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Talend Data Integration Jobs (NOW HIRING)

Data Integration & ETL platforms: Azure Data Factory (ADF), SSIS, Talend * Data Warehouses & Datamarts: Azure SQL Managed Instance (MI), Azure Synapse Analytics, SQL Server * Reporting & Analytics ...

Databricks Lead

Chester, PA ยท On-site

$57 - $74.50/hr

Talend, Data Flow. โ€ข 12+ years strong experience in ETL tools like Informatica, SSIS, SQL, Azure ADF,AWS Glue, Cloud agnostic: Databricks, Cloud agnostic: Snowflake, IBM, DataStage, BODS. โ€ข ...

As one of our Data Integration Consultants, you love a challenge and are eager to learn. You will ... Implement and provide and advise on ELT tools such as Matillion and Talend. Skills You Bring to ...

$55 - $75/hr

Experience with the following is essential Batch data integration SQL Preparing data for analysis Experience with the following is a bonus: ETL tools such as Informatica, Talend, Domo or equivalent ...

Build data integration and migration pipelines. Implement SOAP/REST web services in Talend. Handle performance tuning and production support. Requirements: 5+ years ETL experience (3+ years Talend ...

Familiarity with ETL tools and frameworks (e.g., Apache NiFi, Apache Airflow, Talend, Informatica). * Experience with API integration and working knowledge of RESTful APIs. * Knowledge of data ...

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Talend Data Integration information

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How much do talend data integration jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for talend data integration 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 Talend Data Integration job?

A Talend Data Integration job involves designing, developing, and managing data pipelines using Talend's suite of ETL (Extract, Transform, Load) tools. Professionals in this role work with databases, cloud platforms, and big data technologies to integrate, cleanse, and transform data for business intelligence and analytics. They ensure data flows efficiently between systems while maintaining data quality and governance. This job often requires expertise in SQL, data mapping, and automation, along with experience in Talend's open-source or enterprise versions.

What are the key skills and qualifications needed to thrive in the Talend Data Integration position, and why are they important?

To succeed as a Talend Data Integration professional, you need strong expertise in ETL processes, data mapping, and experience with Talend Data Integration Suite, often supported by a degree in computer science or a related field. Familiarity with databases (SQL/NoSQL), cloud platforms (AWS, Azure, GCP), and Talend certification are commonly expected. Strong problem-solving skills, attention to detail, and effective communication help facilitate collaboration and tackle complex data challenges. These skills are crucial to ensure accurate and efficient data integration across diverse systems, driving business intelligence and operational success.

What does a typical day look like for a Talend Data Integration specialist?

A typical day for a Talend Data Integration specialist involves working closely with business analysts and other IT professionals to understand data requirements, designing and developing ETL jobs using Talend, and ensuring the smooth extraction, transformation, and loading of data across multiple platforms. You may spend time troubleshooting data issues, optimizing workflows, and maintaining documentation for integration processes. Coordination with stakeholders from different departments is common to ensure that data solutions align with organizational goals. This collaborative, dynamic environment offers the opportunity to tackle unique technical challenges while ensuring data accuracy and reliability within the organization.

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Data Warehouse Developer (Talend ETL)

Purple Drive Technologies

Princeton, NJ โ€ข On-site

Full-time

Posted 11 days ago


Job description

Overview:
Role: Data Warehouse Developer (Talend ETL)
Location: Boston, MA / Princeton, MA
Experience: 8-10 Years
Job Summary
We are seeking an experienced Data Warehouse Developer with strong expertise in Talend ETL and data warehousing to design, build, and optimize scalable data solutions. The ideal candidate will have hands-on experience in data integration, transformation, and pipeline development, supporting enterprise analytics and reporting needs.
Key Responsibilities
Data Warehousing & ETL Development
  • Design, develop, and maintain data warehouse solutions to support business intelligence and analytics
  • Build and optimize ETL/ELT pipelines using Talend (Talend Open Studio)
  • Extract, transform, and load data from multiple heterogeneous sources
Data Integration & Processing
  • Integrate data from various systems including:
    • Relational databases
    • Flat files and external data sources
  • Ensure data consistency, quality, and integrity across systems
  • Develop reusable ETL components and frameworks
Performance Optimization
  • Optimize ETL jobs and data pipelines for performance and scalability
  • Tune queries and transformations for efficient data processing
  • Handle large volumes of structured and semi-structured data
Data Modeling & Design
  • Design and maintain data models (star/snowflake schemas)
  • Support data architecture aligned with business requirements
  • Collaborate with data architects and analysts on data design
Maintenance & Support
  • Monitor ETL jobs and troubleshoot failures
  • Perform root cause analysis and implement fixes
  • Support production deployments and ongoing enhancements
Collaboration & Documentation
  • Work with business stakeholders to understand data requirements
  • Collaborate with BI, analytics, and engineering teams
  • Maintain documentation for ETL processes, workflows, and data mappings
Required Skills
  • Strong hands-on experience with Talend ETL (Talend Open Studio)
  • Solid experience in data warehousing concepts and architecture
  • Proficiency in SQL and database technologies
  • Experience designing and developing ETL/ELT pipelines
  • Strong understanding of data modeling techniques
  • Experience handling large-scale data processing
Preferred Skills
  • Experience with cloud data platforms (AWS, Azure, or GCP)
  • Knowledge of data quality and data governance practices
  • Familiarity with BI tools (Tableau, Power BI, etc.)
  • Experience with performance tuning and optimization