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Talend Data Integration Jobs (NOW HIRING)

Working knowledge of Talend Data Integration tool. * Exposure to Other Talend Product Suites . * Experience with Core Java development is a plus * Experience with Hadoop and big data technology is a ...

Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

... Talend, Data Stage or SSIS) • Good to have familiarity with data visualization tools (Tableau/Power BI), ability to effectively function in a cross-team's environment • Ability to effectively ...

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Talend Data Integration information

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$10

$51

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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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Other

Posted 16 days ago


Job description

Job Title: Data / Product Analyst
Location: McLean, VA (Hybrid)
Interview Mode: Video Interview
Employment Type: Cliff Services W2
Visa: No Visa Restrictions

Job Description:
We are seeking a highly analytical and detail-oriented Data / Product Analyst with strong SQL expertise and hands-on experience in Master Data Management (MDM), ETL processes, and Data Governance practices. The ideal candidate will collaborate with product managers, business stakeholders, engineering teams, and data architects to transform complex datasets into actionable business insights and support strategic product initiatives.

Key Responsibilities:

Data Analysis & Insights:
Analyze large and complex datasets to identify trends, anomalies, and business opportunities
Develop KPIs, dashboards, scorecards, and analytical reports
Perform ad hoc analysis and root-cause investigations
Translate business requirements into analytical solutions
Support mortgage business process analysis and product lifecycle insights

SQL & Database Management:
Write complex and optimized SQL queries for extraction, transformation, and analysis
Work across SQL Server, Sybase, MySQL, and Snowflake environments
Create and maintain views, stored procedures, functions, and validation scripts
Perform query optimization and performance tuning

Product Analytics:
Partner with Product Managers to define product metrics and success criteria
Analyze customer behavior, feature adoption, and usage trends
Support A/B testing and experimentation frameworks
Build data models to measure product performance and business impact

Master Data Management (MDM):
Support MDM implementation and governance initiatives
Define data standards, hierarchies, golden records, and reference data
Participate in data cleansing, deduplication, and harmonization efforts

ETL & Data Integration:
Support ETL/ELT workflows and data pipelines
Validate source-to-target data movement and reconciliation processes
Monitor ETL performance and resolve data quality issues

Data Governance & Quality:
Support enterprise data governance and compliance initiatives
Implement and monitor data quality checks and controls
Document metadata, lineage, business rules, and governance processes

Stakeholder Collaboration:
Work closely with business, product, engineering, QA, and architecture teams
Gather and document requirements from technical and non-technical stakeholders
Present analytical findings and recommendations clearly and effectively

Required Qualifications:
5+ years of experience in Data Analysis, Product Analytics, or related roles
Advanced SQL expertise with complex query writing and optimization skills
Experience with SQL Server, Sybase, MySQL, and Snowflake
Strong understanding of MDM concepts and data governance frameworks
Experience with ETL/ELT processes and tools like Informatica or Talend
Knowledge of data quality, lineage, metadata, and compliance standards
Experience creating dashboards, KPIs, and analytical reports
Strong communication, analytical, and problem-solving skills
Familiarity with ODS/EDW data modeling concepts is a plus
Mortgage or Financial domain experience preferred

Preferred Skills:
Snowflake
Informatica / Talend
Data Governance
MDM
Product Analytics
A/B Testing
ETL/ELT
SQL Performance Tuning
Dashboarding & Reporting

If interested, please share your updated resume along with contact details and work authorization.