About Us: Prometric is a leading provider of technology-enabled testing and assessment solutions to many of the world’s most recognized licensing and certification organizations, academic institutions, and government agencies. We support more than 7 million test takers annually at our testing locations in 180 countries around the world. With over three decades of experience working with clients of all sizes across a multitude of industry sectors, our mission is to design and deliver the highest quality and most innovative testing solutions anytime, anywhere.
JOB TITLE: Data Engineering Intern
REPORTS TO: Database Manager
DEPARTMENT: Product & Technology
LOCATION: Remote
DURATION: 8 Weeks starting June 15th
PAY RATE: $18.00 Per Hour
Job Overview
We are looking for a passionate and detail-oriented Data Engineering Intern to join our team! As a Data Engineering Intern, you’ll work closely with experienced data engineers and gain hands-on experience building and maintaining data pipelines, optimizing databases, and contributing to data-driven projects. This is an excellent opportunity to kickstart your career in data engineering while working on meaningful projects in a collaborative environment. The salary for this role is $18.00 per hour.
Company Background
Prometric (www.prometric.com) is a trusted test development and delivery provider to more than 300 organizations worldwide. Prometric serves as an industry gatekeeper, ensuring that people legitimately earn the credentials they seek to achieve, and thereby guaranteeing a fair testing experience for all who come through our doors.
Responsibilities
Key Responsibilities:
- Assist in designing, developing, and maintaining scalable ETL/ELT pipelines to process data from various sources.
- Support the creation and optimization of data storage solutions, including data lakes and warehouses.
- Work with large and complex datasets to ensure accuracy, consistency, and security.
- Collaborate with data scientists, analysts, and engineers to understand data needs and requirements.
- Monitor and troubleshoot data pipelines to ensure efficient and error-free data processing.
- Work with Database engineers to understand the infrastructure that backends data platforms
- Currently pursuing or recently completed a degree in Computer Science, Data Engineering, or a related field.
- Familiarity with programming languages like Python, SQL, or Java.
- Basic knowledge of relational databases (e.g., SQL Server, Oracle, MySQL) and data modeling concepts.
- Understanding of big data tools or cloud platforms (e.g. Azure, AWS, Apache Spark) is a plus.
- Strong problem-solving skills and attention to detail.
- Eagerness to learn and collaborate in a team-oriented environment.
- Hands-on experience with real-world data engineering projects.
- Mentorship from experienced data professionals.
- Networking opportunities and career development support.
- Flexible working hours and a positive, collaborative culture.
- Familiarity with tools like Azure Data Factory, Synapse Studio, Azure Data Lake
- Exposure to NoSQL databases (e.g., CosmosDB, CouchDB).
- Interest in learning about data governance, privacy, and security.
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