AWS Data Engineer

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ON.energy is setting the standard for large load interconnection. ON’s patented AI UPS™ is a medium-voltage UPS that serves as a firewall, protecting the data center from the grid, and the grid from the data center. With multiple gigawatts currently under construction, we are enabling grid-safe data centers. Role Summary ON.energy is building the power infrastructure that makes the AI era possible. Our systems are deployed across 2.5 GW of hyper-scale campuses, validated by top U.S. national labs, and certified for grid-safe operation by major utilities. You’ll be the fourth engineer on a growing data team, helping scale our AWS-based data lakehouse and working primarily with industrial data sources and high-volume time-series data. No prior experience in the energy sector is required, we’ll support you in learning the domain. Key Responsibilities Build and maintain scalable ETL/ELT pipelines for batch and real-time processing, including high-frequency time-series ingestion. Evolve the Data Lakehouse — optimizing storage, performance, cost, and data consistency. Manage orchestration workflows with complex dependencies and error handling. Deliver production-ready, analytics-optimized datasets, engaging directly with end users to understand how they consume data. Implement data governance, security controls, and audit policies across the AWS ecosystem. Build monitoring, alerting, and data quality testing for platform reliability. Key Requirements Bachelor’s degree in Computer S

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