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Data Integration Manager Jobs in Red Bank, NJ (NOW HIRING)

Nastech Global

Data Integration Developer

New York, NY · On-site

Data Integration Developer Must Have Technical/Functional Skills: * Design and Development of data ... dependencies management. * Hands-on experience with good knowledge of the best practices for ...

Meta

Energy Integration Manager

New York, NY

$160K/yr

Integrate energy data across the org by partnering with data and analytics teams to connect ... that asset management, origination, and wholesale all rely on * Up-level portfolio health ...

Marencor

Data/AI/ML Integration Developer

New York, NY · On-site

$55 - $60/hr

Data/AI/ML Integration Developer Location: New York, NY Role Summary: Create secure, scalable ... Manage vector database operations (e.g., Pinecone/Weaviate) for GenAI search augmentation

Garner Health

Feed Integrations Associate

New York, NY · Remote

$54K - $70K/yr

This is a mission-critical role, managing the data infrastructure that directly impacts our clients ... Lead implementations of new client eligibility and claims data integration feeds * Own maintenance ...

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Data Integration Manager information

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$10

$53

$86

How much do data integration manager jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for data integration manager in Red Bank, NJ is $53.04, according to ZipRecruiter salary data. Most workers in this role earn between $44.66 and $59.71 per hour, depending on experience, location, and employer.

Is data integration a good career?

Data Integration Managers oversee the process of combining data from different sources to ensure consistency and accessibility, often using tools like ETL software and SQL. The role is in demand across industries such as finance, healthcare, and technology, offering opportunities for advancement and specialization. Strong technical skills, problem-solving ability, and knowledge of data governance are essential for success in this field.

What does an integration manager do?

An integration manager oversees the process of combining different software systems and data sources to ensure they work together effectively. They coordinate technical teams, develop integration strategies, and use tools like APIs and middleware to facilitate seamless data flow and system interoperability.

What is the difference between Data Integration Manager vs Data Analyst?

AspectData Integration ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications in data management or integration toolsBachelor's degree in Statistics, Mathematics, or related field; certifications in data analysis or visualization tools
Work EnvironmentCollaborates with IT teams, data engineers, and business units to oversee data integration processesWorks with business stakeholders to analyze data, generate reports, and support decision-making
Employer & Industry UsageCommon in tech, finance, healthcare, and large enterprises managing complex data systemsWidely used across industries for data-driven roles focusing on insights and reporting

While both roles involve working with data, the Data Integration Manager focuses on overseeing the integration and management of data systems, ensuring data flows correctly across platforms. In contrast, the Data Analyst primarily interprets data to generate insights and support business decisions. Both roles require strong technical skills, but their core responsibilities and focus areas differ significantly.

What are some common challenges Data Integration Managers face when coordinating cross-departmental projects?

Data Integration Managers often encounter challenges such as aligning different departments' data standards, managing conflicting priorities, and ensuring data security across systems. Effective communication and strong project management skills are essential for navigating these complexities. Building collaborative relationships and setting clear expectations early in the project can help streamline data flows and minimize bottlenecks.

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

To thrive as a Data Integration Manager, you need expertise in data management, ETL processes, and a strong understanding of database systems, often supported by a degree in computer science or a related field. Familiarity with integration tools like Informatica, Talend, or Microsoft SSIS, as well as experience with cloud platforms and relevant certifications, is typically required. Strong leadership, problem-solving skills, and effective communication help manage cross-functional teams and stakeholder expectations. These skills ensure seamless data flow, system reliability, and successful project delivery in complex data environments.

What does a data integration manager do?

A data integration manager oversees the process of combining data from different sources into a unified system, ensuring data quality, consistency, and accessibility. They design and implement data workflows, often using tools like ETL (Extract, Transform, Load) processes, and coordinate with IT and data teams to support business analytics and decision-making.

Is AI replacing data entry jobs?

AI is automating many data entry tasks, which can reduce the need for manual input and increase efficiency. Data Integration Managers often oversee the implementation of such technologies, requiring skills in data management tools and understanding of automation processes. While some routine jobs may decline, new roles focusing on managing and optimizing AI systems are emerging in the field.
What cities near Red Bank, NJ are hiring for Data Integration Manager jobs? Cities near Red Bank, NJ with the most Data Integration Manager job openings:
Data Integration Manager jobs near you
Infographic showing various Data Integration Manager job openings in Red Bank, NJ as of June 2026, with employment types broken down into 2% As Needed, 61% Full Time, 33% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $110,321 per year, or $53 per hour.

Data Integration Developer

Nastech Global

New York, NY • On-site

Full-time

Re-posted 23 days ago

Job description

Job Title: Senior Engineer
Location: New York, NY (onsite)
Job Type: full time
 
Job Description
Skill: Data Integration Developer
 
Must Have Technical/Functional Skills:
  • Design and Development of data integration workflows, macros, data validation, data transformations, macros, data cleansing, using Alteryx Designer.
  • Alteryx Expert certification (must have or equivalent experience).
  • Python certification, AWS developer certification
Roles & Responsibilities:
 
Must have:
  • Strong hands experience (5+ Years) in design and development of data integration workflows, macros, data validation, data transformations, macros, data cleansing, using Alteryx Designer.
  • 10+ years of data integration experience writing complex SQL queries and building federated queries to connect/source data to/from SQL , NoSQL, API, CSV, Excel, Parquet, SharePoint List, email type repositories.
  • 7+ yeas of strong development experience in any two languages Python (must have) and Java or JavaScript.
  • Strong experience Alteryx API integration and configuring and deploying components into Alteryx Server and Gallery.
  • Hands-on experience to automate Gitlab CI/CD pipelines for automated Alteryx workflow deployment, testing and dependencies management.
  • Hands-on experience with good knowledge of the best practices for maintaining code repository branches.
  • 1-2 years of experience in developing AWS Lambda/functions using python or Java or JavaScript.
  • Experience in developing re-useable processes that can be leveraged and standardized across multiple flows.
  • Ensure application stability and performance by monitoring existing workflows.
  • Experience in producing high and low level technical and solution design and technical specification documents.
  • Troubleshooting and resolving issues related to Alteryx workflows and data connections.
Nice to have:
  • Experience in scripting languages like AWK/bash shell scripting is beneficial.
  • 3+ years of Experience with AWS for building data workflows and transformations using AWS Glue, Aws Ethena, S3, DynamoDB, Postgres
Responsibilities:
  • Contribute as a squad member to design and implement products throughout the PDLC including coding, testing, and documentation independently.
  • Working with Product Owner and Scrum Master in an Agile environment to improve velocity on product delivery.
  • Work as cross-functional team player to augment the squad needs as needed.
  • Contribute to the community of practice and proactively share knowledge with squad members