Data Engineering Intern

With electric vehicles expected to be nearly 30% of new vehicle sales by 2025 and more than 50% by 2040, electric mobility is becoming a reality. ChargePoint (NYSE: CHPT) is at the center of this revolution, powering one of the world's leading EV charging networks and a comprehensive set of hardware, software and mobile solutions for every charging need across North America and Europe. We bring together drivers, businesses, automakers, policymakers, utilities and other stakeholders to make e-mobility a global reality.

Since our founding in 2007, ChargePoint has focused solely on making the transition to electric easy for businesses, fleets and drivers. ChargePoint offers a once-in-a-lifetime opportunity to create an all-electric future and a trillion-dollar market.

At ChargePoint, we foster a positive and productive work environment by committing to live our values of Be Courageous, Charge Together, Love our Customers, Operate with Openness, and Relentlessly Pursue Awesome. These values guide how we show up every day, align, and work together to build a brighter future for all of us.

Join the team that is building the EV charging industry and make your mark on how people and goods will get everywhere they need to go, in any context, for generations to come.

Director 

As a Data Engineering Intern, you will contribute across the full spectrum of data initiatives, engineering, analytics, classical data science, and generative AI. You will work closely with experienced engineers and data scientists to build scalable, reliable data systems and derive insights that help shape business and product decisions

Data Engineering:

• Assist in building and optimizing data pipelines using tools like PySpark, Apache Spark, and dbt.
• Help manage data ingestion, transformation, and storage across systems (e.g., Snowflake, S3).
• Support in maintaining data quality and observability across the data lifecycle.

Classical Data Science:

• Explore datasets, perform feature engineering, and build machine learning models using Python, Scikit-learn, Pandas, etc.
• Conduct statistical analyses and help generate insights to support product and operations teams.

Generative AI (GenAI):

• Experiment with LLMs (e.g., Gemini, GPT, LLaMA, Claude) for use cases like summarization, semantic search, and chatbot development.
• Assist in prompt engineering, fine-tuning small models, or evaluating model outputs using libraries such as LangChain, HuggingFace, or OpenAI APIs.

Tooling & Infrastructure:

• Gain hands-on exposure to AWS services like Lambda, Glue, Redshift, and S3.
• Use Terraform or similar tools to support CI/CD for data infrastructure.

Visualization & Reporting:

• Build dashboards and visualizations using PowerBI or Tableau.
• Communicate insights through clear and compelling data storytelling.

Requirements:

• Pursuing or recently completed a degree in Computer Science, Data Science, or related field.
• Strong Python programming skills.
• Solid understanding of data structures, SQL, and basic data modeling.
• Exposure to machine learning concepts and algorithms.
• Curiosity in emerging GenAI technologies and tools.
• Strong problem-solving mindset and ability to learn quickly.

Excellent communication and collaboration skills.

Location 
Bangalore

We are committed to an inclusive and diverse team. ChargePoint is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

If there is a match between your experiences/skills and the Company needs, we will contact you directly.

ChargePoint is an equal opportunity employer. 
Applicants only - Recruiting agencies do not contact.