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Data Integration Developer Jobs (NOW HIRING)

Ursa Health

Data Integration Engineer

$160K - $180K/yr

AVP, Integration Engineering The Data Integration Engineer role is ideal for an experienced data professional eager to put their healthcare domain knowledge and engineering expertise to work in a ...

Caris Life Sciences

OR · On-site

Position Summary The Data Integration Engineer will install back-end, automated data integrations to customer electronic medical records, billing, data warehouses or other applicable customer systems ...

Conexus

$55 - $75/hr

Conexus is seeking intermediate level data integration engineers for contract work. Candidates will be supported to follow commonly established best practices as well as utilizing cutting edge ...

Concept Plus

Data Warehouse Integration Engineer

About the role The Data Warehouse/Integration Engineer will support the development, maintenance, and enhancement of an enterprise data warehouse and related system integrations. The ideal candidate ...

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Data Integration Developer information

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$10

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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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Data Integration Developer jobs near you
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.

Senior Data Integration Engineer

SITEC Consulting

Laurel, MD • On-site

$150K - $200K/yr

Full-time

Posted 13 days ago

Job description

Senior Data Integration Engineer

Location: Annapolis Junction, MD
Schedule: Full-Time, On-Site
Clearance Required: TS/SCI with Polygraph

SITEC Consulting is seeking a Senior Data Integration Engineer to support enterprise data modernization, integration, and automation efforts in a secure mission environment. This role will focus on ingesting, transforming, validating, and managing operational data that supports critical enterprise workflows and business applications.

The ideal candidate will bring a strong mix of database engineering, data integration, scripting, and automation experience. This position is well-suited for a proactive engineer who can operate independently, take ownership of technical deliverables, identify risks or gaps, and collaborate across engineering and stakeholder teams.

Responsibilities
  • Support ingestion of spreadsheet-based and structured data sources into enterprise databases and applications.
  • Develop and maintain data transformation workflows, including conversion of source data into JSON representations.
  • Validate, troubleshoot, and optimize data ingestion and synchronization processes.
  • Support enterprise database operations to ensure data integrity, availability, and consistency.
  • Assist with integration of enterprise data into workflow-based applications.
  • Collaborate with software engineers, systems engineers, and stakeholders to define data mappings, validation rules, and integration requirements.
  • Support reporting and downstream data consumption capabilities.
  • Monitor database performance and assist with troubleshooting operational issues.
  • Participate in automation and modernization initiatives across enterprise services.
  • Document database structures, data flows, ingestion processes, and operational procedures.
Required Qualifications
  • Active TS/SCI with Polygraph.
  • Bachelor's degree in a technical discipline and five years of experience as a Database Engineer or in a related technical role.
  • Ten years of related technical experience may be substituted in lieu of a degree.
  • Experience working with relational databases and SQL-based technologies.
  • Experience supporting data ingestion, transformation, or ETL-style workflows.
  • Experience working with structured data formats, including JSON, CSV, and Excel-based datasets.
  • Experience writing scripts or automation utilities using Python, PowerShell, or similar scripting languages.
  • Experience troubleshooting data validation and operational data quality issues.
  • Ability to communicate effectively with technical and non-technical stakeholders.
  • Ability to work core hours of 10:00 AM-2:00 PM, Monday through Friday.
Desired Skills
  • Demonstrated ability to operate independently and take ownership of technical deliverables.
  • Comfortable working in dynamic environments with evolving priorities and cross-team dependencies.
  • Ability to identify technical gaps, propose solutions, and proactively drive work forward with minimal oversight.
  • Strong troubleshooting and analytical skills in complex enterprise data environments.
  • Ability to balance independent execution with appropriate stakeholder coordination and escalation.
  • Strong organizational and communication skills.

Job Posted by ApplicantPro