19 May Data Engineer (3 Month Intern)
Posted at 08:00h
in Open Career
About the job
- Consider before applying: This position is expected to start around Aug/Sep and continue through Dec/Jan. Internships are in-person for 40 hours a week for a minimum of 12 weeks. Please consider before submitting an application.
- International Students: If your work authorization is through CPT, please consult your school before applying. You must be able to work 40 hours per week. Many students will be limited to part-time depending on their academic standing.
- The Internship Recruiting Team is driven by the passion to recognize emerging talent. Our year-round program places the best students in positions that they will grow both technically and personally through their experience working closely with their Manager, Mentor, and team. We are dedicated to providing an experience that allows for the intern to experience life at Tesla by giving them ownership over projects that are critical to their team’s success.
What You’ll Do
- Analyze data and extract useful statistics and insights to drive meaningful improvements to production quality and customer experience
- Work effectively with engineers and conduct end-to-end analyses, from data requirement gathering, to data processing and modeling
- Interpret data and analyze results using statistical techniques to provide ongoing reports
- Identify, analyze, and interpret trends or patterns in complex data sets and depict the story via dashboards and reports
- Acquire data from primary or secondary data sources and maintain databases/data systems to empower operational and exploratory analysis
- Drive underlying data systems improvement by working with key cross-functional stakeholders
What You’ll Bring
- Currently pursuing a degree in Computer Science, Information Technology or a related field of study and graduating between 2025-2026
- Proficiency in one or more of the following developer skills: Python, Java, Go, C/C++, Ruby, SQL or other common industry languages
- Familiarity with database concepts such as MySQL, MS SQL
- Nice to have: AirFlow, Splunk, Kafka, Spark
- Excellent grasp of fundamental computer science concepts and ability to write well-organized code
- Eagerness to collaborate cross-functionally with other engineering teams while able to work independently; detail-oriented and execution focused