Senior Data Analytics Engineer

Work onsite in Santa Clara, CA and help build analytics that engineers can trust. This role focuses on designing data pipelines and architectures for clean, usable analytics, with an emphasis on scalable monitoring, correlation, dashboards, alerts, and automated anomaly detection across engineering and operational datasets. What you'll deliver Analytics and pipelines that turn CAE, manufacturing, test, telemetry, and operational data into reliable signals. Mission Control analytics covering yield, power, thermal, NVLink, diagnostics, inventory, and other engineering indicators. Automated detection for anomalies, outliers, drift, clusters, and trends. Cross-source correlation across systems including SFC, TestLogs, BOM, diagnostics, shipping, and issue-tracking. Dashboards and drill-down analytics, including reports and alerts. Reusable datasets and data models that support engineering teams and downstream applications. Metric and criteria definition in partnership with subject-matter experts. AI/agent-based analytics support while keeping engineering decisions under human review. Ongoing improvements to data quality, performance, and accessibility.