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Reference Data Jobs in Pennsylvania (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 ...

New

Data Modeler

Malvern, PA · On-site

$53.75 - $69.75/hr

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

New

Sr Data Engineer

Philadelphia, PA

$115K - $138K/yr

Support source ingestion and reference data integration involving datasets such as HIN, DEA, NPI, NCPDP, 340B/PHS, channel outlet data, customer/account data, and other life sciences master/reference ...

Sr Data Engineer

Philadelphia, PA

$115K - $138K/yr

Support source ingestion and reference data integration involving datasets such as HIN, DEA, NPI, NCPDP, 340B/PHS, channel outlet data, customer/account data, and other life sciences master/reference ...

Sr Data Engineer

Philadelphia, PA · On-site +1

$115K - $138K/yr

Support source ingestion and reference data integration involving datasets such as HIN, DEA, NPI, NCPDP, 340B/PHS, channel outlet data, customer/account data, and other life sciences master/reference ...

Data Architect (DWH)

Reading, PA · On-site

$61.25 - $78.75/hr

Contract * 14+ years of experience in IT * 12+ years of Data Engineering, Data Modeling, Data Warehousing, Master Data Management, Reference Data Management, Data Lineage, Data Governance and Meta ...

... basic reference questions and escalate more complex inquiries to senior librarians as needed. o ... make data-informed decisions. o Participate in weeding outdated or unused materials and ...

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Showing results 1-20

Reference Data information

See Pennsylvania salary details

$21.1K

$86.9K

$189.4K

How much do reference data jobs pay per year?

As of Aug 14, 2026, the average yearly pay for reference data in Pennsylvania is $86,906.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,988.00 and $121,468.00 per year, depending on experience, location, and employer.

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

To thrive in a Reference Data role, you need strong analytical skills, attention to detail, and proficiency in managing large datasets, typically supported by a degree in finance, business, or information management. Familiarity with data management software such as Bloomberg, Reuters, or proprietary databases, and knowledge of SQL or data governance tools, are often required. Excellent communication, problem-solving abilities, and teamwork are key soft skills that help you collaborate effectively and resolve data discrepancies. These competencies ensure accurate, consistent, and reliable data that supports essential business operations and decision-making across the organization.

What are the typical daily responsibilities for someone in a reference data position?

Professionals in Reference Data are responsible for managing and maintaining key business datasets, such as client, product, or security master information. Daily tasks often include data entry, validation, remediation of discrepancies, and ensuring data integrity across multiple systems. You’ll work closely with operations, compliance, and IT teams to resolve issues quickly and respond to data requests. Given the importance of accurate reference data to financial transactions and reporting, attention to detail and proactive troubleshooting are essential. This role offers opportunities to develop expertise in data governance and may lead to advancement in data management, analytics, or operations leadership.

What is a reference data?

A Reference Data job involves managing and maintaining critical data sets that support business operations, typically in financial services, healthcare, or enterprise systems. Responsibilities include data governance, validation, enrichment, and ensuring consistency across systems. Professionals in this role work with various stakeholders to standardize data definitions, improve data quality, and support regulatory compliance. They may also use tools and databases to streamline data management and reporting.

Infographic showing various Reference Data job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $86,906 per year, or $41.8 per hour.

$53.75 - $69.75/hr

Other

Posted yesterday

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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.