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Contract Data Integration Jobs in Whiting, NJ (NOW HIRING)

This is a 1+ year contract engagement. What You'll Do * Design and develop key modules within our client's system * Collaborate with technical and product teams to ensure seamless data integration ...

Software Integration & Test Engineer

Moorestown, NJ · On-site

$102K - $138K/yr

... diagnostic data to support root cause analysis. * Develop, maintain, and execute automated ... contract(s). * 2-4 years of experience in software integration, system test, or software ...

Integration & Test Engineer

Moorestown, NJ · On-site

$102K - $138K/yr

System Certification Activities Represent the organization on contracts and serve as a technical ... Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy ...

Trenton, NJ Contract Duration: 12+ Months (Possibilities of Extensions) Interview Type: Both Web ... Integrate automated quality gates and data tests directly into DevOps and CI/CD deployment ...

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Contract Data Integration information

See Whiting, NJ salary details

$10

$52

$85

How much do contract data integration jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for contract data integration in Whiting, NJ is $52.66, according to ZipRecruiter salary data. Most workers in this role earn between $44.33 and $59.28 per hour, depending on experience, location, and employer.

What is a contract data integration specialist?

A Contract Data Integration specialist is a professional responsible for combining, transforming, and managing data from various contract management systems into a unified format. They work to ensure that data from different sources—such as procurement, legal, and vendor management platforms—can be seamlessly accessed, analyzed, and reported. The role typically involves using integration tools, APIs, and data mapping techniques to automate workflows and improve data accuracy. This helps organizations maintain compliance, streamline contract processes, and make data-driven decisions.

What are some common challenges faced by professionals in contract data integration roles, and how can they be addressed?

Professionals in Contract Data Integration often encounter challenges such as consolidating data from diverse sources, ensuring data accuracy, and maintaining data confidentiality. Navigating different contract management systems and formats can be complex, requiring strong technical skills and attention to detail. Building effective communication channels with legal, procurement, and IT teams is crucial for successful integration projects. Staying updated on industry best practices and utilizing automation tools can help streamline processes and reduce errors.

What are the key skills and qualifications needed to thrive as a contract data integration specialist, and why are they important?

To thrive as a Contract Data Integration Specialist, you need strong data analysis skills, experience with data mapping, and knowledge of contract management processes, typically supported by a degree in information systems or a related field. Familiarity with data integration tools like Informatica, MuleSoft, or Microsoft SSIS, as well as experience with contract lifecycle management (CLM) systems, is commonly required. Attention to detail, problem-solving, and effective communication are important soft skills for coordinating with stakeholders and ensuring data accuracy. These skills are crucial for successfully merging contract data from multiple sources, minimizing errors, and supporting business decision-making.

What is the difference between Contract Data Integration vs Data Analyst?

AspectContract Data IntegrationData Analyst
Required SkillsData mapping, ETL processes, database managementData analysis, visualization, statistical skills
Work EnvironmentProject-based, technical teams, IT departmentsBusiness units, reporting teams, analytics departments
CertificationsETL tools, database certifications, data managementExcel, SQL, Tableau, statistical certifications

Contract Data Integration specialists focus on connecting and managing data flows between systems, emphasizing technical skills like ETL and database management. Data Analysts interpret data to generate insights, requiring analytical and visualization skills. While both roles work with data, their core functions and skill sets differ, making them distinct but complementary in data-driven organizations.

Infographic showing various Contract Data Integration job openings in Whiting, NJ as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $109,533 per year, or $52.7 per hour.

Data Modeler - Ex-JPMC

Flexon Technologies Inc.

Mount Laurel Township, NJ • On-site

Other

Posted yesterday

New


Job description

Job Title: Data Modeler - Ex-JPMC

Location: Mount Laurel, NJ (On-Site)

Duration: Long Term Contract

Need Ex-JPMC Candidate.

Job Description:

Job Overview:

The Data Modeler role involves designing and implementing data models that support data analytics and business intelligence initiatives using the Azure stack, including Azure Data Bricks and CosmosDB. The ideal candidate will demonstrate expertise in data modeling techniques and have a strong understanding of database technologies, ensuring data integrity and optimization for performance.

Key Responsibilities:

- Design and create logical and physical data models based on business requirements.

- Collaborate with data engineers and analysts to support data integration and data warehouse activities.

- Utilize Azure Data Bricks for processing and transforming data.

- Implement and manage data structures in CosmosDB to support applications and analytics.

- Ensure data model consistency, accuracy, and performance across various systems and platforms.

- Document data models and provide training for end-users in best practices for data usage.

Required Qualifications/Experience:

- Bachelor's degree in Computer Science, Information Systems, or a related field.

- 5+ years of experience in data modeling and database design.

- Extensive experience with Azure cloud services, particularly Azure Data Bricks and CosmosDB.

- Strong understanding of relational and non-relational database systems.

Preferred Skills:

- Proficient with SQL and NoSQL databases.

- Experience with ETL tools and processes.

- Familiarity with banking and financial services data management best practices.