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Reference Data Jobs in New Jersey (NOW HIRING)

Set and own the AI transformation strategy and multi-year roadmap for the Master and Reference Data organization, translating frontier AI capabilities into prioritized, measurable engineering and ...

... reference models and facilitate their enablement and adoption within the enterprise • Support and maintain multiple dimensions of data architecture including data quality, reference data and master ...

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Support Master Data Management (MDM) initiatives across security, account, client, and reference data domains. * Collaborate with architects, business analysts, governance teams, and application ...

NJ · On-site

$189.59 - $195/hr

Build reusable components using well‑structured, high‑quality code for real‑time integration of reference data (counterparty, client, account, and book) into trade processing, ensuring seamless ...

Showing results 21-40

Reference Data information

See New Jersey salary details

$23K

$94.4K

$205.7K

How much do reference data jobs pay per year?

As of Sep 3, 2026, the average yearly pay for reference data in New Jersey is $94,381.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,858.00 and $131,916.00 per year, depending on experience, location, and employer.

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.

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 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 cities in New Jersey are hiring for Reference Data jobs?

Cities in New Jersey with the most Reference Data job openings:

Infographic showing various Reference Data job openings in New Jersey as of August 2026, with employment types broken down into 78% Full Time, 11% Part Time, and 11% Contract. Highlights an 89% In-person, and 11% Hybrid job distribution, with an average salary of $94,381 per year, or $45.4 per hour.

Data Analyst

Amicis Global

Jersey City, NJ • On-site

Contractor

Re-posted yesterday


Job description

Title: Data Analyst
Location: Jersey City, NJ
Duration: 6+ Months
 
Summary:
This important role will be responsible for defining and creating the Data Quality rules within the AD Information Security department. This is part of the overall cyber data initiative focusing on building the security and risk data platforms for the Cybersecurity Data Lakehouse (CyberDW). The goal of the CyberDW is to centralize the ISDAD data as well as establish effective data governance around the data sources and its data lineage.
This newly formed role will collaborate with developers, data owners, governance leads and business analysts within the IT and CDAO departments as well as other stakeholders aligned with the applications owned by ISDAD.
Summary:
- Partner with the data owners and stakeholders to create KDEs and DQ rules needed for ISDAD data. Partner with the Data Owners and Data Stewards to understand what critical metrics and data fields are needed for Metric Dashboards.
- Perform data validations and reconciliations to assess validity and effectiveness of the DQ rules, conduct QA and UAT, create and maintain detailed test plans, execute test cases, and test scripts to validate CDQ results.
- Defines, tests, and deploys data quality rules to monitor and enforce data integrity across enterprise systems. Responsibilities: Collaborate with data stewards to define rules | Implement validation logic in tools or code | Track rule coverage and effectiveness
07311- Collibra DIP and CDQ products. Important Knowledge of data profiling and validation tools
- Proficiency in SQL or rule based engines
- Understanding of master and reference data management