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Data Modeler Jobs in Philadelphia, PA (NOW HIRING)

Data Modeler

Malvern, PA · On-site

$53.75 - $69.75/hr

Job Title Sr. Data Modeler Location Malvern, PA - Hybrid - 3 days a week Duration 6 months + Possible extension Interview Mode Video 2 rounds 2 manager references with LinkedIn Key Responsibilities ...

Data Modeler

Philadelphia, PA · On-site

$55.25 - $71.75/hr

Phone + In-person Qualifications Design logical and physical models across multiple Data Warehouses Strong experience in SSIS. Organize working sessions with business operations team to understand ...

Sr. Data Modeler

Philadelphia, PA

$55.25 - $71.75/hr

Develop and document conceptual logical data model and document business vocabulary for the base and semantic layers. * Collaborate on developing/document modeling standards, processes and best ...

Data Modeler (mid-level)

Wilmington, DE · On-site

$53.25 - $69/hr

Data Modeler (mid-level) Location: Wilmington, DE Duration: 1 year + Interview mode: phone then F2F Description: Required Skills: Minimum 3-5+ years' experience modeling complex databases using 3rd ...

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Senior Oracle PL/SQL Data Modeler We are seeking an experienced Oracle PL/SQL Data Modeler to design, develop, and maintain enterprise-level data models and database solutions. The ideal candidate ...

US - IT - Data Modeler III

Mount Laurel, NJ

$54.25 - $70.25/hr

For more information visit www.td.com 1 Position - Data Modeler III ANSI SQL/ W2 basis + Benefit coverage| ASAP 6 Month Contract (possible extension up to 2 yrs.) Location: On site - Mount Laurel NJ ...

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Senior Oracle PL/SQL Data Modeler We are seeking an experienced Oracle PL/SQL Data Modeler to design, develop, and maintain enterprise-level data models and database solutions. The ideal candidate ...

AI Modeler

Malvern, PA · On-site

$140K - $160K/yr

... data accuracy and auditability are non-negotiable • Experience with PostgreSQL, and event-driven Lambda architectures • Prior work on parallel-run or shadow-mode validation patterns for AI system ...

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Data Modeler information

See Philadelphia, PA salary details

$10

$59

$83

How much do data modeler jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data modeler in Philadelphia, PA is $59.25, according to ZipRecruiter salary data. Most workers in this role earn between $53.12 and $68.89 per hour, depending on experience, location, and employer.

What is a data modeler?

Data Modelers are professionals who design, create, and manage data models that define the structure, organization, and relationships of data within databases or information systems. They work closely with business analysts, database administrators, and developers to ensure that data is organized efficiently and can be accessed and used effectively. Data Modelers use specialized tools and techniques to translate business requirements into conceptual, logical, and physical data models, supporting data consistency, integrity, and security across an organization's systems.

What does a data modeler do?

As a data modeler, your responsibilities are to break down complex computer system data into a logical process that makes it easier to understand for data analysis and statistical purposes. Your duties as a data modeler include reducing data redundancy, checking for data errors, conceptualizing and designing efficient data models, overseeing data architecture growth, and fine-tuning data performance. These positions are usually independent, but you may sometimes need to work with other team members to address potential issues related to data. Data modelers need self-motivation, critical thinking, and problem-solving skills, and you should be quick to adapt.

What are the key skills and qualifications needed to thrive as a data modeler?

To thrive as a Data Modeler, you need a strong understanding of database design, data modeling concepts (such as ER diagrams and normalization), and proficiency in SQL, often supported by a degree in computer science or a related field. Experience with data modeling tools like ERwin, IBM InfoSphere Data Architect, or Microsoft Visio, as well as knowledge of database management systems (DBMS), is typically required. Strong analytical thinking, attention to detail, and effective communication skills help in translating business requirements into technical data structures. These skills and qualities are essential for building scalable, efficient, and accurate data systems that meet organizational needs.

What are some typical challenges data modelers face when working on large-scale projects?

Data Modelers often encounter challenges such as integrating data from multiple, disparate sources and ensuring consistency across large and complex datasets. Aligning the data model with evolving business requirements while maintaining performance and scalability can also be demanding. Additionally, effective communication with stakeholders—like business analysts, database administrators, and software developers—is crucial to ensure the data model meets both technical and business needs.

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 specialized skills in database design and data warehousing can earn higher salaries, often exceeding $130,000 annually.

What are the most commonly searched types of Data Modeler jobs in Philadelphia, PA?

The most popular types of Data Modeler jobs in Philadelphia, PA are:

What are popular job titles related to Data Modeler jobs in Philadelphia, PA?

For Data Modeler jobs in Philadelphia, PA, the most frequently searched job titles are:

Infographic showing various Data Modeler job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,232 per year, or $59.2 per hour.

$53.75 - $69.75/hr

Other

Posted 24 days ago


Job description

Job Title

Sr. Data Modeler

Location

Malvern, PA – Hybrid – 3 days a week

Duration

6 months + Possible extension

Interview Mode

Video 2 rounds

 

 

2 manager references with LinkedIn

Key Responsibilities:

• Design, develop, and maintain conceptual, logical, canonical, and physical data models, including ERDs and dimensional/star schemas, to support asset management, wealth management, and financial advisory platforms.

• Partner with business stakeholders, data engineers, solution architects, and technical teams to translate complex financial domain requirements into scalable, enterprise data models.

• Model data across key financial subject areas, including financial profiles, advisor teams, securities, holdings, portfolio performance, and risk analytics.

• Apply data modeling best practices, including normalization, slowly changing dimensions (SCD), data lineage, metadata management, and reference data governance.

• Develop and optimize data models across relational databases, cloud platforms, and big data environments such as Snowflake, SQL Server, AWS, and Azure.

• Ensure data models comply with financial services regulatory requirements, including data privacy, auditability, and reference data integrity.

• Collaborate with ETL and data engineering teams to validate source-to-target mappings, troubleshoot data quality issues, and support reporting and analytics initiatives.

Required Qualifications:

• 8+ years of experience in enterprise data modeling and data architecture.

• Proven experience within investment management, asset management, wealth management, or broader financial services environments.

• Strong understanding of conceptual, logical, canonical, and physical data modeling methodologies.

• Hands-on experience designing dimensional (star schema) and normalized relational data models.

• Advanced SQL skills with the ability to analyze, validate, and optimize complex datasets.

• Proficiency with enterprise data modeling tools such as Erwin, ER/Studio, Hackolade, or similar platforms.

• Experience working with cloud data platforms and databases, including Snowflake, SQL Server, AWS, and Azure.

• Knowledge of data governance, metadata management, data lineage, and slowly changing dimension (SCD) concepts.

• Experience partnering with cross-functional teams to translate business requirements into scalable data solutions.

• Familiarity with financial services regulatory and compliance requirements related to data privacy, audit trails, and data integrity.