Software Developer, Software Engineer, Data Engineer

Software Developer

Beaumont, CA

• Design and implement data ingestion pipelines for BESS sites, including Modbus register polling, SCADA-based data acquisition, and large-scale time-series data synchronization using Python and SQL.
• Develop backend monitoring tools and software systems to process operational data, including Timescale
  
  DB/MySQL ETL workflows, automated alerting logic, email/API notification systems, and anomaly detection rules.
• Build automation scripts and services for daily, weekly, and monthly reporting for energy-storage sites, optimizing the reliability, latency, and accuracy of data used for maintenance and operational decision‑making.
• Implement algorithms for anomaly detection, including statistical deviation checks, missing-data analysis, sensor consistency validation, and site-level issue diagnostics to improve system efficiency.
• Develop internal web‑based dashboards and tools to visualize site performance, track equipment status, analyze system trends, and support field operations and remote monitoring teams.
• Optimize SQL databases and data-processing workflows, ensuring performance, data integrity, indexing efficiency, and automated routines for importing, cleaning, and aggregating operational site data.
• Deploy and maintain containerized services (e.g., Docker-based) and implement CI/CD processes used for internal monitoring and automation systems.
• Write technical documentation for internal systems, data models, operational workflows, and troubleshooting guidelines for engineering and field-operations teams.
• Collaborate with cross-functional teams, including site engineers, operations, engineering leads, and management, to define system requirements and deliver software features that improve field reliability and monitoring accuracy.
• Continuously improve and update monitoring tools by evaluating new technologies, data-processing approaches, and software frameworks relevant to energy-storage operations and grid-scale energy systems.

Master’s degree in Computer Science or a related field. Require graduate level coursework in Pattern Recognition and Data Mining, Computer Networks, Operating Systems, Design & Analysis of Algorithms.

Monday – Friday 9:00 a.m. – 5:00 p.m.

40 hours per week

$120,000 per year