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Senior Data Integration Developer Jobs in Secaucus, NJ

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 ...

Montefiore Health System

Senior Data Architect

Bronx, NY · On-site

$73.25 - $98/hr

... data integration patterns, data quality, data privacy ensuring data consistency, accuracy, and ... engineering, analytics, and AI enablement. • Provide thought leadership on emerging data and AI ...

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

As of Aug 7, 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 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 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 job categories do people searching Senior Data Integration Developer jobs in Secaucus, NJ look for? The top searched job categories for Senior Data Integration Developer jobs in Secaucus, NJ are:
What cities near Secaucus, NJ are hiring for Senior Data Integration Developer jobs? Cities near Secaucus, NJ with the most Senior Data Integration Developer job openings:
Senior Data Integration Developer jobs near you

Sr. Data Analyst

Accord Technologies Inc.

Piscataway, NJ • On-site

$87K - $110K/yr

Contractor

Posted 13 days ago

Job description

Senior Data Analyst
Location: Piscataway, NJ (Hybrid/Onsite)
Experience: 10–12+ Years 
Mandatory: Data analyst, Requirements gathering, source data analysis, source-to-target mapping, strong SQL, actuarial or deep insurance domain knowledge, business rule documentation, stakeholder management.Job Summary

We are seeking an experienced Senior Data Analyst with deep expertise in data analysis, business analysis, and insurance/actuarial domains to support enterprise data initiatives. The ideal candidate will have extensive experience gathering business requirements, performing source data analysis, creating source-to-target mappings, documenting business rules, and collaborating with cross-functional stakeholders to deliver high-quality data solutions.

This role requires strong SQL skills, excellent analytical capabilities, and hands-on experience working with actuarial, underwriting, or broker data within the insurance industry. Familiarity with Databricks, Azure, and modern data governance practices is highly desirable.

Key Responsibilities
  • Collaborate with business stakeholders to gather, analyze, and document business and data requirements.
  • Perform detailed source system analysis to understand data structures, relationships, and quality.
  • Develop comprehensive Source-to-Target Mapping (STTM) documents for data migration and integration projects.
  • Analyze complex datasets using advanced SQL to identify trends, anomalies, and business insights.
  • Document business rules, transformation logic, and data validation requirements.
  • Work closely with actuarial, underwriting, and business teams to understand insurance data models and reporting needs.
  • Support data reconciliation, data validation, and quality assurance activities.
  • Participate in data governance initiatives including metadata management, data lineage, and data quality improvements.
  • Collaborate with Data Engineering teams supporting Azure and Databricks-based data platforms.
  • Create functional specifications and support UAT by validating business requirements and data accuracy.
  • Facilitate stakeholder meetings and effectively communicate project status, risks, and recommendations.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, Actuarial Science, Business, or a related field.
  • 10–12+ years of experience as a Data Analyst or Business/Data Analyst.
  • Strong experience with:
    • Requirements gathering and business analysis
    • Source data analysis
    • Source-to-Target Mapping (STTM)
    • Business rule documentation
    • Data reconciliation and validation
    • Stakeholder management
  • Advanced SQL skills for complex querying, analysis, and data validation.
  • Hands-on experience in the Insurance industry, preferably within:
    • Actuarial
    • Underwriting
    • Broker data
  • Strong analytical and problem-solving abilities.
  • Excellent communication and documentation skills.
Preferred Qualifications
  • Hands-on actuarial experience.
  • Strong understanding of Property & Casualty and/or Life Insurance data.
  • Experience working with underwriting and broker datasets.
  • Familiarity with Databricks and Microsoft Azure data platforms.
  • Exposure to data governance frameworks, metadata management, and data lineage.
  • Experience supporting enterprise reporting and analytics initiatives.
  • Knowledge of ETL processes and data integration concepts.
  • Experience working in Agile/Scrum environments.
Technical Skills
  • SQL (Advanced)
  • Data Analysis
  • Source-to-Target Mapping (STTM)
  • Business Requirements Documentation
  • Data Reconciliation
  • Data Validation
  • Databricks (Preferred)
  • Microsoft Azure (Preferred)
  • Data Governance
  • Reporting & Analytics
  • Excel (Advanced)
Domain Expertise
  • Insurance
  • Actuarial
  • Underwriting
  • Broker Data
  • Risk & Financial Data