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Data Integration Engineer Jobs in New Jersey (NOW HIRING)

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files * Exposure to ...

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files * Exposure to ...

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files * Exposure to ...

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files * Exposure to ...

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files * Exposure to ...

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files * Exposure to ...

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files * Exposure to ...

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files * Exposure to ...

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files * Exposure to ...

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files * Exposure to ...

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files * Exposure to ...

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files * Exposure to ...

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files * Exposure to ...

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files * Exposure to ...

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files * Exposure to ...

Bachelor's degree in Computer Science, Engineering, or related technical field. * 7+ years of ETL ... Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files * Exposure to ...

Showing results 41-60

Data Integration Engineer information

See New Jersey salary details

$10

$52

$85

How much do data integration engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data integration engineer 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 a data integration engineer?

Data Integration Engineers are IT professionals who design, build, and maintain systems that combine data from multiple sources into a unified view. They develop and manage data pipelines, ensuring data flows smoothly between databases, applications, and storage solutions. Their work enables organizations to access accurate and consistent information for analytics, reporting, and business decision-making. Data Integration Engineers often use ETL (Extract, Transform, Load) tools, APIs, and custom scripts to achieve seamless data integration.

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

To thrive as a Data Integration Engineer, you need strong skills in data modeling, ETL (extract, transform, load) processes, and experience with database management, often supported by a degree in computer science or a related field. Familiarity with integration tools like Informatica, Talend, or Microsoft SSIS, and knowledge of programming languages such as SQL and Python, are typically required. Excellent problem-solving abilities, attention to detail, and effective communication help you collaborate with cross-functional teams and resolve integration challenges. These skills are critical for ensuring seamless data flow, system interoperability, and the delivery of reliable, actionable business insights.

What are some common challenges data integration engineers face when working with multiple data sources?

Data Integration Engineers often encounter challenges such as handling inconsistent data formats, resolving data quality issues, and ensuring seamless data flow between disparate systems. Integrating legacy databases with modern cloud platforms can require creative problem-solving and careful planning. Additionally, maintaining data security and compliance across various sources demands a strong understanding of protocols and best practices. Collaboration with data architects, developers, and business analysts is crucial to address these challenges effectively and deliver reliable integration solutions.

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

AspectData Integration EngineerData Engineer
Primary FocusDesigning and implementing data pipelines for integration and ETL processesBuilding and maintaining data infrastructure, including storage and processing systems
Skills & CertificationsSQL, ETL tools, data warehousing, cloud platformsSQL, programming (Python, Java), big data technologies, cloud services
Work EnvironmentData teams, analytics departments, data warehousesData engineering teams, infrastructure, data lakes
Industry UsageUsed across industries for data integration tasksUsed for creating scalable data pipelines and infrastructure

While both roles involve working with data, Data Integration Engineers focus on connecting and transforming data from various sources, whereas Data Engineers build the underlying systems and infrastructure to support data storage and processing. Both roles often collaborate but serve different core functions within data teams.

What does a data integration engineer do?

A data integration engineer designs, develops, and maintains systems that combine data from multiple sources to ensure accurate and efficient data flow within an organization. They often use tools like ETL (Extract, Transform, Load) processes, SQL, and data pipelines, and require knowledge of databases and scripting languages. Their work supports data analysis, reporting, and decision-making processes.

What are popular job titles related to Data Integration Engineer jobs in New Jersey?

For Data Integration Engineer jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Data Integration Engineer jobs in New Jersey look for?

The top searched job categories for Data Integration Engineer jobs in New Jersey are:

Infographic showing various Data Integration Engineer job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. 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.

Ab Initio Data Engineer

PB consulting

East Orange, NJ โ€ข Hybrid

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Required Qualifications
  • Bachelorโ€™s degree in Computer Science, Engineering, or related technical field.
  • 7+ years of ETL development experience with 5+ years of hands-on experience in Ab Initio development.
  • Strong expertise with:
    • Ab Initio GDE (Graphical Development Environment)
    • Co>Operating System (Co>Op)
    • Enterprise Meta>Environment (EME)
    • Conduct>It
    • Data Profiler and Continuous Flows
  • Strong understanding of parallel processing concepts, partitioning strategies, and Multi-File System (MFS).
  • Advanced SQL skills with experience in relational databases, especially DB2.
  • Strong experience with Unix/Linux shell scripting.
  • Solid understanding of data warehousing concepts:
    • Dimensional modeling
    • Slowly Changing Dimensions (SCD)
    • Star and Snowflake schemas
  • Experience designing and implementing Kafka-based data pipelines.
  • Strong debugging, troubleshooting, and performance tuning skills for large-volume data processing.
Preferred Qualifications
  • Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files
  • Exposure to Kubernetes or OpenShift environments.
  • Familiarity with Hadoop/Spark ecosystems and hybrid ETL architectures.
  • Experience with API-based integrations and streaming data solutions.
  • Prior experience as a technical lead or in client-facing architecture roles.
Roles and Responsibilities
  • Design, develop, and maintain complex ETL workflows and graphs using Ab Initio GDE.
  • Architect end-to-end data integration solutions across multiple source and target systems including: RDBMS, Mainframe systems, Flat files, Message queues, Streaming platforms
  • Optimize Ab Initio graph performance through: Parallelism, Partitioning techniques (Hash, Broadcast, Range), Layout optimization, Checkpointing strategies
  • Develop and manage solutions using Ab Initio components including Co>Op, EME, Conduct>It, Data Profiler, and Continuous Flows.
  • Implement CDC (Change Data Capture) and near-real-time data processing pipelines.
  • Manage metadata, lineage, and data governance activities within EME.
  • Troubleshoot production issues, perform root-cause analysis, and implement permanent fixes.
  • Define development standards, review ETL code, and enforce Ab Initio best practices.
  • Mentor junior and mid-level Ab Initio developers.
  • Collaborate with data architects, DBAs, and business teams to translate requirements into technical solutions.