Data Engineering Summer Intern - Remote
About the Role
Join Experian as a Data Engineering Summer Intern - Remote, where you will gain hands-on experience in developing data platforms and pipelines while focusing on AI-assisted database security methods. This internship offers a unique opportunity to work under the guidance of the Data Engineering Director and collaborate with a team of skilled data engineers and security analysts. As a Data Engineering Summer Intern, you will play a crucial role in ingesting and processing data from various sources, analyzing large datasets for trends and threats, and contributing to automated tools for monitoring database activity.
What You'll Do
- Develop data pipeline solutions that enhance data accessibility and security.
- Collaborate with data engineers and security analysts to implement best practices in data management.
- Ingest and process data from various sources to ensure data integrity and availability.
- Analyze large datasets for trends and potential security threats.
- Contribute to the development of automated monitoring tools for database activity.
- Evaluate and implement AI techniques for enhancing database security.
- Participate in team meetings and contribute ideas for improving data engineering processes.
- Document your work and findings to support team knowledge sharing.
Requirements
- Currently enrolled in a Bachelor's degree program in Computer Science, Engineering, or Data Science.
- Must return to school in Fall 2026.
- Familiarity with database systems such as Redshift or MySQL.
- Knowledge of cybersecurity principles and practices.
- Experience with Python and machine learning libraries.
- Proficiency in Python, PySpark, SQL, and other programming languages.
- Strong analytical and problem-solving skills.
- Ability to work collaboratively in a team environment.
Nice to Have
- Experience with cloud-based data solutions.
- Familiarity with data visualization tools.
- Previous internship experience in data engineering or related fields.
What We Offer
- Hybrid work model with one day a week in the office.
- Volunteer Time Off to support your community.
- Competitive compensation for interns.
- Flexible work schedule to accommodate your academic commitments.
- Eligibility for 401(k) participation after 90 days of employment.
This internship offers a unique opportunity to gain hands-on experience in data engineering while working remotely. You'll collaborate with industry professionals and contribute to meaningful projects.
Who Will Succeed Here
Proficient in Python and SQL, with practical experience in building data pipelines and performing data transformations using PySpark, reflecting a strong foundation in data engineering principles.
Self-motivated and disciplined in a remote work environment, capable of managing time effectively and collaborating asynchronously with team members, ensuring project deadlines are met.
Eager to learn and apply machine learning concepts to enhance data processing and security methods, demonstrating a proactive mindset to adapt to evolving technologies in data engineering.
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