacy application databases.
• Knowledge of cloud-based databases (e.g., Azure/Fabric).
• Exposure to data architecture implementation on Azure/Fabric preferred.

Skills:

• Excellent communication, problem-solving, organizational, and analytical skills.
• Ability to work independently and collaboratively.

Location:
Remote

Compensation:
Hourly Rate Range - $40-$60/ hr

Benefits Offered:
[Health, Dental, Vision Insurance]

Deadline:
Applications accepted until 10/30/2025 at 11:59 PM CST


We are an Equal Pay Employer. All employment decisions, including compensation, benefits, hiring, training, and promotions, are made based on merit, qualifications, and business needs. We do not discriminate on the basis of gender, race, ethnicity, age, disability, sexual orientation, or any other protected characteristic. We are committed to ensuring equal pay for equal work and regularly review our compensation practices to promote fairness, equity, and transparency across our organization.