Sr Data Engineer

About EVgo

EVgo (Nasdaq: EVGO) is one of the nation’s largest public fast charging networks for electric vehicles. Our mission is to build a sustainable business that powers our transportation and protects our planet. As a leader in clean transportation, EVgo sits at the intersection of technology, infrastructure, and innovation. We are rapidly expanding our national footprint through strategic partnerships with retailers, automakers, rideshare and fleets, bringing fast charging to communities across the country.

EVgo enables drivers of all makes and models to charge where they want, when they want. At EVgo, sustainability is not just what we do; it is who we are. We are committed to reducing carbon emissions, advancing clean energy solutions, and building infrastructure that supports a more sustainable future. We believe great companies are built by great people. Our culture is mission driven, customer centric, collaborative, and innovative, with a strong focus on creating an environment where employees can grow and make a lasting positive impact.

Join us as we charge forward.

The Senior Data Engineer will play a critical role in driving EVgo’s network growth strategy by leveraging data to inform decision‑making across charger deployment, utilization, and customer experience. This role sits at the intersection of data science and data engineering, responsible for building scalable data pipelines, developing advanced analytics and models, and translating complex data into actionable insights. Partnering closely with Product, Data Engineering, and Analytics teams, this individual will design and implement data models and AI‑driven solutions that power network planning and optimization.

The role will also contribute to the evolution of EVgo’s data architecture, ensuring data quality, accessibility, and scalability to support a rapidly growing charging network. This is a highly impactful opportunity for a hands‑on data engineer who thrives in a fast‑paced environment and is excited to shape how data and AI drive business outcomes in the electric vehicle ecosystem.

• Identifying, processing, and making data available for network planning software development, analysis, and reporting.
• Collaborate with cross‑functional teams, including data analysts, data scientists, and product managers, to understand and scope requirements to ensure data infrastructure meets project needs.
• Design and implement robust data pipelines to ingest, transform, and store data from various internal and external sources.
• Oversee the development and maintenance of the data warehouse, to ensure data quality, integrity, and security.
• Build AI agent semantic layers/data models and architecture for agent decision making and software integrations.
• Evaluate and implement advanced data engineering technologies to enhance the efficiency and scalability of data processing.
• Provide strategic guidance on data architecture and contribute to the overall data governance framework.

• Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 3 years and a Master’s degree; or a PhD without experience; or equivalent work experience.

• Strong expertise in designing and implementing Python data pipelines. Proficiency in working with Pandas/Polars or other dataframe libraries is a plus.
• Proficient in reading/writing SQL, database design, optimization techniques, and debugging. Proficiency in Snowflake or other columnar warehouses is a plus.
• Solid understanding of cloud‑based data storage and processing solutions (e.g., AWS, Azure, and Snowflake).
• Experience with version control systems (Github, Gitlab, etc.) and collaborative development practices.
• Excellent communication and leadership skills, with the ability to work effectively in a collaborative, fast‑paced, and dynamic team environment.
• Experience with Cron job and/or scheduling of scripts in a microservices architecture.
• Strong problem‑solving and analytical skills with ability to communicate complex, technical ideas.
• Interest in performing other tasks such as data analysis, data validation, and data visualization.…