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Data Integration Engineer Jobs in New Jersey (NOW HIRING)

SmartIPlace

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Strong hands-on experience in Data Engineering and enterprise-scale data integration. * Proven experience developing scalable ETL/ELT pipelines and distributed data processing solutions. * Strong SQL ...

Kanak Elite Services Inc

Azure Data Engineer

Weehawken, NJ · On-site

$124K - $149K/yr

AZURE DATA ENGINEER Location: Weehawken, NJ - 5 days onsite (Need Local Candidates from NY, NJ) ... 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 ...

Noblesoft Technologies

Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

Data Engineer Location: Princeton, NJ, USA Mandatory Skills: Key Skills & Technologies ... Data Integration & Management - Integrate structured and unstructured data from internal and ...

Recruit Professional Services

Data Engineer

Bedminster, NJ · On-site

$116K - $140K/yr

Data Engineer Responsibilities * Develop and maintain scripts and tools using Python, PowerShell ... Ensure accurate and efficient data integration of diverse data sources and formats. * Enhance and ...

Bright Mind Solutions LLC

Data Engineer

Newark, NJ · On-site

$55 - $60/hr

AWS Data Engineer Duties: * Design and build data pipelines and ETL workflows using AWS Glue, AWS ... Create and optimize data lakes on Amazon S3 and integrate with Athena and Redshift * Automate data ...

United Airlines

Associate Data Engineer

Bridgewater, NJ

$75K - $95K/yr

Create and execute unit tests, integration tests, and data validation scripts. * Support User ... Basic Python programming and scripting. * Understanding of relational databases. * Familiarity with ...

PB consulting

Ab Initio Data Engineer

Denville, NJ · Hybrid

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 ...

PB consulting

Ab Initio Data Engineer

Randolph, NJ · Hybrid

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 ...

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All JobsData Integration Engineer JobsData Integration Engineer Jobs in New Jersey

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 3, 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:

Data Integration Engineer jobs near you
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.

Data Engineer

SmartIPlace

Jersey City, NJ • On-site

$119K - $143K/yr

Contractor

Re-posted 3 days ago

Job description

Hi,

I hope you are doing well.

Please find the job details below:

Job Title: Data Engineer

Must Have Qualifications:

  • Strong hands-on experience in Data Engineering and enterprise-scale data integration.

  • Proven experience developing scalable ETL/ELT pipelines and distributed data processing solutions.

  • Strong SQL expertise with programming experience in Python, PySpark, or Snowpark.

  • Experience with dbt (Data Build Tool) for data transformation, modeling, ELT pipeline development, testing, documentation, and version control.

  • Hands-on experience with Snowflake, Databricks, Azure, AWS, or GCP.

  • Strong understanding of data lake, data warehouse, and lakehouse architectures.

  • Experience with orchestration tools such as Airflow, Databricks Workflows, or Snowflake Tasks.

  • Experience supporting Master Data Management (MDM) and enterprise data governance initiatives.

  • Familiarity with metadata management, data lineage, data cataloging, and data quality processes.

  • Experience integrating APIs, batch file ingestion, and real-time streaming technologies such as Kafka or Spark Streaming.

  • Knowledge of enterprise security, governance, RBAC, encryption, and data masking.

  • Experience working in Agile and DevOps environments with CI/CD pipelines.

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

Schedule: Standard

Position Overview

We are seeking a hands-on Data Engineer with strong experience building scalable enterprise data solutions within Financial Services environments. The ideal candidate will have expertise in cloud-based data platforms, modern data engineering practices, enterprise data integration, and Master Data Management (MDM). This role will support operational, analytical, and regulatory data initiatives while delivering secure, reliable, and scalable data solutions.

Responsibilities

  • Design, develop, and support scalable data pipelines and enterprise data integration solutions.

  • Build and maintain batch and real-time data ingestion, transformation, and processing frameworks.

  • Develop cloud-native data engineering solutions supporting enterprise data lake, warehouse, and lakehouse platforms.

  • Implement ETL/ELT processes for structured, semi-structured, and unstructured data sources.

  • Support Master Data Management (MDM) initiatives across security, account, client, and reference data domains.

  • Collaborate with architects, business analysts, governance teams, and application teams to deliver enterprise data solutions.

  • Implement data quality validation, monitoring, metadata management, and data lineage processes.

  • Support cloud migration and modernization initiatives involving legacy and enterprise data platforms.

  • Optimize data processing, storage, and pipeline performance for scalability and operational efficiency.

  • Ensure compliance with enterprise security, governance, and regulatory standards.

  • Support reporting, analytics, and downstream data consumption through reliable data delivery.

Preferred Skills

  • Financial Services or Banking industry experience.

  • Experience supporting regulatory, risk, compliance, or operational reporting environments.

  • Exposure to real-time data processing and streaming technologies.

  • Familiarity with CI/CD processes and infrastructure automation.

  • Strong analytical, troubleshooting, and problem-solving skills.

  • Excellent communication and collaboration abilities.

Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

Social media

Facebook

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