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Data Engineer Intern, Energy
Tesla · Palo Alto, CA · Posted 3 days ago
"Build data pipelines and fleet analytics that keep Tesla's renewable energy products performing for customers across the Energy portfolio."
CategoryEngineering & Information TechnologyLocationPalo Alto, CaliforniaRequisition ID287982TypeIntern/ApprenticeJob DescriptionConsider before submitting an application:
This position is expected to start January 2027 and continue through the entire Spring term (i.e., through April) or into early Summer 2027, if available. We ask for a minimum of 12 weeks, full-time, for most internships.
International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. You must be able to work 40 hours per week on-site. Many students will be limited to part-time during the academic year.
The Internship Recruiting Team is driven by the passion to recognize and develop emerging talent. Our year-round program places the best students in positions where they will grow technically, professionally, and personally through their experience working closely with their Manager, Mentor, and team. We are dedicated to providing an experience that allows the intern to experience life at Tesla by including them in projects that are critical to their team’s success.
Job ResponsibilitiesApplicants may be reviewed by one or more of the following teams: Energy | Asset Management
The Energy Asset Management team is responsible for preparing data for analytical and operational uses across all energy products. The team builds and maintains data pipelines that consolidate data from different systems into a structured format that can be consumed by the team to build reports, dashboards and drive decisions.
Deploy data pipelines that transform data into structured output for analytics in a robust, efficient and scalable frameworkBuild tools and frameworks to help users summarize and explore the dataAutomate reporting and data quality checksProvide ongoing support for deployed pipelinesEnergy | Service Transformation & Analytics
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