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Data Integration Developer Jobs (NOW HIRING)

Baird

Data Integration Developer

Milwaukee, WI · On-site

As Baird continues to invest in data as a strategic asset, we are expanding our IT Data Integration team and seeking a Data Integration Developer to help build and support high-quality data solutions ...

Nastech Global

Data Integration Developer

New York, NY · On-site

Data Integration Developer Must Have Technical/Functional Skills: * Design and Development of data integration workflows, macros, data validation, data transformations, macros, data cleansing, using ...

Pandata Group

Data Integration Developer

Madison, WI · On-site

As one of our Data Integration Consultants, you love a challenge and are eager to learn. You will ... Exposure to developer tools/ workflow (e.g. git/github, SSH) * Knowing how to get around a command ...

BLN24

Junior Data Integration Developer

Mclean, VA · On-site

$67K - $87K/yr

Junior Data Integration Developer Company: BLN24 About Us: We find strength in teamwork-a better you is a better us BLN24 is an award-winning Management Consulting Firm that supports the U.S. Federal ...

BLN24

Junior Data Integration Developer

Mclean, VA · On-site

$80K/yr

Junior Data Integration Developer Company: BLN24 About Us: We find strength in teamwork-a better you is a better us BLN24 is an award-winning Management Consulting Firm that supports the U.S. Federal ...

SysMind Tech

Python Data Integration Developer

Manhattan, NY · On-site

$55.25 - $76.25/hr

Python Data Integration Developer Basic Information * Experience Level: 5-10 years Required Skills * Strong Python 3.x experience for data ingestion and transformation. * DataFrame processing ...

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Data Integration Developer information

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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.
Data Integration Developer

Data Integration Developer

PROLIM Global Corporation

Plano, TX • On-site, Remote

Full-time

Posted 3 days ago

New

Job description

Job Title: Data Integration Developer
Location: Remote (US)
Duration: 6 Months (02/15/2026 - 08/15/2026)
Experience: 8-10 Years
Domain: Data Integration / ETL
Job Summary
We are seeking an experienced Data Integration Developer with strong hands-on expertise in Informatica PowerCenter and cloud data integration tools. The ideal candidate will have deep ETL development experience, strong SQL skills, and exposure to large enterprise data environments, with a focus on data quality, governance, and analytics.
Key Responsibilities
  • Design, develop, and maintain ETL solutions using Informatica PowerCenter, IDC, and IDMC/IICS
  • Build and manage mappings, mapplets, sessions, and workflows aligned with technical specifications
  • Perform data integration, transformation, and loading across multiple source systems
  • Develop data models and ensure data accuracy, consistency, and integrity
  • Implement data quality rules and governance policies
  • Work with Teradata utilities (BTEQ, MultiLoad, FastExport, TPT, SQL Assistant)
  • Write and optimize advanced SQL queries across Oracle, SQL Server, Teradata, and Azure SQL
  • Use Unix/Linux shell scripting for automation and scheduling
  • Collaborate with business and analytics teams to deliver dashboards and reports
  • Analyze customer data to identify trends, insights, and improvement opportunities
  • Ensure compliance with data regulations such as GDPR and CCPA

Required Skills & Qualifications
  • 8-10 years of experience in Informatica PowerCenter and ETL development
  • Strong experience with IDMC/IICS (Cloud Data Integration)
  • Advanced SQL proficiency and solid understanding of data modeling
  • Hands-on experience with Teradata utilities
  • Experience working in large enterprise environments
  • Knowledge of Unix/Linux shell scripting and scheduling tools (Control-M, Autosys)
  • Strong analytical and problem-solving skills

Nice to Have
  • Experience with MDM and Analytics Reporting
  • BI/Data Modeling using Informatica or Python
  • Exposure to AI/ML or advanced analytics
  • Experience building customer analytics dashboards

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