1

Talend Data Integration Jobs in Virginia (NOW HIRING)

Strong experience with ETL tools such as Informatica, Talend, SSIS, AWS Glue, or Azure Data Factory. Proficiency in SQL, including complex queries and query optimization. 6-8 Years of experience with ...

New

Strong experience with ETL tools such as Informatica, Talend, SSIS, AWS Glue, or Azure Data Factory • Proficiency in SQL, including complex queries and query optimization • 6-8 Years of ...

Strong experience with ETL tools such as Informatica, Talend, SSIS, AWS Glue, or Azure Data Factory. Proficiency in SQL, including complex queries and query optimization. 6-8 Years of experience with ...

next page

Showing results 1-20

Talend Data Integration information

See Virginia salary details

$10

$51

$83

How much do talend data integration jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for talend data integration in Virginia is $51.24, according to ZipRecruiter salary data. Most workers in this role earn between $43.12 and $57.69 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.

What are the most commonly searched types of Talend Data Integration jobs in Virginia? The most popular types of Talend Data Integration jobs in Virginia are:
What cities in Virginia are hiring for Talend Data Integration jobs? Cities in Virginia with the most Talend Data Integration job openings:
ETL Engineer

Full-time

Posted 2 days ago


Job description

Overview

VTG is currently seeking a detail-oriented and experienced ETL Engineer to join our data engineering team. The ideal candidate will be responsible for designing, building, and maintaining data pipelines and integration processes that enable reliable, timely, and high-quality data delivery across the organization. This role requires strong technical capabilities, a deep understanding of data architecture, and the ability to collaborate effectively with cross-functional stakeholders.


What will you do?
  • Design, develop, and maintain ETL/ELT pipelines that support data warehouse, analytics, and application needs. Must be experienced with large data sets [hundreds of thousands of records, GB and TB size data sets]
    Extract, transform, and load data from various sources into centralized storage solutions.
    Design and enhance search and discovery platforms across large volumes of structured and unstructured data
    Perform data ingestion, ETL, and integration across enterprise and multi-source environments
    Optimize ETL workflows for performance, scalability, and reliability.
    Conduct data validation, profiling, and quality checks to ensure accuracy and completeness.
    Troubleshoot and resolve data inconsistencies, pipeline failures, or performance bottlenecks.
    Build and maintain cloud-native solutions (AWS) aligned to secure and resilient architecture patterns
    Partner with mission operators, analysts, and senior stakeholders to define requirements and deliver mission-relevant analytics
    Translate mission needs into technical designs, architectures, and implementation roadmaps, ensuring alignment to operational objectives
    Deliver clear, compelling visualizations, dashboards, and executive-level briefings that communicate analytic insights and recommendations
    Provide technical leadership and mentorship, including hands-on development, code review, and team development
    Own delivery of analytic capabilities from concept through deployment, accreditation, and sustainment
    Support system accreditation, data governance, and security architecture, ensuring data integrity and compliance within classified environments

Do you have what it takes?

Must possess an active TS/SCI clearance with Poly on day one of employment

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).
    Minimum 6-8 years working in Linux Operating system with updating the system for efficient parallel processing, understanding memory, storage and processing data at scale
    Minimum 6-8 years in Object Oriented programming. Python is preferred software development language
    Minimum 6-8 years of demonstrated experience with applications in the Commercial Cloud Services (C2S) environment or an Amazon Web Services cloud environment. Willing to consider substituting C2S if candidate has a minimum 4-6 years of cloud computing technology to include Azure, Oracle, Google, etc.
    Minimum 4-6 years of demonstrated (Extract, Transform, Load - ETL) with large structured and unstructured raw data sets. Strong experience with ETL tools such as Informatica, Talend, SSIS, AWS Glue, or Azure Data Factory.
    Proficiency in SQL, including complex queries and query optimization.
    6-8 Years of experience with AWS platform including understanding EC2, RCS instance types
    Strong understanding of data warehousing concepts, data modeling, and schema design.
    Hands-on experience with scripting languages such as Python, Bash, or PowerShell.
    Familiarity with relational and NoSQL databases.
    Experience using version control systems such as Git.
Qualifications:

Must possess an active TS/SCI clearance with Poly on day one of employment

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).
    Minimum 6-8 years working in Linux Operating system with updating the system for efficient parallel processing, understanding memory, storage and processing data at scale
    Minimum 6-8 years in Object Oriented programming. Python is preferred software development language
    Minimum 6-8 years of demonstrated experience with applications in the Commercial Cloud Services (C2S) environment or an Amazon Web Services cloud environment. Willing to consider substituting C2S if candidate has a minimum 4-6 years of cloud computing technology to include Azure, Oracle, Google, etc.
    Minimum 4-6 years of demonstrated (Extract, Transform, Load - ETL) with large structured and unstructured raw data sets. Strong experience with ETL tools such as Informatica, Talend, SSIS, AWS Glue, or Azure Data Factory.
    Proficiency in SQL, including complex queries and query optimization.
    6-8 Years of experience with AWS platform including understanding EC2, RCS instance types
    Strong understanding of data warehousing concepts, data modeling, and schema design.
    Hands-on experience with scripting languages such as Python, Bash, or PowerShell.
    Familiarity with relational and NoSQL databases.
    Experience using version control systems such as Git.
Education:UNAVAILABLEEmployment Type: FULL_TIME