Data & Deployment Engineer

We are seeking a Data & Deployment Engineer to act as the bridge between software development, data engineering, and hardware deployment teams for our utility-scale Battery Energy Storage Systems (BESS). 

The ideal candidate will bring strong technical foundations in data and DevOps practices, combined with a collaborative mindset to drive cross-functional success. This role focuses on facilitating deployments, ensuring the seamless integration of EMS software, data systems, and hardware, and providing hands-on support for both factory acceptance testing (FAT) and project onboarding. 

Key Responsibilities: 

Deployment & Onboarding 

• Coordinate the deployment of EMS software and data pipelines in both factory (FAT) and field project environments. 

• Act as the primary interface between data, software, and hardware teams, ensuring smooth integration of EMS software, data systems, and site infrastructure. 

• Provide hands-on support during factory acceptance testing (FAT) and site commissioning. 

DevOps for Data & Projects 

• Take end-to-end ownership of DevOps processes for data platforms and project-level EMS deployments  

• Manage CI/CD pipelines to automate data ingestion, ETL workflows, and deployment of EMS containers to factory and field environments. 

• Implement and maintain infrastructure-as-code for reproducible and consistent data and EMS project environments. 

• Establish monitoring, logging, and alerting (e.g., Grafana, Prometheus, ELK) for deployed EMS and data pipelines to ensure high availability and performance. 

• Collaborate with cloud and networking teams to integrate project data flows with enterprise systems and external client environments. 

Data & Integration Support 

• Oversee data pipeline operations, ensuring accurate ingestion, transformation, and storage of time-series telemetry, alarms, and metadata. 

• Validate data mapping and integration between EMS, SCADA, inverters, BMS, and analytics platforms. 

• Support the continuous improvement of data quality, reliability, and scalability across projects. 

Collaboration & Documentation 

• Serve as the deployment and integration lead for cross-functional teams, ensuring clear communication and seamless handoffs between factory, software, and field operations. 

• Document deployment processes, CI/CD workflows, integration steps, and onboarding procedures for repeatable use. 

• Provide technical training and guidance to deployment and operations teams. 

Qualifications and Skills: 

• Bachelor’s or Master’s in Computer Science, Data/Software Engineering, or related field. 

• Experience in data engineering and DevOps with a focus on project deployments. 

• Hands-on skills in CI/CD pipelines, Docker/Kubernetes, and infrastructure-as-code (Terraform/Ansible). 

• Proficiency in Python for automation and data workflows, and C++ for EMS integration and hardware interfacing. 

• Familiarity with time-series databases (InfluxDB, TimescaleDB, etc.) and data pipelines. 

• Understanding of hardware/software integration in EMS, SCADA, or industrial systems. 

• Strong problem-solving, documentation, and cross-functional collaboration skills. 

• Bonus: Experience with energy storage, renewable energy, or critical infrastructure projects.