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Data Integration Developer Jobs in New Jersey (NOW HIRING)

Precision Technologies Corp

Snowflake Developer

Iselin, NJ · On-site

$50 - $68.50/hr

Title: Snowflake Developer Location: Iselin, NJ (Hybrid - 3 days in a week) Type: Long Term ... Develop and maintain ETL processes using SQL and SSIS to ensure efficient data integration and ...

Kanak Elite Services Inc

Azure Data Engineer

Weehawken, NJ · On-site

$124K - $149K/yr

... Developer with strong PostgreSQL knowledge to design, develop, and maintain data pipelines for ... Data Integration and Transformation: * Design and implement data transformation logic within ADF ...

Precision Technologies Corp

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Role - Data Engineer Location - New Jersey, NJ Type - Full-Time Lead the development and ... Architect, design, and deploy data integration, streaming, and analytics solutions leveraging Spark ...

Scalence L.L.C.

Seismic LiveDocs Sendior Developer

Newark, NJ · On-site

$52.50 - $69.75/hr

L.C. is seeking a highly skilled Seismic LiveDocs Senior Developer to design, develop, implement ... Integrate LiveDocs solutions with various data sources (e.g., CRM, CPQ, ERP, internal databases ...

Noblesoft Technologies

Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

Git • DevOps & CI/CD: Basic understanding of CI/CD pipelines and infrastructure as code (e.g ... Data Integration & Management - Integrate structured and unstructured data from internal and ...

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All JobsData Integration Developer JobsData Integration Developer Jobs in New Jersey

Data Integration Developer information

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$10

$52

$85

How much do data integration developer jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for data integration developer in New Jersey is $52.47, according to ZipRecruiter salary data. Most workers in this role earn between $44.18 and $59.04 per hour, depending on experience, location, and employer.

What is the difference between Data Integration Developer vs Data Engineer?

AspectData Integration DeveloperData Engineer
Required CredentialsBachelor's in CS, IT, or related field; certifications like Talend or InformaticaBachelor's or higher in CS, Software Engineering; certifications in cloud platforms or big data tools
Work EnvironmentCollaborates with data analysts, ETL teams, and business units; often in IT or data teamsWorks on data pipelines, architecture, and infrastructure; in data engineering or data platform teams
Employer & Industry UsageUsed across industries for data migration, integration, and ETL processesUsed in data-heavy industries for building scalable data systems and pipelines

While both roles focus on data handling, Data Integration Developers primarily design and implement data pipelines for integration and ETL tasks, whereas Data Engineers build and maintain the infrastructure and architecture for large-scale data processing. The roles often overlap but differ in scope and technical focus.

What does a Data Integration Developer do?

A Data Integration Developer is responsible for designing, building, and maintaining systems that combine data from different sources into a unified view for analysis and reporting. They work with various data formats and platforms, develop ETL (Extract, Transform, Load) processes, and ensure the accuracy and efficiency of data flow across an organization. Their role often involves collaborating with data architects, analysts, and other IT professionals to support business intelligence and data warehousing initiatives.

What are some common challenges Data Integration Developers face when working with diverse data sources, and how can they be addressed?

Data Integration Developers often encounter challenges when connecting and consolidating data from a variety of sources with different formats, structures, and protocols. Issues like inconsistent data quality, incompatible data schemas, and real-time synchronization can arise. Addressing these challenges typically involves robust data mapping, implementing data validation rules, and using middleware or ETL (Extract, Transform, Load) tools that support multiple data formats. Effective communication with stakeholders and thorough documentation also help ensure smooth integration processes.

What Is a Data Integration Developer?

A data integration developer uses a wide set of skills to support the performance of a data warehouse, from analyzing and managing information to supporting team members and thinking creatively to solve problems. Duties include studying data sources and data models, planning data solutions, delivering data integrations, setting mediated schemas through databases, and mentoring coworkers to follow procedures and answer technical questions. Job qualifications typically include a bachelor’s degree in computer science or software engineering and experience in computer programming and mathematics. Consulting and communication skills are helpful in this career.

What are the key skills and qualifications needed to thrive as a Data Integration Developer, and why are they important?

To thrive as a Data Integration Developer, you need strong skills in data modeling, ETL (extract, transform, load) processes, and database management, typically backed by a degree in computer science or a related field. Familiarity with integration tools like Informatica, Talend, or Microsoft SSIS, as well as proficiency in SQL and relevant certifications, is often required. Analytical thinking, attention to detail, and effective communication are vital soft skills for identifying integration needs and collaborating with cross-functional teams. These skills ensure seamless data flow, accurate reporting, and efficient support of business intelligence initiatives.
More about Data Integration Developer jobs
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What are popular job titles related to Data Integration Developer jobs in NJ? For Data Integration Developer jobs in NJ, the most frequently searched job titles are:
Data Integration Developer jobs near you
Infographic showing various Data Integration Developer job openings in New Jersey as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $109,139 per year, or $52.5 per hour.
Snowflake Developer

Snowflake Developer

Precision Technologies Corp

Iselin, NJ • On-site

$50 - $68.50/hr

Contractor

Re-posted 4 days ago

Job description

Title: Snowflake Developer

Location: Iselin, NJ (Hybrid – 3 days in a week) 

Type: Long Term Contract 

Job Description -  

We are seeking an experienced Senior Snowflake Developer who will be responsible for designing, developing, and maintaining our data warehouse solutions on the Snowflake platform. The ideal candidate should also be proficient in SQL and have a strong background in SQL Server Integration Services (SSIS) for data integration and ETL processes. 
Key Responsibilities: 

Design, develop, and optimize Snowflake-based data warehouse solutions to meet business requirements. 

Collaborate with stakeholders to gather and analyze data requirements, translating them into technical specifications. 

Develop and maintain ETL processes using SQL and SSIS to ensure efficient data integration and migration. 
Implement data pipelines and workflows in Snowflake to support data analytics and reporting needs. 
Monitor and tune Snowflake performance to ensure optimal data processing and query execution. 
Ensure data quality, consistency, and integrity across the data warehouse. 
Provide technical support and troubleshooting for Snowflake and SSIS-related issues. 
Stay current with Snowflake features, best practices, and industry trends. 
Document data models, processes, and workflows for future reference and training purposes. 

 

Required Qualifications: 

Minimum of 8+ years of experience as a Snowflake Developer or in a similar role. 
Strong proficiency in Snowflake, including data modeling, performance tuning, and security. 
Solid understanding of SQL and experience with SQL Server Integration Services (SSIS). 
Knowledge of data warehousing concepts, ETL processes, and data integration best practices. 
Experience with data visualization tools (e.g., Tableau, Power BI) is a plus. 
Strong problem-solving skills and attention to detail. 
Excellent communication and collaboration skills. 

 

Preferred Qualifications: 

Snowflake certifications (e.g., SnowPro Core Certification). 
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). 
Familiarity with Agile development methodologies. 
Experience with version control systems (e.g., Git).