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Data Integration Jobs in Connecticut (NOW HIRING)

Oxbridge Health

Data Integration Lead

Norwalk, CT · On-site

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 ...

Oxbridge Health

Data Integration Lead

Norwalk, CT · On-site

$150 - $200/hr

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 ...

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 understand DWH / Informatics data integration and processing for Healthcare * Good Knowledge of ...

Sonsoft Inc

Big data - Integrate

Hartford, CT · On-site

Ability to understand DWH / Informatics data integration and processing for Healthcare * Ability to understand DWH / Informatics data integration and processing for Healthcare * Good Knowledge of ...

Sonsoft Inc

Big data - Integrate

Hartford, CT · On-site

Ability to understand DWH / Informatics data integration and processing for Healthcare * Ability to understand DWH / Informatics data integration and processing for Healthcare * Good Knowledge of ...

Sonsoft Inc

Big data - Integrate

Hartford, CT · On-site

Ability to understand DWH / Informatics data integration and processing for Healthcare * Ability to understand DWH / Informatics data integration and processing for Healthcare * Good Knowledge of ...

Sunrise Systems, Inc.

Data Analyst III

Windsor, CT · On-site

WINDSOR, CT Duration: 06 months on W2 contract We are looking for a motivated Junior to Mid-Level Data & Integration Analyst to support data integration, reporting, and troubleshooting efforts. This ...

Prophecy Technologies

IT Senior Data Architect

Berlin, CT · On-site

$66.75 - $89.25/hr

This role provides technical leadership for data platforms, integration, governance, and analytics solutions, ensuring scalable, secure, and high-quality data capabilities across the organization.

Novocure

Data Architect

New Haven, CT · On-site

$64 - $82.50/hr

Develop enterprise data models, integration patterns, and architecture standards that support operational and analytical workloads * Lead architecture decisions related to data governance, quality ...

Novocure Inc

Data Architect

New Haven, CT · On-site

$64 - $82.50/hr

Develop enterprise data models, integration patterns, and architecture standards that support operational and analytical workloads * Lead architecture decisions related to data governance, quality ...

Audiocom, Inc.

AV Integration Rack Builder

Norwalk, CT · On-site

$24 - $30/hr

About Realm Realm is a systems integration company based in Norwalk, Connecticut, specializing in the design, development, and installation of elegant, intuitive control systems for lighting ...

Tiger Analytics, LLC

GenAI Data Engineer

Hartford, CT · On-site

$100 - $125/hr

As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data ...

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Data Integration information

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How much do data integration jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for data integration 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 is a data integration?

A Data Integration job involves combining data from different sources into a unified view for analysis, reporting, and operational use. Professionals in this role design, develop, and maintain data pipelines to ensure seamless data flow between systems. They often work with ETL (Extract, Transform, Load) processes, APIs, and cloud platforms to facilitate integration. Strong skills in SQL, data modeling, and tools like Informatica, Talend, or Apache Nifi are commonly required. Their goal is to ensure data accuracy, consistency, and availability for business and analytical use.

What are the typical daily responsibilities of someone working in data integration?

Data Integration professionals are often responsible for designing, developing, and maintaining ETL pipelines that transfer and transform data between different systems. Their day-to-day tasks may include analyzing data sources, troubleshooting data inconsistencies, optimizing integration workflows, and creating documentation for data processes. Collaboration is frequent, as they work closely with database administrators, data analysts, and business stakeholders to ensure data accuracy and availability. Staying updated with evolving tools and best practices also forms a key part of their ongoing responsibilities.

What are the key skills and qualifications needed to thrive in data integration, and why are they important?

To thrive as a Data Integration professional, you need strong knowledge of data management principles, proficiency in SQL, ETL processes, and experience with data warehousing concepts, often supported by a bachelor's degree in computer science or a related field. Familiarity with integration platforms such as Informatica, Talend, or Microsoft SSIS, as well as certifications like Certified Data Management Professional (CDMP), are commonly beneficial. Excellent problem-solving, communication, and collaboration skills help manage complex projects and liaise with stakeholders across technical and business teams. These abilities are crucial for ensuring seamless, accurate data flow that supports informed business decisions and operational efficiency.

How to become a data integration specialist?

To become a data integration specialist, you typically need a bachelor's degree in computer science, information technology, or a related field. Gaining experience with data management, ETL tools, and programming languages like SQL, Python, or Java is essential, along with knowledge of database systems and data warehousing. Certifications such as Certified Data Management Professional (CDMP) or vendor-specific credentials can enhance job prospects.

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

The most popular types of Data Integration jobs in Connecticut are:

What are popular job titles related to Data Integration jobs in Connecticut?

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

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

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

Data Integration jobs near you
Infographic showing various Data Integration job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $102,264 per year, or $49.2 per hour.

Data Integration Lead

Oxbridge Health

Norwalk, CT • On-site

Full-time

Re-posted 6 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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