Data Modeler (Remote - Texas)
This position is posted by Jobgether on behalf of Derex Technologies Inc. We are currently looking for a Data Modeler in Texas (USA).
In this role, you will play a critical part in shaping enterprise data strategies by designing and maintaining conceptual, logical, and physical data models that support complex business requirements. You will collaborate closely with business stakeholders and technical SMEs to align data structures with reporting, analytics, and integration needs. The position involves working with ETL specialists, offshore teams, and cloud-based environments to ensure high-quality, scalable, and optimized data solutions. This is an opportunity to influence key decision-making through data architecture, while contributing to innovative projects in a dynamic and collaborative environment.
Accountabilities:
• Work with business and technical SMEs to understand data consumption and reporting needs
• Analyze source system structures and map data elements to common data models
• Design and maintain conceptual, logical, and physical schemas across acquisition, integration, and analytical layers
• Collaborate with ETL teams on data mappings, conversion rules, and integration solutions
• Support data model version control and ensure consistency across environments
• Coordinate with offshore developers and testers to deliver high-quality data solutions
• Provide guidance on best practices for database design and optimization in cloud or on-premise environments
Requirements
• Proven experience in data modeling using tools such as Erwin or similar
• Strong expertise in SQL, Oracle, or appliance databases
• Hands-on experience with BI technologies including ETL, reporting, and data quality
• Solid understanding of database design principles and data integration best practices
• Experience collaborating with cross-functional and geographically distributed teams
• Excellent problem-solving, communication, and stakeholder management skills
• Preferred: Experience designing and developing cloud-based solutions in Azure or AWS
Benefits
• Competitive compensation aligned with experience
• Flexible hybrid or remote working arrangements
• Long-term project engagement (12 months)
• Exposure to cutting-edge BI and cloud technologies
• Opportunities for collaboration with diverse teams across multiple industries
• Supportive and dynamic work environment fostering professional growth
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience and achievements.
It compares your profile to the job's core requirements and past success factors to determine your match score.
Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!
Apply Now
Apply Now
In this role, you will play a critical part in shaping enterprise data strategies by designing and maintaining conceptual, logical, and physical data models that support complex business requirements. You will collaborate closely with business stakeholders and technical SMEs to align data structures with reporting, analytics, and integration needs. The position involves working with ETL specialists, offshore teams, and cloud-based environments to ensure high-quality, scalable, and optimized data solutions. This is an opportunity to influence key decision-making through data architecture, while contributing to innovative projects in a dynamic and collaborative environment.
Accountabilities:
• Work with business and technical SMEs to understand data consumption and reporting needs
• Analyze source system structures and map data elements to common data models
• Design and maintain conceptual, logical, and physical schemas across acquisition, integration, and analytical layers
• Collaborate with ETL teams on data mappings, conversion rules, and integration solutions
• Support data model version control and ensure consistency across environments
• Coordinate with offshore developers and testers to deliver high-quality data solutions
• Provide guidance on best practices for database design and optimization in cloud or on-premise environments
Requirements
• Proven experience in data modeling using tools such as Erwin or similar
• Strong expertise in SQL, Oracle, or appliance databases
• Hands-on experience with BI technologies including ETL, reporting, and data quality
• Solid understanding of database design principles and data integration best practices
• Experience collaborating with cross-functional and geographically distributed teams
• Excellent problem-solving, communication, and stakeholder management skills
• Preferred: Experience designing and developing cloud-based solutions in Azure or AWS
Benefits
• Competitive compensation aligned with experience
• Flexible hybrid or remote working arrangements
• Long-term project engagement (12 months)
• Exposure to cutting-edge BI and cloud technologies
• Opportunities for collaboration with diverse teams across multiple industries
• Supportive and dynamic work environment fostering professional growth
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience and achievements.
It compares your profile to the job's core requirements and past success factors to determine your match score.
Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!
Apply Now
Apply Now