Tesla Internship Data Engineer Cell Engineering Fall 

United States, California, Palo Alto 

883781026

Designing tests and analyzing data to explore fundamental battery degradation modes or drive actionable recommendations to improve vehicle product performance/quality

Identify, analyze, and interpret trends of patterns in complex data sets and depict the story via dashboards and reports

Write efficient SQL/Python code and complex queries across extensive data sets

Work effectively with engineers and conduct end-to-end analyses, from data requirement gathering, to data processing and modeling

Automate analyses and author pipelines using SQL, Python, and Airflow based ETL framework

Currently pursuing a degree in Computer Science, Data Science or a related field

Significant, demonstrated technical contributions towards past projects

Programming experience with Python (preferred), MATLAB, and/or JavaScript

Experience with continuous integration / continuous deployment

Some familiarity with dev-ops tools: Git, Jenkins, Docker, Kubernetes, Splunk, Redis

Experience with distributed computing (Spark/Hive/Hadoop)

Experience creating data products and dashboards in Tableau, R Shiny, or D3

First principles understanding of engineering concepts with relevant project/research experience

Excellent communication skills, both verbal and written

Ability to work independently on multiple projects with complex requirements