Data Engineering Intern
About The Position
Qorvo’s Data Engineering Internship is offered within its High Performance Analog business group. Specific projects and responsibilities will be determined by business needs at the time of the internship assignment. Interns may analyze complex datasets, build and evaluate machine learning models, engineer features using Python and Spark on AWS, apply statistical methods to experiments, communicate findings, and work with engineers and analysts to advance promising models toward production. Qorvo’s Internship Program is designed for college students currently enrolled in an accredited bachelor’s, master’s, or PhD program. It offers real work experience, exposure to upper management, and the opportunity to pursue full-time opportunities as available. Program offerings include challenging assignments, mentoring and coaching, learning opportunities, a collaborative team environment, networking and social events, and a final presentation to business leaders. The position is not eligible for visa sponsorship. The stated hourly pay range is $31–$42, commensurate with experience and subject to change based on physical location and other factors.
Requirements
- Currently pursuing a BS, MS, or PhD in Data Science, Computer Science, Statistics, Applied Math, or a related field.
- Minimum GPA of 3.0.
- Proficiency in Python, including common data science libraries such as pandas, scikit-learn, and NumPy.
- Coursework or hands-on experience in statistics, machine learning, or experimental design.
- Strong organizational skills and attention to detail.
Nice To Haves
- Familiarity with SQL and Git.
- Exposure to Spark or cloud platforms.
Responsibilities
- Explore and analyze large, complex datasets to identify trends, anomalies, and actionable insights.
- Build, train, and validate machine learning models for forecasting, classification, and optimization use cases.
- Engineer features from structured and unstructured data sources using Python and Spark on AWS.
- Design and evaluate experiments, applying statistical methods to assess significance and model performance.
- Communicate findings through visualizations, written summaries, and presentations to technical and non-technical audiences.
- Partner with engineers and analysts to move promising models from prototype toward production.
Benefits
- Challenging, skill-building assignments.
- Mentoring and coaching from industry experts.
- Launch & Learns and other learning opportunities.
- Collaborative team-based work environment.
- Networking and social events.
- Final presentation to business leaders.
- Opportunity to pursue full-time opportunities, as available.
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What This Job Offers
Career Level
Intern
