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Data Integration Manager Jobs in New York (NOW HIRING)

GG Tech Global

Data Product Manager

Manhattan, NY · On-site

Integration Management & Scalability * Manage and streamline the growing queue of data file integrations across our entire customer base. * Balance the technical support requirements of existing ...

Accenture

OneStream Integration Lead

New York, NY · On-site

Develop and configure OneStream Data Management workflows including Import, Export, Transform, and ... Perform integration testing, data reconciliation, and validation across financial periods.

ClifyX

Talend, Data Integration ETL

Somerset, NJ · On-site

Job Summary : ClifyX is a company focused on data integration solutions, seeking a seasoned ... AWS data management stack like Redshift, RDS etc. • Good to have knowledge on Java Company

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Data Integration Manager information

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How much do data integration manager jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data integration manager in New York is $56.54, according to ZipRecruiter salary data. Most workers in this role earn between $47.60 and $63.65 per hour, depending on experience, location, and employer.

What are some common challenges a data integration manager faces 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 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 is a data integration manager?

A data integration manager oversees the process of combining data from different sources into a unified system, ensuring data quality and consistency. They often work with tools like ETL (Extract, Transform, Load) processes and require strong project management and technical skills. Their role involves coordinating teams, managing data workflows, and implementing integration solutions to support business analytics and decision-making.

What are the most commonly searched types of Data Integration jobs in New York?

The most popular types of Data Integration jobs in New York are:

What are popular job titles related to Data Integration Manager jobs in New York?

For Data Integration Manager jobs in New York, the most frequently searched job titles are:

What job categories do people searching Data Integration Manager jobs in New York look for?

The top searched job categories for Data Integration Manager jobs in New York are:

What cities in New York are hiring for Data Integration Manager jobs?

Cities in New York with the most Data Integration Manager job openings:

Data Integration Manager jobs near you
Infographic showing various Data Integration Manager job openings in New York as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $117,610 per year, or $56.5 per hour.

Data Product Manager

GG Tech Global

Manhattan, NY • On-site

Other

Posted 19 days ago

Job description

Job Duties:

Integration Management & Scalability

  • Manage and streamline the growing queue of data file integrations across our entire customer base.
  • Balance the technical support requirements of existing client integrations with the active onboarding and scoping of new customer accounts.
  • Map out, build, and maintain custom integration pipelines that accommodate specific client nuances, ensuring data reliability without a unified multi-tenant architecture.
  • Utilize [Healthie’s GraphQL API reference, queries, and mutations](1.2.1, 1.3.8) to design accurate, efficient data-mapping payloads for internal engineering teams.
  • Actively document processes, create template schemas, and cross-train team members to distribute knowledge and workload away from single-resource bottlenecks.
  • Partner directly with new clients to gather requirements, review custom data specifications, and map their legacy data architectures.
  • Author comprehensive technical user stories, system data mappings, and precise acceptance criteria to guide data engineering sprint goals.
  • Provide life-cycle monitoring, troubleshooting, and continuous maintenance for custom file transfers, automated webhooks, and active integrations.
  • Act as our resident expert on Healthie system architecture, clinical fields, and backend reporting tools.
  • Leverage the Healthie API and webhook events to ingest demographic, scheduling, and billing data cleanly into our core reporting environments.
  • Maintain strict HIPAA compliance data boundaries when managing Protected Health Information (PHI) during custom bulk data transitions.

 

Required Qualifications & Skills

  • 4 to 6 years of experience in Data Product Management, Technical Program Management, or Data Integration Engineering.
  • 3 years experience with GraphQL concepts (the ability to read a schema, query data fields, and understand mutations) alongside intermediate SQL proficiency to validate data payloads independently.
  • 3 years’ experience handling high-volume file integrations, flat-file ingestion pipelines (CSV, XML, JSON), or custom SFTP client endpoints.
  • 1 year of hands-on experience navigating the backend structure, custom charting templates, and extraction patterns of the Healthie EMR.
  • 3+ years writing technical user stories, translating client specifications into development frameworks, and optimizing backlogs in Jira or Asana.
  • Ability to identify data translation errors, map single-tenant variations, and systematically resolve integration breaks.

 

Preferred

  • Strong GraphQL and SQL proficiency to validate file integration data payloads independently.
  • Prior experience working in an early-to-mid stage digital health startup experiencing high scaling demands.
  • Familiarity with healthcare standards such as HL7 or FHIR

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