Data Engineering Intern (Fall)
Skills
- Proficiency in Python, including pandas and numpy libraries.
- Strong knowledge of SQL; experience with PySpark is a plus.
- Basics of cloud platforms, preferably AWS.
- Understanding of fundamental data science concepts such as data cleaning, feature engineering, and regression.
- Familiarity with Apache tools like Spark, Airflow, Kafka, Linux, and Docker is advantageous.
Responsibilities
- Create and maintain scalable ETL data pipelines for operational sensor and machine data.
- Develop dashboards, reports, and visualizations to communicate insights.
- Collaborate with test engineering and data analysis teams to translate business needs into technical data solutions.
- Document IT scripts and support core data systems ensuring reliable workflows.
- Serve as a contact for internal IT needs and coordinate with external partners.
Education
- Currently entering senior year or equivalent in Computer Science, Data Science, or related fields.
- Completed at least one course, internship, or hands-on project in data engineering.
Benefits
- Flexible work hours to fit class schedules.
- Opportunity to work onsite at an innovative climate startup.
- Inclusive, equitable, and diverse workplace culture.
Average salary estimate
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