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Senior Data Integration Developer Jobs in Secaucus, NJ

TiltEdge Solutions LLC

Data Engineer

Jersey City, NJ · On-site

$75/hr

Job Title: Sr Data Engineer Location: Jersey City, NJ(Hybrid). Duration: 6-12 Months Rate: DOE : We ... Design, develop, and support scalable data pipelines and enterprise data integration solutions.

Sonsoft Inc

MS Data Integration

New York, NY · On-site

Primary Skill Microsoft Data Integration Tools Qualifications * Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive ...

Sonsoft Inc

MS Data Integration

New York, NY

Primary Skill Microsoft Data Integration Tools Qualifications Basic Qualifications :- * Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years ...

Mondo

Senior AI Data Engineer

Manhattan, NY · On-site

$65 - $72/hr

In this role, you will work closely with senior data engineers, data scientists, and analysts to ... Ensure data integrity, security, and accessibility. 3. Data Integration: a. Collaborate with data ...

Accord Technologies Inc.

Sr. Data Analyst

Piscataway, NJ · On-site

$87K - $110K/yr

Collaborate with Data Engineering teams supporting Azure and Databricks-based data platforms ... Knowledge of ETL processes and data integration concepts. * Experience working in Agile/Scrum ...

MDAEdge

Integration Developer

Brooklyn, NY · On-site

$54.50 - $72.50/hr

MDAEdge is seeking an Integration Developer to support the CurRent NYC initiative aimed at ... IBM Data power, IBM WebSphere Message Broker, and other integration technologies. Company : The ...

RIT Solutions, Inc.

Senior Data Engineer

Summit, NJ · On-site

$112K - $153K/yr

... integration. Responsibilities : • Architecting, creating and maintaining data pipelines. • ... DevOps capabilities like version control, automated builds, testing and release management ...

Mondo

Data Engineer

Manhattan, NY · On-site

$65 - $72/hr

In this role, you will work closely with senior data engineers, data scientists, and analysts to ... Ensure data integrity, security, and accessibility. 3. Data Integration: a. Collaborate with data ...

Montefiore Health System Inc

Senior Data Architect

Yonkers, NY · On-site

$69.50 - $93/hr

Evaluate and recommend technologies, tools, and platforms for data engineering, analytics, and AI ... Integration, Data Lake or Data Lakehouse, Data Warehousing, Data Products, Data Governance and Data ...

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Senior Data Integration Developer information

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How much do senior data integration developer jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for senior data integration developer in Secaucus, NJ is $62.43, according to ZipRecruiter salary data. Most workers in this role earn between $54.52 and $69.42 per hour, depending on experience, location, and employer.

What is a senior data integration developer?

Senior Data Integration Developers are experienced IT professionals who design, develop, and maintain data integration solutions across multiple systems and platforms. They are responsible for ensuring that data from various sources is accurately collected, transformed, and loaded (ETL) to support business intelligence, analytics, and operational needs. In addition to technical expertise in data integration tools and programming, they often lead projects, mentor junior developers, and collaborate with stakeholders to optimize data workflows. Their work is critical for enabling organizations to leverage data for informed decision-making.

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

To thrive as a Senior Data Integration Developer, you need strong expertise in data modeling, ETL processes, SQL, and a solid understanding of database architectures, typically backed by a degree in computer science or a related field. Familiarity with integration tools such as Informatica, Talend, Microsoft SSIS, and relevant certifications are highly valuable. Exceptional problem-solving, communication, and project management skills set top performers apart in this role. These skills ensure efficient, reliable data flow across systems, supporting organizational decision-making and operational effectiveness.

What are some common challenges senior data integration developers face when working on large-scale projects?

Senior Data Integration Developers often encounter challenges related to managing complex data sources, ensuring data quality, and maintaining system performance as data volumes grow. Coordinating across multiple teams, such as database administrators, data architects, and business analysts, requires excellent communication and project management skills. Additionally, adapting to evolving technology stacks and integrating new tools can add complexity, making it essential to stay updated on industry best practices. Overcoming these challenges is key to delivering reliable, scalable integration solutions.

What job categories do people searching Senior Data Integration Developer jobs in Secaucus, NJ look for?

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Senior Data Engineer with Master Data Management (MDM)

Accord Technologies Inc.

Iselin, NJ • On-site

$107K - $146K/yr

Contractor

Re-posted 8 days ago

Job description

Senior Data Engineer with Master Data Management (MDM)
Work location: Iselin, NJ (Hybrid, 3 days in a week) (Locals needed)
Duration: 12 months
Interview type: inperson (final round)
Rate: Daily rate
Position type: W2 contract
Job Summary:

We are seeking a highly skilled and experienced Senior Data Engineer specializing in Master Data Management (MDM) to join our data team. The ideal candidate will have a strong background in designing, implementing, and managing end-to-end MDM solutions, preferably within the financial sector. You will be responsible for architecting robust data platforms, evaluating MDM tools, and aligning data strategies to meet business needs. 

In-person Interview is required

Key Responsibilities:

  • Lead the design, development, and deployment of comprehensive MDM solutions across the organization, with an emphasis on financial data domains.
  • Demonstrate extensive experience with multiple MDM implementations, including platform selection, comparison, and optimization.
  • Architect and present end-to-end MDM architectures, ensuring scalability, data quality, and governance standards are met.
  • Evaluate various MDM platforms (e.g., Informatica, Reltio, Talend, IBM MDM, etc.) and provide objective recommendations aligned with business requirements.
  • Collaborate with business stakeholders to understand reference data sources and develop strategies for managing reference and master data effectively.
  • Implement data integration pipelines leveraging modern data engineering tools and practices.
  • Develop, automate, and maintain data workflows using Python, Airflow, or Astronomer.
  • Build and optimize data processing solutions using Kafka, Databricks, Snowflake, Azure Data Factory (ADF), and related technologies.
  • Design microservices, especially utilizing GraphQL, to enable flexible and scalable data services.
  • Ensure compliance with data governance, data privacy, and security standards.
  • Support CI/CD pipelines for continuous integration and deployment of data solutions.

Required Qualifications:

  • 12+ years of experience in data engineering, with a proven track record of MDM implementations, preferably in the financial services industry.
  • Extensive hands-on experience designing and deploying MDM solutions and comparing MDM platform options.
  • Strong functional knowledge of reference data sources and domain-specific data standards.
  • Expertise in Python, Pyspark, Kafka, microservices architecture (particularly GraphQL), Databricks, Snowflake, Azure Data Factory, SQL, and orchestration tools such as Airflow or Astronomer.
  • Familiarity with CI/CD practices, tools, and automation pipelines.
  • Ability to work collaboratively across teams to deliver complex data solutions.
  • Experience with financial systems (capital markets, credit risk, and regulatory compliance applications).

Preferred Qualifications:

  • Familiarity with financial data models and regulatory requirements.
  • Experience with Azure cloud platforms
  • Knowledge of data governance, data quality frameworks, and metadata management.