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Data Modeling Jobs in Pennsylvania (NOW HIRING)

Data Architect

Pittsburgh, PA · On-site

$60.50 - $78/hr

Database design, data modeling, data warehousing, SQL, ETL processes, cloud technologies, data mining. * Programming languages like Python and Java. Roles & Responsibilities * Designing and ...

Cloud Data Architect

Pittsburgh, PA · On-site +1

$62 - $79.50/hr

Design scalable data models supporting enterprise platforms, including ERP, financial, operational, and project management systems. * Lead modernization initiatives for legacy data environments ...

Data Modeling: Ability to design and implement data models. * Communication and Presentation: Strong communication and presentation skills to effectively convey findings to stakeholders. * Critical ...

Senior Data Architect

Pittsburgh, PA · On-site

$65.25 - $87.25/hr

Provide guidance and direction on the use of a canonical data models to ensure consistency and interoperability across different business domains and systems. • System Integration: Collaborate with ...

Data Architect

Reading, PA · On-site

$61.25 - $78.75/hr

Strong expertise in data modeling, data warehousing, ETL/ELT, and cloud-based data platforms. Experience designing distributed, scalable, and high-performance data architectures. Strong understanding ...

New

Warehouse based on data volume, structure, performance requirements, and business use cases. • Apply best practices for data modeling (star/snowflake schema, dimensional modeling, and semantic ...

Showing results 21-40

Data Modeling information

See Pennsylvania salary details

$10

$58

$83

How much do data modeling jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data modeling in Pennsylvania is $58.85, according to ZipRecruiter salary data. Most workers in this role earn between $52.79 and $68.41 per hour, depending on experience, location, and employer.

What do data modelers do?

Data modelers design and create data structures and schemas to organize and define how data is stored, accessed, and managed within databases. They analyze business requirements, develop data models using tools like ER diagrams, and ensure data consistency and integrity, often working with database management systems and data governance standards.

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.

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.

How much do data modelers make?

Data modelers typically earn a median annual salary between $70,000 and $110,000, depending on experience, location, and industry. Senior data modelers with advanced skills in database design and data warehousing can earn higher salaries, often exceeding $120,000. Certifications in data management and proficiency with tools like SQL and ER modeling can also influence compensation.

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 is a data modeling job?

A data modeling job involves designing and creating data structures, such as databases and schemas, to organize and store information efficiently. Data modelers use tools like ER diagrams and work with programming languages and database management systems to ensure data integrity and accessibility.
What are the most commonly searched types of Data Modeling jobs in Pennsylvania? The most popular types of Data Modeling jobs in Pennsylvania are:
What are popular job titles related to Data Modeling jobs in Pennsylvania? For Data Modeling jobs in Pennsylvania, the most frequently searched job titles are:
Infographic showing various Data Modeling job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,416 per year, or $58.9 per hour.

Quantitative Analytics & Model Development Analyst - Data, Modeling & Analytics

PNC Bank

Pittsburgh, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 345 frontline employees who took The Breakroom Quiz

93rd of 170 rated banks


Job description

Position OverviewAt 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 a Quantitative Analytics & Model Development Analyst within PNC's Data, Modeling & Analytics Commercial Credit Analytics organization, you will be based in Pittsburgh, PA, Tysons Corner, VA, Cleveland, OH or Cherry Hill, or East Brunswick, NJ.
Role Overview:
We are seeking a Quantitative Analyst to join the Commercial Credit Analytics team at PNC. This role supports Wholesale Model Monitoring and the Commercial Data Domain within the Balance Sheet Analytics & Modeling organization. The position offers exposure to a broad range of commercial portfolios, credit risk models, and collaboration with subject matter experts. It also involves working with data management best practices to drive insights and enhance model performance. This position involves the following.
Monitor performance of Risk Rating models (PD, LGD, EAD) and CECL/CCAR loss forecasting frameworks.
Partner with underwriters, credit officers, model owners, and developers to assess results and derive actionable model insights.
Deliver performance updates and insights to senior leadership and governance committees.
Contribute to Commercial Data Domain initiatives related to risk parameter management.
Support automation and centralization efforts for model monitoring and analytics processes.
Build and enhance analytical tools and reports using Python and SQL to meet evolving business needs.
Preferred skills and experience:
Degree in a quantitative field such as Statistics, Mathematics, Economics, Finance, or Data Science.
Proficiency in Python and SQL for data analysis, automation, and reporting.
Ability to collaborate effectively with cross-functional teams including underwriters, credit officers, and model developers.
Excellent communication skills for presenting technical findings to senior leadership and governance committees.
Experience with credit risk modeling, monitoring, validation and governance processes is a plus
Experience with data management practices and commercial lending portfolios is a plus.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
  • Under general supervision, performs advanced quantitative analyses and models development to support decision-making by running quantitative strategies.
  • Analyzes and develops new model frameworks by supporting the line of business. Refines, monitors, and reviews existing models. Conducts on-going communication with model owners and model developers during the course of the review. Works with large data to create models.
  • Performs quantitative analysis and develops reports. Performs qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity. Analyzes complex data and associated quantitative analysis.
  • Uses quantitative tools and techniques to measure and analyze model risks and reaches conclusions on strengths and limitations of the model.
  • Prepares and analyzes detailed documents for validation and regulatory compliance, using applicable templates.

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, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks, Quantitative Models, Risk AppetiteCompetenciesBank Quantitative Analysis, Consulting, Data Gathering and Reporting, Effective Communications, Predictive Analytics, Quantitative Techniques, Regulatory Environment - Financial Services, TestingWork ExperienceRoles at this level typically require a university / college degree, with 2+ years of relevant professional experience. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationBachelorsCertificationsNo Required Certification(s)LicensesNo Required License(s)Pay TransparencyBase Salary: $75,000.00 - $125,000.00Salaries 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 WindowGenerally, this opening is expected to be posted for two business days from 04/02/2026, although it may be longer with business discretion.BenefitsPNC 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, visitpncthrive.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.


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