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Data Modeling Jobs in Ohio (NOW HIRING)

Data Modeler

Columbus, OH ยท On-site

$53 - $68.50/hr

Proficiency in utilizing standard data modeling tools (e.g. Erwin, ER Studio, Toad DM, Power Designer, etc.). Structured execution of data analysis, data profiling, and data mapping tasks. Ensures ...

Data Modeler

Columbus, OH ยท On-site

$53 - $68.50/hr

Overview: Data Modeling, Performance Tuning, Traditional Or Cloud ETL/ELT Tools. Job Responsibilities: Understand on how the data is flowing and derive transformational process Understand the ...

Urgent Need Data Modeler

Dayton, OH ยท On-site

$53.25 - $69/hr

... data modeling (conceptual, logical and physical) required Experience with SQL Server 2014 Experience in data warehouse development preferred Healthcare experience preferred Desired Experience: 4+ ...

Urgent Need Data Modeler

Dayton, OH ยท On-site

$53.25 - $69/hr

At least 4+ years of experience in data modeling (conceptual, logical and physical) required * Experience with SQL Server 2014 * Experience in data warehouse development preferred * Healthcare ...

Urgent Need Data Modeler

Dayton, OH ยท On-site

$53.25 - $69/hr

... data modeling (conceptual, logical and physical) required Experience with SQL Server 2014 Experience in data warehouse development preferred Healthcare experience preferred Desired Experience: 4+ ...

Data Modeler -----Need GC and USC

Dayton, OH ยท On-site

$53.25 - $69/hr

... data modeling (conceptual, logical and physical) required Experience with SQL Server 2014 Experience in data warehouse development preferred Healthcare experience preferred Desired Experience: 4+ ...

LEAD Data Modeler

Columbus, OH ยท On-site

$53 - $68.50/hr

Columbus OH Duration: 12-18 Months Top Three Skills: 1. Data profiling 2. Source to target Mappings 3. Data Modeling- Logical, Physical, Conceptual 4. Data visualization 5. SQL experience is also ...

Urgent Need DATA Modeler with Healthcare Exp

Mason, OH ยท On-site

$51.50 - $66.75/hr

Data Modeling, SQL, Oracle, ETL We are in search of a Data Modeler with at least 5 years of experience. Desired Experience : 4+ years of experience in data modeling (conceptual, logical and physical ...

Urgent Need Lead Data Modeler

Columbus, OH ยท On-site

$53 - $68.50/hr

Candidates need to be able to effectively and confidently describe and execute on Data Analysis/Modeling strategies for the program. Additional Information Please send your details to alih (at ...

Data Architect

Cleveland, OH ยท On-site

$61.75 - $79.50/hr

Design, optimize, and maintain Snowflake environments, ensuring clean data modeling, efficient data sharing, and robust warehouse performance. * Modernize Data Structures: Collaborate with onsite ...

Data Engineer

Cincinnati, OH

$109K - $132K/yr

Including data modeling, DAX, Power Query, and report/dashboard design. SQL Knowledge: For data querying and manipulation. Data Warehousing: Understanding principles like ETL and data modeling ...

Urgent Need Data Modeler with Linkedin Id

Columbus, OH ยท On-site

$53 - $68.50/hr

Columbus, OH Type: 18+ Month Contract Top Three Skills: 1. Data profiling 2. Source to target Mappings 3. Data Modeling- Logical, Physical, Conceptual 4. SQL Additional Information If my requirement ...

Data Architect

Columbus, OH ยท On-site

$61.50 - $79.25/hr

This role combines data architecture, data modeling, and data engineering responsibilities. Working closely with the Highlights Intelligence Team (HIT) and data engineers, the architect establishes ...

Data Architect

Independence, OH ยท On-site

$62.50 - $80.50/hr

Extensive experience with data modeling, data warehousing, and modern data platforms (e.g., cloud environments like AWS, Azure, or GCP). * Deep expertise in data modeling, data warehousing, database ...

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Data Modeling information

See Ohio salary details

$9

$55

$79

How much do data modeling jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for data modeling in Ohio is $55.82, according to ZipRecruiter salary data. Most workers in this role earn between $50.05 and $64.90 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Modeling position, and why are they important?

To thrive in Data Modeling, you need strong analytical skills, proficiency in database design, and a solid understanding of data structures, usually supported by a degree in computer science, information systems, or a related field. Expertise with tools such as ERwin, SQL, PowerDesigner, or similar data modeling software, as well as knowledge of normalization techniques and experience with data warehousing concepts, are highly valued. Effective communication, attention to detail, and problem-solving abilities set outstanding data modelers apart, allowing them to convey complex concepts to both technical and non-technical stakeholders. These skills are vital for building accurate, scalable data models that serve as the foundation for reliable data-driven decision-making within organizations.

What are the four types of data modeling?

Data modeling in data analysis and database design typically includes four main types: conceptual, logical, physical, and dimensional modeling. Conceptual models define high-level data structures, logical models specify detailed structures without physical considerations, physical models translate logical models into actual database schemas, and dimensional models are used in data warehousing for analytical purposes. Data modelers often use tools like ER diagrams and require understanding of database systems and business requirements.

What is a Data Modeling job?

A Data Modeling job involves designing and structuring data to ensure it is organized, efficient, and scalable for business needs. Data modelers create conceptual, logical, and physical data models that define relationships between data elements. They work closely with database administrators, data engineers, and analysts to optimize data storage and retrieval. Their role is crucial for maintaining data integrity and supporting business intelligence and analytics initiatives. Skills in SQL, database design, and data normalization are essential for success in this role.

What does a typical day look like for someone working in Data Modeling?

A typical day in Data Modeling often involves collaborating with business analysts, database administrators, and software developers to understand data requirements and translate them into logical and physical data structures. Data modelers spend time designing, reviewing, and optimizing data models, ensuring accuracy and consistency across systems and projects. They also review data flows, document data dictionaries, and participate in meetings to align data architecture with overall business needs. The role frequently requires balancing independent technical work with teamwork, as well as responding to feedback and evolving project requirements to support organizational goals.

$53 - $68.50/hr

Full-time

Posted 5 days ago


Job description

Overview:
Role: Data Modeller
Total Exp: 8- 10 Years
Skills: Python, Data Concepts & Data Modelling, Erwin
Collaboration Effectiveness demonstrated skill working directly with stakeholders, business partners, SMEs, systems peers, and cross-functional teams to elicit data requirements and design appropriate data models that align with business needs.
Translating current and future business requirements into conceptual, logical, and physical data model designs.
Proficiency in utilizing standard data modeling tools (e.g. Erwin, ER Studio, Toad DM, Power Designer, etc.).
Structured execution of data analysis, data profiling, and data mapping tasks.
Ensures referential integrity is maintained via data modeling design and data quality recommendations.
Ensures data governance practices are followed during model creation to support efforts such as data cataloging, taxonomy, data lineage, and data quality.
Designing data models for multiple distinct patterns (e.g. relational, dimensional, hybrid) associated with data warehouse, BI, and large data applications.
Creation of net new data models and extension of existing across multiple DBMS platforms (e.g. Oracle, SQL Server, DB2, Snowflake, Teradata, NoSQL).
Ability to understand and explain complex data integration and extraction transformation load processes.
Demonstrated experience identifying and resolving data model performance issues to optimize database performance and enhance overall system functionality.
Documenting and communicating data model designs and standards to ensure understanding and compliance with expectations for interoperability across the organization.
Fluency in Python, SQL, and Unix. High proficiency with generating complex SQL queries is required.
Version control of databases and metadata management tools (e.g. Git, Liquibase, etc.).
Proven communication skills illustrating ability to effectively interact with people at all levels of business and technology organizations.
Experience working in an Agile environment using Lean, Kanban and Scrum practices.
Insurance and Financial domain experience is highly desired.