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Talend Jobs in Virginia (NOW HIRING)

Any useful tools and practices that Capital One should know about RESTful API development Drools / JBPM ETL batch applications with Ab Initio / Unix scripting Other ETL (Talend, Java Spring Batch ...

Any useful tools and practices that Capital One should know about RESTful API development Drools / JBPM ETL batch applications with Ab Initio / Unix scripting Other ETL (Talend, Java Spring Batch ...

Experience utilizing or leading implementations leveraging ETL tools (Informatica / Talend), BI Reporting tools such as MicroStrategy, Microsoft Power BI, data modeling tools such as Erwin, Oracle ...

Experience utilizing or leading implementations leveraging ETL tools (Informatica / Talend), BI Reporting tools such as MicroStrategy, Microsoft Power BI, data modeling tools such as Erwin, Oracle ...

Experience utilizing or leading implementations leveraging ETL tools (Informatica / Talend), BI Reporting tools such as MicroStrategy, Microsoft Power BI, data modeling tools such as Erwin, Oracle ...

Data Engineer Lead

Richmond, VA · On-site

$113K - $136K/yr

Drive technical calls with customer • Focus on continuous value additions and innovations • Experience with any other ETL tool (Talend, Informatica or similar) • Good to have Insurance domain ...

ETL Engineer

Mclean, VA · On-site

$110K - $130K/yr

Python, Informatica, Pentaho, Talend * Big data tools: Hadoop, Spark, Kafka, etc. * Relational SQL and NoSQL databases, including Postgres and Cassandra. * Data pipeline and workflow management tools:

Showing results 41-60

Talend information

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$8

$61

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How much do talend jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for talend in Virginia is $61.27, according to ZipRecruiter salary data. Most workers in this role earn between $57.21 and $67.93 per hour, depending on experience, location, and employer.

What is a Talend developer?

Talend developers are IT professionals who specialize in using Talend, a popular data integration and data management platform. They design, develop, and maintain data pipelines that extract, transform, and load (ETL) data from various sources into target systems, such as databases or data warehouses. Talend developers work with tools like Talend Studio to automate data workflows, ensure data quality, and support business intelligence and analytics initiatives. Their role often involves collaborating with data analysts, architects, and other stakeholders to meet organizational data needs.

What skills and qualifications are needed to thrive as a Talend developer?

To thrive as a Talend Developer, you need a strong background in ETL processes, data integration, SQL, and often a degree in computer science or a related field. Proficiency with the Talend Data Integration suite, related big data tools, and knowledge of databases and cloud platforms like AWS or Azure are typically required. Strong analytical thinking, problem-solving, and communication skills help you understand business data needs and collaborate effectively with stakeholders. These skills ensure efficient, scalable data solutions that support organizational goals and drive successful data-driven decision-making.

What are common challenges faced by Talend developers when integrating data from multiple sources, and how can they be addressed?

Talend developers often encounter challenges such as handling inconsistent data formats, managing large volumes of data, and ensuring data quality when integrating from various sources like databases, cloud platforms, and APIs. These challenges can be addressed by leveraging Talend's built-in data transformation and validation components, establishing clear data mapping strategies, and implementing robust error handling routines. Regular collaboration with data architects and source system owners is also crucial to resolve schema discrepancies and optimize data flows.

What is the difference between Talend vs Data Integration Specialist?

AspectTalendData Integration Specialist
Required CredentialsCertifications in Talend Data Management, Data IntegrationOften certifications in data management, SQL, ETL tools
Work EnvironmentPrimarily uses Talend software for ETL and data workflowsWorks with various ETL tools, including Talend, Informatica, or custom scripts
Employer & Industry UsageUsed in data-driven industries like finance, healthcare, retailEmployed across industries for data integration and management tasks
Common Search & Comparison IntentFocuses on Talend-specific skills and toolsBroader data integration skills, including Talend

While Talend is a specific data integration platform, a Data Integration Specialist may work with multiple tools, including Talend. Talend professionals focus on using Talend software for ETL processes, whereas Data Integration Specialists have broader expertise in various tools and techniques for data management across industries.

What does Talend do?

A Talend professional typically works with data integration and management tools to design, develop, and maintain data pipelines and workflows. They use Talend software to extract, transform, and load data across various systems, often requiring knowledge of SQL, ETL processes, and data quality standards.

What is a job in Talend?

A job in Talend refers to a data integration process or workflow created using Talend's open-source or commercial tools. These jobs automate data extraction, transformation, and loading (ETL) tasks, often involving designing data pipelines with drag-and-drop components. Proficiency in Talend Studio and understanding of data workflows are essential for developing effective jobs.

What are popular job titles related to Talend jobs in Virginia?

For Talend jobs in Virginia, the most frequently searched job titles are:

What cities in Virginia are hiring for Talend jobs?

Cities in Virginia with the most Talend job openings:

Infographic showing various Talend job openings in Virginia as of September 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $127,448 per year, or $61.3 per hour.

Data Engineer 2 - TS required - Washington DC area

Arlington, VA • On-site

$131K - $158K/yr

Other

Posted 24 days ago


Job description

Education Requirement: Bachelor's Degree

Key Responsibilities
  • Assist in designing, developing, and maintaining basic ETL pipelines for ingesting, transforming, and loading datasets under the guidance of more experienced engineers.
  • Support analysis of data structures, mappings, and data quality checks to identify issues or gaps.
  • Help ensure data accuracy, consistency, and integrity by running validation queries, profiling datasets, and supporting data cleanup efforts.
  • Contribute to data migration tasks, such as mapping source data to target systems and running migration scripts.
  • Collaborate with analysts, data scientists, and business stakeholders to translate requirements into simple data transformations or pipeline updates.
  • Monitor pipeline performance and assist in troubleshooting operational issues, escalating complex problems as needed.
  • Help document data flows, transformation logic, and operational processes to support maintainability and knowledge sharing.
Required Skills & Experience
  • 0-1 Years of Professional Experience
  • Foundational exposure to data analysis, ETL concepts, or data migration activities-via coursework, internships, personal projects, or early professional experience.
  • Working knowledge of SQL, including writing basic queries, joins, and aggregations.
  • Familiarity with Python for data manipulation or automation tasks (introductory level acceptable).
  • Introductory experience with ETL or workflow tools such as Apache Airflow, Talend, or similar platforms.
  • Understanding of basic data warehousing concepts, such as staging, fact/dimension models, or schema structure.
  • Exposure to cloud-based data storage or compute platforms (e.g., AWS S3/Redshift, Google BigQuery, Azure Storage).
Bonus / Preferred Qualifications
  • Hands on or coursework experience with cloud ecosystems such as AWS, Azure, or Google Cloud Platform.
  • Exposure to big data technologies (Hadoop, Spark, or distributed processing frameworks).
  • Familiarity with data visualization tools (Power BI, Tableau, Looker) and version control systems such as Git.
  • Experience building or supporting automated data workflows using orchestration tools or scheduled scripting.
Core Skills & Competencies
  • Foundational ETL development and data pipeline understanding
  • Data profiling and validation
  • SQL and Python basics
  • Understanding of data warehousing fundamentals
  • Collaboration with analysts, engineers, and business stakeholders
  • Problem solving mindset and willingness to learn
  • Clear communication and strong documentation skills
  • Adaptability in fast paced, evolving environments
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