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Data Integration Jobs in Connecticut (NOW HIRING)

CVS Health

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develop data integration solutions leveraging APIs, event-driven architectures, and cloud-native services. Cloud Data Platform Development * Build and support enterprise-grade data lake, data ...

Neshent Technologies

$129K - $170K/yr

Collaborate with Scrum teams to deliver high-quality analytics and data integration solutions. * Act as the voice of customers and business stakeholders, ensuring product decisions deliver maximum ...

Neshent Technologies

$128K - $169K/yr

Collaborate with Scrum teams to deliver high-quality analytics and data integration solutions. * Act as the voice of customers and business stakeholders, ensuring product decisions deliver maximum ...

Neshent Technologies

$129K - $171K/yr

Collaborate with Scrum teams to deliver high-quality analytics and data integration solutions. * Act as the voice of customers and business stakeholders, ensuring product decisions deliver maximum ...

Neshent Technologies

CT · On-site

$126K - $166K/yr

Collaborate with Scrum teams to deliver high-quality analytics and data integration solutions. * Act as the voice of customers and business stakeholders, ensuring product decisions deliver maximum ...

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All JobsData Integration JobsData Integration Jobs in Connecticut

Data Integration information

See Connecticut salary details

$9

$49

$80

How much do data integration jobs pay per hour?

As of Aug 19, 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 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $102,264 per year, or $49.2 per hour.

Senior Product Manager - Data Analytics & Cloud Platform

Neshent Technologies

Collinsville, CT • On-site

$131K - $173K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Roles & Responsibilities
  • Own the vision, strategy, roadmap, and lifecycle of enterprise data products.
  • Serve as the Product Owner and subject matter expert for Cloud Analytics initiatives.
  • Partner with business stakeholders, engineering teams, and leadership to define product requirements and priorities.
  • Manage and prioritize the product backlog, ensuring alignment with business objectives.
  • Create and refine user stories, acceptance criteria, and sprint priorities for Agile delivery teams.
  • Drive the design, implementation, enhancement, and sustainment of data products.
  • Collaborate with Scrum teams to deliver high-quality analytics and data integration solutions.
  • Act as the voice of customers and business stakeholders, ensuring product decisions deliver maximum value.
  • Monitor product performance, identify improvement opportunities, and drive continuous innovation.
  • Facilitate Agile ceremonies and ensure successful execution of Scrum and SAFe practices.
  • Communicate product roadmap, progress, risks, and outcomes to leadership and key stakeholders.
  • Support continuous improvement initiatives and promote best practices in Agile product management.
Required Technical/Functional Skills
  • 10+ years of experience in Product Management, Product Ownership, or Business Analysis within enterprise IT environments.
  • Proven experience managing Cloud Analytics, Data Analytics, or Data Platform products.
  • Strong understanding of data analytics, data science, and data integration concepts.
  • Experience defining product vision, strategy, roadmap, and execution for enterprise data products.
  • Hands-on experience with Agile methodologies, including Scrum and SAFe.
  • Strong experience managing product backlogs, user stories, acceptance criteria, and release planning.
  • Proficiency with Jira, Confluence, Microsoft Visio, Whiteboard, and PowerPoint.
  • Excellent stakeholder management, communication, analytical, and problem-solving skills.
Preferred Skills
  • Experience working in Claims, Insurance, Consumer, or Leave Management domains.
  • Knowledge of Cloud Analytics platforms, Data Warehousing, and Data Integration solutions.
  • Experience collaborating with cross-functional engineering, analytics, and business teams.
  • Ability to translate business needs into scalable data product solutions.

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