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Intern, Data Engineer, Energy
Tesla · Palo Alto, CA · Posted 3 days ago
"Build the data pipelines and dashboards behind Tesla Energy's residential, industrial, and solar products, from fleet analytics to device troubleshooting."
About the role This internship focuses on the Energy sector, where you will work with teams responsible for asset management, service transformation, and fleet analytics. You will help build and maintain data infrastructure that supports decision-making across Tesla Energy products, including residential, industrial, and solar systems.
What you'll do
Deploy and maintain data ELT pipelines to transform raw information into structured output. Write advanced SQL queries on large datasets to generate analytics and drive action. Build tools and frameworks that allow users to explore and summarize data effectively. Create and maintain analytics dashboards to track product performance. Automate reporting and data quality checks. Define and track product KPIs while troubleshooting device issues. Identify and implement corrective actions for hardware, firmware, or process concerns. Use Git and Jira to manage your daily workflow and project tracking.
What you'll need
Currently pursuing a Bachelor's Degree in Computer Science, Computer Engineering, or equivalent experience. Strong proficiency in SQL and Python. Experience building data pipelines using Airflow. Working knowledge of Spark and big data processing. Experience with Git or other source control software. Scala experience is a plus.
Location & details
Location: Palo Alto, California. Modality: On-site, full-time (40 hours per week). Terms: Winter 2027, Spring 2027, or Summer 2027. Compensation: $25.00 - $50.00 per hour plus benefits.
This posting is sourced from Tesla's own career site — applying takes you there directly.
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This role is one of 559 Data Engineer openings and centers on SQL, Python, Airflow, and Spark. There are 4,566 open roles at Tesla right now.
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