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Internship Collibra Jobs (NOW HIRING)

Internship Collibra information

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$8

$15

$21

How much do internship collibra jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for internship collibra in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

What is an internship Collibra?

Internship Collibra positions are internships offered by companies that use Collibra, a leading data governance and management platform. These internships typically involve supporting the implementation, customization, and maintenance of Collibra solutions, as well as assisting with data cataloging, data quality, and governance initiatives. Interns may work with IT, data engineering, and business teams to help ensure data compliance, improve data accessibility, and streamline data-related processes. These roles often provide hands-on experience in data management and exposure to Collibra's software environment, making them valuable for students or recent graduates interested in data governance careers.

What do internship Collibras do?

During a Collibra internship, you can expect to work on real-world data governance and data management projects alongside experienced professionals. Interns often assist with tasks such as data cataloging, workflow automation, and supporting the implementation of Collibra’s platform for clients. You’ll likely collaborate with cross-functional teams, including data analysts, engineers, and project managers, gaining exposure to both technical and business aspects. This hands-on experience provides valuable insights into enterprise data management practices and can pave the way for future roles in data governance or related fields.

What skills and qualifications are needed to thrive as an internship Collibra?

To thrive as an intern at Collibra, you generally need a background in computer science, data management, or a related field, along with strong analytical and problem-solving skills. Familiarity with data governance tools, SQL, and platforms like Collibra's Data Intelligence Cloud is highly beneficial, and knowledge of programming languages such as Python or Java may be required. Excellent communication, adaptability, and eagerness to learn will help you stand out in a collaborative, fast-paced environment. These skills and qualities are essential for effectively supporting data projects and integrating into multidisciplinary teams.

What is the difference between Internship Collibra vs Data Analyst Intern?

AspectInternship CollibraData Analyst Intern
Required SkillsKnowledge of data governance, Collibra platform, basic data managementData analysis, Excel, SQL, statistical tools
Work EnvironmentCollaborative, platform-focused, often in data governance teamsAnalytical, reporting-driven, often in data or business teams
Industry UsageUsed in organizations implementing data governance solutionsCommon across industries for data analysis roles

Internship Collibra focuses on data governance and platform-specific skills, ideal for those interested in data management tools. Data Analyst Internships emphasize analytical skills and data interpretation. Both roles provide valuable industry experience but differ in technical focus and daily tasks.

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What cities are hiring for Internship Collibra jobs?

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What are the most commonly searched types of Collibra jobs?

The most popular types of Collibra jobs are:

What states have the most Internship Collibra jobs?

States with the most job openings for Internship Collibra jobs include:

Infographic showing various Internship Collibra job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $32,333 per year, or $15.5 per hour.

Data Engineer Analyst (WDP)

Bespoke Technologies, Inc

Chantilly, VA • On-site

Full-time

Posted 14 days ago


Job description

BT-156 - Data Engineer Analyst (WDP)
Skill Level: Entry/Junior
Location: Chantilly/Herndon
**MUST HAVE AN ACTIVE TS OR TS/SCI CLEARANCE TO APPLY. Those without an active security clearance will not be considered.**
Role Description:
This is an entry-level opportunity to begin your career as a Data Engineer. As a Junior Analyst, you will learn the fundamentals of building and maintaining large-scale data pipelines on a government data platform. You will work alongside senior engineers, assisting with development, monitoring systems, and helping to ensure the quality and reliability of our data. This role is ideal for a motivated individual with a foundational understanding of data concepts and a strong desire to learn and grow.
Responsibilities:
  • Assist senior engineers in the development and maintenance of data pipelines.
  • Support the operations of existing pipelines by monitoring their performance and responding to alerts under supervision.
  • Execute pre-defined scripts and processes for data ingestion and transformation.
  • Help run data quality checks and document the results.
  • Participate in team meetings and Agile/Scrum ceremonies, learning the development lifecycle.
  • Contribute to the creation and upkeep of technical documentation for data processes.

Required Qualifications:
  • 0-2 years of experience or relevant internship experience in a technical or data-related field.
  • A Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline.
  • Basic knowledge of SQL and at least one scripting language (Python preferred).
  • A foundational understanding of data concepts (e.g., databases, ETL).
  • Strong problem-solving skills and a proactive willingness to learn new technologies.
  • Experience with cloud data platforms (e.g., Databricks, Snowflake, AWS S3, Azure Data Lake).
  • A foundational understanding of metadata management and data governance concepts.

Preferred Qualifications:
  • Hands-on experience developing integrations for an enterprise data catalog platform (e.g., Collibra, Alation).
  • Experience with workflow orchestration tools (e.g., Airflow, Prefect).
  • Familiarity with Infrastructure-as-Code (e.g., Terraform).
  • Exposure to streaming data technologies (e.g., Kafka).