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Data Integration Developer Jobs (NOW HIRING)

Data/AI/ML Integration Developer Location: New York, NY Role Summary: Create secure, scalable integration pipelines and APIs connecting clinical systems, Snowflake data stores, and AI model endpoints.

Data Integration Engineer Location: Dallas TX Duration: 6 to 12+ Months Technical Skills: * Proficient in Apache Kafka concepts (producers, consumers, topics, partitioning, etc.) * Expertise in ...

The Data Integration Engineer will design, develop, and maintain ETL pipelines and data models that support Process Intelligence initiatives. Responsibilities : • Lead design, development, and ...

Integration Developer

Boston, MA · On-site

$54.75 - $72.75/hr

Integration Developer needed for Motion Recruitment Partners LLC located in Boston, MA ... Design, build, and maintain data integration solutions to connect multiple systems and support ...

Krispy Kreme's Data Integration Engineer will be responsible for designing, implementing, and maintaining data integration solutions, creating robust data integration pipelines that connect B2B ...

Krispy Kreme's Data Integration Engineer will be responsible for designing, implementing, and maintaining data integration solutions, creating robust data integration pipelines that connect B2B ...

Develop data transformation, mapping, and reconciliation logic using scripting languages and integration frameworks. * Ensure interoperability through API gateway management , secure token handling ...

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Data Integration Developer information

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$10

$51

$84

How much do data integration developer jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for data integration developer in the United States is $51.68, according to ZipRecruiter salary data. Most workers in this role earn between $43.51 and $58.17 per hour, depending on experience, location, and employer.

What is the difference between Data Integration Developer vs Data Engineer?

AspectData Integration DeveloperData Engineer
Required CredentialsBachelor's in CS, IT, or related field; certifications like Talend or InformaticaBachelor's or higher in CS, Software Engineering; certifications in cloud platforms or big data tools
Work EnvironmentCollaborates with data analysts, ETL teams, and business units; often in IT or data teamsWorks on data pipelines, architecture, and infrastructure; in data engineering or data platform teams
Employer & Industry UsageUsed across industries for data migration, integration, and ETL processesUsed in data-heavy industries for building scalable data systems and pipelines

While both roles focus on data handling, Data Integration Developers primarily design and implement data pipelines for integration and ETL tasks, whereas Data Engineers build and maintain the infrastructure and architecture for large-scale data processing. The roles often overlap but differ in scope and technical focus.

What does a Data Integration Developer do?

A Data Integration Developer is responsible for designing, building, and maintaining systems that combine data from different sources into a unified view for analysis and reporting. They work with various data formats and platforms, develop ETL (Extract, Transform, Load) processes, and ensure the accuracy and efficiency of data flow across an organization. Their role often involves collaborating with data architects, analysts, and other IT professionals to support business intelligence and data warehousing initiatives.

What are some common challenges Data Integration Developers face when working with diverse data sources, and how can they be addressed?

Data Integration Developers often encounter challenges when connecting and consolidating data from a variety of sources with different formats, structures, and protocols. Issues like inconsistent data quality, incompatible data schemas, and real-time synchronization can arise. Addressing these challenges typically involves robust data mapping, implementing data validation rules, and using middleware or ETL (Extract, Transform, Load) tools that support multiple data formats. Effective communication with stakeholders and thorough documentation also help ensure smooth integration processes.

What Is a Data Integration Developer?

A data integration developer uses a wide set of skills to support the performance of a data warehouse, from analyzing and managing information to supporting team members and thinking creatively to solve problems. Duties include studying data sources and data models, planning data solutions, delivering data integrations, setting mediated schemas through databases, and mentoring coworkers to follow procedures and answer technical questions. Job qualifications typically include a bachelor’s degree in computer science or software engineering and experience in computer programming and mathematics. Consulting and communication skills are helpful in this career.

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

To thrive as a Data Integration Developer, you need strong skills in data modeling, ETL (extract, transform, load) processes, and database management, typically backed by a degree in computer science or a related field. Familiarity with integration tools like Informatica, Talend, or Microsoft SSIS, as well as proficiency in SQL and relevant certifications, is often required. Analytical thinking, attention to detail, and effective communication are vital soft skills for identifying integration needs and collaborating with cross-functional teams. These skills ensure seamless data flow, accurate reporting, and efficient support of business intelligence initiatives.
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Infographic showing various Data Integration Developer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $107,501 per year, or $51.7 per hour.

Data Integration Engineer

Kanak Elite Services Inc

Charlotte, NC • On-site

Contractor

Posted 28 days ago


Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Data Integration Engineer with our esteemed client. If you are interested then please share your updated resume.

Job Description

Position           : Data Integration Engineer with HLT/EHR

Location          : Charlotte, NC Onsite (Raleigh, NC/ Atlanta, GA/ Greenville, SC is fine – but they should be able to drive & come to Charlotte office as needed on their own cost) Locals 

Duration         : Long term contract

 

Job Description:

Looking for a highly skilled HLT/EHR Data Integration Engineerr. The ideal candidate will have expertise in Corepoint, FHIR, process engines, and healthcare integration languages to support seamless interoperability between Electronic Health Records (EHR) systems and other healthcare applications.

Key Responsibilities:

· Design, develop, and maintain HL7, FHIR, and other healthcare data integration solutions.

· Implement and optimize Corepoint Integration Engine for real-time data exchange.

· Work with process engines to automate and streamline healthcare workflows.

· Develop and maintain interfaces, APIs, and data transformations between EHRs and third-party systems.

· Ensure compliance with HIPAA, HL7, FHIR, and other industry standards for secure data exchange.

· Troubleshoot, test, and resolve integration issues to maintain data accuracy and system performance.

· Collaborate with cross-functional teams, including developers, analysts, and healthcare professionals, to support business and clinical needs.

· Stay updated on emerging healthcare integration technologies and best practices.

Required Qualifications:

· 5+ years of experience in healthcare integration, working with HL7, FHIR, Corepoint, and EHR systems.

· Strong understanding of process engines and healthcare integration languages.

· Hands-on experience with Corepoint or other integration engines (e.g., Cloverleaf, Mirth, Rhapsody).

· Proficiency in data mapping, transformations, and API-based integrations.

· Experience working with healthcare standards and interoperability protocols.

· Familiarity with EHR systems like Epic, Cerner, or Meditech.

· Strong analytical and problem-solving skills with the ability to troubleshoot complex integration issues.

· Excellent communication skills and ability to work collaboratively in a team environment.

Preferred Qualifications:

  • Experience with cloud-based healthcare integration platforms.
  • Knowledge of scripting languages such as Python, Java, or JavaScript for automation.
  • Prior experience in healthcare IT consulting or managed services.