<div><h3>About Us</h3><p>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.</p><p>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.</p><p>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.</p><p>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.</p></div><h3>Reports To</h3><p>Director, Data Engineering</p><h3>What You Will Be Doing</h3><p>As a Staff Data Engineer at ChargePoint , you will play a crucial role in designing, building, and maintaining our data infrastructure. You will collaborate closely with cross-functional teams to ensure the availability and reliability of data for various analytical and reporting needs. If you are passionate about data engineering, excited to tackle challenges, and have a strong background in developing robust data pipelines, we want to hear from you.</p><p><strong>What You Will Bring to ChargePoint:</strong></p><ul><li>Data Pipeline Development: Design, build, and optimize data pipelines to ensure the efficient and scalable flow of data from source to destination.</li><li>Problem Solving: Demonstrate strong problem-solving and logical reasoning skills to address complex data engineering challenges.</li><li>Team Collaboration: Collaborate effectively with cross-functional teams and be a proactive team player.</li><li>Programming: Utilize your programming skills to develop and maintain data pipelines, focusing on reliability and performance.</li><li>Agile Environment: Thrive in an agile work environment, adapting to changing requirements and priorities.</li><li>Python: Leverage your proficiency in Python programming to develop data solutions.</li><li>NLP Understanding: Demonstrate an understanding of Natural Language Processing (NLP) algorithms and the ability to implement them.</li><li>AWS Stack: Possess strong experience with the AWS data stack, including services like [list relevant AWS services].</li><li>Big Data Technologies: Hands-on experience with PySpark, Apache Spark, and CI/CD implementation using Terraform.</li><li>Snowflake and dbt: Experience in building ELT pipelines using Snowflake and dbt.</li><li>BI Tools: Familiarity with BI tools such as PowerBI OR Tableau for data visualization and reporting.</li><li>Data Quality: Understand the importance of data quality and proactively work towards building high-quality data pipelines.</li><li>Machine Learning Application Development: Collaborate with data scientists and MLOps teams to design and implement production-grade machine learning models using both traditional ML and Generative AI techniques.</li><li>Model Deployment and Monitoring: Build end-to-end pipelines for training, deploying, and monitoring ML models, ensuring reliability and scalability.</li><li>Generative AI Integration: Develop applications leveraging LLMs (e.g., OpenAI, Hugging Face models) for tasks such as summarization, classification, recommendation, and conversational AI.</li></ul><p> </p><p><strong>Requirements:</strong></p><ul><li>- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.</li><li>- Proven experience in data engineering and data science with 7-10 years in a similar role.</li><li>- Strong problem-solving skills and logical reasoning.</li><li>- Proficiency in Python programming.</li><li>- Knowledge of NLP algorithms and their implementation.</li><li>- Experience with the AWS data stack.</li><li>- Hands-on experience with PySpark, Apache Spark, and CI/CD using Terraform.</li><li>- Familiarity with Snowflake and dbt for ELT pipelines.</li><li>- Experience with BI tools like PowerBI and Tableau.</li><li>- Strong understanding of data quality best practices.</li><li>- Hands-on experience building and deploying ML models using scikit-learn, XGBoost, TensorFlow or PyTorch.</li><li>- Proficiency with MLOps practices and tools (e.g., MLflow, SageMaker, Vertex AI, Kubeflow, or similar).</li><li>- Experience working with or fine-tuning LLMs or transformer-based models (e.g., GPT, BERT).</li><li>- Familiarity with vector databases (e.g., FAISS, Pinecone) and prompt engineering for Generative AI applications.</li></ul><h3><strong>Location</strong></h3><p>Bangalore, India</p><p> </p><div><p>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.</p><p>If there is a match between your experiences/skills and the Company needs, we will contact you directly.</p><p>ChargePoint is an equal opportunity employer. <br>Applicants only - Recruiting agencies do not contact.</p></div>

<p>Driving a Better Way</p>
<p>ChargePoint brings electric vehicle (EV) charging to more people and places than ever before with the world's largest and most open EV charging network. We design, build and support all of the technology that powers this network, from charging station hardware to energy management software to a mobile app. Our work transforms transportation and energy use by helping more people choose to drive electric.</p>
<p>Our charging stations, mobile app and network make it easy to charge EVs anywhere. Our energy management solutions help people and businesses shift away from fossil fuels and manage growing demand for EV charging. And our work with multiple stakeholders, from automakers to individual businesses, paves the way for widespread EV adoption.</p>
<p>Every day we add more drivers and businesses to our network, and driving an EV makes even more sense. And that's what we're all about: driving a better way</p>

Staff Data Engineer 

<div><h3>About Us</h3><p>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.</p><p>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.</p><p>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.</p><p>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.</p></div><h3>Reports To</h3><p>Director, Data Engineering</p><h3>What You Will Be Doing</h3><p>As a Staff Data Engineer at ChargePoint , you will play a crucial role in designing, building, and maintaining our data infrastructure. You will collaborate closely with cross-functional teams to ensure the availability and reliability of data for various analytical and reporting needs. If you are passionate about data engineering, excited to tackle challenges, and have a strong background in developing robust data pipelines, we want to hear from you.</p><p><strong>What You Will Bring to ChargePoint:</strong></p><ul><li>Data Pipeline Development: Design, build, and optimize data pipelines to ensure the efficient and scalable flow of data from source to destination.</li><li>Problem Solving: Demonstrate strong problem-solving and logical reasoning skills to address complex data engineering challenges.</li><li>Team Collaboration: Collaborate effectively with cross-functional teams and be a proactive team player.</li><li>Programming: Utilize your programming skills to develop and maintain data pipelines, focusing on reliability and performance.</li><li>Agile Environment: Thrive in an agile work environment, adapting to changing requirements and priorities.</li><li>Python: Leverage your proficiency in Python programming to develop data solutions.</li><li>NLP Understanding: Demonstrate an understanding of Natural Language Processing (NLP) algorithms and the ability to implement them.</li><li>AWS Stack: Possess strong experience with the AWS data stack, including services like [list relevant AWS services].</li><li>Big Data Technologies: Hands-on experience with PySpark, Apache Spark, and CI/CD implementation using Terraform.</li><li>Snowflake and dbt: Experience in building ELT pipelines using Snowflake and dbt.</li><li>BI Tools: Familiarity with BI tools such as PowerBI OR Tableau for data visualization and reporting.</li><li>Data Quality: Understand the importance of data quality and proactively work towards building high-quality data pipelines.</li><li>Machine Learning Application Development: Collaborate with data scientists and MLOps teams to design and implement production-grade machine learning models using both traditional ML and Generative AI techniques.</li><li>Model Deployment and Monitoring: Build end-to-end pipelines for training, deploying, and monitoring ML models, ensuring reliability and scalability.</li><li>Generative AI Integration: Develop applications leveraging LLMs (e.g., OpenAI, Hugging Face models) for tasks such as summarization, classification, recommendation, and conversational AI.</li></ul><p>&nbsp;</p><p><strong>Requirements:</strong></p><ul><li>- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.</li><li>- Proven experience in data engineering and data science with 7-10 years in a similar role.</li><li>- Strong problem-solving skills and logical reasoning.</li><li>- Proficiency in Python programming.</li><li>- Knowledge of NLP algorithms and their implementation.</li><li>- Experience with the AWS data stack.</li><li>- Hands-on experience with PySpark, Apache Spark, and CI/CD using Terraform.</li><li>- Familiarity with Snowflake and dbt for ELT pipelines.</li><li>- Experience with BI tools like PowerBI and Tableau.</li><li>- Strong understanding of data quality best practices.</li><li>- Hands-on experience building and deploying ML models using scikit-learn, XGBoost, TensorFlow or PyTorch.</li><li>- Proficiency with MLOps practices and tools (e.g., MLflow, SageMaker, Vertex AI, Kubeflow, or similar).</li><li>- Experience working with or fine-tuning LLMs or transformer-based models (e.g., GPT, BERT).</li><li>- Familiarity with vector databases (e.g., FAISS, Pinecone) and prompt engineering for Generative AI applications.</li></ul><h3><strong>Location</strong></h3><p>Bangalore, India</p><p>&nbsp;</p><div><p>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.</p><p>If there is a match between your experiences/skills and the Company needs, we will contact you directly.</p><p>ChargePoint is an equal opportunity employer.&nbsp;<br>Applicants only - Recruiting agencies do not contact.</p></div>

Staff Data Engineer

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Charge Point

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