Data Engineering Intern: Spark, Python & ML for Data Insights

Qorvo, Inc.; Bend (OR); On-site; USD 43,000 - 58,000; Full time

Job summary

Qorvo, Inc. seeks a Data Engineering Intern in Bend, OR to analyze large datasets, surface trends, and build ML-ready features with Python, Spark, and AWS. You’ll help forecast and optimize models and collaborate with engineers to move prototypes toward production.

Ideal candidates pursue BS/MS/PhD in Data Science, CS, or related fields with a 3.0+ GPA. Proficiency in Python and libraries (pandas, scikit-learn, NumPy) and familiarity with SQL and Git are expected.

Qualifications

• Pursuing BS/MS/PhD in Data Science, CS, Stats, or related field.
• Minimum GPA 3.0.
• Proficiency in Python and data science libraries (pandas, scikit-learn, NumPy).
• Coursework or hands-on experience in statistics, machine learning, or experimental design.
• Familiarity with SQL and Git; exposure to Spark or cloud platforms is a plus.
• Strong organization skills and attention to detail.

Responsibilities

• Explore and analyze large, complex datasets to surface trends and insights.
• Build, train, and validate ML models for forecasting, classification, and optimization.
• Engineer features from structured and unstructured data 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.

Skills

Python

Data analysis

Education

BS/MS/PhD in Data Science, CS, Stats, or related field

Tools

SQL

Git

Spark

AWS

Job description

Qorvo, Inc. seeks a Data Engineering Intern in Bend, OR to analyze large datasets, surface trends, and build ML-ready features with Python, Spark, and AWS. You’ll help forecast and optimize models and collaborate with engineers to move prototypes toward production.

Ideal candidates pursue BS/MS/PhD in Data Science, CS, or related fields with a 3.0+ GPA. Proficiency in Python and libraries (pandas, scikit-learn, NumPy) and familiarity with SQL and Git are expected.