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Data Integration Manager Jobs in Connecticut (NOW HIRING)

Oxbridge Health

Data Integration Lead

Norwalk, CT · On-site

You will define and manage external data contracts, maintain partner-specific file and API ... Own technical integrations with TPAs, provider networks, and other external healthcare partners.

Oxbridge Health

Data Integration Lead

Norwalk, CT · On-site

You will define and manage external data contracts, maintain partner-specific file and API ... Own technical integrations with TPAs, provider networks, and other external healthcare partners.

Sonsoft Inc

Big data - Integrate

Hartford, CT · On-site

Ability to understand DWH / Informatics data integration and processing for Healthcare * Ability to ... Strong verbal and written communication skills as well as good time-management and organizational ...

Sonsoft Inc

Big data - Integrate

Hartford, CT · On-site

Ability to understand DWH / Informatics data integration and processing for Healthcare * Ability to ... Strong verbal and written communication skills as well as good time-management and organizational ...

Sonsoft Inc

Big data - Integrate

Hartford, CT · On-site

$53.50 - $69.25/hr

Ability to understand DWH / Informatics data integration and processing for Healthcare * Ability to ... Strong verbal and written communication skills as well as good time-management and organizational ...

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All JobsData Integration JobsData Integration Manager JobsData Integration Manager Jobs in Connecticut

Data Integration Manager information

See Connecticut salary details

$9

$49

$80

How much do data integration manager jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for data integration manager in Connecticut is $49.17, according to ZipRecruiter salary data. Most workers in this role earn between $41.39 and $55.34 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 popular job titles related to Data Integration Manager jobs in Connecticut?

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

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

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

What cities in Connecticut are hiring for Data Integration Manager jobs?

Cities in Connecticut with the most Data Integration Manager job openings:

Data Integration Manager jobs near you
Infographic showing various Data Integration Manager job openings in Connecticut as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, 2% Temporary, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $102,264 per year, or $49.2 per hour.

Data Integration Lead

Norwalk, CT • On-site

Oxbridge Health
See more jobs at Oxbridge Healthexternal

Full-time

Re-posted 11 days ago

Key responsibilities

  • Own the technical integrations with TPAs, provider networks, and other external healthcare partners.

  • Design, maintain, and operate data ingestion pipelines, including mapping partner data into Oxbridge's canonical data model and ensuring data quality and reliability.

  • Collaborate with partner technical teams to troubleshoot, resolve issues, and manage changes to data exchange specifications.

Job description

Company Overview:
Our company is a start-up that specializes in episodes of care benefit plans. We have a deep expertise in episode pricing and analytics and our goal is to bring transparency and efficiency to the healthcare market. Our company is committed to providing high-quality, affordable healthcare to our customers.
Role Description
The Healthcare Data Integration Lead is responsible for the end-to-end lifecycle of external healthcare data integrations at Oxbridge Health. This role owns the technical implementation and day-to-day operation of data exchanges with Third-Party Administrators (TPAs), provider networks, and other healthcare partners.
You will define and manage external data contracts, maintain partner-specific file and API specifications, translate external data into Oxbridge's canonical data model, and ensure timely, accurate, and reliable delivery of data to internal consumers including Engineering, Operations, Analytics, Clinical, and Machine Learning teams.
This is a hands-on technical leadership role combining software engineering, data integration, and partner collaboration, with a clear growth path toward leading the Data Integration function.
Responsibilities
  • Own technical integrations with TPAs, provider networks, and other external healthcare partners.
  • Own the ingestion, lifecycle, and governance of provider, network, and reference data used across the platform.
  • Define, maintain, and version partner integration specifications, including file layouts, APIs, schemas, and data contracts.
  • Lead onboarding of new partners and manage changes to existing integrations while minimizing downstream impact.
  • Collaborate directly with partner technical teams to troubleshoot and resolve production data exchange issues.
  • Ensure reliable, secure, and timely delivery of healthcare data across all integrations.

Canonical Data & Integration Engineering
  • Design and maintain mappings from partner-specific formats into Oxbridge's canonical data model.
  • Define reusable integration patterns for file-based, API-based, and event-driven data exchange.
  • Build and enhance ingestion services supporting validation, transformation, reconciliation, and processing workflows.
  • Maintain backward compatibility as partner formats and business requirements evolve.
  • Collaborate with Engineering teams to ensure internal consumers receive consistent, well-defined data.

Data Operations & Reliability
  • Operate and support production ingestion pipelines for external healthcare data.
  • Monitor integration health, data quality, and delivery SLAs.
  • Implement validation, reconciliation, duplicate detection, and error recovery processes.
  • Perform root cause analysis for production integration issues and coordinate resolution with internal teams and external partners.
  • Improve observability through monitoring, alerting, dashboards, and operational runbooks.

Data Quality & Governance
  • Establish standards for external data quality, validation, and canonical mapping.
  • Ensure incoming data is complete, accurate, and consistent before being consumed by downstream systems.
  • Partner with Operations, Analytics, Clinical, and Product teams to continuously improve data quality.
  • Ensure all integrations comply with HIPAA and applicable healthcare data regulations.
  • Deliver trusted, standardized datasets that enable Operations, Engineering, Analytics, and Machine Learning teams.

Collaboration & Leadership
  • Serve as the primary technical point of contact for healthcare data integrations.
  • Partner with Engineering, Product, Operations, Analytics, and external organizations to define integration priorities and resolve complex data challenges.
  • Mentor engineers and promote best practices in integration engineering and operational excellence.
  • Contribute to hiring, process improvements, and the evolution of the Data Integration function.

Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related technical field.
  • 5-7+ years of experience in healthcare integration engineering, backend engineering, data engineering, or similar roles.
  • Experience designing, implementing, and operating partner integrations using file-based (CSV, JSON, XML) and API-based data exchanges.
  • Strong experience with data ingestion, transformation (ETL/ELT), canonical data modeling, and validation frameworks to ensure accurate and reliable data exchange.
  • Experience operating production data pipelines with a focus on reliability, observability, and troubleshooting.
  • Experience defining integration contracts and collaborating directly with external partners.
  • Strong SQL and AWS experience (S3, Lambda, SQS, EventBridge, Glue).
  • Excellent communication and stakeholder management skills.

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