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Data Modeling Jobs in Ohio (NOW HIRING)

APCO Holdings

Senior Data Developer

Westerville, OH · On-site

You'll develop reliable ETL pipelines, lead data modeling efforts, and create data stores and marts that power business intelligence. This role requires a strong understanding of organizational data ...

APCO Holdings

Senior Data Developer

Westerville, OH

You'll develop reliable ETL pipelines, lead data modeling efforts, and create data stores and marts that power business intelligence. This role requires a strong understanding of organizational data ...

HUMAC INC.

Lead Data Analyst

Cincinnati, OH

Responsibilities include building scalable data models, ensuring data quality and governance, and partnering with stakeholders to translate business needs into solutions. Requirements: * Proven ...

USM

Urgent Need SR Data Modeler

Columbus, OH · On-site

Columbus, OH Duration: 6 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 very ...

Arhaus

Data Engineer

Boston Heights, OH · On-site

$104K - $125K/yr

Design, develop, and optimize data pipelines, models, and workflows using Snowflake * Manage large-scale data ingestion, transformation, and processing pipelines (ETL/ELT) * Ensure data quality ...

Eaton

Senior Data Architect

Beachwood, OH · On-site

$130K - $190K/yr

Own data models for manufacturing/engineering whilst supporting peer architects across several domains or a broader set of data assets. Job Responsibilities • Develop and maintain conceptual ...

R3 Tek

Data Engineer

Columbus, OH

$110K - $132K/yr

... Data Modeling Good to have- DataStage, Hadoop. Warm Regards, Rahul R3 Technology Inc., 324 Courtyard Drive, Suite A Hillsborough, New Jersey, 08844 Direct:7328373458 Website: www.r3tek.com

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Data Modeling information

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How much do data modeling jobs pay per hour?

As of Jun 9, 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.

What are popular job titles related to Data Modeling jobs in Ohio? For Data Modeling jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Modeling jobs in Ohio look for? The top searched job categories for Data Modeling jobs in Ohio are:
Data Modeling jobs near you

Data integration Architect with IBM StreamSets and Salesforce

S R INTERNATIONAL INC

Columbus, OH • Remote

$80 - $90/hr

Full-time

Posted 23 days ago

Job description

LOCAL OHIO CANDIDATES
State of Ohio- Data Integration Architect with IBM StreamSets and Salesforce - 797734
100% REMOTE must report on-site for 1st day at Columbus, Ohio 43215
Interviews will be via Teams

The Technical Specialist 4 (TS4) contract resource will design and implement Agency data engineering solutions, including data platform evaluation, selection recommendations, data modeling, and enterprise data architecture development. This position will serve as a senior technical contributor responsible for shaping and advancing the Agencys data ecosystem through scalable, secure, and well-governed data design practices.
The TS4 will make technical decisions affecting configuration and implementation of data analytics environments, data platforms, integration systems, and environment-specific data storage solutions. The position will collaborate with IT Architecture staff, the Agency CIO, and IT Managers to design data solutions aligned with agency business needs, enterprise standards, and long-term architectural direction. The TS4 will assist in evaluating solution designs, contributing to business case analysis, and recommending IT architecture improvements.
This role will serve as a significant contributor to the Agencys data modeling and data architecture practices, including:
Designing and maintaining conceptual, logical, and physical data models supporting enterprise analytics and operational systems
Establishing and promoting data modeling standards, naming conventions, and design patterns
Contributing to the development and evolution of the Agencys enterprise data architecture roadmap
Supporting domain-driven and scalable data design approaches aligned with enterprise data platforms and data governance objectives
Providing architectural guidance to ensure data solutions are reusable, interoperable, and aligned with enterprise integration strategies
The TS4 will recommend technical strategy by defining tasks and leading technical discussions related to design, implementation, operation, optimization, and ongoing maintenance of data systems. The position will work closely with Enterprise partners to determine and configure integrations between agency systems and enterprise data lake, data quality, and data curation platforms.
It is critical that this position possess at least five (5) years of proven experience related to data integration, data cleansing, data classification, and data modeling. The TS4 will provide technical leadership and guidance to DODDs Data Management team by designing and implementing best-practice solutions for integrating agency and enterprise data platform environments.
Required Skills:

  • Experience with Salesforce platforms
  • Experience with Microsoft Environments including Azure and Dynamics
  • Experience with StreamSets data integration pipelines
  • Experience with Snowflake data platform
  • Experience with Tableau analytics integration

This is a remote position.