1

Data Modeling Jobs in Ohio (NOW HIRING)

Data Architect

Columbus, OH · On-site +1

$61.50 - $79.25/hr

Key Responsibilities Data Architecture Design Develop and maintain enterprise data models, schemas, and standards. o Define data flows and integration patterns between systems, including cloud-native ...

Data Engineer III / / ONSITE Cincinnati

Cincinnati, OH · On-site

$109K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Data Architect (P4642)

Cincinnati, OH · On-site

$61.25 - $78.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You bring deep expertise in cloud-native data platforms, data modeling, and the architectural patterns required to build and govern AI systems at scale. You are as comfortable whiteboarding a ...

Senior Data Developer

Westerville, OH

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

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 ...

Data Engineer III

Cincinnati, OH · On-site

$109K - $132K/yr

Develop robust data pipelines, data models, and high-performance data platforms while ensuring reliability, quality, and integration across enterprise systems. Must Have Skills Must Have: • ...

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 ...

Enterprise Data Architect

Columbus, OH · On-site

$120 - $160/hr

These models shall be architected at the following layers: conceptual, logical, business area, and application. This individual will act as the primary advocate of data modeling methodologies and ...

New

Showing results 21-40

Data Modeling information

See Ohio salary details

$9

$55

$79

How much do data modeling jobs pay per hour?

As of Aug 20, 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 is a data modeling?

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 the key skills and qualifications needed to thrive in data modeling, 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.

How much do data modelers make?

Data modelers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with advanced skills in database design and data warehousing can earn higher salaries, often exceeding $130,000. Certifications in data management and proficiency with tools like SQL and ER modeling can also influence compensation.

Is data modeling a good career?

Data modeling is a valuable career in data management and analytics, involving designing and organizing data structures for databases and systems. It requires skills in database tools, understanding of business requirements, and often benefits from certifications like CBIP or data modeling tools such as ERwin or PowerDesigner. The role offers opportunities in various industries with a focus on data quality and efficiency.

Is data modeling hard to learn?

Data modeling can be challenging for beginners due to the need to understand database structures, relationships, and normalization concepts. However, with consistent study, practice, and familiarity with tools like ER diagrams and SQL, many learners can develop proficiency over time.
Infographic showing various Data Modeling job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $116,102 per year, or $55.8 per hour.

LOB Consumer Credit Risk Advisor - Data, Modeling & Analytics

PNC

Brecksville, OH

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


PNC Bank rating

7.8

Company rating: 7.8 out of 10

Based on 347 frontline employees who took The Breakroom Quiz

89th of 171 rated banks


Job description


Job Profile
Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As an LOB Consumer Credit Risk Advisor within PNC's Data, Modeling & Analytics Decisioning Quality Assurance organization, you will be based in Pittsburgh, PA, Cleveland or Brecksville, OH, Tysons Corner, VA, Charlotte, NC or Birmingham, AL.
Role Overview
As a LOB Consumer Credit Risk Advisor, you will support delivery of QA oversight across the full credit lifecycle, including originations, account management, and default management. This role is responsible for evaluating decision quality, identifying risk, and delivering insights that strengthen credit processes and regulatory alignment.
You will serve as a trusted advisor, delivering timely, actionable, and business-focused insights with best-in-class quality. Success in this role requires strong analytical capability, attention to detail, and a client-first mindset.
Key Responsibilities:
• Create curated data sets necessary to execute exams across all credit life cycles.
• Conduct QA reviews across credit lifecycle processes to assess adherence to policy, underwriting standards, and regulatory requirements.
• Identify defects, control gaps, and risks impacting decision accuracy and customer outcomes.
• Document findings with clear, concise, and audit-ready support.
• Understand and execute against Retail Level priorities.
• Analyze QA results to identify trends, root causes, and emerging risks.
• Partner with cross-functional teams (Product, Decision Infrastructure, Operations, Risk) to support QA priorities and remediation efforts.
• Compose and present final reports to business partners.
Preferred skills and experience:
• Bachelor’s degree in finance, accounting, business, economics, mathematics, engineering, or equivalent work experience.
• Able to gather and store large data sets using Spark based SQL queries within a Python environment (JupyterHub).
• Capable of navigating the full PNC and client ecosystem with agility and insight, including credit and risk frameworks, regulatory expectations, product features, client experience, market trends, and data within PNC systems. The analyst must connect these areas to deliver holistic, business-relevant insights.
• Understanding of credit underwriting concepts (income, housing, DTI, policy rules).
• Strong attention to detail, analytical and problem-solving skills.
• Experience in QA, audit, financial services consulting, credit risk, lending operations, large data analysis, or related field.
• Proficiency in communicating insights and findings clearly in a professional format.
• Desire to grow professionally in a collaborative environment, receive coaching and feedback, and ultimately lead exams. PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description
  • Reviews activities associated with applicable business segment, including the credit approval process, policy and procedural compliance and portfolio risk management, credit monitoring, and reporting.
  • Maintains in depth knowledge of consumer credit policy and ensures adherence to policy. Deploys appropriate monitoring mechanisms of early performance to manage expected outcomes.
  • Monitors credit by leveraging relevant reporting and assessing trends to identify risk incidences, requests ad - hoc analytics, oversees follow-up, and analyzes output to inform decision - making.
  • Manages and updates credit transaction models utilized within defined asset class and activity and ensures adherence to model management processes (i.e., model validation, testing, maintenance) by ensuring the appropriate resources are in place to adhere to guidance.
  • Follows and recognizes economic, regulatory, and other trends affecting borrowers and initiates relevant analyses, by leveraging key analytic partners, and discussions to determine potential impacts on policy. Reviews validation outputs on data produced and delivered; ensures that work set is completed and that the right conversations are taking place to execute deliverables.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred SkillsAnalytical Thinking, Commercial Real Estate, Competitive Advantages, Consumer Lending, Credit Risk Management, Data Analytics, Decision Making, Financial Operations, Portfolio Risk, Risk Appetite CompetenciesCredit Analysis and Verification, Credit Risk, Financial Statement Analysis, Portfolio Management - 1, Problem Solving, Quantitative Techniques, Regulatory Environment - Financial Services, Risk Economics and Finance Work ExperienceRoles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. EducationBachelors CertificationsNo Required Certification(s) LicensesNo Required License(s) Pay Transparency Base Salary: $70,000.00 – $156,000.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 06/02/2026, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visit pncthrive.com.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses.  Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.


At PNC we foster an inclusive and accessible workplace.  We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)


PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.


What PNC Bank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom