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Data Integration Developer Jobs (NOW HIRING)

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

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

$67.70K - $87.90K/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

$67.70K - $87.90K/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 ...

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How much do data integration developer jobs pay per hour?

As of Jun 3, 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 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.

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 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 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.

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Data Integration Developer jobs near you

Data Integration Developer

Nastech Global

New York, NY • On-site

Full-time

Posted 27 days ago

Job description

Job Title: Senior Engineer
Location: New York, NY (onsite)
Job Type: full time
 
Job Description
Skill: Data Integration Developer
 
Must Have Technical/Functional Skills:
  • Design and Development of data integration workflows, macros, data validation, data transformations, macros, data cleansing, using Alteryx Designer.
  • Alteryx Expert certification (must have or equivalent experience).
  • Python certification, AWS developer certification
Roles & Responsibilities:
 
Must have:
  • Strong hands experience (5+ Years) in design and development of data integration workflows, macros, data validation, data transformations, macros, data cleansing, using Alteryx Designer.
  • 10+ years of data integration experience writing complex SQL queries and building federated queries to connect/source data to/from SQL , NoSQL, API, CSV, Excel, Parquet, SharePoint List, email type repositories.
  • 7+ yeas of strong development experience in any two languages Python (must have) and Java or JavaScript.
  • Strong experience Alteryx API integration and configuring and deploying components into Alteryx Server and Gallery.
  • Hands-on experience to automate Gitlab CI/CD pipelines for automated Alteryx workflow deployment, testing and dependencies management.
  • Hands-on experience with good knowledge of the best practices for maintaining code repository branches.
  • 1-2 years of experience in developing AWS Lambda/functions using python or Java or JavaScript.
  • Experience in developing re-useable processes that can be leveraged and standardized across multiple flows.
  • Ensure application stability and performance by monitoring existing workflows.
  • Experience in producing high and low level technical and solution design and technical specification documents.
  • Troubleshooting and resolving issues related to Alteryx workflows and data connections.
Nice to have:
  • Experience in scripting languages like AWK/bash shell scripting is beneficial.
  • 3+ years of Experience with AWS for building data workflows and transformations using AWS Glue, Aws Ethena, S3, DynamoDB, Postgres
Responsibilities:
  • Contribute as a squad member to design and implement products throughout the PDLC including coding, testing, and documentation independently.
  • Working with Product Owner and Scrum Master in an Agile environment to improve velocity on product delivery.
  • Work as cross-functional team player to augment the squad needs as needed.
  • Contribute to the community of practice and proactively share knowledge with squad members