Senior Data & Backend Engineer
* Work Location Note - Open to national candidates who would work remotely if not in LA area
Strategic Imperative
Chargie is a leading provider of intelligent, intuitive, and reliable electric vehicle charging solutions for modern commercial buildings, multifamily communities, and the growing number of EV drivers. Our vision is to create infrastructure that powers communities in the all-electric future. We are seeking a talented and motivated Senior Data & Backend Engineer to join our team and play a key role in a fast-paced startup environment. If you’re passionate about the EV revolution, we’d love to hear from you! Apply today to join Chargie and contribute to building a sustainable future.
About the Role
As a Senior Data & Backend Engineer, you will stand up and support the data platform that powers analytics, BI reporting, and operational visibility across one of the fastest-growing EV charging networks in the country — while also being able to step directly into backend development when the team needs additional support.
This is a hybrid role at the intersection of data engineering and backend software engineering. You will own the design, build-out, and ongoing support of data pipelines and big-data infrastructure, while remaining hands-on enough to contribute to API development, debug production issues, and support backend services alongside the core engineering team. You will operate with a high degree of autonomy in a lean, high-impact team, directly shaping how data flows, is modeled, and is surfaced to the business.
Beyond platform reliability, this role is an opportunity to help shape how AI is applied across the engineering organization. We are actively looking to leverage AI-powered tooling to improve internal scale, efficiency, and operational workflows — and this person will be a hands-on contributor to that effort.
Key Responsibilities
- Design, build, and support scalable data pipelines and big-data platform infrastructure, from ingestion through transformation to reporting layers.
- Own data architecture and modeling decisions that support analytics, BI reporting, and operational tooling across the organization.
- Build and maintain BI/reporting layers and dashboards for internal stakeholders and leadership, using tools such as Power BI (Microsoft Fabric experience a plus).
- Step into Node.js backend development and production support as needed — contributing to internal GraphQL APIs and RESTful/event-driven services alongside the core engineering team.
- Design and maintain integrations with third-party platforms, vendor APIs, and IoT/OCPP-based EV charging infrastructure systems.
- Build and support integrations with business systems (e.g., Zoho, Atlassian, NetSuite) to connect engineering, operations, and business data.
- Support external reporting to vendors and utilities as this area of demand grows, providing additional coverage alongside the engineering team (a plus).
- Support and improve AWS infrastructure relevant to data and backend services, including deployment pipelines, monitoring, and cost optimization.
- Partner with engineering leads, product, and operations teams to define and deliver features supporting network management, customer experience, and enterprise integrations.
- Establish and uphold quality standards including code review, documentation, testing practices, and CI/CD integration across both data and backend workstreams.
- Leverage AI-assisted development tools (e.g., Claude, Cursor AI) to accelerate development velocity, improve code quality, and explore AI-powered capabilities within the product.