Key Responsibilities
As a Data Engineer Intern, you will:
- Design, build, and automate the deployment of distributed systems for collecting and processing log data from multiple sources.
- Develop and maintain data schemas; manage and optimize data warehouses along with SQL and NoSQL database systems.
- Create, own, and maintain metrics, reports, dashboards, and analytical solutions that support data-driven decision-making.
- Monitor, troubleshoot, and resolve issues in data pipelines to ensure reliability and performance.
- Contribute to the design and implementation of scalable data storage, reporting, and analytics architectures.
- Build automated data pipelines capable of processing large-scale datasets efficiently.
- Optimize database and warehouse performance by identifying and tuning inefficient queries.
- Collaborate with Business Analysts, Data Scientists, and cross-functional teams to identify opportunities and solve data-related challenges.
- Investigate, diagnose, and resolve data and system defects, ensuring root cause resolution.
A Day in the Life
This internship offers hands-on experience for students pursuing a career in data engineering. You will work on impactful, real-world projects while gaining exposure to industry practices. The program also provides opportunities to connect with professionals, expand your network, and participate in collaborative and social activities. Interns are empowered with the tools and support needed to take ownership of their work and grow both technically and professionally.
Basic Qualifications
- Must be at least 18 years old
- Available to work a minimum of 40 hours per week for up to 12 weeks
- Enrolled in an academic program based in the United States
- Experience with data transformation and data processing concepts
- Familiarity with databases, data warehouses, or data lakes
- Proficiency in SQL
- Experience with at least one scripting language (e.g., Python, Scala, KornShell)
- Currently pursuing (or planning to pursue) a Bachelor’s, Master’s, or advanced degree in Computer Science, Computer Engineering, Information Systems, or a related technical field (expected graduation: October 2026 – December 2029)
Preferred Qualifications
- Experience with cloud platforms such as AWS
- Hands-on experience building data pipelines or ETL processes
- Strong SQL skills, including query optimization on large-scale datasets
- Familiarity with big data technologies (e.g., Hadoop, Apache Spark) and data warehouse architecture
- Experience with data visualization tools (e.g., Tableau, AWS QuickSight)
- Previous internship experience or relevant technical projects
- Understanding of data modeling concepts such as normalization, relational models, and dimensional modeling