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Internship Talend Jobs in Virginia (NOW HIRING)

Internship Talend information

What is the difference between Internship Talend vs Data Integration Intern?

AspectInternship TalendData Integration Intern
Required SkillsBasic knowledge of Talend, data integration conceptsGeneral data management, scripting, and integration skills
CertificationsTalend certifications preferred but not mandatoryNot typically required
Work EnvironmentHands-on with Talend tools, data pipelinesSupporting data workflows, testing
Industry UsageUsed in data warehousing, ETL projectsApplied in data management roles across industries

Internship Talend focuses on developing skills specific to Talend data integration tools, often requiring some familiarity with ETL processes. Data Integration Intern roles are broader, covering general data workflows and scripting. Both roles serve as entry points into data roles, but Internship Talend emphasizes Talend platform expertise, making it ideal for those targeting Talend-specific careers.

Can you get a job through an internship?

An internship in Talend can provide valuable work experience and industry connections, which may improve chances of securing a full-time job in data integration or related fields. Many employers consider internships as a pathway to full-time employment, especially when interns demonstrate strong skills and a good work ethic. However, securing a job depends on individual performance, available positions, and the company's hiring needs.

What skills are needed for internship Talend?

An internship in Talend typically requires knowledge of data integration, ETL processes, and familiarity with Talend Open Studio software. Basic understanding of SQL, data warehousing concepts, and scripting languages like Java or Python is also beneficial. Strong problem-solving skills and the ability to work with large datasets are important for success in this role.

What cities in Virginia are hiring for Internship Talend jobs?

Cities in Virginia with the most Internship Talend job openings:

Data Engineer 2 - TS required - Washington DC area

Bow Wave LLC

Arlington, VA • On-site

$80K - $85K/yr

Full-time

Posted 3 days ago

New


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