> Markdown version of [/jobs/ext/1851373-engineer-design-iv](https://www.wearedevelopers.com/jobs/ext/1851373-engineer-design-iv). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Engineer Design IV - **Company:** Insight Global - **Location:** San Ramon, CA, United States - **Experience:** Starter - **Salary:** $74,880.0 - $93,600.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Distributed Systems, Monitoring of Systems, Supervisory Control and Data Acquisition (SCADA), Machine Learning, Real Time Data, Machine Learning Operations - **Published:** July 7, 2026 - **Apply:** https://jobs.insightglobal.com/jobs/find_a_job/california/san-ramon/engineer-design-iv/job-548445/ ## About the Role * Bachelor's degree in Engineering * 1-2 years of relevant work experience (utility, engineering, distribution operations, or similar fields). * Strong analytical skills and willingness to learn new technologies * Excellent communication skills-able to explain findings clearly to both technical and non technical stakeholders. * Self starter with a "go getter" attitude * Flexible, driven, and eager to work in a fast paced operational environment., * Experience or familiarity with electric distribution systems. * Understanding of distribution equipment: switches, fuses, transformers, voltage behavior, and system protection. * Exposure to sensors, SCADA, or data driven operational tools. * Interest in AI/ML applications and grid modernization technologies. On Site at the San Ramon Continuous Monitoring Center at least 3 days per week ## Description The Continuous Monitoring team is responsible for piloting, validating, and deploying new technologies-including sensors, AI/ML tools, and advanced monitoring systems-to enhance operational visibility and grid reliability. The team develops solutions in house and collaborates closely with external vendors. A core focus of this team is analyzing real time data to identify issues on the electrical grid and help prevent equipment failures and wildfire risks. We are seeking a motivated and flexible Engineer who is eager to learn, grow, and contribute to a high impact operational environment. In this role, you will analyze data from line sensors, electrical models, and field devices to detect faults, identify grid anomalies, and support rapid operational decision making. You will collaborate with analysts, engineers, and field teams to validate findings and issue investigation tags when necessary. Note: Previous experience with RF technology is not required to be successful in this role., * Monitor and analyze incoming distribution system data, including: o Line sensor alerts o Electrical circuit model outputs (e.g., fault currents) o Distribution equipment behavior and trends * Identify potential system faults and determine likely fault locations using sensor and model data. * Issue investigation tags to field crews and follow through on resolution as needed. * Support pilots and deployments of new technologies, sensors, and AI/ML tools. * Work with cross functional teams (engineering, operations, vendors) to improve data quality and system performance. * Contribute to continuous improvement of in house monitoring tools and workflows. * Support analysis of distribution equipment performance, including switches, fuses, transformers, and voltage behavior. * Perform engineering calculations (e.g., voltage, loading, fault currents) to validate alerts or operational conditions. * Manage and interpret data within Foundry and other analytics platforms used by the team. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Designing UX for SRE Agents in High-Stakes Incidents](https://www.wearedevelopers.com/videos/100003-designing-ux-for-sre-agents-in-high-stakes-incidents) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Valven Atlas: Engineering Intelligence That Delivers](https://www.wearedevelopers.com/videos/1660-valven-atlas-engineering-intelligence-that-delivers) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Where To Find Software Engineering Jobs](https://www.wearedevelopers.com/magazine/396-where-to-find-software-engineering-jobs) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated)