Summer Internship Program
Our Summer Internship Program offers hands-on experience at one of the world's most strategic companies. You will have the opportunity to collaborate with team members across different departments, supporting and leading specific projects. Throughout the 13-week program (from late May to mid-August), you will gain valuable professional experience, build confidence, and enhance your leadership skills. We offer paid internships with remote, hybrid, and onsite options. High-performing interns who align with our values may have the opportunity to secure full-time positions or extended internships within the company.
Responsibilities
- Develop Python scripts to automate data processing tasks.
- Write efficient SQL queries to extract, transform, and analyze data.
- Collaborate with the data engineering team to design and implement ETL/ELT pipelines.
- Build and maintain data pipelines to integrate data from various sources into Snowflake.
- Develop data processing solutions using PySpark for scalable data transformations.
- Participate in code reviews and contribute to improving data engineering best practices.
- Support ad-hoc data requests and troubleshoot data issues.
- Currently enrolled in a Bachelor's or Master's program in Computer Science, Electrical Engineering, or a related field.
- Basic understanding of ETL concepts and data integration processes.
- Proficiency in Python for data processing and automation.
- Strong SQL skills for data extraction and manipulation.
- Analytical mindset with a keen attention to detail.
- Familiarity with any ETL tools (e.g., IICS, AWS Glue).
- Experience with Hadoop, Spark, DataBricks, Snowflake, or other cloud-based data warehouses.
- Knowledge of financial systems and data modeling concepts is a plus.
- Hands-on experience with industry-leading data integration tools and cloud technologies.
- Collaborative and innovative team environment.
- Mentorship from experienced data engineers and exposure to real-world data challenges.
Pay Range: $20.00 - $25.00
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